Query, inspect, or refresh codebase intelligence files in .planning/intel/
npx skills add https://github.com/coco-research/coco --skill gsd-intel
STOP -- DO NOT READ THIS FILE. You are already reading it. This prompt was injected into your context by Claude Code's command system. Using the Read tool on this file wastes tokens. Begin executing Step 0 immediately.
Before ANY tool calls, display this banner:
GSD > INTEL
Then proceed to Step 1.
Check if intel is enabled by reading .planning/config.json directly using the Read tool.
DO NOT use the gsd-tools config get-value command -- it hard-exits on missing keys.
.planning/config.json using the Read toolconfig.intel && config.intel.enabled === trueintel.enabled is NOT explicitly true: display the disabled message below and STOPintel.enabled is true: proceed to Step 2Disabled message:
GSD > INTEL
Intel system is disabled. To activate:
node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs config-set intel.enabled true
Then run /gsd-intel refresh to build the initial index.
Parse $ARGUMENTS to determine the operation mode:
| Argument | Action |
|----------|--------|
| query <term> | Run inline query (Step 2a) |
| status | Run inline status check (Step 2b) |
| diff | Run inline diff check (Step 2c) |
| refresh | Spawn intel-updater agent (Step 3) |
| No argument or unknown | Show usage message |
Usage message (shown when no argument or unrecognized argument):
GSD > INTEL
Usage: /gsd-intel <mode>
Modes:
query <term> Search intel files for a term
status Show intel file freshness and staleness
diff Show changes since last snapshot
refresh Rebuild all intel files from codebase analysis
Run:
node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs intel query <term>
Parse the JSON output and display results:
"disabled": true, display the disabled message from Step 1 and STOPNo intel matches for '<term>'. Try /gsd-intel refresh to build the index.STOP after displaying results. Do not spawn an agent.
Run:
node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs intel status
Parse the JSON output and display each intel file with:
updated_at timestampSTOP after displaying status. Do not spawn an agent.
Run:
node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs intel diff
Parse the JSON output and display:
If no snapshot exists, suggest running refresh first.
STOP after displaying diff. Do not spawn an agent.
Display before spawning:
GSD > Spawning intel-updater agent to analyze codebase...
Spawn a Task:
Task(
description="Refresh codebase intelligence files",
prompt="You are the gsd-intel-updater agent. Your job is to analyze this codebase and write/update intelligence files in .planning/intel/.
Project root: ${CWD}
gsd-tools path: $HOME/.claude/get-shit-done/bin/gsd-tools.cjs
Instructions:
1. Analyze the codebase structure, dependencies, APIs, and architecture
2. Write JSON intel files to .planning/intel/ (stack.json, api-map.json, dependency-graph.json, file-roles.json, arch-decisions.json)
3. Each file must have a _meta object with updated_at timestamp
4. Use gsd-tools intel extract-exports <file> to analyze source files
5. Use gsd-tools intel patch-meta <file> to update timestamps after writing
6. Use gsd-tools intel validate to check your output
When complete, output: ## INTEL UPDATE COMPLETE
If something fails, output: ## INTEL UPDATE FAILED with details."
)
Wait for the agent to complete.
After the agent completes, run:
node $HOME/.claude/get-shit-done/bin/gsd-tools.cjs intel status
Display a summary showing:
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.
Multi-agent workflow examples to work together on the OpenServ Platform. Covers agent discovery, multi-agent workspaces, task dependencies, and workflow orchestration using the Platform Client. Read reference.md for the full API reference. Read openserv-agent-sdk and openserv-client for building and running agents.
> Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md.
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.
Groups existing components into logical business domains to plan service-based architecture. Use when asking "which components belong together?", "group these into services", "organize by domain", "component-to-domain mapping", or planning service extraction from an existing codebase. Do NOT use for identifying new domains from scratch (use domain-analysis) or analyzing coupling (use coupling-analysis).
Take coco-research/gsd-intel from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.