changelog-and-release-notes
Write and review changelogs, release notes, app-store update notes, launch notes, migration notes, breaking-change notices, and customer-facing product update communication for SaaS, apps, games, developer tools, desktop software, and marketplaces. Use when a release needs clear user value, risk communication, upgrade guidance, or support-aware wording.
Works with
--- name: changelog-and-release-notes description: Write and review changelogs, release notes, app-store update notes, launch notes, migration notes, breaking-change notices, and customer-facing product update communication for SaaS, apps, games, developer tools, desktop software, and marketplaces. Use when a release needs clear user value, risk communication, upgrade guidance, or support-aware wording. license: MIT --- # Changelog And Release Notes Use this skill to communicate product change clearly without dumping commits. ## Workflow 1. Identify audience, release type, risk level, channels, and required actions. 2. Read `references/changelog-release-notes-patterns.md`. 3. Convert raw changes into user impact, action needed, compatibility, support, and rollout notes. 4. Separate public notes, technical changelog, store notes, and internal support notes. 5. Produce final notes and validation checklist. ## When not to use - Do not use for generic advice the base model already handles without this skill's specific artifact contract. ## Guardrails - Do not hide breaking changes, migrations, data changes, or pricing/support impacts. - Do not expose secrets, internal incident details, or security exploit instructions. - Do not write vague notes like bug fixes and improvements when users need specifics. ## Output format ```text Release type: Audience: Risk: Public notes: - <user-facing change> Technical/support notes: - <compatibility, migration, known issue, support macro> Validation: - <check> ```
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repo-intake-and-plan
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Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
minimal-run-and-audit
lllllllama/rigorpilot-skills
Rigor Run skill for README-first deep learning repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, hidden scientific-meaning changes, or end-to-end orchestration by itself.

