/understand

Analyze the current codebase and produce a knowledge-graph.json file in .understand-anything/. This file powers the interactive dashboard for exploring the project's architecture.

Options

• $ARGUMENTS may contain:
  • --full — Force a full rebuild, ignoring any existing graph
  • A directory path — Scope analysis to a specific subdirectory

Phase 0 — Pre-flight

Determine whether to run a full analysis or incremental update.

1. Set PROJECT_ROOT to the current working directory.

2. Get the current git commit hash:

   git rev-parse HEAD
   

3. Create the intermediate output directory:

   mkdir -p $PROJECT_ROOT/.understand-anything/intermediate
   

4. Check if $PROJECT_ROOT/.understand-anything/knowledge-graph.json exists. If it does, read it.

5. Check if $PROJECT_ROOT/.understand-anything/meta.json exists. If it does, read it to get gitCommitHash.

6. Decision logic:

   Condition	Action
   --full flag in $ARGUMENTS	Full analysis (all phases)
   No existing graph or meta	Full analysis (all phases)
   Existing graph + unchanged commit hash	Report "Graph is up to date" and STOP
   Existing graph + changed files	Incremental update (re-analyze changed files only)

   For incremental updates, get the changed file list:

   git diff <lastCommitHash>..HEAD --name-only
   

   If this returns no files, report "Graph is up to date" and STOP.

7. Collect project context for subagent injection:

   • Read README.md (or README.rst, readme.md) from $PROJECT_ROOT if it exists. Store as $README_CONTENT (first 3000 characters).
   • Read the primary package manifest (package.json, pyproject.toml, Cargo.toml, go.mod, pom.xml) if it exists. Store as $MANIFEST_CONTENT.
   • Capture the top-level directory tree:

     find $PROJECT_ROOT -maxdepth 2 -type f -not -path '*/node_modules/*' -not -path '*/.git/*' -not -path '*/dist/*' | head -100
     

     Store as $DIR_TREE.
   • Detect the project entry point by checking for common patterns: src/index.ts, src/main.ts, src/App.tsx, main.py, main.go, src/main.rs, index.js. Store first match as $ENTRY_POINT.

Phase 1 — SCAN (Full analysis only)

Dispatch a subagent using the prompt template at ./project-scanner-prompt.md. Read the template file and pass the full content as the subagent's prompt, appending the following additional context:

Additional context from main session:

Project README (first 3000 chars):

$README_CONTENT

Package manifest:

$MANIFEST_CONTENT

Use this context to produce more accurate project name, description, and framework detection. The README and manifest are authoritative — prefer their information over heuristics.

Pass these parameters in the dispatch prompt:

Scan this project directory to discover all source files, detect languages and frameworks. Project root: $PROJECT_ROOT Write output to: $PROJECT_ROOT/.understand-anything/intermediate/scan-result.json

After the subagent completes, read $PROJECT_ROOT/.understand-anything/intermediate/scan-result.json to get:

• Project name, description
• Languages, frameworks
• File list with line counts
• Complexity estimate

Gate check: If >200 files, inform the user and suggest scoping with a subdirectory argument. Proceed only if user confirms or add guidance that this may take a while.

Phase 2 — ANALYZE

Full analysis path

Batch the file list from Phase 1 into groups of 5-10 files each (aim for balanced batch sizes).

For each batch, dispatch a subagent using the prompt template at ./file-analyzer-prompt.md. Run up to 3 subagents concurrently using parallel dispatch. Read the template once, then for each batch pass the full template content as the subagent's prompt, appending the following additional context:

Additional context from main session:

Project: <projectName> — <projectDescription> Frameworks detected: <frameworks from Phase 1> Languages: <languages from Phase 1>

Framework-specific guidance:

• If React/Next.js: files in app/ or pages/ are routes, components/ are UI, lib/ or utils/ are utilities
• If Express/Fastify: files in routes/ are API endpoints, middleware/ is middleware, models/ or db/ is data
• If Python Django: views.py are controllers, models.py is data, urls.py is routing, templates/ is UI
• If Go: cmd/ is entry points, internal/ is private packages, pkg/ is public packages

Use this context to produce more accurate summaries and better classify file roles.

Fill in batch-specific parameters below and dispatch:

Analyze these source files and produce GraphNode and GraphEdge objects. Project root: $PROJECT_ROOT Project: <projectName> Languages: <languages> Batch index: <batchIndex> Write output to: $PROJECT_ROOT/.understand-anything/intermediate/batch-<batchIndex>.json

All project files (for import resolution): <full file path list from scan>

Files to analyze in this batch:

1. <path> (<sizeLines> lines)
2. <path> (<sizeLines> lines) ...

After ALL batches complete, read each batch-<N>.json file and merge:

• Combine all nodes arrays. If duplicate node IDs exist, keep the later occurrence.
• Combine all edges arrays. Deduplicate by the composite key source + target + type.

Incremental update path

Use the changed files list from Phase 0. Batch and dispatch file-analyzer subagents using the same process as above, but only for changed files.

After batches complete, merge with the existing graph:

1. Remove old nodes whose filePath matches any changed file
2. Remove old edges whose source or target references a removed node
3. Add new nodes and edges from the fresh analysis

Phase 3 — ASSEMBLE

Merge all file-analyzer results into a single set of nodes and edges. Then perform basic integrity cleanup:

• Remove any edge whose source or target references a node ID that does not exist in the merged node set
• Remove duplicate node IDs (keep the last occurrence)
• Log any removed edges or nodes for the final summary

Phase 4 — ARCHITECTURE

Dispatch a subagent using the prompt template at ./architecture-analyzer-prompt.md. Read the template file and pass the full content as the subagent's prompt, appending the following additional context:

Additional context from main session:

Frameworks detected: <frameworks from Phase 1>

Directory tree (top 2 levels):

$DIR_TREE

Framework-specific layer hints:

• If React/Next.js: app/ or pages/ → UI Layer, api/ → API Layer, lib/ → Service Layer, components/ → UI Layer
• If Express: routes/ → API Layer, controllers/ → Service Layer, models/ → Data Layer, middleware/ → Middleware Layer
• If Python Django: views/ → API Layer, models/ → Data Layer, templates/ → UI Layer, management/ → CLI Layer
• If Go: cmd/ → Entry Points, internal/ → Service Layer, pkg/ → Shared Library, api/ → API Layer

Use the directory tree and framework hints to inform layer assignments. Directory structure is strong evidence for layer boundaries.

Pass these parameters in the dispatch prompt:

Analyze this codebase's structure to identify architectural layers. Project root: $PROJECT_ROOT Write output to: $PROJECT_ROOT/.understand-anything/intermediate/layers.json Project: <projectName> — <projectDescription>

File nodes:

[list of {id, name, filePath, summary, tags} for all file-type nodes]

Import edges:

[list of edges with type "imports"]

After the subagent completes, read $PROJECT_ROOT/.understand-anything/intermediate/layers.json and normalize it into a final layers array. Apply these steps in order:

1. Unwrap envelope: If the file contains { "layers": [...] } instead of a plain array, extract the inner array. (The prompt requests a plain array, but LLMs may still produce an envelope.)
2. Rename legacy fields: If any layer object has a nodes field instead of nodeIds, rename nodes → nodeIds. If nodes entries are objects with an id field rather than plain strings, extract just the id values into nodeIds.
3. Synthesize missing IDs: If any layer is missing an id, generate one as layer:<kebab-case-name>.
4. Convert file paths: If nodeIds entries are raw file paths (not prefixed with file:), convert them to file:<relative-path>.
5. Drop dangling refs: Remove any nodeIds entries that do not exist in the merged node set.

Each element of the final layers array MUST have this shape:

[
  {
    "id": "layer:<kebab-case-name>",
    "name": "<layer name>",
    "description": "<what belongs in this layer>",
    "nodeIds": ["file:src/App.tsx", "file:src/main.tsx"]
  }
]

All four fields (id, name, description, nodeIds) are required.

For incremental updates: Always re-run architecture analysis on the full merged node set, since layer assignments may shift when files change.

Context for incremental updates: When re-running architecture analysis, also inject the previous layer definitions:

Previous layer definitions (for naming consistency):

[previous layers from existing graph]

Maintain the same layer names and IDs where possible. Only add/remove layers if the file structure has materially changed.

Phase 5 — TOUR

Dispatch a subagent using the prompt template at ./tour-builder-prompt.md. Read the template file and pass the full content as the subagent's prompt, appending the following additional context:

Additional context from main session:

Project README (first 3000 chars):

$README_CONTENT

Project entry point: $ENTRY_POINT

Use the README to align the tour narrative with the project's own documentation. Start the tour from the entry point if one was detected. The tour should tell the same story the README tells, but through the lens of actual code structure.

Pass these parameters in the dispatch prompt:

Create a guided learning tour for this codebase. Project root: $PROJECT_ROOT Write output to: $PROJECT_ROOT/.understand-anything/intermediate/tour.json Project: <projectName> — <projectDescription> Languages: <languages>

Nodes (summarized):

[list of {id, name, filePath, summary, type} for key nodes]

Layers:

[layers from Phase 4]

Key edges:

[imports and calls edges]

After the subagent completes, read $PROJECT_ROOT/.understand-anything/intermediate/tour.json and normalize it into a final tour array. Apply these steps in order:

1. Unwrap envelope: If the file contains { "steps": [...] } instead of a plain array, extract the inner array. (The prompt requests a plain array, but LLMs may still produce an envelope.)
2. Rename legacy fields: If any step has nodesToInspect instead of nodeIds, rename it → nodeIds. If any step has whyItMatters instead of description, rename it → description.
3. Convert file paths: If nodeIds entries are raw file paths, convert them to file:<relative-path>.
4. Drop dangling refs: Remove any nodeIds entries that do not exist in the merged node set.
5. Sort by order before saving.

Each element of the final tour array MUST have this shape:

[
  {
    "order": 1,
    "title": "Start at the app entry",
    "description": "This step explains how the frontend boots and mounts.",
    "nodeIds": ["file:src/main.tsx", "file:src/App.tsx"]
  }
]

Required fields: order, title, description, nodeIds. Preserve optional languageLesson when present.

Phase 6 — REVIEW

Assemble the full KnowledgeGraph JSON object:

{
  "version": "1.0.0",
  "project": {
    "name": "<projectName>",
    "languages": ["<languages>"],
    "frameworks": ["<frameworks>"],
    "description": "<projectDescription>",
    "analyzedAt": "<ISO 8601 timestamp>",
    "gitCommitHash": "<commit hash from Phase 0>"
  },
  "nodes": [<all merged nodes from Phase 3>],
  "edges": [<all merged edges from Phase 3>],
  "layers": [<layers from Phase 4>],
  "tour": [<steps from Phase 5>]
}

1. Before writing the assembled graph, validate that:

   • layers is an array of objects with these required fields: id, name, description, nodeIds
   • tour is an array of objects with these required fields: order, title, description, nodeIds
   • tour[*].languageLesson is allowed as an optional string field
   • Every layers[*].nodeIds entry exists in the merged node set
   • Every tour[*].nodeIds entry exists in the merged node set

   If validation fails, automatically normalize and rewrite the graph into this shape before saving. If the graph still fails final validation after the normalization pass, save it with warnings but mark dashboard auto-launch as skipped.

2. Write the assembled graph to $PROJECT_ROOT/.understand-anything/intermediate/assembled-graph.json.

3. Dispatch a subagent using the prompt template at ./graph-reviewer-prompt.md. Read the template file and pass the full content as the subagent's prompt, appending the following additional context:

Additional context from main session:

Phase 1 scan results (file inventory):

[list of {path, sizeLines} from scan-result.json]

Phase warnings/errors accumulated during analysis:

• [list any batch failures, skipped files, or warnings from Phases 2-5]

Cross-validate: every file in the scan inventory should have a corresponding file: node in the graph. Flag any missing files. Also flag any graph nodes whose filePath doesn't appear in the scan inventory.

Pass these parameters in the dispatch prompt:

Validate the knowledge graph at $PROJECT_ROOT/.understand-anything/intermediate/assembled-graph.json. Project root: $PROJECT_ROOT Read the file and validate it for completeness and correctness. Write output to: $PROJECT_ROOT/.understand-anything/intermediate/review.json

4. After the subagent completes, read $PROJECT_ROOT/.understand-anything/intermediate/review.json.

5. If approved: false:

   • Review the issues list
   • Apply automated fixes where possible:
     • Remove edges with dangling references
     • Fill missing required fields with sensible defaults (e.g., empty tags -> ["untagged"], empty summary -> "No summary available")
     • Remove nodes with invalid types
   • Re-run the final graph validation after automated fixes
   • If critical issues remain after one fix attempt, save the graph anyway but include the warnings in the final report and mark dashboard auto-launch as skipped

6. If approved: true: Proceed to Phase 7.

Phase 7 — SAVE

1. Write the final knowledge graph to $PROJECT_ROOT/.understand-anything/knowledge-graph.json.

2. Write metadata to $PROJECT_ROOT/.understand-anything/meta.json:

   {
     "lastAnalyzedAt": "<ISO 8601 timestamp>",
     "gitCommitHash": "<commit hash>",
     "version": "1.0.0",
     "analyzedFiles": <number of files analyzed>
   }
   

3. Clean up intermediate files:

   rm -rf $PROJECT_ROOT/.understand-anything/intermediate
   

4. Report a summary to the user containing:

   • Project name and description
   • Files analyzed / total files
   • Nodes created (broken down by type: file, function, class)
   • Edges created (broken down by type)
   • Layers identified (with names)
   • Tour steps generated (count)
   • Any warnings from the reviewer
   • Path to the output file: $PROJECT_ROOT/.understand-anything/knowledge-graph.json

5. Only automatically launch the dashboard by invoking the /understand-dashboard skill if final graph validation passed after normalization/review fixes. If final validation did not pass, report that the graph was saved with warnings and dashboard launch was skipped.

Error Handling

• If any subagent dispatch fails, retry once with the same prompt plus additional context about the failure.
• Track all warnings and errors from each phase in a $PHASE_WARNINGS list. Pass this list to the graph-reviewer in Phase 6 for comprehensive validation.
• If it fails a second time, skip that phase and continue with partial results.
• ALWAYS save partial results — a partial graph is better than no graph.
• Report any skipped phases or errors in the final summary so the user knows what happened.
• NEVER silently drop errors. Every failure must be visible in the final report.

Reference: KnowledgeGraph Schema

Node Types

Edge Types (18 total)

Edge Weight Conventions