create-pr-description

11
2
Source

Generate and create pull request descriptions automatically using GitHub CLI. Use when the user asks to create a PR, generate a PR description, make a pull request, or submit changes for review. Analyzes git diff and commit history to create comprehensive, meaningful PR descriptions that explain what changed, why it matters, and how to test it.

Install

mkdir -p .claude/skills/create-pr-description && curl -L -o skill.zip "https://mcp.directory/api/skills/download/2657" && unzip -o skill.zip -d .claude/skills/create-pr-description && rm skill.zip

Installs to .claude/skills/create-pr-description

About create-pr-description

create-pr-description is a specialized agent skill created by antinomyhq that extends AI coding assistants with enhanced capabilities. Agent skills provide context, workflows, and specialized knowledge that help AI assistants perform specific tasks more effectively than general-purpose AI alone.

Generate and create pull request descriptions automatically using GitHub CLI. Use when the user asks to create a PR, generate a PR description, make a pull request, or submit changes for review. Analyzes git diff and commit history to create comprehensive, meaningful PR descriptions that explain what changed, why it matters, and how to test it.

How to use create-pr-description

Once installed, create-pr-description becomes available in your AI coding environment automatically. Your AI assistant will use the skill's instructions and knowledge whenever relevant tasks arise in your workflow. You can install it at the project level (available only in a specific project) or globally (available across all your projects).

Use the install panel on this page to copy a one-line command for your preferred AI client. The skill files are downloaded and placed in the appropriate directory — no additional configuration is required.

Compatible AI clients

create-pr-description works with multiple AI coding assistants including Cursor, Claude Code, Codex, Copilot, and other agents that support the skills format. Each client stores skills in a slightly different directory, but the installation command handles this automatically.

What are agent skills?

Agent skills are reusable instruction sets that give AI coding assistants new capabilities. Unlike MCP servers that provide tools and API connections, skills provide context, workflows, and domain-specific knowledge. Think of skills as specialized training for your AI assistant — they help it understand particular frameworks, coding patterns, or development workflows.

Browse more skills in the skills directory or check out the leaderboard to see the most popular skills.

About the author

antinomyhq has published 6 skills on MCP.Directory. Browse their full catalog to discover complementary skills for your workflow.

resolve-conflicts

antinomyhq

Use this skill immediately when the user mentions merge conflicts that need to be resolved. Do not attempt to resolve conflicts directly - invoke this skill first. This skill specializes in providing a structured framework for merging imports, tests, lock files (regeneration), configuration files, and handling deleted-but-modified files with backup and analysis.

22060

create-plan

antinomyhq

Generate detailed implementation plans for complex tasks. Creates comprehensive strategic plans in Markdown format with objectives, step-by-step implementation tasks using checkbox format, verification criteria, risk assessments, and alternative approaches. Use when users need thorough analysis and structured planning before implementation, when breaking down complex features into actionable steps, or when they explicitly ask for a plan, roadmap, or strategy. Strictly planning-focused with no code modifications.

11416

create-agent

antinomyhq

Create new agents for the code-forge application. Agents are stored as .md files in the <cwd>/.forge/agents directory with YAML frontmatter (id, title, description, reasoning, tools, user_prompt) and markdown body containing agent instructions. Use when users need to add new agents, modify existing agents, or understand the agent file structure.

184

execute-plan

antinomyhq

Execute structured task plans with status tracking. Use when the user provides a plan file path in the format `plans/{current-date}-{task-name}-{version}.md` or explicitly asks you to execute a plan file.

21

debug-cli

antinomyhq

Use when users need to debug, modify, or extend the code-forge application's CLI commands, argument parsing, or CLI behavior. This includes adding new commands, fixing CLI bugs, updating command options, or troubleshooting CLI-related issues.

161

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