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knowledge-graph

[UDS] Trace impact chains across specs, decisions, and code via a knowledge graph, with a Markdown fallback when no engine is present. Use when: asking what a spec or decision affects, finding which code implements an artifact, tracing dependencies between specs, ADRs, and modules. Not for: plain text search with no spec or decision anchor — use Grep; authoring the spec itself — use /sdd. Keywords: knowledge graph, impact chain, traceability, spec impact, decision graph, 知識圖, 影響鏈, 規格追蹤.

ソース情報

リポジトリ
AsiaOstrich/universal-dev-standards
ソースの最終更新活動
2026年8月17日 06:20
検出された SKILL.md の言語
英語
スター
80
フォーク
14

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SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
knowledge-graph
scope
partial
description
[UDS] Trace impact chains across specs, decisions, and code via a knowledge graph, with a Markdown fallback when no engine is present. Use when: asking what a spec or decision affects, finding which code implements an artifact, tracing dependencies between specs, ADRs, and modules. Not for: plain text search with no spec or decision anchor — use Grep; authoring the spec itself — use /sdd. Keywords: knowledge graph, impact chain, traceability, spec impact, decision graph, 知識圖, 影響鏈, 規格追蹤.
allowed-tools
Read, Glob, Grep, Bash(curl:*)
argument-hint
[artifact id, e.g. XSPEC-205 | 產物 id]
# Knowledge Graph | 知識圖 > **Language**: English | [繁體中文](../../locales/zh-TW/skills/knowledge-graph/SKILL.md) Answer structural questions across specs, decisions, and code — *"what is the full impact chain of XSPEC-205?"* — using the [Knowledge Graph Memory](../../core/knowledge-graph-memory.md) relationship schema. Works with or without a graph engine. 回答橫跨規格、決策與程式碼的結構性問題——*「XSPEC-205 的完整影響鏈是什麼?」*——依據[知識圖記憶標準](../../core/knowledge-graph-memory.md)的關係 schema。有無圖引擎皆可運作。 > **Implements**: XSPEC-237 Phase 5 — knowledge-graph skill (EngramGraph opt-in) ## Mode Selection | 模式選擇 Detect which mode to use **before** answering: | Condition | Mode | |-----------|------| | `ENGRAM_URL` set, or a local graph engine responds on `/health` | Service mode (engine) | | Otherwise | Degraded mode (Markdown) | ## Workflow | 工作流程 1. **Resolve the target** — normalise the argument to a canonical id (`XSPEC-205`, `DEC-062`, a function name). 2. **Choose mode** — probe for a graph engine (service) else fall back (degraded). 3. **Service mode (AC-5b)** — issue a single multi-hop query and present the returned chain, including cross-domain links (code → spec → decision): ```bash curl -s -X POST "$ENGRAM_URL/graph/impact-analysis" \ -H 'content-type: application/json' \ -d '{"nodeId":"XSPEC-205","maxHops":3}' ``` 4. **Degraded mode (AC-5a)** — with no engine, read the target document, follow its `impacts`/`impacted_by`/`supersedes`/`related` front-matter and inline `[[ref]]` links by reading the linked files, and assemble the chain manually (bounded by reading depth). 5. **Present the chain** — list the connected Specs and Decisions, the edge type for each hop, and (if present) each node's `confidence`, highest first. 6. **State the mode used** — always say whether the answer came from the engine or Markdown fallback, so completeness is clear. ## Relationship Schema | 關係 schema See [knowledge-graph-memory](../../core/knowledge-graph-memory.md). Front-matter fields: `related`, `impacts`, `impacted_by`, `supersedes`, `implements`. Edge derivation: Decision `impacts` Spec → IMPACTS; Decision `supersedes` Decision → SUPERSEDES. 關係欄位與邊推導見[知識圖記憶標準](../../core/knowledge-graph-memory.md)。 ## Next Steps Guidance | 下一步引導 - If degraded mode hit a reading-depth limit, tell the user a graph engine (e.g. EngramGraph) would give a complete chain, and how to set `ENGRAM_URL`. - If a referenced id was not found, surface it as a dangling reference to fix. - Offer to add missing `impacts`/`impacted_by` front-matter to the documents you traversed. ## Reference | 參考 - Standard: [core/knowledge-graph-memory.md](../../core/knowledge-graph-memory.md) - Engine (opt-in): [EngramGraph](https://github.com/AsiaOstrich/EngramGraph) — `engramgraph` - Detailed guide: [guide.md](guide.md)
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