claudemap-runtime

ClaudeMap is a repo-to-architecture-map workflow.

High-level model:

• snapshot the repository
• ask @claudemap-architect to turn that snapshot into a detailed, human-legible graph
• render the graph in the bundled ClaudeMap UI
• keep the graph and presentation state updated as the user explores the codebase

Public commands:

• /setup-claudemap: build or rebuild the map for the current repository
• /open-claudemap: reopen the existing UI without rebuilding
• /create-map: create or refresh a scoped subsystem map from the current root graph
• /refresh: update the graph after code changes
• /explain: run a guided walkthrough through the live map
• /show: direct the live map for highlights, focus, presentation, and flows

If this skill is invoked directly, default to the setup workflow.

Target repository:

• If the user passed an argument to the invoked skill command, use $ARGUMENTS as the project root.
• If no argument was passed, use the current working directory.

Execution rules:

1. Resolve the bundled ClaudeMap workspace from ${CLAUDE_SKILL_DIR}.
2. Generate a raw repo snapshot by running ${CLAUDE_SKILL_DIR}/skill/commands/snapshot.js for the target project root.
3. Read ${CLAUDE_SKILL_DIR}/skill/prompts/enrichment.txt.
4. Use the @claudemap-architect subagent explicitly. Give it:
   • the raw snapshot JSON
   • the graph schema contract from the enrichment prompt
   • instructions to return only valid graph JSON
   • instructions to optimize for a detailed graph with intuitive human grouping
5. Wait for the subagent Task call to fully return, then save the returned JSON to ${CLAUDE_SKILL_DIR}/tmp/claudemap-enrichment.json. Do not run the setup JS command until after this file has been written with non-empty valid graph JSON. Do not run setup in parallel with the subagent call.
6. Run ${CLAUDE_SKILL_DIR}/skill/commands/setup-claudemap.js for the target project root with --enrichment-file ${CLAUDE_SKILL_DIR}/tmp/claudemap-enrichment.json. The setup command is strict: if the file is missing, empty, or unparseable it will exit non-zero and refuse to render a heuristic graph. Do not retry setup without fixing the enrichment file first.
7. Add --force-refresh only when the user explicitly asks for a fresh rebuild.
8. If the subagent fails to return valid JSON after two attempts, tell the user the architect pass failed and stop. Do not silently rerun setup without --enrichment-file — that would render a heuristic graph and pollute the cache. The user should rerun /setup-claudemap once the architect issue is resolved.
9. Let the bundled launcher start the app unless the user explicitly asks not to.
10. Summarize the analyzed file count, system count, graph source, render transport, and app readiness. Runtime graph outputs land in ${CLAUDE_SKILL_DIR}/app/public/graph/ (served by the bundled Vite app as /graph/*).
11. End the graph-generation flow with a short feedback prompt such as: Does this map look right, or should I refine it?
12. If the user says the map is good, stop there.
13. If the user asks for refinement, reuse the current target project's claudemap-cache.json graph and file snapshot as context when available instead of starting from a blank prompt again.
14. For refinement passes, send the existing graph plus the user's requested changes back through @claudemap-architect, save the refined JSON to ${CLAUDE_SKILL_DIR}/tmp/claudemap-enrichment.json, and run ${CLAUDE_SKILL_DIR}/skill/commands/refresh.js with --enrichment-file so the graph iterates in place.
15. After the refined graph renders, ask the same short feedback prompt again.

/create-map runs an architect-first scoped pipeline:

1. Resolve the target scope from the user's request (either a scope JSON payload copied from the UI, or a natural language description of a subsystem the architect should locate in the root graph).
2. Read ${CLAUDE_SKILL_DIR}/skill/prompts/scoped-enrichment.txt. This is a dedicated scoped prompt — do not reuse the root enrichment prompt.
3. Build a scoped snapshot by filtering the root graph's file list to the files inside the target subsystem. Include any prior scoped graph from the target map's cachePath when one exists so the architect can refine rather than rebuild.
4. Call the @claudemap-architect subagent with the scoped snapshot, the scoped prompt, and any user instructions. Instruct it to emit a richer internal breakdown (2-6 internal subsystems, tighter edges, function nodes welcome) and to decide between edit-in-place and rebuild based on the intent of the request.
5. Save the returned JSON to ${CLAUDE_SKILL_DIR}/tmp/claudemap-enrichment.json and run ${CLAUDE_SKILL_DIR}/skill/commands/create-map.js with --enrichment-file (plus --scope-json and optional --instructions). The command deletes the tmp file after it reads it.
6. If the architect pass fails, the command can still fall back to buildScopedGraphFromRoot by running without --enrichment-file, but warn the user the scoped map will be a plain filter view and suggest rerunning with architect enrichment for richer grouping.
7. After the scoped map renders, ask the same short feedback prompt (Does this map look right, or should I refine it?).
8. If the user asks for refinement, reuse the scoped map's own cache as prior graph context (via buildScopedSnapshot's priorGraph option) and rerun the architect. Save the refined JSON to the tmp file and rerun create-map.js with the same --scope-json payload plus --enrichment-file.
9. After the refined scoped graph renders, ask the same short feedback prompt again.