本文へ移動
cccskills
無料GitHub で公開

atlas-graph-query

Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)

インストール方法を見る

含まれるファイル(1)

  • SKILL.md3.5 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

atlas-graph-query

A thin reference for the Atlas knowledge-graph MCP tool surface so any agent (including sub-agents) can query the graph without re-deriving conventions. The server URL is wired natively by the atlas plugin and is overridable via ATLAS_MCP_URL. Never invent node ids — only use ids returned by these tools.

Position: this is the SECONDARY / enrichment layer. The atlas plugin is scan-first — it inventories your REAL systems by scanning your actual sources (Azure via read-only az, git repos, local directories) and process/data mining them. The graph queries below are used ONLY to add best-practice / comparison context to those already-discovered real systems. Do NOT use the graph as the primary content, and never pad a real inventory with generic catalog nodes. Tie every graph lookup back to a real scanned system.

Tools

mcp__atlas__atlas_public_search

Full-text/semantic search over the graph. Key params: q (query), optional kind filter, limit. Prefer it to find seed/anchor nodes from need terms.

mcp__atlas__atlas_public_record

Fetch one node's full record by id (fields + edges). Use expandNeighbors to pull immediate relations in one call. Prefer it to read detail once you have ids.

mcp__atlas__atlas_public_neighbors

Traverse the graph from a node. Key params: id, depth, edges (edge-kind filter), kinds (node-kind filter). Prefer it to expand a subsystem from anchors.

mcp__atlas__atlas_public_kinds

List all node kinds in the graph. Use to scope a domain to relevant kinds.

mcp__atlas__atlas_public_kind

Describe a single node kind (schema/fields). Use before relying on a kind's shape.

mcp__atlas__atlas_public_edge_kinds

List all edge kinds. Use to understand how nodes relate.

mcp__atlas__atlas_public_edge_kind

Describe a single edge kind. Use to interpret a specific relation type.

mcp__atlas__atlas_public_clusters

List graph clusters (thematic groupings). Use to scope a domain to cluster(s).

mcp__atlas__atlas_public_stats

Graph-level counts/metrics. Use for sizing and sanity checks.

mcp__atlas__atlas_public_wiki_page

Fetch a narrative wiki page for context. Use to capture human-readable nuance.

Query recipes

  • Find by need — atlas_public_search(q=<need terms>) → take top ids.
  • Expand a subsystem — atlas_public_neighbors(id, depth=2, kinds=[...]).
  • Inspect a node — atlas_public_record(id, expandNeighbors=true).
  • Browse a cluster — atlas_public_clusters → pick cluster → search/ neighbors scoped to it.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Provide implementations of advanced data structures

日本語の概要は準備中です。原文の説明を表示しています。

a5c-ai/babysitter1,8412026年9月17日 更新

Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning.

日本語の概要は準備中です。原文の説明を表示しています。

a5c-ai/babysitter1,8412026年9月17日 更新

WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.

日本語の概要は準備中です。原文の説明を表示しています。

a5c-ai/babysitter1,8412026年9月17日 更新

Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.

日本語の概要は準備中です。原文の説明を表示しています。

a5c-ai/babysitter1,8412026年9月17日 更新

Generate visual representations of algorithm execution

日本語の概要は準備中です。原文の説明を表示しています。

a5c-ai/babysitter1,8412026年9月17日 更新

Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.

日本語の概要は準備中です。原文の説明を表示しています。

a5c-ai/babysitter1,8412026年9月17日 更新

a5c-ai のスキルをすべて見る

このスキルの問題を報告する