PluginBench
Skill
Pass
Audit score 90

understand-domain

egonex-ai/understand-anything

Extract business domain knowledge from a codebase and generate interactive domain flow graphs.

What is understand-domain?

Analyzes a codebase to identify business domains, flows, and process steps, then visualizes them as an interactive horizontal flow graph in the dashboard. Works standalone via lightweight file scanning or by deriving from an existing knowledge graph for faster results.

  • Extracts business domains, flows, and process steps from codebases
  • Generates interactive horizontal flow graphs for visualization
  • Derives domain knowledge from existing knowledge graphs (fast path) or performs lightweight file scanning
  • Detects entry points and samples files for domain analysis
  • Handles git worktrees by redirecting output to main repository root
  • Supports --full flag to force fresh scan even with existing knowledge graph

How to install understand-domain

npx skills add https://github.com/egonex-ai/understand-anything --skill understand-domain
Prerequisites
  • Python installed (for preprocessing script)
  • Git repository initialized in the project
  • Optionally: existing knowledge graph from /understand skill for faster processing
Claude Code
Cursor
Windsurf
Cline

How to use understand-domain

  1. 1.Run the skill with optional --full flag to force fresh scan: npx skills run understand-domain [--full]
  2. 2.The skill checks for existing knowledge graph; if found and fresh, derives domain knowledge from it (faster)
  3. 3.If no graph exists or --full is used, performs lightweight scan of file tree and entry points
  4. 4.Review the generated interactive domain flow graph in the dashboard
  5. 5.Use the visualization to understand business domains and process flows in your codebase

Use cases

Good for
  • Understand the business logic and domain structure of an unfamiliar codebase
  • Visualize how different business processes flow through an application
  • Generate documentation of domain concepts and their relationships
  • Onboard new team members by showing domain architecture visually
  • Identify domain boundaries in monorepo or multi-project setups
Who it's for
  • Backend developers learning a new codebase
  • Technical leads documenting system architecture
  • Teams building domain-driven design systems
  • Developers working with monorepos or complex project structures

understand-domain FAQ

What's the difference between running with and without --full?

Without --full, the skill reuses an existing knowledge graph if available (fast). With --full, it performs a fresh scan even if a graph exists, useful when you've made significant code changes.

Why does the skill redirect output when in a git worktree?

Worktrees managed by Claude Code are ephemeral and destroyed when the session ends. Redirecting to the main repo root ensures the domain graph persists across sessions.

Do I need to run /understand first?

No, understand-domain works standalone. However, if you've already run /understand, it will reuse that knowledge graph for faster results.

What if my project structure is unusual?

The lightweight scan detects entry points and samples files intelligently. If results seem incomplete, use --full to force a fresh comprehensive scan.

Can I use this with monorepos?

Yes. The skill uses pathspec filtering (-- .) to only analyze the current project scope, ignoring sibling projects in monorepos.

Full instructions (SKILL.md)

Source of truth, from egonex-ai/understand-anything.


name: understand-domain description: 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. argument-hint: "[--full]"

/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.json when 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 --full flag 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.

COMMON_DIR=$(git -C "$PROJECT_ROOT" rev-parse --git-common-dir 2>/dev/null)
GIT_DIR=$(git -C "$PROJECT_ROOT" rev-parse --git-dir 2>/dev/null)
if [ -n "$COMMON_DIR" ] && [ -n "$GIT_DIR" ]; then
  COMMON_ABS=$(cd "$PROJECT_ROOT" && cd "$COMMON_DIR" 2>/dev/null && pwd -P)
  GIT_ABS=$(cd "$PROJECT_ROOT" && cd "$GIT_DIR" 2>/dev/null && pwd -P)
  if [ -n "$COMMON_ABS" ] && [ "$COMMON_ABS" != "$GIT_ABS" ]; then
    MAIN_ROOT=$(dirname "$COMMON_ABS")
    if [ -d "$MAIN_ROOT" ] && [ "${UNDERSTAND_NO_WORKTREE_REDIRECT:-0}" != "1" ]; then
      echo "[understand-domain] Detected git worktree at $PROJECT_ROOT"
      echo "[understand-domain] Redirecting output to main repo root: $MAIN_ROOT"
      echo "[understand-domain] (Set UNDERSTAND_NO_WORKTREE_REDIRECT=1 to keep PROJECT_ROOT as the worktree.)"
      PROJECT_ROOT="$MAIN_ROOT"
    fi
  fi
fi

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:

UA_DIR="$PROJECT_ROOT/$([ -d "$PROJECT_ROOT/.understand-anything" ] && echo .understand-anything || echo .ua)"

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:

SKILL_REAL=$(realpath ~/.agents/skills/understand-domain 2>/dev/null || readlink -f ~/.agents/skills/understand-domain 2>/dev/null || echo "")
SELF_RELATIVE=$([ -n "$SKILL_REAL" ] && cd "$SKILL_REAL/../.." 2>/dev/null && pwd || echo "")
COPILOT_SKILL_REAL=$(realpath ~/.copilot/skills/understand-domain 2>/dev/null || readlink -f ~/.copilot/skills/understand-domain 2>/dev/null || echo "")
COPILOT_SELF_RELATIVE=$([ -n "$COPILOT_SKILL_REAL" ] && cd "$COPILOT_SKILL_REAL/../.." 2>/dev/null && pwd || echo "")

PLUGIN_ROOT=""
for candidate in \
  "${CLAUDE_PLUGIN_ROOT}" \
  "$HOME/.understand-anything-plugin" \
  "$SELF_RELATIVE" \
  "$COPILOT_SELF_RELATIVE" \
  "$HOME/.codex/understand-anything/understand-anything-plugin" \
  "$HOME/.opencode/understand-anything/understand-anything-plugin" \
  "$HOME/.pi/understand-anything/understand-anything-plugin" \
  "$HOME/understand-anything/understand-anything-plugin"; do
  if [ -n "$candidate" ] && [ -f "$candidate/package.json" ] && [ -f "$candidate/pnpm-workspace.yaml" ]; then
    PLUGIN_ROOT="$candidate"
    break
  fi
done

if [ -z "$PLUGIN_ROOT" ]; then
  echo "Error: Cannot find the understand-anything plugin root."
  echo "Checked:"
  echo "  - ${CLAUDE_PLUGIN_ROOT:-<unset CLAUDE_PLUGIN_ROOT>}"
  echo "  - $HOME/.understand-anything-plugin"
  echo "  - ${SELF_RELATIVE:-<unresolved path derived from ~/.agents/skills/understand-domain>}"
  echo "  - ${COPILOT_SELF_RELATIVE:-<unresolved path derived from ~/.copilot/skills/understand-domain>}"
  echo "  - $HOME/.codex/understand-anything/understand-anything-plugin"
  echo "  - $HOME/.opencode/understand-anything/understand-anything-plugin"
  echo "  - $HOME/.pi/understand-anything/understand-anything-plugin"
  echo "  - $HOME/understand-anything/understand-anything-plugin"
  echo "Make sure the plugin is installed correctly."
  exit 1
fi

Use $PLUGIN_ROOT for every reference to agent definitions in subsequent phases.

Phase 1: Detect Existing Graph

  1. Check if $UA_DIR/knowledge-graph.json exists
  2. If it exists AND --full was NOT passed, check freshness before deriving from it:
    • Read project.gitCommitHash from the graph metadata as GRAPH_COMMIT_RAW. Change to $PROJECT_ROOT, resolve it as a commit before using it in any Git diff, compare the resolved commit with git rev-parse HEAD, and inspect project-scoped committed and working-tree changes:
      GRAPH_COMMIT=$(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 /understand to refresh the knowledge graph.
    • Run the commit diff only when GRAPH_COMMIT_RAW resolves successfully. If the graph commit or Git metadata is missing, invalid, or unavailable, give a brief best-effort warning and continue instead of blocking.
  3. After that preflight, proceed to Phase 3 (derive from graph).
  4. Otherwise, proceed to Phase 2 (lightweight scan). When --full is 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.

  1. Run the preprocessing script bundled with this skill, passing $PROJECT_ROOT from Phase 0:
    python ./extract-domain-context.py "$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.)
  2. Read the generated domain-context.json as context for Phase 4
  3. Proceed to Phase 4

Phase 3: Derive from Existing Graph (Path 2)

  1. Read $UA_DIR/knowledge-graph.json
  2. 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
  3. This is the context for the domain analyzer — no file reading needed
  4. Proceed to Phase 4

Phase 4: Domain Analysis

  1. Read the domain-analyzer agent prompt from $PLUGIN_ROOT/agents/domain-analyzer.md
  2. Dispatch a subagent with the domain-analyzer prompt + the context from Phase 2 or 3
  3. The agent writes its output to $UA_DIR/intermediate/domain-analysis.json

Phase 5: Validate and Save

  1. Read the domain analysis output
  2. Validate using the standard graph validation pipeline (the schema now supports domain/flow/step types)
  3. If validation fails, log warnings but save what's valid (error tolerance)
  4. Save to $UA_DIR/domain-graph.json
  5. Clean up $UA_DIR/intermediate/domain-analysis.json and $UA_DIR/intermediate/domain-context.json

Phase 6: Launch Dashboard

  1. Auto-trigger /understand-dashboard to visualize the domain graph
  2. The dashboard will detect domain-graph.json and show the domain view by default