SKILL.md

Installieren

Die Skill-Datei bleibt im Repository des Herausgebers.

Fügen Sie den kopierten Befehl in ein Terminal ein. Er installiert diese SKILL.md in dem jeweiligen Agenten.

shTerminal

1npx skills add Egonex-AI/Understand-Anything --skill understand-diff -a cursor -y

Fügen Sie den kopierten Befehl in ein Terminal ein. Er installiert diese SKILL.md in dem jeweiligen Agenten.

shTerminal

1npx skills add Egonex-AI/Understand-Anything --skill understand-diff -a claude-code -y

Fügen Sie den kopierten Befehl in ein Terminal ein. Er installiert diese SKILL.md in dem jeweiligen Agenten.

shTerminal

1npx skills add Egonex-AI/Understand-Anything --skill understand-diff -a codex -y

Fügen Sie den kopierten Befehl in ein Terminal ein. Er installiert diese SKILL.md in dem jeweiligen Agenten.

shTerminal

1npx skills add Egonex-AI/Understand-Anything --skill understand-diff -a grok -y

Senden Sie die kopierte Nachricht in einem Grok Bot-Chat. Der Bot ruft diese SKILL.md von GitHub ab und fügt sie den Skills hinzu, die alle Ihre Bots gemeinsam nutzen.

txtGrok Bot-Chat

1Install this skill: https://github.com/Egonex-AI/Understand-Anything/tree/HEAD/understand-anything-plugin/skills/understand-diff

Skill herunterladen understand-anything-plugin/skills/understand-diff/SKILL.md auf GitHub

understand-anything-plugin/skills/understand-diff/SKILL.mdMarkdown · UTF-8

Skill-Details

Agent-Skill

Datei: understand-anything-plugin/skills/understand-diff/SKILL.md
Herausgeber: Egonex-AI
Hosting: Herausgeber
Aktualisiert: 2026-11-15

Sterne: 93k
Agenten: 3
Kategorien: 3

Vom Herausgeber

SKILL.md

name

/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

Use Grep to search within the JSON for relevant entries BEFORE reading the full file

Only read sections you need — don't dump the entire graph into context

Node names and summaries are the most useful fields for understanding

Edges tell you how components connect — follow imports and calls for dependency chains

Instructions

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.

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

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.

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

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

Identify affected layers — Grep for the matched node IDs in the "layers" section to determine which architectural layers are touched.

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

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.

understand-diff

Installieren

Skill-Details

SKILL.md

/understand-diff

Graph Structure Reference

How to Read Efficiently

Instructions

Fragen

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