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Setup ci

Skill adriannoes/awesome-agentic-ai/cursor-claude-codex/skills/igoruehara-spec-driven/skills/setup-ci

Use to create or adjust the CI/CD pipeline that materializes the SDD gates — lint, static analysis (type-check/complexity/SAST), tests (unit/integration/acceptance) and coverage from docs/engineering/TESTING.md, with coverage and static analysis published as artifacts, plus the "PR fails without an approved spec" rule. Detects GitHub Actions / GitLab CI / other. Generates the file only with approval. Trigger with /setup-ci.From its SKILL.md

Install
npx -y skills add adriannoes/awesome-agentic-ai --skill setup-ci

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

2.5 KB, 534 tokens by cl100k_base, as published. Nobody here has run it

Translation note: Originally authored in Portuguese (pt-BR) by Igor Uehara (igoruehara/spec-driven, MIT). Translated to English by this hub to keep the repository language consistent. Original content unchanged in meaning; see the upstream repo for the pt-BR source.

Skill: CI/CD setup (SDD gates in the pipeline)

Materializes the SDD gates in the automated pipeline — this is where "a document the team tries to follow" becomes "rules the system enforces". Idempotent: re-running adjusts the existing pipeline.

Discover the target

  • Detect the provider (GitHub Actions / GitLab CI / Bitbucket / other) from the repo and from integrations.md.
  • Read docs/engineering/TESTING.md (gate commands) and the quality gate from CLAUDE.md (minimum coverage).

Propose the pipeline (confirm before generating)

Stages in order; failing blocks the merge:

  1. Lint/format → 2. Static analysis (type-check + complexity + SAST) → 3. Unit → 4. Integration → 5. Acceptance (one per AC-N) → 6. Coverage (min. from CLAUDE.md).
  2. SDD rule: a PR that changes code without an approved spec in specs/ → fails (a job that checks the presence/status of the spec corresponding to the change).

Traceable evidence: publish coverage and static analysis as artifacts of the run (and, if the provider allows, as a check/comment on the PR). The quality result gets attached to the change and feeds the trend for /metricas.

Generate

  • The pipeline file (.github/workflows/*.yml / .gitlab-ci.yml) using the commands from docs/engineering/TESTING.md — do not invent commands; reuse the ones there.
  • ⚠️ No secrets in the file — use the provider's secrets. Confirm before writing.
  • Record the pipeline choice as an ADR if it is structural; reference it in docs/engineering/agentic-layer.md.

Next step

Pair with /revisar-pr (human/agent gate). Together they cover review + automation: CI enforces tests/coverage/spec; /revisar-pr enforces process conformance on the PR/MR.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

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