understand-domain
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 / Use
npx skills add Egonex-AI/Understand-Anything --skill understand-domainInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of understand-domain
understand-domain scores 97/100 on our quality scale, 27th of 1,453 Development & Engineering skills we index (top 2%).
Its SKILL.md is 9.5 KB long, well organised into 10 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.
With 84,018 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 12 days ago, so understand-domain is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
understand-domain compared with similar skills
All 4 of these similar skills score higher than understand-domain; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| understand-domain (this skill)by Egonex-AI | 97 | 84.0k | 12d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 43.9k | 3d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | 5d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 2d ago | SKILL.md |
Frequently asked questions
- How do I install understand-domain?
- Run
npx skills add Egonex-AI/Understand-Anything --skill understand-domain. The install tabs above show the steps for each supported agent. - Which AI agents does understand-domain work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is understand-domain safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is understand-domain still maintained?
- The repository was last updated 12 days ago, so understand-domain is actively maintained.
Skill content
View source on GitHubname: 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.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.
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
- 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: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.
- Read
- 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
$PROJECT_ROOTfrom Phase 0:
This outputspython ./extract-domain-context.py "$PROJECT_ROOT"$UA_DIR/intermediate/domain-context.jsoncontaining:- 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.)
- File tree (respecting
- 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
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
