understand-domain
Skill1 starsChanged 4 months agoMITView on GitHub
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.
We split this skill into the rules it gives an agent
15 rules. About 0 are common, 5 are distinctive, and 10 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
10
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 13
If a knowledge graph already exists (.understand-anything/knowledge-graph.json), derives domain knowledge from it (cheap, no file scanning)
- Distinctive: line 14
If no knowledge graph exists, performs a lightweight scan: file tree + entry point detection + sampled files
- Very specific: line 15
Use --full flag to force a fresh scan even if a knowledge graph exists
- Very specific: line 43
Use $PROJECT_ROOT (not the bare CWD) for every reference to "the current project" / <project-root> in subsequent phases.
- Very specific: line 87
Use $PLUGIN_ROOT for every reference to agent definitions in subsequent phases.
- Very specific: line 91
Check if $PROJECT_ROOT/.understand-anything/knowledge-graph.json exists
- Very specific: line 92
If it exists AND --full was NOT passed → proceed to Phase 3 (derive from graph)
- Very specific: line 99
Run the preprocessing script bundled with this skill, passing $PROJECT_ROOT from Phase 0:
- Very specific: line 109
Read the generated domain-context.json as context for Phase 4
- Distinctive: line 116
All nodes with their types, names, summaries, and tags
- Very specific: line 117
All edges with their types (especially calls, imports, contains)
- Distinctive: line 118
All layers with their descriptions
- Very specific: line 125
Read the domain-analyzer agent prompt from $PLUGIN_ROOT/agents/domain-analyzer.md
- Distinctive: line 131
Read the domain analysis output
- Distinctive: line 133
If validation fails, log warnings but save what's valid (error tolerance)
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
/understand-domain
Extracts business domain knowledge — domains, business flows, and process steps — from a codebase and produces an interactive horizontal flow graph in the dashboard.
How It Works
- If a knowledge graph already exists (
.understand-anything/knowledge-graph.json), derives domain knowledge from it (cheap, no file scanning) - If no knowledge graph exists, performs a lightweight scan: file tree + entry point detection + sampled files
- Use
--fullflag to force a fresh scan even if a knowledge graph exists
Instructions
Phase 0: Resolve PROJECT_ROOT
Set PROJECT_ROOT to the current working directory.
Worktree redirect. If PROJECT_ROOT is inside a git worktree (not the main checkout), redirect output to the main repository root. Worktrees managed by Claude Code are ephemeral — .understand-anything/ written there is destroyed when the session ends, taking the domain graph with it (issue #133). Detect a worktree by comparing git rev-parse --git-dir against git rev-parse --git-common-dir; in a normal checkout or submodule they resolve to the same path, in a worktree they differ and the parent of --git-common-dir is the main repo root.
COMMON_DIR=$(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
fiUse $PROJECT_ROOT (not the bare CWD) for every reference to "the current project" / <project-root> in subsequent phases.
Important: do not assume the plugin root is simply two directories above the skill path string. In many installations ~/.agents/skills/understand-domain is a symlink into the real plugin checkout. Prefer runtime-provided plugin roots first (for Claude), then fall back to universal symlinks, skill symlink resolution, and common clone-based install paths.
Resolve the plugin root like this:
SKILL_REAL=$(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
fiUse $PLUGIN_ROOT for every reference to agent definitions in subsequent phases.
Phase 1: Detect Existing Graph
- Check if
$PROJECT_ROOT/.understand-anything/knowledge-graph.jsonexists - If it exists AND
--fullwas NOT passed → proceed to Phase 3 (derive from graph) - Otherwise → proceed to Phase 2 (lightweight scan)
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"$PROJECT_ROOT/.understand-anything/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
$PROJECT_ROOT/.understand-anything/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
$PROJECT_ROOT/.understand-anything/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
$PROJECT_ROOT/.understand-anything/domain-graph.json - Clean up
$PROJECT_ROOT/.understand-anything/intermediate/domain-analysis.jsonand$PROJECT_ROOT/.understand-anything/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
Other versions2 projects use a version of this.
Word for word · 2
- karanmrn/claude-skills★ 0100% same
- Pdbjork/hermosskills-site★ 0100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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