PluginBench
Skill
Review
Audit score 70

diff-intake

amplitude/mcp-marketplace

Parse PR diffs into structured YAML briefs for analytics instrumentation workflows.

What is diff-intake?

diff-intake reads a PR or branch diff and produces a machine-readable YAML change brief that downstream analytics skills consume. Use this as the first step when reviewing code changes to understand what changed, identify user-facing behavior shifts, and prepare for event instrumentation.

  • Fetches and categorizes changed files from PR URLs, branch comparisons, or raw diffs
  • Reads Core Logic files and builds a detailed file summary map with layer classification (frontend/backend/shared)
  • Identifies user-facing changes and interaction surfaces (components, routes, handlers) relevant to analytics
  • Classifies the overall change type (feat/fix/refactor/perf/etc.) and determines analytics scope (none/low/medium/high)
  • Emits a compact, machine-readable YAML brief for downstream event discovery and instrumentation skills

How to install diff-intake

npx skills add https://github.com/amplitude/mcp-marketplace --skill diff-intake
Prerequisites
  • Git repository access (local or via gh CLI)
  • GitHub CLI (gh) installed for PR fetching, or ability to provide raw diffs
  • Access to the branch or PR being analyzed
Claude Code
Cursor
Windsurf
Cline

How to use diff-intake

  1. 1.Provide a PR URL, branch name, or raw diff when asking the skill to analyze changes
  2. 2.The skill will fetch the diff and categorize all changed files
  3. 3.It will read Core Logic files in detail and extract user-facing changes and interaction surfaces
  4. 4.Review the emitted YAML brief to understand what changed and which surfaces need instrumentation
  5. 5.Pass the YAML brief to downstream skills (discover-event-surfaces, instrument-events) for event discovery and tracking setup

Use cases

Good for
  • Start an analytics review workflow when a user shares a PR link and asks 'what changed' or 'help me instrument this'
  • Determine which surfaces need event tracking before running discover-event-surfaces or instrument-events skills
  • Quickly assess analytics impact of a code change by classifying it as feature, fix, refactor, or chore
  • Prepare a structured handoff document for analytics teams reviewing a feature branch or pull request
  • Identify user-facing behavior changes that should be tracked for product analytics
Who it's for
  • Analytics engineers instrumenting new features
  • Product managers reviewing code changes for tracking coverage
  • Developers preparing PRs and wanting to understand instrumentation needs
  • Teams using multi-step analytics instrumentation workflows

diff-intake FAQ

What if I only have a raw diff, not a PR URL or branch?

Provide the diff text directly. The skill will parse it to categorize files and extract changes without needing GitHub CLI access.

Does this skill instrument events itself?

No. diff-intake produces a structured brief for downstream skills. Use discover-event-surfaces and instrument-events to actually define and add tracking.

What files does it analyze in detail?

Only Core Logic files (application source code). Generated, test, config, documentation, and noise files are categorized but not read in detail.

How does it determine analytics scope?

By classifying the change type (feat/fix/refactor/perf/etc.). Features and capability additions get 'high' scope; fixes get 'medium'; refactors and perf get 'low'; style/docs/test/build/ci/chore get 'none'.

What if the change has no user-facing impact?

The skill will emit the brief with an empty user_facing_changes list and note that downstream analytics skills are not needed.

Full instructions (SKILL.md)

Source of truth, from amplitude/mcp-marketplace.


name: diff-intake description: > 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.

diff-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 gh pr view <number-or-url> gh pr view <pr-number> --json files --jq '.files[] | "\(.path)\t+\(.additions) -\(.deletions)\t"'
  • Branch comparison git log <main|master>..<branch> git diff --stat <main|master>..<branch>
  • Ambiguous mention (PR number, branch name): infer the right form and fetch without asking unless auth fails.

Categorize files

Assign each file to a category based on its path:

  • Core Logic: application source (e.g. src/auth/login.py, database/models.ts)
  • Generated: anything with generated in its path
  • Testing: test files
  • Config / Dependencies: package.json, docker-compose.yml, etc.
  • Documentation: READMEs, docs/
  • Noise: lock-files, .svg, auto-generated migrations

For each file, record: path, category, change type (Added / Modified / Deleted), and analytics likelihood (1–5).

Step 2: Build the file summary map

Read every single Core Logic file and create the file summary map. Only process and include Core Logic files.

Fetching detailed diffs

  • PR gh pr view <number-or-url> --json baseRefOid,headRefOid Using the response, get a detailed diff git diff <baseRefOid>...<headRefOid> -- <file1> <file2> <file_n>
  • Branch comparison git diff main..feature/foo -- <file1> <file2> <file_n>

For each file, record

  • summary — 2-line summary of what changed
  • stack — frontend, backend, or shared

Also derive user-facing changes and touched surfaces

While reading the diff and the changed files, also produce the higher-level signals that downstream event discovery needs:

  • user_facing_changes — a flat list of concrete behavior changes that matter to a user, PM, or analyst. Each item should describe what a user can now do, see, or experience differently. Omit purely internal refactors.
  • surfaces.components — the UI components, routes, pages, handlers, or other interaction surfaces directly involved in those user-facing changes. Prefer likely instrumentation points over low-level helpers.

For each surface, record:

  • name — component, route, page, hook, or surface name
  • file — repo-relative path
  • change — added, modified, or deleted

If the change is backend-only or has no clear interactive surface, omit surfaces.components rather than inventing one.

Step 3: Classify the overall change

Infer the change type and analytics scope:

TypeAnalytics implication
featHigh — new surfaces likely need tracking
fixLow–Medium — may affect existing event conditions
refactorLow — tracking paths may move, regression risk
perfLow — usually no tracking impact
revertMedium — need to check what tracking was lost
style / docs / test / build / ci / choreNone — skip analytics analysis

analytics_scope = highest implication present:

  • none — only no-impact types
  • low — only perf/refactor
  • medium — fix
  • high — any feature or capability addition

If analytics_scope is none, emit the brief and note that downstream skills are not needed.

Step 4: Emit the YAML brief

Output only the YAML block — no prose before or after. Follow the format exactly. List each file individually in file_summary_map (no globs).

change_brief:
  classification:
    primary: feat           # dominant conventional commit type
    types: [feat, fix]      # all types detected
    analytics_scope: high   # none | low | medium | high
    stack: frontend         # frontend | backend | fullstack
  summary: "One sentence describing the overall change"
  user_facing_changes:
    - "Users can now upload an avatar with drag-and-drop and preview it before saving."
  surfaces:
    components:
      - name: "AvatarUpload"
        file: "src/components/AvatarUpload.tsx"
        change: modified
  file_summary_map:         # each entry includes a layer field
    - file: "src/components/AvatarUpload.tsx"
      summary: "New component for avatar upload with drag-and-drop and preview"
      layer: frontend       # frontend | backend | shared
    - file: "src/api/upload.ts"
      summary: "Upload endpoint handler, validates file type and persists to S3"
      layer: backend