highflame-ai/ai-factory/release-notes
Claude Code and agent skill by highflame-ai/ai-factory
- community
Checking that the SKILL.md file is still in the repository.
Draft multi-audience release notes (customer, engineering, executive) from a git tag or range — classifies commits and merged PRs by type, pulls context from linked specs, and produces a reviewable draft. Never publishes anything itself. Use when cutting a release, tagging a version, or when asked "what shipped since <tag>?".
Install
npx vskill@latest install highflame-ai/ai-factory/release-notesSemi-extensibleMentions customization, but needs skill-specific knowledge. Read the extensible skills standard
SKILL.md
Release notes — multi-audience draft from a git range
Ethos
!sh .aif/partials/ethos-include.sh 2>/dev/null || sh ~/.claude/skills/partials/ethos-include.sh
Input
$ARGUMENTS
Overview
Turns "what shipped?" from an archaeology exercise into a draft: resolve the range, gather the commits and merged PRs, classify them, and write notes tuned per audience. The output is a draft artifact for human review — this skill never tags, never publishes, never posts.
When to use
- Cutting a release / about to tag
- "Write the release notes for v1.4" / "what shipped since v1.3?"
- A recurring release digest (see
~/.claude/aif-references/trigger-recipes.mdfor scheduling)
Skip for: single-PR summaries (the PR description already is one), and changelogs for unreleased work (use /status).
Process
Step 1 — Resolve the range
If there are no tags and no explicit range was given, STOP and ask the user for a starting point — guessing a range produces notes that misrepresent the release.
Step 2 — Gather what shipped
For PR titles/bodies and linked issues, use gh pr list --state merged --search "merged:>**<date>**" or read the merge commits. Cross-repo releases: if .aif/config.yml declares repos:, ask whether siblings are part of this release and repeat per repo (skip silently in single-repo mode).
Step 3 — Classify
Bucket each change using the commit-prefix convention (org.commit_prefix_regex; default Conventional Commits):
| Bucket | From | Audience weight | |
|---|---|---|---|
| Breaking changes | ! suffix, BREAKING CHANGE: footers, major API removals | all audiences, first | |
| Features | feat: | customer + engineering | |
| Fixes | fix: | customer (user-visible only) + engineering | |
| Performance / reliability | perf:, infra fix: | engineering; customer only if user-visible | |
| Internal (refactor/test/build/chore/docs) | everything else | engineering only, one compressed line |
Read the diff (not just the subject) for anything ambiguous — a fix: that changes a public contract is a breaking change no matter what the subject says (ethos #1). If .aif/specs/ or org.spec_registry entries are referenced by the changes, pull the requirement titles for accurate feature descriptions; skip when neither exists.
Step 4 — Draft per audience
Write to ${TMPDIR:-/tmp}/release-notes-<version>.md (resolve the path in shell first — the Write tool doesn't expand variables). One file, three sections (or only the requested --audience):
Step 5 — Verify, then hand off
- Every breaking change in the draft traces to a real commit/PR (cite it).
- Nothing in the customer section references internal-only surfaces.
- Present the draft path to the user. Publishing (GitHub release, docs site, email) is the human's call — offer, don't act.
Failure modes to avoid
- Trusting commit subjects over diffs — subjects lie; the release notes must not (ethos #1).
- Padding empty sections ("various bug fixes and improvements") — omit instead.
- Publishing anywhere without explicit human approval.
- Treating the newest tag as the release being cut — the range END is usually HEAD or a release branch; confirm.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/release-notes/SKILL.md
Popularity
- 7-day trend score
- 0
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