Agent skill
ai-pipeline
Use when creating or evolving CI/CD pipelines: stack-aware generation for GitHub Actions and Azure Pipelines with security enforcement.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/ai-pipeline
SKILL.md
CI/CD Pipeline
Router skill for CI/CD pipeline generation. Dispatches to handler files based on sub-command.
When to Use
- Creating new CI/CD pipelines for a project.
- Evolving existing pipelines with advanced patterns.
- Validating pipeline compliance (SHA pinning, timeouts, concurrency).
- NOT for running pipelines -- that is the CI system's job.
Routing
| Sub-command | Handler | Purpose |
|---|---|---|
generate |
handlers/generate.md |
Create new pipeline from project analysis |
evolve |
handlers/evolve.md |
Add advanced patterns to existing pipeline |
validate |
handlers/validate.md |
Check pipeline compliance |
Default (no sub-command): generate.
Quick Reference
/ai-pipeline generate # new pipeline from project analysis
/ai-pipeline generate --provider azure # Azure Pipelines specifically
/ai-pipeline evolve # add advanced patterns
/ai-pipeline validate # check compliance
Shared Rules
- SHA pinning: all third-party actions use SHA pins. First-party (
actions/*) may use major tags. - No
*versions: explicit version constraints always. - OIDC auth: prefer OIDC over long-lived secrets.
- Timeouts: every job must have
timeout-minutes. - Concurrency: group by branch to prevent parallel runs.
Integration
- Stack detection: reads
pyproject.toml,*.csproj,package.json,Cargo.toml. - Validation:
actionlintfor GitHub Actions. - Policy:
scripts/check_workflow_policy.pyfor SHA pinning and timeout compliance.
References
.ai-engineering/manifest.yml-- CI/CD standards..ai-engineering/contexts/-- per-stack check definitions. $ARGUMENTS
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