Installs just this skill. Get the whole plugin for auto-invocation.
⚡ How it fires
How this skill gets triggered: by you, by Claude, or both.
Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/understand-diff
👁️ Context preview
The summary Claude sees to decide when to auto-load this skill.
Use when you need to analyze git diffs or pull requests to understand what changed, affected components, and risks
📊 Stats
Stars75,773
Forks6,313
LanguageTypeScript
LicenseMIT
📦 Ships with understand-anything
</> SKILL.md
understand-diff.SKILL.md
---name: understand-diff
description: Use when you need to analyze git diffs or pull requests to understand what changed, affected components, and risks
---# /understand-diff
Analyze the current code changes against the knowledge graph in the project's data directory (`.ua/knowledge-graph.json`, or the legacy `.understand-anything/knowledge-graph.json` when that directory is present).
## Graph Structure Reference
The knowledge graph JSON has this structure:
- `project` — {name, description, languages, frameworks, analyzedAt, gitCommitHash}
- `nodes[]` — each has {id, type, name, filePath?, summary, tags[], complexity, languageNotes?}
- Code node types: file, function, class, module, concept
- Non-code node types: config, document, service, table, endpoint, pipeline, schema, resource
- Domain/knowledge node types: domain, flow, step, article, entity, topic, claim, source
- IDs use the node type as prefix, e.g. `file:path`, `function:path:name`, `config:path`, `article:path`
- `edges[]` — each has {source, target, type, direction, weight}
- Key types: imports, contains, calls, depends_on, configures, documents, deploys, triggers, contains_flow, flow_step, related, cites
- `layers[]` — each has {id, name, description, nodeIds[]}
- `tour[]` — each has {order, title, description, nodeIds[]}
## How to Read Efficiently
1. Use Grep to search within the JSON for relevant entries BEFORE reading the full file
2. Only read sections you need — don't dump the entire graph into context
3. Node names and summaries are the most useful fields for understanding
4. Edges tell you how components connect — follow imports and calls for dependency chains
## Instructions
1. **Resolve the data directory `$UA_DIR`.** Run `UA_DIR=$([ -d .understand-anything ] && echo .understand-anything || echo .ua)` — this is the legacy `.understand-anything/` when it already exists, otherwise the new `.ua/`. Check that `$UA_DIR/knowledge-graph.json` exists. If not, tell the user to run `/understand` first.
2. **Get the changed files list** (do NOT read the graph yet):
- If on a branch with uncommitted changes: `git diff --name-only`
- If on a feature branch: `git diff main...HEAD --name-only` (or the base branch)
- If the user specifies a PR number: get the diff from that PR
3. **Read project metadata and check graph freshness** — use Grep or Read with a line limit to extract the `"project"` section, including `gitCommitHash` as `GRAPH_COMMIT_RAW`, then:
- Resolve it as a commit before using it in any Git diff. From the project root, compare the resolved commit with `git rev-parse HEAD` and inspect project-scoped committed and working-tree changes:
- 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 before impact analysis that the graph may omit those changes. Suggest: Run `/understand` to refresh the 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.
4. **Find nodes for changed files** — for each changed file path, use Grep to search the knowledge graph for:
- Nodes with matching `"filePath"` values (e.g., `grep "changed/file/path"`)
- This finds file-level nodes (including non-code types) AND function/class nodes defined in those files
- Note the `id` values of all matched nodes
5. **Find connected edges (1-hop)** — for each matched node ID, Grep for that ID in the edges to find:
- What imports or depends on the changed nodes (upstream callers)
- What the changed nodes import or call (downstream dependencies)
- These are the "affected components" — things that might break or need updating
6. **Identify affected layers** — Grep for the matched node IDs in the `"layers"` section to determine which architectural layers are touched.
7. **Provide structured analysis**:
- **Changed Components**: What was directly modified (with summaries from matched nodes)
- **Affected Components**: What might be impacted (from 1-hop edges)
- **Affected Layers**: Which architectural layers are touched and cross-layer concerns
- **Risk Assessment**: Based on node `complexity` values, number of cross-layer edges, and blast radius (number of affected components)
- Suggest what to review carefully and any potential issues
8. **Write diff overlay for dashboard** — after producing the analysis, write the diff data to `$UA_DIR/diff-overlay.json` so the dashboard can visualize changed and affected components. The file contains:
```json
{
"version": "1.0.0",
"baseBranch": "<the base branch used>",
"generatedAt": "<ISO timestamp>",
"changedFiles": ["<list of changed file paths>"],
"changedNodeIds": ["<node IDs from step 4>"],
"affectedNodeIds": ["<node IDs from step 5, excluding changedNodeIds>"]
}
```
After writing, tell the user they can run `/understand-anything:understand-dashboard` to see the diff overlay visually.
