CCPM Project Management
automazeio/ccpm
Runs a spec-driven workflow from PRD to epic to GitHub issues to parallel agents, with status, standup and blocked-work reports from bundled scripts.
Set criteria-based return-to-activity milestones so the decision rests on what the patient can demonstrate rather than on how long it has been — the test battery, the thresholds, the graded…
Install Return To Activity Criteria
$ npx skills add mohitagw15856/pm-claude-skills --skill return-to-activity-criteria -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills return-to-activity-criteria --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/return-to-activity-criteria .claude/skills/return-to-activity-criteria && 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 "return-to-activity-criteria" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/return-to-activity-criteria into .claude/skills/return-to-activity-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "return-to-activity-criteria", 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/mohitagw15856/pm-claude-skills/tree/main/skills/return-to-activity-criteriaType 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 mohitagw15856/pm-claude-skills --skill return-to-activity-criteria -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills return-to-activity-criteria --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/return-to-activity-criteria .agents/skills/return-to-activity-criteria && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "return-to-activity-criteria" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/return-to-activity-criteria into .agents/skills/return-to-activity-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "return-to-activity-criteria", 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 mohitagw15856/pm-claude-skills --skill return-to-activity-criteria -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills return-to-activity-criteria --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/return-to-activity-criteria .cursor/skills/return-to-activity-criteria && 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 "return-to-activity-criteria" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/return-to-activity-criteria into .cursor/skills/return-to-activity-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "return-to-activity-criteria", 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/mohitagw15856/pm-claude-skills.git --path skills/return-to-activity-criteria--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 mohitagw15856/pm-claude-skills --skill return-to-activity-criteria -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills return-to-activity-criteria --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/return-to-activity-criteria .gemini/skills/return-to-activity-criteria && 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 "return-to-activity-criteria" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/return-to-activity-criteria into .gemini/skills/return-to-activity-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "return-to-activity-criteria", 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 mohitagw15856/pm-claude-skills return-to-activity-criteriaInstalls 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 mohitagw15856/pm-claude-skills --skill return-to-activity-criteria -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/return-to-activity-criteria .github/skills/return-to-activity-criteria && 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 "return-to-activity-criteria" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/return-to-activity-criteria into .github/skills/return-to-activity-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "return-to-activity-criteria", 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 mohitagw15856/pm-claude-skills --skill return-to-activity-criteria -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills return-to-activity-criteria --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/return-to-activity-criteria .opencode/skills/return-to-activity-criteria && 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 "return-to-activity-criteria" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/return-to-activity-criteria into .opencode/skills/return-to-activity-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "return-to-activity-criteria", 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.
Facts
- Skill name
return-to-activity-criteria- GitHub stars
- 1.4k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 822 words
- Files
- 2 (incl. references)
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Set criteria-based return-to-activity milestones so the decision rests on what the patient can demonstrate rather than on how long it has been — the test battery, the thresholds, the graded…
- Works in 7 steps: Define the demand precisely. 'Return to… → Set thresholds before the decision is… → Test under representative load and… → …
- Asked to plan a return to sport
- SKILL.md covers What This Skill Produces, Required Inputs, Framework: Criteria Set in… and Deeper Material, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Return To Activity Criteria is an agent skill from mohitagw15856/pm-claude-skills. Set criteria-based return-to-activity milestones so the decision rests on what the patient can demonstrate rather than on how long it has been — the test battery, the thresholds, the graded reintroduction, and the honest conversation about residual risk. Use when asked to plan a return to sport or work, set return-to-play criteria, decide whether someone is ready to return, or handle pressure to clear someone early. Produces the criteria by stage, the test battery with thresholds, the graded exposure plan, the…
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/worked-example.md`).
It sits in Product & Project Management, covering Project management. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked to plan a return to sport
- Set return-to-play criteria
- Decide whether someone is ready to return
- Handle pressure to clear someone early
Example prompts
- “/return-to-activity-criteria”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Define the demand precisely. 'Return to work' means nothing; 'lifting 20 kg from floor to waist, forty times a shift' is testable. Test…
- Set thresholds before the decision is live. Criteria written under pressure bend. Written at week two, they hold at week twelve.
- Test under representative load and fatigue. Capacity when fresh tells you little about the fortieth lift or the eightieth minute.
- Use symmetry and capacity together. Symmetry alone can be achieved by both sides being poor.
- Grade the reintroduction. Full demand on day one is where re-injury concentrates. Stage it, and define what triggers a step back.
- Be honest about residual risk. Meeting criteria reduces risk; it does not remove it. The patient is entitled to know that before deciding.
- Record the decision and its basis. Who decided, on what evidence, what was explained, and what the patient chose — particularly where the…
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Return To Activity Criteria loads about 1.7k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 175 tokens; SKILL.md has 822 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 822 words, ~1,676 tokens.
Download SKILL.mdSave it as
.claude/skills/return-to-activity-criteria/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- return-to-activity-criteria
- description
- Set criteria-based return-to-activity milestones so the decision rests on what the patient can demonstrate rather than on how long it has been — the test battery, the thresholds, the graded reintroduction, and the honest conversation about residual risk. Use when asked to plan a return to sport or work, set return-to-play criteria, decide whether someone is ready to return, or handle pressure to clear someone early. Produces the criteria by stage, the test battery with thresholds, the graded exposure plan, the residual-risk discussion, and the decision record. The clearance decision is the treating clinician's, made with the patient and the relevant medical team.
Return-to-Activity Criteria
Time-based clearance is popular because it is easy and defensible-sounding, and it is neither safe nor accurate. Criteria-based return asks a different question: what must this person demonstrate before this exposure is reasonable? This builds that battery, sets thresholds in advance — before anyone is under pressure — and stages the return so the first day back is not the full demand.
What This Skill Produces
- Criteria by stage — what must be demonstrated to progress from each stage to the next
- The test battery with thresholds — specific tests, with pass criteria set in advance
- The graded exposure plan — how demand is reintroduced, in what increments, over what period
- The residual-risk conversation — what remains uncertain even when criteria are met, communicated honestly
- The decision record — who decided, on what evidence, with what the patient understood
- The monitoring plan — what is watched after return, and what would pause it
Required Inputs
Ask for these if not provided:
- The injury or condition — what happened, what was done, and the tissue-healing or condition constraints
- The activity being returned to — its actual physical demands, not the label
- Current status — objective measures, symmetry, capacity, and symptom behaviour under load
- The pressures — a season, a job, a deadline, or a patient's own impatience, named openly
- The team — the surgeon, physician, coach or employer involved, and who holds the clearance decision
Framework: Criteria Set in Advance, Demonstrated Under Load, Reintroduced Gradually
- Define the demand precisely. 'Return to work' means nothing; 'lifting 20 kg from floor to waist, forty times a shift' is testable. Test against the real demand.
- Set thresholds before the decision is live. Criteria written under pressure bend. Written at week two, they hold at week twelve.
- Test under representative load and fatigue. Capacity when fresh tells you little about the fortieth lift or the eightieth minute.
- Use symmetry and capacity together. Symmetry alone can be achieved by both sides being poor.
- Grade the reintroduction. Full demand on day one is where re-injury concentrates. Stage it, and define what triggers a step back.
- Be honest about residual risk. Meeting criteria reduces risk; it does not remove it. The patient is entitled to know that before deciding.
- Record the decision and its basis. Who decided, on what evidence, what was explained, and what the patient chose — particularly where the patient elects to return early against advice.
Deeper Material
references/worked-example.md— an ACL return three weeks before a play-off, declined against criteria written 24 weeks earlier. Read it when the shape of a good output is unclear, or to calibrate how specific the entries should be.
Output Format
Show full SKILL.md (386 more words)Show less
Return-to-activity plan: [patient] · [injury/condition] · [target activity] · [date]
Target demand: [the specific physical demands of the activity, quantified] Constraints: [tissue healing, surgical protocol, medical restrictions — and who set them] Pressures: [named openly — season, employment, deadline, patient impatience]
Stages
| Stage | Activity permitted | Criteria to progress | Tested how |
|---|---|---|---|
| 1 | |||
| 2 | |||
| 3 | |||
| Return |
Test battery
| Test | Threshold | Under fatigue? | Result | Date | Pass |
|---|
Graded reintroduction
| Week | Volume | Intensity | Contact/load | Step back if |
|---|
Residual risk discussed: [what remains uncertain, what the evidence does and does not support, what would raise risk] · Patient's understanding: [recorded]
Decision: [cleared / not cleared / cleared with restrictions] · By: [who holds this decision] · Evidence relied on: [which criteria met] · Not met: [any, and the reasoning for proceeding]
Monitoring after return: [what is watched · by whom · what pauses the return]
The clearance decision belongs to the treating clinician, made with the patient and the relevant medical team, against the constraints set by the treating surgeon or physician. This structures the reasoning and the record; it sets no threshold, clears no individual, and replaces no clinical judgement or governing-body protocol.
Quality Checks
- The target demand is quantified, not named
- Thresholds were set before the decision became live
- Testing includes performance under fatigue and representative load
- Symmetry is assessed alongside absolute capacity
- Return is graded, with explicit step-back triggers
- Residual risk was discussed and the patient's understanding recorded
- The decision, its evidence, and any unmet criteria are documented
- The clearance decision sits with the clinician who holds it
Anti-Patterns
- Time-based clearance. Weeks since surgery say nothing about capacity.
- Testing fresh only. Re-injury happens tired, and so should testing.
- Symmetry as the sole criterion. Both sides can be equally deconditioned.
- Setting criteria during the decision. They bend to the pressure in the room.
- Full demand on day one. The single highest-risk moment in the whole process.
- Skipping the risk conversation. The patient cannot consent to a risk nobody described.
- No record of who decided. Matters enormously if something goes wrong.
- Letting the pressure hold the decision. Name it, and keep the decision where it belongs.
Example Trigger Phrases
- "Set return to sport criteria after ACL reconstruction"
- "Is this patient ready to go back to work?"
- "The coach wants them back this week — how do I handle that?"
- "Design a graded return to running programme"
- "What should I test before clearing someone to return?"
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/return-to-activity-criteria of mohitagw15856/pm-claude-skills.
- SKILL.md
- references/worked-example.md
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Return To Activity Criteria 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 |
|---|---|---|---|---|---|---|
| Return To Activity Criteria this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.7k | Automated safety check: Pass | MIT | |
| CCPM Project Managementautomazeio/ccpm | 8.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Uvastral-sh/claude-code-plugins | 313 | 2 repos | ~980 | Automated safety check: Pass | Apache-2.0 | |
| Project Managementkunchenguid/firstmate | 7.8k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Hivemind Goalsactiveloopai/hivemind | 1.6k | — | ~1.7k | Automated safety check: Notes | Apache-2.0 | |
| Ichartjswanghetommy/ichartjs | 352 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Return To Activity Criteria
What does Return To Activity Criteria do?
Set criteria-based return-to-activity milestones so the decision rests on what the patient can demonstrate rather than on how long it has been — the test battery, the thresholds, the graded…. Return To Activity Criteria is an agent skill from mohitagw15856/pm-claude-skills. Set criteria-based return-to-activity milestones so the decision rests on what the patient can demonstrate rather than on how long it has been — the test battery, the thresholds, the graded reintroduction, and the honest conversation about residual risk.
When should I use Return To Activity Criteria?
Return To Activity Criteria fits situations like: asked to plan a return to sport; set return-to-play criteria; decide whether someone is ready to return; handle pressure to clear someone early.
How do I install Return To Activity Criteria in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill return-to-activity-criteria -a claude-code`. Or copy the skill folder (skills/return-to-activity-criteria in mohitagw15856/pm-claude-skills) into .claude/skills/return-to-activity-criteria in your project. Claude Code loads it when a task matches its description.
How do I install Return To Activity Criteria in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill return-to-activity-criteria -a codex`. Or copy the skill folder (skills/return-to-activity-criteria in mohitagw15856/pm-claude-skills) into .agents/skills/return-to-activity-criteria in your project. Codex loads it when a task matches its description.
Can I use Return To Activity Criteria in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill return-to-activity-criteria -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/return-to-activity-criteria, .gemini/skills/return-to-activity-criteria, .github/skills/return-to-activity-criteria and .opencode/skills/return-to-activity-criteria in your project.
What does Return To Activity Criteria need to run?
SKILL.md names no scripts, command-line tools or credentials: Return To Activity Criteria is instructions for the agent only.
Does Return To Activity Criteria access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Return To Activity Criteria safe to install?
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.
What licence does Return To Activity Criteria use?
Return To Activity Criteria is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Return To Activity Criteria use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 1.2k tokens, read only when the agent opens those files.
What are the alternatives to Return To Activity Criteria?
Skills that share tags, products or a category with Return To Activity Criteria: CCPM Project Management (automazeio/ccpm, 8.4k stars), Uv (astral-sh/claude-code-plugins, 313 stars), Project Management (kunchenguid/firstmate, 7.8k stars) and Hivemind Goals (activeloopai/hivemind, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Return To Activity Criteria?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.