agentsclimarketplace

Cds map codebase

Skill Enakoneschniy/claude-dev-stack/vendor/cds-workflow/skills/cds-map-codebase

Analyze codebase with parallel mapper agents to produce .planning/codebase/ documentsFrom its SKILL.md

Install
npx -y skills add Enakoneschniy/claude-dev-stack --skill cds-map-codebase

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.5 KB, 552 tokens by cl100k_base, as published. Nobody here has run it

<objective> Analyze existing codebase using parallel gsd-codebase-mapper agents to produce structured codebase documents.

Each mapper agent explores a focus area and writes documents directly to .planning/codebase/. The orchestrator only receives confirmations, keeping context usage minimal.

Output: .planning/codebase/ folder with 7 structured documents about the codebase state. </objective>

<execution_context> @$HOME/.claude/cds-workflow/workflows/map-codebase.md </execution_context>

<context> Focus area: $ARGUMENTS (optional - if provided, tells agents to focus on specific subsystem)

Load project state if exists: Check for .planning/STATE.md - loads context if project already initialized

This command can run:

  • Before /cds-new-project (brownfield codebases) - creates codebase map first
  • After /cds-new-project (greenfield codebases) - updates codebase map as code evolves
  • Anytime to refresh codebase understanding </context>

<when_to_use> Use map-codebase for:

  • Brownfield projects before initialization (understand existing code first)
  • Refreshing codebase map after significant changes
  • Onboarding to an unfamiliar codebase
  • Before major refactoring (understand current state)
  • When STATE.md references outdated codebase info

Skip map-codebase for:

  • Greenfield projects with no code yet (nothing to map)
  • Trivial codebases (<5 files) </when_to_use>
<process> 1. Check if .planning/codebase/ already exists (offer to refresh or skip) 2. Create .planning/codebase/ directory structure 3. Spawn 4 parallel gsd-codebase-mapper agents: - Agent 1: tech focus → writes STACK.md, INTEGRATIONS.md - Agent 2: arch focus → writes ARCHITECTURE.md, STRUCTURE.md - Agent 3: quality focus → writes CONVENTIONS.md, TESTING.md - Agent 4: concerns focus → writes CONCERNS.md 4. Wait for agents to complete, collect confirmations (NOT document contents) 5. Verify all 7 documents exist with line counts 6. Commit codebase map 7. Offer next steps (typically: /cds-new-project or /cds-plan-phase) </process>

<success_criteria>

  • .planning/codebase/ directory created
  • All 7 codebase documents written by mapper agents
  • Documents follow template structure
  • Parallel agents completed without errors
  • User knows next steps </success_criteria>

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most architecture codebase skills give in 552 tokens

Counted across 811 of the 1,134 authors here whose files we hold, read 2026-08-07

  • Ask the user which candidate to explorein 45 of 811, across 15 files
  • Apply the deletion test to suspected shallow modulesin 43 of 811, across 15 files
  • Read any relevant architecture decision records firstin 31 of 811, across 8 files
  • Use exact glossary terms in every suggestionin 30 of 811, across 10 files
  • Accept dependencies instead of creating themin 24 of 811, across 5 files
  • Include before and after visualisations for each candidatein 24 of 811, across 5 files
  • Read the domain glossary before exploringin 24 of 811, across 6 files
  • Return results instead of producing side effectsin 23 of 811, across 4 files
  • Explore the codebase for shallow modules and frictionin 23 of 811, across 3 files
  • Introduce seams only where things varyin 22 of 811, across 3 files
  • Reduce the number of methodsin 21 of 811, across 2 files
  • Design deep modules with small interfacesin 21 of 811, across 3 files

Said here and by no other author read

  • Spawn four parallel mapper agents
  • Assign focus areas to each agent
  • Write documents directly to the output folder
  • Collect confirmations from agents
  • Verify all seven documents exist
  • Offer next steps to the user

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 326,834. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.