gsd-map-codebase

name	gsd-map-codebase
description	Analyze codebase with parallel mapper agents to produce .planning/codebase/ documents
metadata	{"short-description":"Analyze codebase with parallel mapper agents to produce .planning/codebase/ documents"}

<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>

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.

<execution_context> @/Users/teo/src/tempo/.codex/get-shit-done/workflows/map-codebase.md </execution_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

<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>

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)

<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>