lum1104/understand-anything/understand-domain
Claude Code and agent skill by lum1104/understand-anything
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Checking that the SKILL.md file is still in the repository.
Extract business domain knowledge from a codebase and generate an interactive domain flow graph. Works standalone (lightweight scan) or derives from an existing /understand knowledge graph.
Install
npx vskill@latest install lum1104/understand-anything/understand-domainSKILL.md
/understand-domain
Extracts business domain knowledge — domains, business flows, and process steps — from a codebase and produces an interactive horizontal flow graph in the dashboard.
How It Works
- If a knowledge graph already exists (
.ua/knowledge-graph.json, or the legacy.understand-anything/knowledge-graph.jsonwhen that directory is present), derives domain knowledge from it (cheap, no file scanning) - If no knowledge graph exists, performs a lightweight scan: file tree + entry point detection + sampled files
- Use
--fullflag to force a fresh scan even if a knowledge graph exists
Instructions
Phase 0: Resolve PROJECT_ROOT
Set PROJECT_ROOT to the current working directory.
Worktree redirect. If PROJECT_ROOT is inside a git worktree (not the main checkout), redirect output to the main repository root. Worktrees managed by Claude Code are ephemeral — the data directory (.ua/, or legacy .understand-anything/) written there is destroyed when the session ends, taking the domain graph with it (issue #133). Detect a worktree by comparing git rev-parse --git-dir against git rev-parse --git-common-dir; in a normal checkout or submodule they resolve to the same path, in a worktree they differ and the parent of --git-common-dir is the main repo root.
Use $PROJECT_ROOT (not the bare CWD) for every reference to "the current project" / <project-root> in subsequent phases.
Resolve the data directory `$UA_DIR`. All Understand-Anything artifacts live in the project's data directory. Resolve it once, now that $PROJECT_ROOT is known, and reuse $UA_DIR for every read and write in later phases:
This keeps the legacy .understand-anything/ directory when it already exists (existing projects keep working with no migration) and uses the new .ua/ otherwise. Because each phase may run in a fresh shell, carry $UA_DIR forward like $PROJECT_ROOT, re-resolving it with the line above if a later command block needs it.
Important: do not assume the plugin root is simply two directories above the skill path string. In many installations ~/.agents/skills/understand-domain is a symlink into the real plugin checkout. Prefer runtime-provided plugin roots first (for Claude), then fall back to universal symlinks, skill symlink resolution, and common clone-based install paths.
Resolve the plugin root like this:
Use $PLUGIN_ROOT for every reference to agent definitions in subsequent phases.
Phase 1: Detect Existing Graph
- Check if
$UA_DIR/knowledge-graph.jsonexists - If it exists AND
--fullwas NOT passed, check freshness before deriving from it:
- Read
project.gitCommitHashfrom the graph metadata asGRAPH_COMMIT_RAW. Change to$PROJECT_ROOT, resolve it as a commit before using it in any Git diff, compare the resolved commit withgit rev-parse HEAD, and inspect project-scoped committed and working-tree changes:
``bash GRAPH_COMMIT=$(git rev-parse --verify --end-of-options "${GRAPH_COMMIT_RAW}^{commit}" 2>/dev/null) git rev-parse HEAD git diff --name-only "$GRAPH_COMMIT" HEAD -- . git diff --cached --name-only -- . git diff --name-only -- . git ls-files --others --exclude-standard -- . ``
- The
-- .pathspec is required: commits that only touch a sibling monorepo project must not make this graph stale. A hash mismatch alone is not stale when the project diff is empty. - Ignore the selected data directory (
.ua/or legacy.understand-anything/) in every command's output because it contains generated graph artifacts, not project source drift. - If the committed diff or any working-tree command reports project files, warn that domain extraction may omit those changes. Suggest: Run
/understandto refresh the knowledge graph. - Run the commit diff only when
GRAPH_COMMIT_RAWresolves successfully. If the graph commit or Git metadata is missing, invalid, or unavailable, give a brief best-effort warning and continue instead of blocking.
- After that preflight, proceed to Phase 3 (derive from graph).
- Otherwise, proceed to Phase 2 (lightweight scan). When
--fullis used, skip this preflight because the command performs a fresh scan instead of consuming the existing graph.
Phase 2: Lightweight Scan (Path 1)
The preprocessing script does NOT produce a domain graph — it produces raw material (file tree, entry points, exports/imports) so the domain-analyzer agent can focus on the actual domain analysis instead of spending dozens of tool calls exploring the codebase. Think of it as a cheat sheet: cheap Python preprocessing → expensive LLM gets a clean, small input → better results for less cost.
- Run the preprocessing script bundled with this skill, passing
$PROJECT_ROOTfrom Phase 0:
`` python ./extract-domain-context.py "$PROJECT_ROOT" ` This outputs $UA_DIR/intermediate/domain-context.json` containing:
- File tree (respecting
.gitignore) - Detected entry points (HTTP routes, CLI commands, event handlers, cron jobs, exported handlers)
- File signatures (exports, imports per file)
- Code snippets for each entry point (signature + first few lines)
- Project metadata (package.json, README, etc.)
- Read the generated
domain-context.jsonas context for Phase 4 - Proceed to Phase 4
Phase 3: Derive from Existing Graph (Path 2)
- Read
$UA_DIR/knowledge-graph.json - Format the graph data as structured context:
- All nodes with their types, names, summaries, and tags
- All edges with their types (especially
calls,imports,contains) - All layers with their descriptions
- Tour steps if available
- This is the context for the domain analyzer — no file reading needed
- Proceed to Phase 4
Phase 4: Domain Analysis
- Read the domain-analyzer agent prompt from
$PLUGIN_ROOT/agents/domain-analyzer.md - Dispatch a subagent with the domain-analyzer prompt + the context from Phase 2 or 3
- The agent writes its output to
$UA_DIR/intermediate/domain-analysis.json
Phase 5: Validate and Save
- Read the domain analysis output
- Validate using the standard graph validation pipeline (the schema now supports domain/flow/step types)
- If validation fails, log warnings but save what's valid (error tolerance)
- Save to
$UA_DIR/domain-graph.json - Clean up
$UA_DIR/intermediate/domain-analysis.jsonand$UA_DIR/intermediate/domain-context.json
Phase 6: Launch Dashboard
- Auto-trigger
/understand-dashboardto visualize the domain graph - The dashboard will detect
domain-graph.jsonand show the domain view by default
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingunderstand-anything-plugin/skills/understand-domain/SKILL.md
Popularity
- Repository stars
- 75,097
- Repository forks
- 6,251
- 7-day trend score
- 56
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 6 Oct 2026, 26 days ago.
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