pull-request-preparation
Skill2 starsChanged 32 days agoMITView on GitHub
Assembles PR description, evidence package, and completion report after validation
In this repository52 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .cursor/rules/00-core-operating-model.mdcCursor rule
- .cursor/rules/01-plan-approval-gate.mdcCursor rule
- .cursor/rules/02-git-worktree-policy.mdcCursor rule
- .cursor/rules/03-validation-definition-of-done.mdcCursor rule
- .cursor/rules/04-documentation-memory.mdcCursor rule
- accessibility-reviewSkill
- agent-skills-packagingSkill
- autonomy-budgetSkill
- bounded-autonomySkill
- candidate-promotionSkill
- capability-planningSkill
- code-reviewerSkill
- code-structure-cleanupSkill
- compass-evaluatorSkill
- context-inodesSkill
- dependency-supply-chainSkill
- docker-cloudSkill
- embedding-providersSkill
- execution-telemetrySkill
- experience-routingSkill
- experience-skill-trainingSkill
- external-knowledge-ingestSkill
- github-integrationSkill
- goose-agent-orchestrationSkill
- harness-gcSkill
- hosted-vector-dbSkill
- implementation-planningSkill
- ios-engineeringSkill
- knowledge-stewardSkill
- linear-integrationSkill
- node-engineeringSkill
- northstar-connected-routineSkill
- notion-integrationSkill
- package-registry-tiSkill
- persistent-role-promotionSkill
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- postgres-prismaSkill
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- project-overseerSkill
- python-mlSkill
- react-engineeringSkill
- repository-discoverySkill
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- security-audit-proceduresSkill
- security-reviewSkill
- skill-learning-loopSkill
- skill-lifecycleSkill
- source-code-contextSkill
- technology-intelligence-liveSkill
- testing-validationSkill
- worktree-orchestrationSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 4 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 28
If gh (or GitHub MCP) is authenticated, create the remote PR.
- Distinctive: line 30
Update PROGRESS.md and CHANGELOG.md as needed.
- Very specific: line 31
When closing out, load Skill execution-telemetry and record the run/Experience.
- Distinctive: line 43
Do not deploy to production without explicit approval.
- Distinctive: line 44
Do not omit failed or skipped validation from the report.
- Distinctive: line 45
Do not fail the workflow solely because GitHub auth is unavailable.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Pull Request Preparation
Use this Skill when
Implementation and validation are complete and the change is ready for Captain review.
Inputs
- Approved IMPLEMENTATION_PLAN.md
- Commits and branch
- Validation evidence
- Updated documentation
Procedure
- Confirm Definition of Done items are satisfied or explicitly waived.
- Summarize the change against acceptance criteria.
- Link issue, plan, and evidence paths.
- List test commands and results.
- Note risks, follow-ups, and rollback steps.
- Draft the pull request title and body.
- Load the
github-integrationSkill:- If
gh(or GitHub MCP) is authenticated, create the remote PR. - Otherwise, leave a PR-ready description and local issue placeholder.
- If
- Update PROGRESS.md and CHANGELOG.md as needed.
- When closing out, load Skill
execution-telemetryand record the run/Experience. - Produce a First Mate completion report.
See also: review-fix-loop when review feedback still needs iterative fixes before this Skill runs.
Output
PR (remote when possible) or PR-ready description, plus completion report for the Captain.
Prohibited actions
- Do not auto-merge.
- Do not deploy to production without explicit approval.
- Do not omit failed or skipped validation from the report.
- Do not fail the workflow solely because GitHub auth is unavailable.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- 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.

