GS

gsd-ns-context

Automates the mapping of complex codebase documentation and knowledge graphs.

Install

mkdir -p .claude/skills/gsd-ns-context && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/12824" && unzip -o skill.zip -d .claude/skills/gsd-ns-context && rm skill.zip

Installs to .claude/skills/gsd-ns-context

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

codebase intelligence | map graphify docs learnings
51 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Map full codebase structure
  • Perform quick lightweight codebase scans
  • Query mapped intelligence files
  • Generate knowledge graphs
  • Update project documentation
  • Extract learnings from completed phases

How it works

The skill routes user intent to the appropriate codebase-intelligence skill based on keywords, invoking the matched skill directly.

Inputs & outputs

You give it
User intent for codebase intelligence (e.g., map structure, query files, update docs)
You get back
Invocation of the matched codebase intelligence skill (e.g., `gsd-map-codebase`, `gsd-graphify`)

When to use gsd-ns-context

  • Map knowledge base
  • Analyze documentation structure
  • Graphify project insights

About this skill

<codex_skill_adapter>

A. Skill Invocation

  • This skill is invoked by mentioning $gsd-ns-context.
  • Treat all user text after $gsd-ns-context 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:

  • headerheader
  • questionquestion
  • 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 or unavailable, activate TEXT_MODE: append --text to {{GSD_ARGS}} so the workflow's built-in text-mode branching takes over. Present every AskUserQuestion call as a plain-text numbered list, then stop and wait for the user's reply. Do NOT pick a default and continue (#3018 / #3808).
  • You may only proceed without a user answer when one of these is true: (a) the invocation included an explicit non-interactive flag (--auto or --all), (b) the user has explicitly approved a specific default for this question, or (c) the workflow's documented contract says defaults are safe (e.g. autonomous lifecycle paths).
  • Do NOT write workflow artifacts (CONTEXT.md, DISCUSSION-LOG.md, PLAN.md, checkpoint files) until the user has answered the plain-text questions or one of (a)-(c) above applies. Surfacing the questions and waiting is the correct response — silently defaulting and writing artifacts is the #3018 failure mode.

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")
  • Agent(subagent_type="X", prompt="Y")spawn_agent(agent_type="X", message="Y")
  • Task(model="...") → omit. spawn_agent has no inline model parameter; GSD embeds the resolved per-agent model directly into each agent's .toml at install time so model_overrides from .planning/config.json and ~/.gsd/defaults.json are honored automatically by Codex's agent router.
  • Resolved reasoning_effort="low|medium|high|xhigh" (xhigh is a GSD/Codex tier, not a generic runtime enum) → pass reasoning_effort to spawn_agent when the runtime/tool supports it. Omit missing, empty, inherited, or unsupported values; do not invent one-off effort literals in workflow prose.
  • fork_context: false by default — GSD agents load their own context via <files_to_read> blocks
  • Task(isolation="worktree") / Agent(isolation="worktree") → no direct Codex mapping. Codex spawn_agent does not create or bind a git worktree automatically. Workflows that require this isolation must fail closed or use an explicit manual worktree protocol before spawning (#3360).

Spawn restriction:

  • Codex restricts spawn_agent to cases where the user has explicitly requested sub-agents. When automatic spawning is not permitted, do the work inline in the current agent rather than attempting to force a spawn.
  • In some Codex sessions, multi-agent tooling can be deferred. If spawn_agent is not currently visible, discover tools first via tool_search before defaulting to inline execution.

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>

Route to the appropriate codebase-intelligence skill based on the user's intent. gsd-scan and gsd-intel were folded into gsd-map-codebase flags by #2790.

User wantsInvoke
Map the full codebase structuregsd-map-codebase
Quick lightweight codebase scangsd-map-codebase --fast
Query mapped intelligence filesgsd-map-codebase --query
Generate a knowledge graphgsd-graphify
Update project documentationgsd-docs-update
Extract learnings from a completed phasegsd-extract-learnings

Invoke the matched skill directly using the Skill tool.

When not to use it

  • When `request_user_input` is rejected or unavailable and an explicit non-interactive flag is not set

Limitations

  • Codex `spawn_agent` does not create or bind a git worktree automatically for `isolation="worktree"`
  • Multi-agent tooling can be deferred if `spawn_agent` is not currently visible

How it compares

This skill acts as a router for various codebase intelligence tasks, centralizing access to different functionalities rather than requiring manual selection of individual tools.

Compared to similar skills

gsd-ns-context side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
gsd-ns-context (this skill)02moNo flagsIntermediate
react-expert86moReviewAdvanced
rust-learner86moReviewBeginner
cartographer36moReviewIntermediate

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