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/mapping-webapp

@5e58100

Generate behavioral/feature documentation for web apps using code-first analysis. Reads source code via tree-sitting to produce _FEATURES.md, with optional visual verification via browser automation. Companion to tree-sitting. Use when documenting app behavior, creating feature inventories, generating behavioral ground truth for agents, or before modifying UI code. Triggers on "map features", "document app behavior", "feature inventory", "what does this app do".

Use this Skill: https://skilld.dev/gh/oaustegard/claude-skills/mapping-webapp

This session only. Nothing lands on disk.

SKILL.md

≈121 tokens always: the name and description. ≈1.4k when used: this file. ≈281 more on demand in 1 file.

Mapping Webapp

Generate _FEATURES.md files documenting what a web app does — screens, flows, states, behavioral invariants. Companion to tree-sitting, which surfaces code structure.

v0.3.0: Code-first architecture. The code IS the ground truth; screenshots are supplementary verification.

Prerequisites

  1. tree-sitting must be installed (structure is scanned at runtime)
  2. Claude API key available (via api-credentials skill or ANTHROPIC_API_KEY env var)
  3. Optional: webctl for visual verification (not required for --code-only)

Usage

# Code-only analysis (no browser needed):
python /mnt/skills/user/mapping-webapp/scripts/featuremap.py \
  --app-url https://example.com --codebase /path/to/repo --code-only

# Full pipeline (code analysis + selective visual verification):
python /mnt/skills/user/mapping-webapp/scripts/featuremap.py \
  --app-url https://example.com --codebase /path/to/repo

# Incremental update:
python /mnt/skills/user/mapping-webapp/scripts/featuremap.py \
  --app-url https://example.com --codebase . --incremental

Options

Flag Default Description
--app-url required Base URL of the web app
--codebase required Path to repo root
--output <codebase>/_FEATURES.md Output path
--max-pages 100 Cap on pages to discover
--code-only false Skip all vision — code analysis only
--verify-only false Only run vision on already-analyzed pages
--batch-size auto Pages per batch (auto-detected from environment)
--incremental false Only re-process changed pages
--viewport 1280x720 Screenshot viewport (WxH)
--routes none Comma-separated routes or path to routes file
--screenshots-dir <codebase>/screenshots Where to store PNGs
--model claude-sonnet-4-6 (set in scripts/featuremap.py; that file is the source of truth) Claude model for analysis/vision
--dry-run / -n false Discover only, print sitemap

Architecture: Code-First Pipeline

Phase 1: DISCOVER

Discovers pages from code structure, not browser crawling:

  • Scans for HTML files (static sites)
  • Detects framework routing conventions (Next.js, SvelteKit, etc.)
  • Scans the codebase for page references
  • Supplements with --routes for manual seeding

No browser required for discovery.

Phase 2: ANALYZE

Reads source code for each discovered page and uses Claude API (text, not vision) to generate behavioral descriptions:

  • Finds relevant source files (HTML + referenced JS/CSS)
  • Includes tree-sitting excerpts for code context
  • Produces: what the user sees, interactions, invariants, code references

Code-derived descriptions are usable standalone. Vision is enrichment, not requirement.

Phase 3: VERIFY (optional)

Selective visual verification for pages where it adds value:

  • Skips error pages (404, 500), gated pages, redirects
  • Captures screenshots + accessibility trees via webctl
  • Sends to Claude vision API to verify/enrich code descriptions
  • Falls back to code description if vision fails

Skipped entirely with --code-only. Run only this phase with --verify-only.

Phase 4: ASSEMBLE

Compiles all descriptions into _FEATURES.md:

  • Source badges indicate code-analyzed vs visually-verified
  • Screenshot references only for verified pages
  • Status summary with breakdown by source

Environment-Adaptive Batching

The skill auto-detects the runtime environment and adjusts batch size:

Environment Batch Size Notes
Claude.ai container 4 pages Short bash timeouts
Claude Code on Web 12 pages Longer execution windows
Local CLI Unbatched Full control

Override with --batch-size N.

Progress is checkpointed after each batch via _FEATURES_MANIFEST.json, so work survives if a conversation ends mid-pipeline.

Incremental Mode

Each run stores page hashes and descriptions in _FEATURES_MANIFEST.json. With --incremental:

  • Code analysis: skips pages with existing descriptions
  • Visual verification: skips pages with unchanged screenshots
  • Descriptions from previous runs are preserved and merged

Auth / Gated Pages

Pages requiring authentication are detected during verification (redirect detection + text heuristics) and marked GATED. The skill generates step-by-step manual capture instructions in GATED_PAGES.md.

Output Format

# _FEATURES.md — App Name
Generated: 2026-03-22T12:00:00+0000
App URL: https://example.com

## Feature Inventory

### Status Summary
- **Documented:** 45 pages
  - Code-analyzed: 40
  - Visually verified: 5
- **Gated (auth required):** 2 pages

### Page Title (`/route`)
> *Derived from source code analysis*

**What the user sees:** Prose description from code analysis.

**Interactions:**
- Button "X" → does Y

**Invariants:**
- Rule 1

**Code:** `src/page.html` :1

---

Relationship to CLAUDE.md

_FEATURES.md is the behavioral source of truth. Structure is not persisted alongside it — it is derived on demand:

  1. tree-sitting → structure, scanned at runtime
  2. mapping-webapp → _FEATURES.md (behavioral)
  3. Merge the behavioral layer into CLAUDE.md architecture/concepts sections

Limitations

  • Code analysis requires Claude API calls (tokens)
  • Visual verification requires webctl + a running app instance
  • SPAs with client-side routing may need --routes flag
  • Auth-gated pages require human intervention for visual verification
  • Code analysis quality depends on source code readability

Source: SKILL.md on GitHub

2 warnings4mo3 checks · Risk SAFE
  • Gen Agent Trust Hub4mo

    The mapping-webapp skill generates behavioral documentation for web applications by analyzing source code and using optional browser automation. It utilizes the Anthropic API for its analysis tasks and correctly handles API keys through standard environment variables or a credential management skill. No security issues were identified.

  • Socket4mo

    2 alerts: gptAnomaly

  • Snyk4mo

    Risk: MEDIUM · 1 issue

Signed by skilld at 5e58100. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 3 weeks ago
metadata
{
  "version": "0.4.1"
}

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