Interview Coach
sickn33/agentic-awesome-skills
Full job search coaching system — JD decoding, resume, storybank, mock interviews, transcript analysis, comp negotiation.
Proactive coaching across hydration, breaks, meals, posture and environmental comfort (with the environment skill).
$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill wellbeing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autonomous-ai/Physical-AI-Operating-System wellbeing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/wellbeing .claude/skills/wellbeing && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "wellbeing" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/wellbeing into .claude/skills/wellbeing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wellbeing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/wellbeingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill wellbeing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autonomous-ai/Physical-AI-Operating-System wellbeing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/wellbeing .agents/skills/wellbeing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "wellbeing" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/wellbeing into .agents/skills/wellbeing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wellbeing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill wellbeing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autonomous-ai/Physical-AI-Operating-System wellbeing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/wellbeing .cursor/skills/wellbeing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "wellbeing" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/wellbeing into .cursor/skills/wellbeing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wellbeing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/autonomous-ai/Physical-AI-Operating-System.git --path skills/wellbeing--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill wellbeing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autonomous-ai/Physical-AI-Operating-System wellbeing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/wellbeing .gemini/skills/wellbeing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "wellbeing" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/wellbeing into .gemini/skills/wellbeing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wellbeing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install autonomous-ai/Physical-AI-Operating-System wellbeingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill wellbeing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/wellbeing .github/skills/wellbeing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "wellbeing" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/wellbeing into .github/skills/wellbeing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wellbeing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add autonomous-ai/Physical-AI-Operating-System --skill wellbeing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install autonomous-ai/Physical-AI-Operating-System wellbeing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/Physical-AI-Operating-System.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/wellbeing .opencode/skills/wellbeing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "wellbeing" agent skill from https://github.com/autonomous-ai/Physical-AI-Operating-System/tree/main/skills/wellbeing into .opencode/skills/wellbeing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wellbeing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
wellbeingProactive coaching across hydration, breaks, meals, posture and environmental comfort (with the environment skill).
Wellbeing is an agent skill from autonomous-ai/Physical-AI-Operating-System. Proactive coaching across hydration, breaks, meals, posture and environmental comfort (with the environment skill). Use when an [activity] event fires (message starts with [activity] Activity detected: activity labels. — labels include drink, break, celebrate, the fatigue label "yawning", or sedentary raw labels like "using computer"; sedentary events may also carry a [posturesummary: {...}] block when the user has been at the computer long enough for posture to drift), or when the user reports feeling tired…
Its SKILL.md is about 9.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `reference/discomfort.md`, `reference/meal-reminder.md` and `reference/morning-greeting.md`).
The repository describes itself as: The open-source operating system for physical AI. The licence is Apache-2.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1bbd649. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curljqFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Wellbeing loads about 9.8k tokens when it runs. Until then it costs about 200 tokens; SKILL.md has 4,912 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from autonomous-ai/Physical-AI-Operating-System at commit 1bbd649, republished under its Apache-2.0 licence (© autonomous-ai). 4,912 words, ~9,845 tokens.
.claude/skills/wellbeing/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.For [activity] events, every assistant text message is spoken aloud, including text before or between tool calls. Output only the words addressed to the person, preceded by any HW markers required by the selected route. Never announce reading a skill, name the event/label/route number, explain a decision, draft a response, or describe which markers are needed. Keep routing, cooldown checks, tool plans and drafts only in the model's native thinking/reasoning channel; never repeat them in ordinary text before tools, between tools or in the final reply. If no separate channel is available, omit analysis entirely; do not simulate one with <think> tags in text. Do not add an introduction or afterword to the spoken response.
Automatic speech budget: keep the selected route brief in current_language, excluding required HW markers, or return NO_REPLY when that route requires silence. A routine acknowledgment needs one short sentence; a nudge needs one actionable suggestion with only the context necessary to understand it. Aim for about 20 words, but use a second short sentence when needed to preserve the route's question, relevant measurement, qualification or guidance. Keep every required marker and log action. Direct user requests, discomfort and urgent guidance receive the detail needed; never omit important guidance to meet a word count. Use supplied context and only the tools required by the selected route; do not reload a reference already available in the current turn. After any required tool returns, send only the markers and the concise user-facing reply, without a recap.
Eating reaction: for raw eat labels (eating *, dining, tasting food) in route #1, give exactly one casual sentence of at most 20 words in current_language, then stop. No tool calls, no log marker, no hydration/break nudge, and no habit bootstrap, even when bootstrap_needed=true or a nudge timer is due. This does not change routing for direct user requests or discomfort.
For the standalone eating carrots event with current_language=en, a complete reply is:
Enjoy your carrots!That line is the entire reply, not a sentence to append after analysis. Do not prepend An activity event., Let me check the wellbeing skill, or According to the decision rules. Silently remove such planning text before sending. Other eating reactions may vary the wording within the same one-sentence limit.
A direct report of fatigue, headache, dizziness, stuffiness or difficulty concentrating MUST use reference/discomfort.md before answering, including informal or ungrammatical reports such as “I'm headache, tired, what happen?” or “mệt, đau đầu quá”. Do not wait for an activity tag or an explicit request to check the room.
For non-urgent discomfort with a declared environment capability, consult
skills/environment/SKILL.md and use a current snapshot or one bounded
status read before completing the reply. The check is required in that case;
mentioning a measurement is optional and depends on fresh, relevant evidence.
Urgent reported symptoms take priority over sensor checks. If capability is
absent/unknown, the skill is unavailable, or the read fails, continue ordinary
support without sensor-error commentary or retries. Ordinary room-feeling
reports/questions use the Environmental care branch below, including its
unavailable-data reply, rather than this personal-symptom fallback.
Do not invent an activity event, run the activity/log router below, or infer screen use, duration, dehydration or a symptom cause from the complaint.
For room air quality, measured CO₂, temperature, humidity, [environment:initial] greeting context, [environment:update] events, or a
comparison after ventilation/air cleaning, use skills/environment/SKILL.md for
measurements and interpretation. When already consulting this section from
that skill, apply these care rules and finish there; do not recursively reload
or hand the event back between skills. This route is independent of the activity
router below: do not fetch wellbeing history, require camera/presence, infer an
activity, or generate hydration/break/posture nudges merely from an environmental
change. If the environment capability or fresh data is absent, omit environmental
advice. Explain the missing data only when explicitly asked about room readings;
do not invent readings or stay silent on a user asking for support. Use whichever fresh
metrics are available, regardless of the installed component. Missing or null
metrics do not invalidate other readings or establish a hardware fault; do not
require gas indices before giving supported temperature or CO₂ information.
For ordinary room-feeling reports/questions and their follow-ups, apply
environment's reference/room-comfort.md: one short casual sentence, no numbers,
units, sensor names or tags; its fixed unavailable reply takes precedence over
silent omission for that branch. Explicit numeric requests remain answerable.
Personal symptoms without a room question keep the discomfort route; urgent
symptoms/exposure take priority over sensor checks and brevity.
For other environmental context, follow environment's meaning-first response rule: explain the relevant comfort
observation or practical implication in plain language. Omit numbers by default;
include them only when requested or materially useful, with their meaning.
Never replace missing evidence with a reassuring or alarming air-quality label.
A sustained comfort state from environment is a chance to offer one modest
room adjustment, not to infer illness, fatigue or reduced work performance.
A recovered state does not mean the user recovered. Do not repeat advice just
because a condition remains high; OS controls new events and repeat suppression.
For an automatic environmental update, use only activity, sleep/busy state and
preferences already available in context. Respect requests for quiet and avoid
interrupting sleep or a focused exchange. The OS controls event thresholds and
cooldowns; an emitted event still permits NO_REPLY when there is no useful new
advice. Do not bypass these gates with your own timers or repeated tool calls.
A direct user question should receive an answer even when a proactive reminder
would be inappropriate.
An initial report (reason: "initial") can offer one brief factual observation
without a change or advice. During a startup greeting, add at most one sentence
based on supplied readings, using plain language rather than a numeric readout;
preserve the greeting when readings are absent. For the separate post-greeting update, do not greet again. Never wait
for sensors, fetch data for the greeting, or arrange duplicate follow-ups.
Quiet/sleep preferences still take precedence. A first snapshot says nothing
about improvement, health, or whether the room is safe.
Offer at most one practical suggestion, with room for user choice. A meaningful
improvement can merit a short acknowledgment when it follows an actual user
concern/action; do not congratulate every decrease or say the air is now safe.
Keep observations separate from health claims and never infer concentration,
fatigue, dehydration, disease, CO₂ or oxygen shortage from the available indices.
A fresh measured co2_ppm may support a conditional ventilation suggestion,
but does not establish the cause of tiredness or impaired concentration.
Particle filtration alone does not lower CO₂. Missing CO₂ does not invalidate
other fresh environmental measurements.
No environment-specific wellbeing log action exists: do not POST these events
as activities or misuse hydration/break/posture nudge actions.
Endpoints — use verbatim, never substitute a port or path:
| Purpose | URL |
|---|---|
| Read wellbeing history | http://127.0.0.1:5000/api/openclaw/wellbeing-history |
| Log wellbeing nudge | http://127.0.0.1:5000/api/wellbeing/log |
| Log posture nudge | http://127.0.0.1:5000/api/posture/log |
/api/wellbeing/* or /api/posture/* routes — calling 5001 returns 404 silently and your nudge is lost./root/local/users/<user>/posture/) for clean timeline separation; the wellbeing log keeps hydration/break/meal/sleep/morning rows.5001/audio/play, 5001/face/enroll, 5001/camera/snapshot are unrelated.User attribution: every user field MUST come from the [context: current_user=X] tag the backend injects into the triggering event. Strangers collapse to "unknown". If no context tag is present, default to "unknown".
Thresholds (production values):
HYDRATION_THRESHOLD_MIN = 45
BREAK_THRESHOLD_MIN = 30
BREAK_THRESHOLD_TIRED = 20 # replaces the above when `yawning` is in the labels
YAWN_ACK_COOLDOWN_MIN = 60 # acknowledge a yawn at most once an hour
TOILET_DRINK_THRESHOLD = 2 # count-based — fires once per N drinks since last nudgeThe backend writes activities; you only write nudges. Rows for drink / break / celebrate / yawning / sedentary labels are posted by the backend directly when motion.activity fires — before the event reaches you. Do NOT re-log them. You still POST nudge_hydration / nudge_break because only you know when you actually spoke.
Presence rows (enter / leave) are written by the backend on presence.* events. You never POST those either.
http://127.0.0.1:5000/api/openclaw/wellbeing-history to read history. Never read /root/local/users/*/wellbeing/*.jsonl or /root/local/users/*/posture/*.jsonl with cat, ls, head, tail, grep, or any filesystem tool. Posture history is digested into last_posture_nudge_age_min upstream — no agent-side read is needed.http://127.0.0.1:5000/api/wellbeing/log (hydration / break / toilet / morning / sleep / meal) or http://127.0.0.1:5000/api/posture/log (nudge_posture / praise_posture). Never substitute 5001, 8080, or any other port. Never omit http:// or hardcode localhost.nudge_hydration, nudge_break, nudge_toilet, morning_greeting, sleep_winddown, meal_reminder, noted_yawn (wellbeing log), nudge_posture, praise_posture (posture log). Never invent new actions. (Activity rows — drink, break, yawning, raw sedentary labels, raw eat labels like eating burger / dining / tasting food — are written by the backend, never by you. There are no agent-written posture_alert rows; HAL's per-frame samples live in a separate debug JSONL on the device and never reach the posture history API.)user from memory, KNOWLEDGE.md, chat history, or senderLabel. Only the [context: current_user=X] tag counts.nudge_hydration entry, no nudge has happened — ignore any self-memory claim otherwise.The backend injects a [wellbeing_context: {...JSON...}] block into every
motion.activity turn. Sedentary turns may also carry [posture_summary: {...}]
[computer_streak_min: N] blocks (see reference/posture.md). Do NOT
fire any tool calls to re-fetch this data. Saves the entire read tool turn.Schema (every field is pre-computed in the backend — agent only applies thresholds and picks phrasing):
{
"hydration_delta_min": 8, // minutes since last drink/enter/nudge_hydration; -1 if no reset today
"break_delta_min": 23, // minutes since last break/enter/nudge_break; if none today, minutes since the first real activity row (user seated before presence.enter fired); -1 only when no rows at all
"latest_activity": "using computer", // most recent action label (sedentary or reset); "" if no events
"count_today": {"drink": 3, "break": 1}, // tally of reset actions today; missing key = 0; whole field omitted if all zero
"time_of_day": "afternoon", // morning|noon|afternoon|evening|night — coarse bucket for reaction flavor
"current_hour": 14, // exact hour 0-23 — used by activity router for hour-based routes
"first_activity_today": false, // true when no prior REAL user activity events today (presence enter/leave and agent-written nudges/reminders are NOT counted)
"meal_window": "", // "lunch" (11:30-13:30) | "dinner" (18:30-20:30) | "" — set by current_hour
"meal_signal_in_window": false, // true when a meal signal (meal_reminder you already fired OR a raw eat label like "eating burger" / "dining" the backend logged) already exists in the current window today
"morning_greeting_done_today": false, // true when a morning_greeting action exists today
"sleep_winddown_done_today": false, // true when a sleep_winddown action exists today
"yawn_ack_age_min": -1, // minutes since you last posted `noted_yawn`; -1 = not yet today. Gates route #1b (>= YAWN_ACK_COOLDOWN_MIN or -1 to speak)
"drinks_since_toilet_nudge": 2, // count of `drink` rows logged after the most recent `nudge_toilet` today (or all today's drinks if none yet); counter resets the moment you POST `nudge_toilet`
"patterns": { // wellbeing patterns from patterns.json (mtime < 6h, strength >= moderate); omitted if none
"drink": {"typical_hour": 9, "typical_minute": 15, "strength": "moderate"}
},
"bootstrap_needed": false, // true → patterns missing/stale AND days >= 3; only invoke habit Flow A when also nudging
"last_posture_nudge_age_min": 12 // minutes since the most recent nudge_posture today; -1 if none. Used by posture-nudge / praise routes — see reference/posture.md
}Notes:
-1 means no reset action has happened today yet → treat as "no nudge" (delta undefined).count_today is for reaction phrasing only ("N-th drink today", streak callouts). It does NOT decide whether to speak — that's the trigger labels in the activity message.patterns only surfaces moderate/strong matches. Weak patterns are filtered out by the backend.bootstrap_needed=true does NOT mean run Flow A unconditionally — only if THIS turn fires a nudge.When the user has been sitting + bad-postured long enough, the activity
message carries [posture_summary: {...}] + [computer_streak_min: N]
blocks. See reference/posture.md for the schema, when HAL attaches
it, and the decision logic. The wellbeing context's
last_posture_nudge_age_min corroborates whether a nudge already fired
recently (defends against double-nudge if the agent restarted).
If the message has no [wellbeing_context: ...] block (pre-fetch failed), fall back to the bash batch:
{
echo '---history---'
curl -s "http://127.0.0.1:5000/api/openclaw/wellbeing-history?user=<current_user>&last=50" | jq '.data.events' &
echo '---patterns---'
PATTERNS=/root/local/users/<current_user>/habit/patterns.json
if [ -f "$PATTERNS" ] && [ $(( $(date +%s) - $(stat -c %Y "$PATTERNS") )) -lt 21600 ]; then
cat "$PATTERNS"
fi &
echo '---days---'
ls /root/local/users/<current_user>/wellbeing/*.jsonl 2>/dev/null | wc -l &
wait
}In the fallback path, compute deltas yourself by scanning history for the latest reset action.
Read the [activity] Activity detected: <labels>. message + the [wellbeing_context: ...] block, then pick exactly one route. Apply top-to-bottom, first match wins. Reaction outranks everything — the user just acted; routing past it would feel tone-deaf.
| # | Condition | Route | Output |
|---|---|---|---|
| 1 | labels list contains drink, break, or celebrate OR any raw eat label (eating burger, dining, tasting food, … — i.e. any eating * / dining / tasting food) | reaction | One short acknowledgment per Automatic activity: spoken output only and Reaction; eating reactions retain their 20-word limit. No HW marker (the backend already logged the row upstream). |
| 1b | labels contain yawning AND (yawn_ack_age_min == -1 OR yawn_ack_age_min >= YAWN_ACK_COOLDOWN_MIN) AND current_hour < 21 | yawn reaction | Same shape as #1 — name the yawn, see Reaction. Unlike #1 this one DOES take a marker: POST noted_yawn, which is what starts the hour cooldown. Without the POST you will re-acknowledge every yawn all afternoon. |
| 2 | first_activity_today == true AND current_hour ∈ [5, 11) AND morning_greeting_done_today == false | morning-greeting | See reference/morning-greeting.md. Logs morning_greeting action to gate next firings today. |
| 3 | current_hour >= 21 AND labels are sedentary and/or yawning (no drink/break) AND sleep_winddown_done_today == false | sleep-winddown | See reference/sleep-winddown.md. Logs sleep_winddown action. Replaces break nudge in late evening. A yawning label riding alongside a sedentary one does not disqualify this route — it is the strongest possible confirmation for it. |
| 4 | meal_window is non-empty AND meal_signal_in_window == false | meal-reminder | See reference/meal-reminder.md. Logs meal_reminder action with trigger lunch / dinner. Gate covers BOTH a prior reminder you already fired AND a real eat label the backend logged — so we don't ask "have you eaten?" after a real meal. |
| 5 | [posture_summary] block present in the message | posture-nudge | Speak a posture nudge per the Posture phrasing section + post nudge_posture to the posture log (NOT wellbeing log). Anchor the line on dominant_region and streak_min. Outranks plain break/hydration nudges so we don't double-up on "stand up". |
| 6 | hydration_delta_min >= HYDRATION_THRESHOLD_MIN | hydration-nudge | Speak a hydration nudge per the Phrasing section + post nudge_hydration HW marker. |
| 7 | break_delta_min >= BREAK_THRESHOLD_MIN, or break_delta_min >= BREAK_THRESHOLD_TIRED when the labels contain yawning | break-nudge | Speak a break nudge + post nudge_break HW marker. When the yawn is what brought the threshold down, use the Tired break tone table — the standard lines claim the user has been at it "a while", which is false at 20 minutes. |
| 8 | drinks_since_toilet_nudge >= TOILET_DRINK_THRESHOLD | toilet-nudge | Speak a toilet nudge per the Phrasing section + post nudge_toilet HW marker. The POST resets the counter to 0 → next nudge only after another full N drinks. |
| 9 | anything else (sedentary under threshold, or any delta == -1 → no reset today yet) | silent | NO_REPLY. |
Rules:
action=<route name> so the next event in the same window/day sees *_done_today / *_done_this_window true and skips re-firing.nudge_* row you POST in routes #6 (hydration) / #7 (break) acts as the next reset point for hydration_delta_min / break_delta_min, so once you nudge the delta drops to 0 and the next reminder of that kind only fires after another full threshold window. Route #8 (toilet) similarly resets drinks_since_toilet_nudge to 0 on POST.[posture_summary] block only appears at the end of each completed window where bad_ratio crossed the threshold AND the user is still sedentary. Your POST does not by itself reset a timer; if the block is absent, you cannot nudge.using computer at 70 min since last break →
break nudge (route #7). Checking the emotion marker format before speaking" —
the lamp read that out and never got to the nudge. Never announce a step you are
about to take ("Checking…", "Let me read…", "I'll log X then respond"): do it, then
speak. Start the reply at the first word the user should hear.When the activity labels include drink, break, celebrate, or any raw eat label (eating burger, dining, tasting food, …), always speak — silence on a positive action makes the device feel dead. This is the path the user explicitly asked for: short, surprised, casual acknowledgments instead of stoic NO_REPLY.
yawning also reacts (route #1b), and you name it directly — "that's a big yawn", "ngáp rồi kìa" — exactly like eating burger gets a comment about the burger. Do not soften it into "you seem tired"; that both reads as coy and asserts a state you didn't observe. Say what you saw and let a question carry the rest ("long morning?") — if the detection was wrong, an unanswered question costs nothing, where a wrong verdict about how someone feels does not. The camera rule still holds: name the yawn, never the sensor.
Two differences from the labels above:
yawn_ack_age_min is -1 or >= YAWN_ACK_COOLDOWN_MIN (60), and only before 21h. Yawning recurs where a drink doesn't, so without the throttle a tired afternoon becomes four identical "you look wiped" lines an hour.[HW:/wellbeing/log:{"action":"noted_yawn",...}]. This is the only reaction that writes a marker, and it is what arms the cooldown.After 21h the yawn belongs to sleep wind-down (#3), which outranks this — don't acknowledge it here, let the wind-down carry it.
Inputs to weave in (use what fits, ignore what doesn't):
count_today.drink / count_today.break — N-th of the day, streak, milestone.time_of_day and meal_window — morning kickoff, mid-afternoon dip, lunch time, late at night.hydration_delta_min / break_delta_min — small (e.g. 2) = back-to-back, big (e.g. 90) = first in a long gap.drink, using computer → comment on hydrating mid-screen-time; eating burger → comment on the specific food).Form:
[HW:...] marker — except the yawn reaction (#1b), which posts noted_yawn. For every other label the underlying drink / break / eat row was already written by the backend.Variety is non-negotiable.
The same drink + same count + same time-of-day will reach you many times in a single day. Never repeat a reaction sentence verbatim, and don't lean on the same opener twice in a row. A canned-feeling "I'm noticing you" loop is the exact failure mode this section exists to prevent.
You have the conversation context — use it. Look at what you said in your last few reactions this session and intentionally diverge: different opener, different angle (count vs. timing vs. mood vs. the sedentary label paired with it), different wording within the one-sentence limit. Make this brief check privately; do not generate or narrate multiple drafts.
If you genuinely cannot think of a fresh angle, prefer a shorter line ("Nice.") over recycling.
Example tones — illustrations only, never copy verbatim:
eating burger)dining in lunch window)eating spaghetti, evening)eating cake, off-meal)celebrate — clap/applause/celebration)yawning)yawning)yawning + using computer)yawning, later in the day)yawning, Vietnamese)After speaking, you are done — no log POST, no extra tool calls, no follow-up question unless something is genuinely off (e.g. 8th drink in an hour). Exception: the yawn reaction (#1b) DOES post noted_yawn — that marker is the hour cooldown.
If you decided to nudge AND the context block has bootstrap_needed=true → invoke habit/SKILL.md Flow A in a separate tool turn to bootstrap patterns.json from the multi-day log. Otherwise, do not load habit/SKILL.md — the patterns field in the context block is sufficient (or no patterns yet, that's fine).
Bootstrap is rare (file already exists for active users); the common path is "patterns object present → use it directly".
If the context's patterns map has an entry for the action you are about to nudge:
(action == nudge_target, now within typical_hour:typical_minute ± ~30min) → weave it into the speech ("you usually drink around now — everything okay?").patterns omitted) → use generic phrasing.If you decided NOT to nudge (NO_REPLY) → never invoke Flow A. Habit bootstrap piggybacks on real nudge events, not idle motion ticks.
Posture nudges (route #5) do NOT trigger habit Flow A — the patterns field in [wellbeing_context] is keyed on drink / break reset actions only, and bootstrap_needed is computed from the wellbeing log alone.
Example: hydration nudge fires at 9:15am, patterns.json says drink @ hour=9 typical_minute=10 → "you usually have water around now — grab a glass?"
Talk like a friend, not a wellness app. Usually use one short sentence with one concrete suggestion and at most one brief observation or reason. A second short sentence is allowed when needed to make that suggestion understandable or appropriately qualified. Do not expand merely for variety, explain the routing, or append a recap.
Weave in a health-context line when it fits (one short clause, never a lecture):
Use at most one health line per nudge. If the same user got the same health line in this session, switch to a different angle (observation, count, time-of-day, playful) instead. Health framing is seasoning, not the dish.
⛔ Never speak a table row verbatim. The tables below show tone (observation + soft question + optional reason), not a script. Paraphrase every turn — even if the activity is the same as last time. A canned-feeling loop is the exact failure mode this section exists to prevent.
Variety self-check before speaking:
Ground each phrasing in the current raw label from the Activity detected: line so the nudge feels observed, not generic.
reference/posture.md)Anchor on streak length (rounded — "nearly an hour", never the exact
number), dominant_region, one concrete fix, optional health-context
clause. Side prefix only for arm/wrist when L/R sub-scores differ ≥ 2.
Full tone table + health-framing guardrails + praise route + HW marker
shape live in reference/posture.md.
| Raw label | Example tone |
|---|---|
using computer | "Quick sip of water during your screen time?" |
writing | "Pen's been busy — water nearby?" |
texting | "Phone's had your attention — got water nearby?" |
reading | "Sip of water before the next page?" |
drawing | "Water within reach while you draw?" |
playing controller | "Keep water within reach when there's a pause in the game?" |
| (no label) | "Fancy a sip of water?" |
| Raw label | Example tone |
|---|---|
using computer | "You've been at the screen a while — look away for twenty seconds?" |
writing | "Pause the writing for a short walk?" |
texting | "Put the phone down for a moment and stretch your shoulders?" |
reading | "Pause your reading and look out the window for a moment?" |
drawing | "Pause the drawing and give your hands a short rest?" |
playing controller | "After this round, stand up and stretch your legs?" |
| (no label) | "You've been sitting a while — fancy a short walk?" |
Use whenever yawning is in the labels and route #7 wins — not only when the yawn is what lowered the threshold. Ground the line in the yawn you actually saw rather than in a duration claim: the standard break lines lean on "you've been at it a while", which is untrue at 20 minutes and generic at three hours. Name the yawn; never name the camera.
| Vibe | Example tone |
|---|---|
| gentle | "Big yawn — fancy standing up for a couple of minutes?" |
| practical | "Big yawn — take a quick break?" |
| light | "Yawning at the screen — quick lap around the room?" |
| direct | "That's a big yawn — want to take five?" |
Say what you saw, not how they feel. "That yawn wasn't subtle" is an observation; "you're running on fumes" is a verdict on someone's inner state from a mouth opening on camera. People yawn from boredom, stretching, or because someone near them did — so a diagnosis is a guess, and when it's wrong it's wrong about them, which lands worse than being wrong about a number. Suggest the break; don't tell them how tired they are.
Pair it with the sedentary label when one is present ("yawning at that screen — eyes need it too"). Do not stack this with the standard break table — pick one register.
This only fires after several drinks, so the natural opener is "you've had a fair bit to drink already". Keep it casual — bathroom talk isn't shy, but it isn't a lecture either.
| Vibe | Example tone |
|---|---|
| caring | "You've had a few drinks — need a bathroom break?" |
| playful | "That's {count} drinks — time for a bathroom break?" |
| straightforward | "Need a quick bathroom break after those drinks?" |
| gentle | "Want to take a bathroom break?" |
If count_today.drink is in context, weave it in concretely ("that's four drinks already"). If not, just say "you've drunk a fair bit by now". The kidney/bladder framing is the user's explicit ask — it's OK to mention, just don't say it the same way twice in a row.
If multiple sedentary labels are present, pick the one that fits best or blend (e.g. eyes + wrists both deserving a break). Tables are starting points, not scripts — write your own sentence each turn.
Embed at the start of your spoken reply:
[HW:/wellbeing/log:{"action":"nudge_hydration","notes":"<your nudge text>","user":"<current_user>"}] <your nudge sentence>Same shape for break (action="nudge_break") and toilet (action="nudge_toilet"). The marker:
Posture variant — different endpoint. Posture nudges target
/posture/log (NOT wellbeing log) with action=nudge_posture and
nudge_level: 4. Praise uses the same path with
action=praise_posture. Full marker shape + curl fallback in
reference/posture.md.
Do not duplicate backend-logged drink/break/eat/celebrate rows for ordinary Reaction replies. The yawn reaction is an exception: keep its noted_yawn marker to start the existing cooldown. Keep the logs explicitly required by the chosen morning-greeting, sleep-winddown, meal-reminder, or nudge route as well. A silent no-action route needs no nudge marker. Posture uses /posture/log for nudge_posture / praise_posture, not /wellbeing/log. The notes field is the same sentence you're about to speak — it's what the timeline will display.
Do NOT use curl exec for this log. That would consume a tool turn (~5-7s LLM-think on the result) for a side-effect that has nothing to wait for. The HW marker path is single-trip.
If you see a runtime error parsing [HW:/wellbeing/log:...], fall back to:
curl -s -X POST http://127.0.0.1:5000/api/wellbeing/log \
-H 'Content-Type: application/json' \
-d '{"action":"nudge_hydration","notes":"<your nudge text>","user":"<current_user>"}'Posture fallback uses a different path — see reference/posture.md.
presence.enter / presence.leave / presence.awayBackend writes the enter / leave rows. You do nothing for these events — stay silent (NO_REPLY) unless there's something genuinely worth saying.
| Action | Written by | Meaning |
|---|---|---|
drink, break | the backend (on motion.activity, before event reaches you) | User acted. Reset point. |
celebrate | the backend (on motion.activity) | User celebrated (clap / applause / celebration), collapsed to the bucket name. Reaction only — not a reset point for break/hydration timers. |
Raw eat labels — eating burger, eating cake, eating carrots, eating doughnuts, eating hotdog, eating ice cream, eating spaghetti, eating watermelon, dining, tasting food | the backend (on motion.activity) | User ate. Raw labels kept (same hybrid as sedentary) so reaction phrasing can ground in the specific food. Counts as meal signal for the meal-reminder gate, not as a reset for break/hydration timers. |
using computer, writing, texting, reading, drawing, playing controller | the backend (on motion.activity) | Sedentary — logged for timeline + phrasing. reading covers book/newspaper (collapsed in HAL). Not a reset point. |
yawning | the backend (on motion.activity) | Fatigue evidence, kept raw like the sedentary labels. Reacts like drink/eat but throttled to once an hour and only before 21h (route #1b), lowers the break threshold to BREAK_THRESHOLD_TIRED (route #7), and confirms sleep-winddown (route #3). Not a reset point for the hydration/break timers, and does not count as the day's first activity. |
noted_yawn | You, after acknowledging a yawn (route #1b) | Wellbeing log. The only reaction that writes a marker — it arms yawn_ack_age_min, which is what stops the next yawn being acknowledged for an hour. |
enter, leave | Backend (on presence.* events) | Session boundary; deduped against last presence row, so stranger-ID churn collapses. Reset point. |
nudge_hydration, nudge_break | You, after speaking a nudge | Wellbeing log. Timeline + reset for next window. |
nudge_toilet | You, after a toilet nudge | Wellbeing log. Resets drinks_since_toilet_nudge counter to 0. Sparse by design: only re-fires after another N drinks. |
morning_greeting | You, on the morning-greeting route | Wellbeing log. Once-per-day gate; suppresses re-firing today. |
sleep_winddown | You, on the sleep-winddown route | Wellbeing log. Once-per-day gate; suppresses re-firing tonight. |
meal_reminder | You, on the meal-reminder route | Wellbeing log. Once-per-window gate (lunch / dinner separately). |
nudge_posture | You, on the posture-nudge route | Posture log (separate JSONL). Carries nudge_level=4. HAL's cooldown already gates re-firing for ~30 min — your POST does not by itself reset it. |
praise_posture | You, when the user clearly fixed posture after a recent nudge | Posture log. Rare — only when context shows improvement following an agent nudge in the last ~30 min. |
Emotional labels (laughing, crying, singing) are filtered upstream and never reach this skill via motion.activity — they'll arrive on a separate motion.emotional event in a future version. yawning is the exception: it is NOT emotional, it's fatigue evidence, and it does reach you as a raw label (see route #7 and the action reference below).
© autonomous-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files in skills/wellbeing of autonomous-ai/Physical-AI-Operating-System.
Open the folder on GitHubat commit 1bbd649
Wellbeing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Wellbeing this skillautonomous-ai/Physical-AI-Operating-System | 381 | — | ~9.8k | Automated safety check: Pass | Apache-2.0 | |
| Interview Coachsickn33/agentic-awesome-skills | 47k | 2 repos | ~751 | Automated safety check: Pass | MIT | |
| Claude Coachalirezarezvani/claude-skills | 28k | — | ~2.1k | Automated safety check: Pass | MIT | |
| V5 Breaking Changesremotion-dev/remotion | 63k | — | ~879 | Automated safety check: Pass | Custom licence | |
| Reflection Coachpaperclipai/paperclip | 99k | — | ~3k | Automated safety check: Pass | MIT | |
| ProactivityPrismer-AI/PrismerCloud | 1.6k | — | ~987 | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Full job search coaching system — JD decoding, resume, storybank, mock interviews, transcript analysis, comp negotiation.
alirezarezvani/claude-skills
Personal coach that teaches users to become Claude power users.
remotion-dev/remotion
Implement or review a Remotion 5 breaking change while the v4 and v5 release lines still share code.
paperclipai/paperclip
Reflect on another agent's recent execution record and propose the smallest durable instruction, skill, or tool-description change.
Prismer-AI/PrismerCloud
Propose a proactive action (a clarifying question or a heads-up) to your human manager WITHOUT spamming.
hashicorp/terraform-provider-aws
Review a PR for possible breaking changes. An agent skill from hashicorp/terraform-provider-aws.
autonomous-ai/Physical-AI-Operating-System
Legacy Autonomous Buddy control for explicitly requested Buddy coding sessions.
autonomous-ai/Physical-AI-Operating-System
Push Claude Code activity to the user's device (e.g. An agent skill from autonomous-ai/Physical-AI-Operating-System.
autonomous-ai/Physical-AI-Operating-System
Operate apps/websites on the paired Mac via Buddy: Calendar, Notes, forms, screenshots, files.
autonomous-ai/Physical-AI-Operating-System
Discover and use linked third-party services (Gmail, Google Calendar, Google Drive, Notion, Figma, Asana, Linear, GitHub, Ahrefs, Facebook Fan Page and others).
autonomous-ai/Physical-AI-Operating-System
Delegate digital work to agents on the computer paired through Harness; discover Store packages and prepare an agent when needed.
autonomous-ai/Physical-AI-Operating-System
Low-level speaker and microphone hardware control — adjust volume, play test tones, record raw audio.
Proactive coaching across hydration, breaks, meals, posture and environmental comfort (with the environment skill). Wellbeing is an agent skill from autonomous-ai/Physical-AI-Operating-System. Proactive coaching across hydration, breaks, meals, posture and environmental comfort (with the environment skill).
Wellbeing fits situations like: an [activity] event fires (message starts with [activity] Activity detected: activity labels; has been at the computer long enough for posture to drift); the user reports feeling tired; having a headache.
Run `npx skills add autonomous-ai/Physical-AI-Operating-System --skill wellbeing -a claude-code`. Or copy the skill folder (skills/wellbeing in autonomous-ai/Physical-AI-Operating-System) into .claude/skills/wellbeing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add autonomous-ai/Physical-AI-Operating-System --skill wellbeing -a codex`. Or copy the skill folder (skills/wellbeing in autonomous-ai/Physical-AI-Operating-System) into .agents/skills/wellbeing in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add autonomous-ai/Physical-AI-Operating-System --skill wellbeing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wellbeing, .gemini/skills/wellbeing, .github/skills/wellbeing and .opencode/skills/wellbeing in your project.
Going by SKILL.md and its folder, Wellbeing needs the command-line tools its instructions call (curl and jq).
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Wellbeing is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 9.8k tokens (SKILL.md is roughly 39k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Wellbeing: Interview Coach (sickn33/agentic-awesome-skills, 47k stars), Claude Coach (alirezarezvani/claude-skills, 28k stars), V5 Breaking Changes (remotion-dev/remotion, 63k stars) and Reflection Coach (paperclipai/paperclip, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
autonomous-ai (a GitHub organization) maintains it in autonomous-ai/Physical-AI-Operating-System, which has 381 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 9, 2026.
Source: autonomous-ai/Physical-AI-Operating-System on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.