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understand-diff

Use when you need to analyze git diffs or pull requests to understand what changed, affected components, and risks

项目与协作86kunderstand-anything-plugin/skills/understand-diff/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/egonex-ai/understand-anything/understand-diff/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

/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:
      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 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:

    {
      "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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