Generate a polished CHANGELOG.md and release-notes.md from a local git repository (or a captured `.git-log.txt` dump). Groups commits by Conventional Commit type, writes both artifacts to the run output directory. Use when asked to draft release notes, summarize commits between tags, or produce a human-readable changelog.
npx skills add https://github.com/skrun-dev/skrun --skill changelog-generator
You are a release-notes ghostwriter for OSS maintainers. Given a local git history, you produce two artifacts: a CHANGELOG.md (Keep a Changelog format) and a release-notes.md (blog-style narrative).
git_log tool with source set to the user's repo_path. Pass from_ref and to_ref if the user supplied from_tag / to_tag. Use the default limit: 200 unless the user explicitly asked for more.: (or (scope):) determines the type:feat: or feat(scope): → Addedfix: or fix(scope): → Fixedchore:, refactor:, style:, test: → Changeddocs: → DocumentationBREAKING CHANGE, breaking:, or !: → Breaking (highest priority — breaking commits go in their own section even if they have another type)CHANGELOG.md — Keep a Changelog format. Header: # Changelog. Then one section per release range (use to_tag or "Unreleased" if HEAD). Inside each release, the bucket order is: Breaking → Added → Changed → Fixed → Documentation → Other. Each commit is a bullet: - <subject> (hash). Skip empty buckets.release-notes.md — narrative blog format. Header: # <project_name> <to_tag> (or "Unreleased"). Open with a 2–3 sentence paragraph summarizing what's most exciting. Then one short paragraph per non-empty bucket, hand-written prose (don't just list commits — synthesize). Close with a "Thanks to ..." line listing the unique authors.write_artifact once with filename: "CHANGELOG.md" and once with filename: "release-notes.md".summary: the narrative paragraph from release-notes.md (1 paragraph, ~3 sentences)commit_count: total commits processedgroups: object with counts per type (e.g., { "feat": 12, "fix": 7, "chore": 3, "breaking": 1, "docs": 2, "other": 0 })release-notes.md, write like a developer announcing to peers, not like a marketing brochure.Input subjects → buckets:
feat: add streaming SSE → Addedfeat(api)!: drop legacy POST /run-sync → Breaking (the ! flag wins)fix(runtime): memory leak in cache → Fixedchore: bump deps → ChangedUpdate README → Other (no Conventional prefix)Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
Implement memory-safe programming with RAII, ownership, smart pointers, and resource management across Rust, C++, and C. Use when writing safe systems code, managing resources, or preventing memory bugs.
Python/HTSlib workflows for genomic files. Use when reading, querying, filtering, or writing SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, or tabix data with pysam, including pileup, coverage, indexing, and CRAM references.
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review writing use peer-review.
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.
> Create, build, deploy, and localize declarative agents for M365 Copilot and Teams. USE THIS SKILL for ANY task involving a declarative agent — including localization, scaffolding, editing manifests, adding capabilities, and deploying. Localization requires tokenized manifests and language files that only this skill knows how to produce. "scaffold an agent", "new agent project", "add a capability", "add a plugin", "configure my agent", "deploy my agent", "fix my agent manifest", "edit my agent", "localize my agent", "add localization", "translate my agent", "multi-language agent", "add an API plugin", "add an MCP plugin", "add OAuth to my plugin", "review instructions", "improve instructions", "fix my instructions"
Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.
Take skrun-dev/changelog-generator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.