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gsd-map-codebase

Analyze codebase with parallel mapper agents to produce .planning/codebase/ documents

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<codex_skill_adapter>

A. Skill Invocation

  • This skill is invoked by mentioning $gsd-map-codebase.
  • Treat all user text after $gsd-map-codebase as {{GSD_ARGS}}.
  • If no arguments are present, treat {{GSD_ARGS}} as empty.

B. AskUserQuestion → request_user_input Mapping

GSD workflows use AskUserQuestion (Claude Code syntax). Translate to Codex request_user_input:

Parameter mapping:

  • header → header
  • question → question
  • Options formatted as "Label" — description → {label: "Label", description: "description"}
  • Generate id from header: lowercase, replace spaces with underscores

Batched calls:

  • AskUserQuestion([q1, q2]) → single request_user_input with multiple entries in questions[]

Multi-select workaround:

  • Codex has no multiSelect. Use sequential single-selects, or present a numbered freeform list asking the user to enter comma-separated numbers.

Execute mode fallback:

  • When request_user_input is rejected (Execute mode), present a plain-text numbered list and pick a reasonable default.

C. Task() → spawn_agent Mapping

GSD workflows use Task(...) (Claude Code syntax). Translate to Codex collaboration tools:

Direct mapping:

  • Task(subagent_type="X", prompt="Y") → spawn_agent(agent_type="X", message="Y")
  • Task(model="...") → omit (Codex uses per-role config, not inline model selection)
  • fork_context: false by default — GSD agents load their own context via <files_to_read> blocks

Parallel fan-out:

  • Spawn multiple agents → collect agent IDs → wait(ids) for all to complete

Result parsing:

  • Look for structured markers in agent output: CHECKPOINT, PLAN COMPLETE, SUMMARY, etc.
  • close_agent(id) after collecting results from each agent </codex_skill_adapter>
<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> @/Users/gabrielwillen/VSCode/stateforward/emel/emel.cpp/.codex/get-shit-done/workflows/map-codebase.md </execution_context>

<context> Focus area: {{GSD_ARGS}} (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 $gsd-new-project (brownfield codebases) - creates codebase map first
  • After $gsd-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: $gsd-new-project or $gsd-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>

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