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Yocto ci release

Skill prashantdivate/awesome-yocto-ai-agent-skills/yocto-ci-release

Yocto CI, reproducible build, and release engineering skill for AI coding agents. Use for kas, repo manifests, Git submodules, containerized builds, CI runners, downloads and sstate caches, hash equivalence, PR build gates, QEMU tests, hardware smoke tests, artifact publishing, SDK releases, SBOM/license manifests, release notes, and version pinning.From its SKILL.md

Install
npx -y skills add prashantdivate/awesome-yocto-ai-agent-skills --skill yocto-ci-release

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

One thing to look at

  • 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.4 KB, 242 tokens by cl100k_base, as published. Nobody here has run it

Yocto CI Release

Workflow

  1. Identify source orchestration: kas, repo, submodules, manifest repo, or monorepo.
  2. Pin every layer and external source needed for reproducibility.
  3. Separate caches from build output: DL_DIR, SSTATE_DIR, hash equivalence, container caches, and artifacts.
  4. Build the smallest useful CI matrix: parse, recipe smoke, image, SDK, QEMU/testimage, hardware smoke where available.
  5. Publish signed and checksummed artifacts with machine, distro, image, git refs, build config, license data, and SBOM if enabled.
  6. Keep secrets out of local.conf, logs, and artifacts.

References

Guardrails

  • Do not use floating branch refs for release builds.
  • Do not persist tmp/ as a cache unless the project explicitly accepts the fragility.
  • Do not publish images without checksums and provenance.
  • Do not run hardware flashing in CI without explicit device targeting and recovery controls.

What ships with it: 2 files

1.6 KB alongside SKILL.md

agents/

references/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.