mcpbeat Sign in

Changelog Generator Agent Skill

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.

4k tokens
context cost
the whole folder, loaded on every use
6
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
208
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/skrun-dev/skrun --skill changelog-generator

The instruction itself

4 sections, as written by the author

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).

Workflow

  • Read commits — call the 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.
  • Group commits by Conventional Commit type — parse each commit subject. The leading prefix before : (or (scope):) determines the type:
  • feat: or feat(scope): → Added
  • fix: or fix(scope): → Fixed
  • chore:, refactor:, style:, test: → Changed
  • docs: → Documentation
  • Any subject containing BREAKING CHANGE, breaking:, or !: → Breaking (highest priority — breaking commits go in their own section even if they have another type)
  • Anything else → Other
  • Compose 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.
  • Compose 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 both files — call write_artifact once with filename: "CHANGELOG.md" and once with filename: "release-notes.md".
  • Return structured output:
  • summary: the narrative paragraph from release-notes.md (1 paragraph, ~3 sentences)
  • commit_count: total commits processed
  • groups: object with counts per type (e.g., { "feat": 12, "fix": 7, "chore": 3, "breaking": 1, "docs": 2, "other": 0 })

Style

  • Use crisp, active voice ("Added X" not "X was added").
  • For release-notes.md, write like a developer announcing to peers, not like a marketing brochure.
  • Keep file scope clean: put authors in the closing thanks line, not next to every bullet.
  • Don't invent commits. If a bucket is empty, omit it.

Examples

Input subjects → buckets:

  • feat: add streaming SSE → Added
  • feat(api)!: drop legacy POST /run-sync → Breaking (the ! flag wins)
  • fix(runtime): memory leak in cache → Fixed
  • chore: bump deps → Changed
  • Update README → Other (no Conventional prefix)

Other skills for the same job

different authors, same section of the catalogue
Changelog Generator
by frostant
×9

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.

774 tokens
Codex
by softaworks
×2

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.

2k tokens
Memory Safety Patterns
by ComeOnOliver
×2

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.

6k tokens
Pysam
by K-Dense-AI
×1

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.

34k tokens scripts
Scientific Critical Thinking
by K-Dense-AI
×1

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.

26k tokens
Gh Fix CI
by openai
vendor ×1

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.

8k tokens scripts
Declarative Agent Developer
by microsoft
vendor ×1

> 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"

66k tokens
Documentation
by lingxling
×1

Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.

1k tokens

How to use it

Copy the folder

Take skrun-dev/changelog-generator from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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.