commit
Skill3 starsChanged 4 months agoMITView on GitHub
Scan the session for compound-worthy learnings, then commit the working tree with a repo-appropriate, value-communicating message.
- Reads credentials
188 other projects use a version of this.
Adopted by
Most recently taken up by
- daledesilva/obsidian_inktheir own version, first seen Nov 9, 2026
- thoughtbot/rails-consultanttheir own version, first seen Nov 8, 2026
- pedrohcgs/claude-code-my-workflowtheir own version, first seen Nov 8, 2026
- jisuzzzz/haechitheir own version, first seen Nov 8, 2026
- dirien/yet-another-agent-harnesstheir own version, first seen Nov 8, 2026
- denysdovhan/skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use validate-plan, act-on-feedback and 10 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.
shawn-dumasSkillvalidate-plan
Validate an orchestration plan after pre-flight certification. Runs adversarial review, deep review (verify prompt data against codebase), and PoC gate for risky approaches. Auto-invoked by orchestrate-* skills at Step 8.
Also in 5 projects that use this
MicrosoftSkillact-on-feedback
Act on user feedback attached to the current session. Use when the user submits feedback on the session's changes via the Submit Feedback button.
Also in 3 projects that use this
decocmsSkilladd-mcp-tools
Guide for adding new MCP tools with consistent patterns for schemas, tool definitions, registry updates, and Better Auth integration
Also in 3 projects that use this
MicrosoftSkillgenerate-run-commands
Generate or modify run commands for the current session. Use when the user wants to set up or update run commands that appear in the session's Run button.
Also in 3 projects that use this
mitsuhikoSkilloebb-scotty
Austrian rail travel planner (ÖBB Scotty). Use when planning train journeys in Austria, checking departures/arrivals at stations, or looking for service disruptions. Covers ÖBB trains, S-Bahn, regional trains, and connections to neighboring countries.
Also in 3 projects that use this
mitsuhikoSkillpi-share
Load and parse session transcripts from shittycodingagent.ai/buildwithpi.ai/buildwithpi.com/pi.dev (pi-share) URLs. Fetches gists, decodes embedded session data, and extracts conversation history.
Also in 3 projects that use this
Other versions188 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 188
- microsoft/vscode★ 195ksame name
- TryGhost/Ghost★ 56ksame name
- ToolJet/ToolJet★ 41ksame name
- ShareX/ShareX★ 41ksame name
- openai/symphony★ 27ksame name
- ccusage/ccusage★ 19ksame name
- ryoppippi/ccusage★ 19ksame name
- windmill-labs/windmill★ 18ksame name
- EverMind-AI/EverMemOS★ 14ksame name
- EverMind-AI/EverOS★ 14ksame name
178 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.
In this repository26 other files it gives its agents.
- AGENTS.mdAGENTS.md
- mod/CLAUDE.mdCLAUDE.md
- sync-upstreamSkill
- afkSkill
- codebase-designSkill
- compound-refreshSkill
- compoundSkill
- deputySkill
- diagnosing-bugsSkill
- grillingSkill
- handoffSkill
- implementSkill
- improve-codebase-architectureSkill
- prototypeSkill
- questionnaireSkill
- researchSkill
- review-gateSkill
- setup-cantrips-loopSkill
- setup-git-guardrailsSkill
- simplifySkill
- specSkill
- tddSkill
- teachSkill
- ticketsSkill
- wait-whatSkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 6 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 168 edited versions we read keep these.
6
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 34
If unset, fall back to main.
- Distinctive: line 36
Treat this as a snapshot. Re-read branch and staged set immediately before committing if anything may have changed.
- Distinctive: line 63
Write it plain and self-contained: direct declarative sentences a stranger can skim years later, each claim one that stays true about the …
- Distinctive: line 71
Keep it lightweight: group at the file level only (no hunk splitting), split only when the separation is obvious, and stay at two or three …
- Distinctive: line 74
Write the full message — subject line, blank line, optional body — to a file outside the repo with your file-write tool, then stage and …
- Distinctive: line 91
Verify with git status and report the commit hash(es) and subject line(s).
“Common” is measured: kept by at least 6 in 10 of the 168 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
Close the loop: harvest the session's learnings first, then create well-crafted git commits from the working tree — learning writes included, so the tree is clean when the loop ends.
Step 1: Scan for compound candidates
Scan the whole session for candidate learnings: root causes uncovered, gotchas hit, approaches that failed, conventions or preferences decided along the way — plus anything /review-gate flagged as compound material.
Judge each against compound's quality bar — would it change a future agent's behavior in a different session, and is it non-obvious and stable? Session-specific trivia dies here.
- Any candidate might clear the bar → invoke
/compoundwith the candidates; it routes each to a destination and gates every write. Once the approved writes land, present their diff and wait for the user's verdict on the wording — approve, edit, or drop each document — since the destination gate cleared a one-line proposal, not the prose itself. Where this session engaged a deputy through/deputyand has not dismissed it, what is put to the user here goes to the deputy instead, as ROUNDS.md says, and the deputy's reply is printed verbatim under a one-line header before anything acts on it; otherwise it goes to the user as written. Writes that survive ride into the commits below. - None → say so in one line and move on.
Step 2: Gather context
Gather context with each command as its own shell tool call (program + args only). Do not join with ;, &&, ||, pipes, $(...), or redirects — that syntax fails under Windows PowerShell. A non-zero exit is a normal state to interpret, not a failure to suppress.
git status— working-tree state. Clean tree → report there is nothing to commit and stop.git diff HEAD— the uncommitted changes.git branch --show-current— empty output means detached HEAD.git log --oneline -10— recent commit style.git rev-parse --abbrev-ref origin/HEAD— the default branch (strip theorigin/prefix). If unset, fall back tomain.
Treat this as a snapshot. Re-read branch and staged set immediately before committing if anything may have changed.
Step 3: Choose the branch
Detached HEAD → cut a feature branch before committing, and do not ask — even where the user asked only for a commit, since a commit reachable from nothing is lost as soon as HEAD moves. On the default branch, follow the repo's workflow instead: where the documented conventions or recent history show feature branches (or the user asked for one), branch off it before committing. Where the history shows commits landing directly on it (trunk-based), commit where you are. On any other branch, commit where you are unless the user asked for a new one.
Whenever this step cuts a branch: derive the name from the change content, git checkout -b <branch-name>, then confirm with git branch --show-current.
Step 4: Determine the message convention
In priority order:
- Documented repo conventions already in context (AGENTS.md, CLAUDE.md, or similar).
- Recent commit history — if the last 10 commits show a clear pattern (conventional commits, ticket prefixes, emoji prefixes), match it.
- Default: conventional commits —
type(scope): description, type one offeat,fix,docs,refactor,test,chore,perf,ci,style,build. Wherefix:andfeat:both fit, preferfix:— a change that remedies broken or missing behavior is a fix even when implemented by adding code; reservefeat:for capabilities the user could not previously accomplish.
Message discipline, whatever the convention:
- Subject: the whole line at most 100 characters, imperative mood, focused on why the change has value, not what changed. A documented limit alone replaces the number. Where the claim will not fit, cut it to the value and let the body carry the rest.
- Body: for non-trivial changes, a blank line then the problem the change solves and why this approach — a few short paragraphs at most. The body records why the code is now this way; the diff already shows how, and the process — attempts, dead ends, how the change was verified — dies with the session. Write it plain and self-contained: direct declarative sentences a stranger can skim years later, each claim one that stays true about the code; non-obvious trade-offs and costs qualify, the story of the work does not. Omit for obvious single-purpose changes.
- Credit: When the commit carries someone else's work that will not otherwise land under their name (ported from their branch or PR, or applied from their patch), end the message with a
Co-authored-by: Name <email>trailer for each person that work credits: its commit authors and anyone theirCo-authored-bytrailers name. Copy each identity exactly from those commits or the patch. Never guess an email: when none is recorded, name them in the message body instead. - Formatting details (wrapping, trailers, sign-offs) follow the repo's documented rules and the user's own global instructions; where neither says anything, keep the message plain prose.
Step 5: Group, stage, and commit
Scan the changed files for naturally distinct concerns; if they clearly group into separate logical changes, commit each group — Step 1's learning writes usually form their own docs-type commit.
Keep it lightweight: group at the file level only (no hunk splitting), split only when the separation is obvious, and stay at two or three commits at most.
For each group, stage specific files by name, never git add -A or git add . — that keeps sensitive files (.env, credentials) and unrelated changes out.
Write the full message — subject line, blank line, optional body — to a file outside the repo with your file-write tool, then stage and commit as two calls per commit group:
git add file1 file2 file3git commit -F <message-file> -- file1 file2 file3No shell parses the message with -F: a $, quotes, backticks, or a multi-line body pass through literally under any shell, with no quoting rules to satisfy. Git's normal whitespace cleanup still applies (trailing spaces trimmed, blank-line runs collapsed), which is fine for a commit message.
The trailing path list on git commit is required: a bare git commit takes the whole index, so anything already staged before this run (work the user staged and did not name) would ride into the commit. Naming the paths commits exactly the group and leaves other index entries alone.
During a merge or rebase, git refuses a partial commit: drop the trailing path list, and — the bare commit taking the whole index — check nothing unrelated sits staged before running it.
The path list also commits the named files' working-tree content, not the staged copy, so commit right after the git add above, before anything else touches those files.
Verify with git status and report the commit hash(es) and subject line(s).
Learnings captured, committed → the loop is closed. The next unit of work deserves a fresh session.
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.

