done
Skill26 starsChanged 9 months agoMITView on GitHub
Task completion workflow — run tests, commit, push, and update MASTER_PLAN.md. Use when a task is finished and ready to ship. Triggers on "/done", "mark done", "task complete", "finish task", "ship it".
- Reads credentials
- Commits and pushes
37 other projects use a version of this.
Adopted by
Most recently taken up by
- spongetimblin/claude-skill-librarytheir own version, first seen Nov 8, 2026
- vtmocanu/skillstheir own version, first seen Nov 7, 2026
- Melvynx/ai-maxxing-skillstheir own version, first seen Nov 1, 2026
- duthaho/skillhubtheir own version, first seen Oct 31, 2026
- bholmesdev/skillstheir own version, first seen Oct 18, 2026
- cyrilichti/agent-workflowstheir own version, first seen Oct 17, 2026
Used with
Projects with it also use simplify, work and 4 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Hugging FaceSkillsimplify
Refactor code after tests pass. The "Refactor" phase of Red-Green-Refactor.
Also in 5 projects that use this
vbrevikSkillwork
Use when the user says 'plan', 'todo', 'copy plan', 'append plan', 'resume plan', 'priorities', or 'what's next'.
Also in 3 projects that use this
OpenAISkilltranscribe
Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in interviews or meetings.
Also in 3 projects that use this
MicrosoftSkillhandoff
Compact the current conversation into a handoff document for another agent to pick up.
Also in 9 projects that use this
genomewalkerSkilllearn
Learn from web sources, generate SKILL.md, and store key patterns in soul memory. Trigger keywords: learn, skill-gen, web-learn, documentation, tutorial.
Also in 3 projects that use this
GoogleSkillgrill-me
A relentless interview to sharpen a plan or design.
Also in 4 projects that use this
Other versions37 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 37
- bholmesdev/hubble.md★ 1.5ksame name
- bholmesdev/skills★ 179same name
- Melvynx/ai-maxxing-skills★ 32same name
- fredoliveira/agents★ 24same name
- oldwinter/skills★ 11same name
- duthaho/skillhub★ 9same name
- Trejon-888/ix-claude-code-starter-kit★ 9same name
- HaipingShi/coderail★ 8same name
- ohm41321/luciazero★ 6same name
- ManceRayder42/jarvis-os★ 5same name
27 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 5 are distinctive, and 5 are very specific to this project.
0
Common
Most of the 33 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 19
Run git status to see what files were modified:
- Very specific: line 34
Use AskUserQuestion to collect:
- Distinctive: line 44
IMPORTANT: Wait for user to provide the summary before proceeding.
- Very specific: line 49
If package.json exists → npm test
- Very specific: line 51
If pyproject.toml or setup.py exists → pytest
- Very specific: line 52
If Makefile with test target → make test
- Distinctive: line 55
If tests fail: STOP immediately. Report failures.
- Distinctive: line 99
Search for the task ID and confirm all occurrences show strikethrough or ✅ DONE:
- Distinctive: line 113
Prefer staging specific files by name over git add -A.
- Very specific: line 173
Verify with grep: after updating MASTER_PLAN.md
“Common” is measured: kept by at least 6 in 10 of the 33 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Task Completion Workflow
Finalize a completed task: verify tests pass, commit changes, update MASTER_PLAN.md, and push.
Triggers
/master-plan:done- Main command- "mark done", "task complete", "finish task", "ship it"
Workflow
Step 1: Check What Changed
Run git status to see what files were modified:
git status
git diff --statOutput immediately:
Files changed:
- [list of modified files]Step 2: Get Task Information
Use AskUserQuestion to collect:
- Task ID (header: "Task ID")
- Options: "Tracked task (enter ID)" or "Quick fix (no task ID)"
- Run tests? (header: "Tests")
- Options: "Yes — run test suite (Recommended)" or "Skip tests"
Then ask in plain text: "What's a brief summary of the changes? (1-2 sentences)"
IMPORTANT: Wait for user to provide the summary before proceeding.
Step 3: Run Tests (unless skipped)
Detect and run the project's test command. Check in order:
- If
package.jsonexists →npm test - If
Cargo.tomlexists →cargo test - If
pyproject.tomlorsetup.pyexists →pytest - If
Makefilewithtesttarget →make test - If
go.modexists →go test ./...
If tests fail: STOP immediately. Report failures. Do NOT proceed. If tests pass: Continue. If no test command found: Warn user and continue.
Step 4: Update MASTER_PLAN.md (if tracked task)
Skip this step if user selected "Quick fix (no task ID)".
CRITICAL: Tasks may appear in multiple locations. Update ALL of them:
4a. Summary/Roadmap Table
Find the task row and update:
# Before:
| **TASK-XXX** | **Title** | **P2** | PLANNED | ... |
# After:
| ~~**TASK-XXX**~~ | ✅ **Title** | **P2** | ✅ DONE (YYYY-MM-DD) | ... |4b. Subtask/Bullet Lists
# Before:
- TASK-XXX: Description
# After:
- ~~TASK-XXX~~: ✅ Description4c. Detailed Section Header
# Before:
### TASK-XXX: Title (IN PROGRESS)
# After:
### ~~TASK-XXX~~: Title (✅ DONE)4d. Verify All Updated
Search for the task ID and confirm all occurrences show strikethrough or ✅ DONE:
grep "TASK-XXX" docs/MASTER_PLAN.mdStep 5: Commit and Push
Stage all relevant files. NEVER commit:
.env*filescredentials*.jsonor files containing secretsnode_modules/,__pycache__/,target/,.venv/- Backup files, generated stats, lock files (unless intentional)
Prefer staging specific files by name over git add -A.
# Stage code files
git add <changed-files>
git add docs/MASTER_PLAN.md # if tracked task
# Commit
git commit -m "$(cat <<'EOF'
feat(TASK-XXX): Brief summary from user
- Key change 1
- Key change 2
Co-Authored-By: Claude <noreply@anthropic.com>
EOF
)"
# Push
git pushFor quick fixes (no task ID):
git commit -m "$(cat <<'EOF'
fix: Brief summary from user
Co-Authored-By: Claude <noreply@anthropic.com>
EOF
)"
git pushCommit prefix conventions:
feat(TASK-XXX):— New featurefix(BUG-XXX):— Bug fixchore(TASK-XXX):— Maintenancerefactor(TASK-XXX):— Code refactoringdocs(TASK-XXX):— Documentation only
Step 6: Report Completion
Output this summary:
## Task Complete
- **Task**: TASK-XXX (or "Quick fix")
- **Summary**: [user's summary]
- **Tests**: ✅ Passed (or ⏭️ Skipped)
- **Commit**: [short hash] — [message]
- **Push**: ✅ Pushed to origin
- **MASTER_PLAN.md**: Updated / N/AImportant Rules
- NEVER skip commit/push — Changes must be pushed to the remote
- ALWAYS collect summary — Don't proceed without knowing what changed
- Update ALL locations in MASTER_PLAN.md for tracked tasks
- Verify with grep after updating MASTER_PLAN.md
- Wait for user input — Don't assume or skip questions
- Test failures block completion — If tests fail, stop and report
Files to NEVER Commit
.env*files (secrets)credentials*.json- Private keys, tokens
- Generated/cached files (
node_modules/,dist/,__pycache__/) - OS files (
.DS_Store,Thumbs.db)
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

