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.zipInstalls 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 learningsKey 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
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-contextas{{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→headerquestion→question- Options formatted as
"Label" — description→{label: "Label", description: "description"} - Generate
idfrom header: lowercase, replace spaces with underscores
Batched calls:
AskUserQuestion([q1, q2])→ singlerequest_user_inputwith multiple entries inquestions[]
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_inputis rejected or unavailable, activate TEXT_MODE: append--textto{{GSD_ARGS}}so the workflow's built-in text-mode branching takes over. Present everyAskUserQuestioncall 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 (
--autoor--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_agenthas no inlinemodelparameter; GSD embeds the resolved per-agent model directly into each agent's.tomlat install time somodel_overridesfrom.planning/config.jsonand~/.gsd/defaults.jsonare honored automatically by Codex's agent router.- Resolved
reasoning_effort="low|medium|high|xhigh"(xhighis a GSD/Codex tier, not a generic runtime enum) → passreasoning_efforttospawn_agentwhen the runtime/tool supports it. Omit missing, empty, inherited, or unsupported values; do not invent one-off effort literals in workflow prose. fork_context: falseby default — GSD agents load their own context via<files_to_read>blocksTask(isolation="worktree")/Agent(isolation="worktree")→ no direct Codex mapping. Codexspawn_agentdoes 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_agentto 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_agentis not currently visible, discover tools first viatool_searchbefore 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 wants | Invoke |
|---|---|
| Map the full codebase structure | gsd-map-codebase |
| Quick lightweight codebase scan | gsd-map-codebase --fast |
| Query mapped intelligence files | gsd-map-codebase --query |
| Generate a knowledge graph | gsd-graphify |
| Update project documentation | gsd-docs-update |
| Extract learnings from a completed phase | gsd-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.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| gsd-ns-context (this skill) | 0 | 2mo | No flags | Intermediate |
| react-expert | 8 | 6mo | Review | Advanced |
| rust-learner | 8 | 6mo | Review | Beginner |
| cartographer | 3 | 6mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
You might also like
react-expert
reactjs
Use when researching React APIs or concepts for documentation. Use when you need authoritative usage examples, caveats, warnings, or errors for a React feature.
rust-learner
actionbook
Use when asking about Rust versions or crate info. Keywords: latest version, what's new, changelog, Rust 1.x, Rust release, stable, nightly, crate info, crates.io, lib.rs, docs.rs, API documentation, crate features, dependencies, which crate, what version, Rust edition, edition 2021, edition 2024, cargo add, cargo update, 最新版本, 版本号, 稳定版, 最新, 哪个版本, crate 信息, 文档, 依赖, Rust 版本, 新特性, 有什么特性
cartographer
kingbootoshi
Maps and documents codebases of any size by orchestrating parallel subagents. Creates docs/CODEBASE_MAP.md with architecture, file purposes, dependencies, and navigation guides. Updates CLAUDE.md with a summary. Use when user says "map this codebase", "cartographer", "/cartographer", "create codebase map", "document the architecture", "understand this codebase", or when onboarding to a new project. Automatically detects if map exists and updates only changed sections.
repo-research-analyst
parcadei
Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase
exploring-rust-crates
hashintel
Generate Rust documentation to understand crate APIs, structure, and usage. Use when exploring Rust code, understanding crate organization, finding functions/types/traits, or needing context about a Rust package in the HASH workspace.
investigation
talmolab
Scaffolds a structured investigation in scratch/ for empirical research and documentation. Use when the user says "start an investigation" or wants to: trace code paths or data flow ("trace from X to Y", "what touches X", "follow the wiring"), document system architecture comprehensively ("document how the system works", "archeology"), investigate bugs ("figure out why X happens"), explore technical feasibility ("can we do X?"), or explore design options ("explore the API", "gather context", "design alternatives"). Creates dated folder with README. NOT for simple code questions or single-file searches.