diff-intake
SkillReads a PR or branch diff and produces a structured YAML change brief for downstream analytics instrumentation skills. Use this as the first step whenever a user shares a PR link, branch comparison, or raw diff and wants to understand what changed, what needs tracking, or how to instrument a feature
Install
git clone https://github.com/amplitude/mcp-marketplace.git ~/.claude/skills/diff-intakeWhat is diff-intake?
Reads a PR or branch diff and produces a structured YAML change brief for downstream analytics instrumentation skills. Use this as the first step whenever a user shares a PR link, branch comparison, or raw diff and wants to understand what changed, what needs tracking, or how to instrument a feature. Trigger on phrases like "review this PR", "what changed in this branch", "help me instrument this diff", "check analytics coverage for this change", or any request to start the analytics review workflow.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~126 tokens of context used while enabled, before you invoke anything
Trust
83/100 · Excellent2 factors scored below maximum
Documentation
README · ~3 min readdiff-intake
Follow this skill step by step. You are step 1 of the analytics instrumentation workflow. Produce a compact YAML change brief that downstream skills (discover-event-surfaces, instrument-events) will consume. Keep the output machine-readable and precise — no prose around the YAML block.
Step 1: Gather changed files and categorize
Fetch the list of changed files from the source, then categorize each one.
Fetching changes
- PR URL
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just skills.
Skillssimilar to this one
All skills →gstack
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
125.1K stars
mem0
Universal memory layer for AI Agents
62K stars
awesome-copilot
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
37.2K stars
MCP Servers
All mcp servers →Plugins
All plugins →superpowers
Superpowers teaches Claude brainstorming, subagent driven development with built in code review, systematic debugging, and red/green TDD. Additionally, it teaches Claude how to author and test new skills.
263.6K stars
ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
92K stars
code-review
Automated code review for pull requests using multiple specialized agents with confidence-based scoring to filter false positives
32.9K stars
Commands
All commands →Hooks
All hooks →PostToolUse (Edit|Write|MultiEdit|NotebookEdit)
Security guidance plugin — pattern-based warnings on edits, git-diff-based LLM review on stop
Stop
Security guidance plugin — pattern-based warnings on edits, git-diff-based LLM review on stop
PostToolUse (Bash)
Security guidance plugin — pattern-based warnings on edits, git-diff-based LLM review on stop
Subagents
All subagents →code-reviewer
Use this agent when you need to review code for adherence to project guidelines, style guides, and best practices. This agent should be used proactively after writing or modifying code, especially before committing changes or creating pull requests. It will check for style violations, potential issu
32.8K stars
agent-creator
Use this agent when the user asks to "create an agent", "generate an agent", "build a new agent", "make me an agent that...", or describes agent functionality they need. Trigger when user wants to create autonomous agents for plugins. Examples: <example> Context: User wants to create a code review a
32.8K stars
code-simplifier
Use this agent when code has been written or modified and needs to be simplified for clarity, consistency, and maintainability while preserving all functionality. This agent should be triggered automatically after completing a coding task or writing a logical chunk of code. It simplifies code by fol
32.8K stars