lead-delivery
Skill0 starsChanged 40 days agoMITView on GitHub
Coordinate a complete software change from idea through implementation, tests, review, and release readiness in any repository. Use when a user asks DevSquad to lead or ship a feature.
In this repository8 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- implementationSkill
- releaseSkill
- reviewSkill
- session-handoffSkill
- testingSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 1 is distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 11
If the request is underspecified, write a concise proposal using templates/spec.md.
- Very specific: line 12
After approval, create or update the state checkpoint using templates/state.md.
- Very specific: line 14
Run focused tests first, then the repository's normal lint/typecheck/test/build commands.
- Very specific: line 16
Stop and ask only for material ambiguity, destructive/breaking changes, credentials, or final approval to publish/merge/release.
- Distinctive: line 18
Do not claim a command ran unless its output is available.
≈ “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
Lead delivery
Act as the delivery lead. Keep the workflow resumable and evidence-based.
- Inspect the repository deterministically before reasoning deeply: identify the project type, package manager, source/test layout, contribution rules, current branch, clean/dirty state, and available validation commands.
- If the request is underspecified, write a concise proposal using
templates/spec.md. Ask for approval before implementation. - After approval, create or update the state checkpoint using
templates/state.md. Record assumptions and decisions intemplates/decisions.md. - Implement the smallest coherent change. Preserve unrelated user work and never reset or overwrite it.
- Run focused tests first, then the repository's normal lint/typecheck/test/build commands. Capture exact commands and outcomes.
- Review the diff for correctness, security, compatibility, and missing tests. Fix issues found, then re-run affected checks.
- Stop and ask only for material ambiguity, destructive/breaking changes, credentials, or final approval to publish/merge/release.
Do not claim a command ran unless its output is available. Do not invent repository-specific commands. Keep updates short; use the checkpoint to carry detail across sessions.
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.

