Gh Issues
trpc-group/trpc-agent-go
Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments.
Cyclic shift execution engine. An agent skill from profbernardoj/everclaw-community-branches.
$ npx skills add profbernardoj/everclaw-community-branches --skill three-shifts -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install profbernardoj/everclaw-community-branches three-shifts --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/profbernardoj/everclaw-community-branches.git skills-src && mkdir -p .claude/skills && cp -r skills-src/three-shifts .claude/skills/three-shifts && 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 "three-shifts" agent skill from https://github.com/profbernardoj/everclaw-community-branches/tree/main/three-shifts into .claude/skills/three-shifts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "three-shifts", 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/profbernardoj/everclaw-community-branches/tree/main/three-shiftsType 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 profbernardoj/everclaw-community-branches --skill three-shifts -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install profbernardoj/everclaw-community-branches three-shifts --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/profbernardoj/everclaw-community-branches.git skills-src && mkdir -p .agents/skills && cp -r skills-src/three-shifts .agents/skills/three-shifts && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "three-shifts" agent skill from https://github.com/profbernardoj/everclaw-community-branches/tree/main/three-shifts into .agents/skills/three-shifts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "three-shifts", 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 profbernardoj/everclaw-community-branches --skill three-shifts -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install profbernardoj/everclaw-community-branches three-shifts --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/profbernardoj/everclaw-community-branches.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/three-shifts .cursor/skills/three-shifts && 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 "three-shifts" agent skill from https://github.com/profbernardoj/everclaw-community-branches/tree/main/three-shifts into .cursor/skills/three-shifts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "three-shifts", 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/profbernardoj/everclaw-community-branches.git --path three-shifts--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 profbernardoj/everclaw-community-branches --skill three-shifts -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install profbernardoj/everclaw-community-branches three-shifts --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/profbernardoj/everclaw-community-branches.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/three-shifts .gemini/skills/three-shifts && 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 "three-shifts" agent skill from https://github.com/profbernardoj/everclaw-community-branches/tree/main/three-shifts into .gemini/skills/three-shifts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "three-shifts", 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 profbernardoj/everclaw-community-branches three-shiftsInstalls 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 profbernardoj/everclaw-community-branches --skill three-shifts -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/profbernardoj/everclaw-community-branches.git skills-src && mkdir -p .github/skills && cp -r skills-src/three-shifts .github/skills/three-shifts && 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 "three-shifts" agent skill from https://github.com/profbernardoj/everclaw-community-branches/tree/main/three-shifts into .github/skills/three-shifts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "three-shifts", 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 profbernardoj/everclaw-community-branches --skill three-shifts -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install profbernardoj/everclaw-community-branches three-shifts --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/profbernardoj/everclaw-community-branches.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/three-shifts .opencode/skills/three-shifts && 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 "three-shifts" agent skill from https://github.com/profbernardoj/everclaw-community-branches/tree/main/three-shifts into .opencode/skills/three-shifts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "three-shifts", 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.
three-shiftsCyclic shift execution engine. An agent skill from profbernardoj/everclaw-community-branches.
Three Shifts is an agent skill from profbernardoj/everclaw-community-branches. Cyclic shift execution engine. Plans tasks 3x daily (6 AM, 2 PM, 10 PM), decomposes them into granular steps, then executes via 15-minute cron cycles. Each cycle reads state files, picks the next step, executes it, writes results back. Errors are logged and skipped — never fatal. Planning uses Claude 4.6; execution uses GLM-5.
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/config.md`, `templates/context.md` and `templates/handoff.md`).
It sits in Productivity & Automation, covering Scheduled and recurring tasks. It works with Zhipu GLM. The repository describes itself as: Decentralized AI inference for OpenClaw agents. Powered by Morpheus AI. Stake MOR, access Kimi K2.5 + 10 models, never run out of inference. The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 0b30b36. 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:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, 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.
Three Shifts loads about 4.2k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 1,161 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 profbernardoj/everclaw-community-branches at commit 0b30b36, republished under its MIT licence (© profbernardoj). 1,161 words, ~4,178 tokens.
.claude/skills/three-shifts/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Architecture: Plan once → decompose → execute in 15-minute cycles → each cycle does ONE step → state persists in files between runs.
Why v2: V1 ran everything in one long session. One timeout killed the whole shift. V2 is a state machine — errors get logged, skipped, and retried. 32 cycles per shift, each learning from the last.
All state lives in workspace/shifts/:
shifts/
├── tasks.md # Current shift's step-by-step plan (the state machine)
├── context.md # Stack, constraints, known pitfalls, learned lessons
├── handoff.md # What the previous shift left behind
├── state.json # Machine-readable shift metadata
└── history/ # Archived completed shifts
└── YYYY-MM-DD-{shift}.md# Afternoon Shift — 2026-02-22
Approved by: user | Approved at: 2:15 PM CST
Shift window: 2:00 PM – 10:00 PM CST
Cycles remaining: ~30
## Task 1: API migration plan [P1]
- [x] Step 1.1: Read current proxy-router config and session economics — DONE (cycle 1)
- [ ] Step 1.2: Research mor-[REDACTED] paid tier pricing and limits
- [!] Step 1.3: Compare cost of paid tier vs local-only — BLOCKED: need pricing from step 1.2
- [ ] Step 1.4: Draft transition recommendation in memory/projects/example/
## Task 2: Commit workspace changes [P1]
- [ ] Step 2.1: Run git status, identify logical commit groups
- [ ] Step 2.2: Stage and commit new skills (three-shifts, relationships)
- [ ] Step 2.3: Stage and commit memory reorganization files
- [ ] Step 2.4: Stage and commit scripts and config changes
- [ ] Step 2.5: Push to remote
## Summary
Total steps: 9 | Done: 1 | Blocked: 1 | Remaining: 7
Last cycle: 2026-02-22 14:15 CST — completed step 1.1
Next target: Step 1.2Step markers:
[ ] — Not started (available for next cycle)[x] — Completed (with cycle number and brief result)[!] — Blocked (with reason — will be retried after dependencies clear)[~] — In progress (claimed by current cycle, prevents double-execution)[-] — Skipped (manually removed or deprioritized)# Shift Context — Living Document
## Stack & Environment
- macOS arm64, OpenClaw 2026.2.21-2
- Git repos: ~/.openclaw/workspace
- 1Password for secrets (never store raw keys)
- Primary messaging channel for user comms
## Constraints
- Never force push or delete branches
- trash > rm (recoverable beats gone)
- Space Brave searches by 2+ seconds (rate limit)
- MiniMax-M2.5: DO NOT USE (broken streaming)
- Llama 3.3 70B: DO NOT USE
## Known Pitfalls (learned from experience)
- API-specific gotchas go here
- Check messaging connectivity if deliveries fail
- Check provider billing cooldown policies
- Always check git status before committing — avoid partial commits
## Rules for This Shift
- Night shift: no external comms, no financial txns, no destructive ops
- If blocked on user input, skip and note in handoff
- Max 1 web search per cycle (Brave rate limit){
"shift": "afternoon",
"date": "2026-02-22",
"status": "executing",
"startedAt": "2026-02-22T20:00:00Z",
"approvedAt": "2026-02-22T20:15:00Z",
"approvedBy": "user",
"planModel": "your-heavy-model (e.g. Claude, GPT-4)",
"execModel": "your-light-model (e.g. GLM-5, GPT-4o-mini)",
"totalSteps": 9,
"completed": 1,
"blocked": 1,
"skipped": 0,
"cyclesRun": 1,
"lastCycleAt": "2026-02-22T20:15:00Z",
"nightAutoApproved": false,
"carryoverFromShift": null
}| Shift | Plan Cron | Cycle Crons | Window | Character |
|---|---|---|---|---|
| Morning | 6:00 AM | 6:15 AM – 1:45 PM (every 15 min) | 6 AM – 2 PM | Comms, decisions, user-facing |
| Afternoon | 2:00 PM | 2:15 PM – 9:45 PM (every 15 min) | 2 PM – 10 PM | Deep work, building, coding |
| Night | 10:00 PM | 10:15 PM – 5:45 AM (every 15 min) | 10 PM – 6 AM | Autonomous, research, maintenance |
Model: your-heavy-model (e.g. Claude, GPT-4) (heavy model for quality planning)
When the planning cron fires:
Read these sources:
shifts/handoff.md — what last shift left behindshifts/context.md — rules, constraints, pitfallsshifts/state.json — previous shift statsmemory/daily/YYYY-MM-DD.md — today's activityMEMORY.md — active projects, priorities, deadlinesIf shifts/tasks.md has incomplete [ ] or [!] steps from a previous shift:
[carryover] in the new planPresent to user in this format:
☀️/🌤️/🌙 [SHIFT] SHIFT PLAN
Date: [DATE] | Window: [START]–[END] [TZ]
Exec model: GLM-5 | Cycles: ~32
P1 (Must do):
1. [Task] — [Est. time] — [Why now]
2. ...
P2 (Should do):
3. ...
P3 (Could do):
5. ...
Blocked/Waiting:
- [Item] — [Blocker]
Carryover from last shift:
- [Item] — [Status]
Reply: "Approve" / "Approve all" / "Approve 1,3" / "Add: [task]" / "Skip"This is the critical v2 step. After approval, before any execution begins:
shifts/tasks.mdshifts/state.jsonDecomposition guidelines for GLM-5:
git status in your project dir" not "check the repo")If it's 10 PM and:
shifts/tasks.md has incomplete steps from today's morning or afternoon shiftsThen:
"nightAutoApproved": true to state.jsonWhen the user responds to a shift plan:
"Approve" / "Approve all":
shifts/state.json — confirm status is awaiting_approvalstatus to "executing", approvedAt to current ISO timestamp, approvedBy to the user's name`"Add: [task]":
shifts/tasks.mdtotalSteps in state.json"executing")"Skip":
status to "cancelled" in state.jsonshifts/handoff.md that the shift was skippedNo response after 30 minutes (morning/afternoon):
awaiting_approval)Model: your-light-model (e.g. GLM-5, GPT-4o-mini) (light model, cost-efficient)
Each cycle is an isolated session — no memory of previous cycles except what's in the files.
1. READ shifts/state.json
→ If status is "completed", "cancelled", "idle", or "awaiting_approval": reply HEARTBEAT_OK (no-op)
→ If status is "executing": continue
2. READ shifts/tasks.md
→ Find first step marked [ ] (not started)
→ If none found, check for [!] (blocked) steps — retry if dependency cleared
→ If all steps are [x], [-], or still [!]: shift is DONE → go to Handoff
3. READ shifts/context.md
→ Load rules, constraints, pitfalls
4. CHECK FOR STALE CLAIMS
→ If any step is marked [~] (claimed by a previous cycle that crashed/timed out):
- Change it back to [ ] — the previous cycle didn't finish
- This step becomes the next available step to claim
5. CLAIM the step
→ Mark it [~] (in progress) in tasks.md
→ Write current timestamp to state.json
6. EXECUTE the step
→ Do the work (one focused action)
→ Stay within the step's scope — do NOT drift to other tasks
7. WRITE RESULTS back to tasks.md
→ Success: [x] Step N.N: description — DONE (cycle X): brief result
→ Blocked: [!] Step N.N: description — BLOCKED (cycle X): reason why
→ If blocked, check if next [ ] step has no dependency on this one → continue to it
8. UPDATE state.json
→ Increment cyclesRun, update completed/blocked counts, lastCycleAt
9. UPDATE shifts/context.md (if learned something new)
→ New pitfall discovered? Add it.
→ Found a useful command? Note it.
→ This is how cycles teach future cycles.
10. IF time permits in this cycle, take the NEXT available [ ] step
→ But only if the current step took <5 minutes
→ Never take more than 2 steps per cycleWhen a step is blocked:
[!] with a clear reason[ ] stepIf a [!] step has been blocked for 3+ cycles:
[-] (skipped) and note in handoff for user reviewWhen all steps are [x], [-], or [!], OR when the shift window expires:
Archive the shift:
shifts/tasks.md → shifts/history/YYYY-MM-DD-{shift}.mdWrite handoff.md:
# Handoff: Afternoon → Night | 2026-02-22
## Completed
- Task 1: API migration plan — recommendation written to memory/projects/example/
- Task 2 steps 1-3: Workspace commits (skills, memory reorg)
## Still In Progress
- Task 2 steps 4-5: Script commits and push (2 steps remaining)
## Blocked (needs user)
- Task 1 step 3: Need pricing confirmation for mor-[REDACTED] paid tier
## Lessons Learned This Shift
- GLM-5 handles git operations well but struggles with multi-file diffs
- Brave search rate limit hit on cycle 4 — added 3-second delay to context.md
## Recommendations for Next Shift
- Finish Task 2 push (quick, 1 cycle)
- Review migration recommendation in memory/projects/example/transition.mdUpdate state.json: Set status to "completed"
Update daily log: Append shift summary to memory/daily/YYYY-MM-DD.md
Notify user (morning/afternoon only): Brief summary via messaging channel
Name: three-shifts-plan-morning
Schedule: cron 0 6 * * * (America/Chicago)
Model: your-heavy-model (e.g. Claude, GPT-4)
Session: isolated
Message: >
Read the three-shifts skill at skills/three-shifts/SKILL.md.
Execute Phase 1 (Planning) for the MORNING shift (6 AM – 2 PM CST).
Read shifts/handoff.md, shifts/context.md, shifts/state.json, and recent memory files.
Generate the shift plan and present for user approval.
If carryover items exist from last night that were already approved, note them.
After approval, decompose all tasks into atomic GLM-5-sized steps and write to shifts/tasks.md.
Name: three-shifts-plan-afternoon
Schedule: cron 0 14 * * * (America/Chicago)
Model: your-heavy-model (e.g. Claude, GPT-4)
Session: isolated
Message: >
Read the three-shifts skill at skills/three-shifts/SKILL.md.
Execute Phase 1 (Planning) for the AFTERNOON shift (2 PM – 10 PM CST).
Read shifts/handoff.md, shifts/context.md, shifts/state.json, and recent memory files.
Generate the shift plan and present for user approval.
After approval, decompose all tasks into atomic GLM-5-sized steps and write to shifts/tasks.md.
Name: three-shifts-plan-night
Schedule: cron 0 22 * * * (America/Chicago)
Model: your-heavy-model (e.g. Claude, GPT-4)
Session: isolated
Message: >
Read the three-shifts skill at skills/three-shifts/SKILL.md.
Execute Phase 1 (Planning) for the NIGHT shift (10 PM – 6 AM CST).
Read shifts/handoff.md, shifts/context.md, shifts/state.json, and recent memory files.
IMPORTANT: If shifts/tasks.md has carryover items already approved today, auto-approve them
and set state.json nightAutoApproved=true. Do NOT ping the user for already-approved carryover.
Only present new tasks for approval.
After approval (or auto-approve), decompose into atomic steps and write to shifts/tasks.md.Name: three-shifts-cycle
Schedule: cron */15 * * * * (America/Chicago)
Model: your-light-model (e.g. GLM-5, GPT-4o-mini)
Session: isolated
Message: >
You are a cycle executor for the three-shifts system.
Read skills/three-shifts/SKILL.md Phase 2 (Cycle Execution) for your algorithm.
Then read shifts/state.json — if status is not "executing", reply HEARTBEAT_OK.
If executing: read shifts/tasks.md and shifts/context.md.
Find the first [ ] step, claim it [~], execute it, write result back.
If blocked, mark [!] with reason, move to next [ ] step.
Update state.json and context.md as needed.
Stay focused. One step. Write results. Done.See references/config.md for:
[!] NEEDS_REVIEW instead of executing© profbernardoj, MIT. 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 5 other files (references) in three-shifts of profbernardoj/everclaw-community-branches.
Open the folder on GitHubat commit 0b30b36
Three Shifts 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 |
|---|---|---|---|---|---|---|
| Three Shifts this skillprofbernardoj/everclaw-community-branches | 112 | — | ~4.2k | Automated safety check: Pass | MIT | |
| Gh Issuestrpc-group/trpc-agent-go | 1.9k | 8 repos | ~8.7k | Automated safety check: Pass | Apache-2.0 | |
| Cron Opsczl9707/build-your-own-openclaw | 1.9k | — | ~593 | Automated safety check: Pass | MIT | |
| Wp Wpcli And OpsAutomattic/agent-skills | 211 | 2 repos | ~988 | Automated safety check: Pass | None | |
| Web Searchjjyaoao/HelloAgents | 3.2k | 1 repos | ~5.6k | Automated safety check: Pass | MIT | |
| Superset Automatesuperset-sh/superset | 15k | — | ~1.4k | Automated safety check: Pass | Custom licence |
trpc-group/trpc-agent-go
Fetch GitHub issues, spawn sub-agents to implement fixes and open PRs, then monitor and address PR review comments.
czl9707/build-your-own-openclaw
Create, list, and delete scheduled cron jobs. An agent skill from czl9707/build-your-own-openclaw.
Automattic/agent-skills
A skill your agent uses when working with WP-CLI (wp) for WordPress operations: safe search-replace, db export/import, plugin/theme/user/content management, cron, cache flushing, multisite, and…
jjyaoao/HelloAgents
Implement web search capabilities using the z-ai-web-dev-sdk.
superset-sh/superset
Turns a recurring chore into a scheduled or event-triggered Superset agent, drafting its prompt, picking a target and trigger, and reviewing the first run.
mgonto/executive-assistant-skills
Extract action items from today's Granola/Grain meetings, create Todoist tasks, complete fulfilled tasks, and draft meeting-triggered follow-up emails.
profbernardoj/everclaw-community-branches
Diagnose and fix broken memory search in OpenClaw. An agent skill from profbernardoj/everclaw-community-branches.
profbernardoj/everclaw-community-branches
Relationship CRM for tracking people, connections, and context.
profbernardoj/everclaw-community-branches
XMTP real-time agent-to-agent and user-to-agent encrypted messaging daemon for EverClaw.
profbernardoj/everclaw-community-branches
Secure key management for AI agents. An agent skill from profbernardoj/everclaw-community-branches.
profbernardoj/everclaw-community-branches
Automated overnight task planning and execution engine for EverClaw.
profbernardoj/everclaw-community-branches
Personally identifiable information (PII) leak prevention for EverClaw.
Works with
Categories
Cyclic shift execution engine. An agent skill from profbernardoj/everclaw-community-branches. Three Shifts is an agent skill from profbernardoj/everclaw-community-branches. Cyclic shift execution engine.
Three Shifts fits situations like: tasks that involve Scheduled and recurring tasks.
Run `npx skills add profbernardoj/everclaw-community-branches --skill three-shifts -a claude-code`. Or copy the skill folder (three-shifts in profbernardoj/everclaw-community-branches) into .claude/skills/three-shifts in your project. Claude Code loads it when a task matches its description.
Run `npx skills add profbernardoj/everclaw-community-branches --skill three-shifts -a codex`. Or copy the skill folder (three-shifts in profbernardoj/everclaw-community-branches) into .agents/skills/three-shifts 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 profbernardoj/everclaw-community-branches --skill three-shifts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/three-shifts, .gemini/skills/three-shifts, .github/skills/three-shifts and .opencode/skills/three-shifts in your project.
Going by SKILL.md and its folder, Three Shifts needs the command-line tools its instructions call (git).
SKILL.md contains no URLs. Its commands use git, 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.
Three Shifts is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 719 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Three Shifts: Gh Issues (trpc-group/trpc-agent-go, 1.9k stars), Cron Ops (czl9707/build-your-own-openclaw, 1.9k stars), Wp Wpcli And Ops (Automattic/agent-skills, 211 stars) and Web Search (jjyaoao/HelloAgents, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
profbernardoj (a GitHub user) maintains it in profbernardoj/everclaw-community-branches, which has 112 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 2, 2026.
Source: profbernardoj/everclaw-community-branches on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.