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Understand Diff

  • 671 installs
  • 77.5k repo stars
  • Updated July 30, 2026
  • egonex-ai/understand-anything

Analyze git diffs or pull requests against a codebase knowledge graph to understand what changed, affected components, and risks.

About

Reads a project's knowledge-graph.json and the changed-files list to explain a diff's impact, affected components, and dependency risks. A developer uses it to review a PR or set of changes against a mapped codebase.

  • Queries the knowledge graph efficiently with Grep before reading full sections
  • Follows imports/calls edges to trace affected components and risk

Understand Diff by the numbers

  • 671 all-time installs (skills.sh)
  • Ranked #195 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/egonex-ai/understand-anything --skill understand-diff

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Listed on Skillselion
Installs671
repo stars77.5k
Last updatedJuly 30, 2026
Repositoryegonex-ai/understand-anything

What it does

Analyze git diffs or pull requests against a codebase knowledge graph to understand what changed, affected components, and risks.

Files

SKILL.mdMarkdownGitHub ↗

/understand-diff

Analyze the current code changes against the knowledge graph at .understand-anything/knowledge-graph.json.

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. Check that .understand-anything/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 only — use Grep or Read with a line limit to extract just the "project" section for context.

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 .understand-anything/diff-overlay.json so the dashboard can visualize changed and affected components. The file contains:

   {
     "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.

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