How to Generate User-Facing Changelogs from Git Commits with Claude Skills

The Changelog Generator skill transforms raw Git commit history into polished, customer-ready release notes by leveraging Claude to categorize commits, rewrite technical jargon into plain language, and apply custom formatting rules defined in markdown style guides.

Manually translating developer commits into user-friendly release notes consumes hours of engineering time. According to the ComposioHQ/awesome-claude-skills source code, the Changelog Generator skill automates this workflow entirely within a Claude-driven pipeline, converting git log output into publication-ready markdown suitable for CHANGELOG.md, CI pipelines, or app store submissions.

How the Changelog Generator Works

The skill operates through a three-stage pipeline defined in changelog-generator/SKILL.md and packaged by the skill-creator/scripts/init_skill.py tooling.

Input Collection. The skill constructs a prompt that instructs Claude to execute git log for a specified date range or tag range, then categorizes commits into New Features, Improvements, Fixes, Breaking Changes, and Security updates.

Language Processing. Claude analyzes the commit messages and rewrites each entry in plain, user-friendly language. If a CHANGELOG_STYLE.md file is present in the repository root, Claude applies its specific formatting rules, emoji conventions, and brand tone to the output.

Markdown Output. The final result delivers structured markdown with appropriate headings and bullet points, ready for immediate publication or further automated distribution.

Prerequisites and Skill Structure

Unlike traditional executable scripts, the Changelog Generator is defined as a markdown descriptor. The surrounding tooling—specifically skill-creator/scripts/init_skill.py and skill-creator/scripts/package_skill.py—converts this descriptor into a callable endpoint via the Composio API.

To use the skill, you need:

• A Claude-compatible API client (Composio SDK or HTTP access)
• Access to the target Git repository root
• Optional: A CHANGELOG_STYLE.md file for custom formatting rules

Generating Changelogs with the Composio Python SDK

The ClaudeClient class handles prompt construction and API communication. The skill name changelog-generator triggers the specific workflow defined in the repository's skill descriptor.

import os
from composio import ClaudeClient

# Initialise with your Composio API key

client = ClaudeClient(api_key=os.getenv("COMPOSIO_API_KEY"))

# Define the commit range and optional style guide

params = {
    "date_range": "since v2.4.0",  # Accepts tags, dates, or relative ranges like "past 7 days"

    "style_file": "CHANGELOG_STYLE.md",  # Optional: set to None to skip

}

# Execute the skill

response = client.run_skill(
    skill_name="changelog-generator",
    input=params,
)

# The output contains formatted markdown ready for CHANGELOG.md

print(response["output"])

The SDK references skill-creator/scripts/init_skill.py to automatically package the prompt logic and parameter schema required by Claude.

Using cURL for Direct API Access

For CI pipelines or lightweight automation, invoke the skill directly via HTTP POST to the Composio endpoint.

curl -X POST https://api.composio.dev/v1/skills/run \
  -H "Authorization: Bearer $COMPOSIO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
        "skill_name": "changelog-generator",
        "input": {
          "date_range": "past week",
          "style_file": null
        }
      }'

The JSON response includes an output field containing the complete markdown changelog.

Customizing Output with CHANGELOG_STYLE.md

Supplying a custom style guide enables teams to enforce brand consistency. When the style_file parameter points to a markdown document, Claude incorporates those formatting rules into the generation prompt.

Typical style definitions include:

• Emoji conventions (e.g., ✨ for features, 🐛 for fixes)
• Heading hierarchy (H1 for release date, H2 for categories)
• Tone guidelines (professional vs. casual)
• Entry templates (e.g., "- Feature Name: Description")

Without a style file, the skill applies default categorization and formatting conventions.

Local Shell Integration Without the SDK

For environments where installing the Python SDK is impractical, you can manually fetch commits and pipe them through the skill using standard shell utilities.

#!/usr/bin/env bash

# Extract commits from the last week

git log --since="1 week ago" --pretty=format:"- %s" > commits.txt

# Pass raw commits to Claude via the skill

python - <<'PY'
import os
from composio import ClaudeClient

client = ClaudeClient(api_key=os.getenv("COMPOSIO_API_KEY"))

with open("commits.txt") as f:
    commit_list = f.read()

response = client.run_skill(
    skill_name="changelog-generator",
    input={"raw_commits": commit_list}
)
print(response["output"])
PY

This approach leverages the skill's ability to process pre-fetched commit lists rather than executing git log internally.

Validation and Testing

Before deploying to production, use skill-creator/scripts/quick_validate.py to test the skill against sample inputs. This utility validates prompt construction and parameter handling without consuming API credits or modifying live changelog files.

Summary

• The Changelog Generator skill converts technical git log output into user-friendly release notes through Claude's natural language processing.
• Define commit ranges using tags, dates, or relative timeframes via the date_range parameter.
• Customize branding and formatting by supplying a CHANGELOG_STYLE.md file referenced in the style_file parameter.
• Invoke the skill through the Composio Python SDK, direct HTTP API calls, or shell scripts depending on your CI/CD requirements.
• The skill descriptor lives in changelog-generator/SKILL.md and is packaged for execution by skill-creator/scripts/init_skill.py.

Frequently Asked Questions

What Git commit format works best with the Changelog Generator?

The skill handles standard Git commit messages natively, but structured commit formats (Conventional Commits) improve categorization accuracy. Claude parses messages to identify features, fixes, and breaking changes regardless of format, though descriptive subject lines yield better user-facing translations than cryptic developer shorthand.

Can I generate changelogs for specific date ranges rather than tags?

Yes. The date_range parameter accepts multiple input types: Git tags (e.g., "since v2.4.0"), absolute dates (e.g., "2024-03-01..2024-03-15"), or relative timeframes (e.g., "past week"). The skill constructs the appropriate git log command based on the format provided.

Is the CHANGELOG_STYLE.md file required?

No. The style_file parameter is optional; omitting it or setting it to null triggers default formatting with standard emoji categorization and markdown structure. The style file is only necessary when teams require custom branding, specific heading hierarchies, or industry-specific terminology standards.

How does this differ from conventional changelog generators?

Traditional generators like git-chglog or standard-version rely on regex parsing and template strings. The Changelog Generator skill uses language model reasoning to interpret commit intent, filter internal refactors that don't affect users, and rewrite technical implementation details into value-focused descriptions that end-users understand.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}