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Generates the agent-optimized ROOT.md topic index, project/topic indexes, missing coverage list, landscape comparison table, and wiki README. Use when generating indexes, the ROOT.md entry point, or the comparison table.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Show pending changes and LLM-powered impact analysis without compiling. Detects new/modified/deleted sources via content hashing, maps them to dirty buckets, reads changed sources to assess impact and detect contradictions with existing claims. Use to preview what incremental compilation would do before running it.
Incrementally recompiles changed parts of the wiki after new sources are ingested. The skill handles change detection, LLM-powered impact analysis, and user confirmation. All compilation is delegated to the script pipeline (bun run compile --incremental), which handles entity extraction, resolution with anchoring, synthesis with evidence registry, reference cards, claims, self-eval, and state saving.
Extracts atomic verifiable claims from synthesis articles and runs self-evaluation by verifying a sample against raw sources. Outputs build/claims.json and build/eval-report.json. Use when extracting claims, running self-eval, or verifying wiki accuracy.
Writes field-map.md, the flagship overview article that connects all taxonomy areas into one system. A 3000-5000 word systems map showing integration points, paradigm routing logic, and a concrete practitioner flow. Use when writing the field map or systems overview.
Compiles the wiki from raw markdown sources. Read `config/domain.ts` for the domain topic and taxonomy. Orchestrates a multi-phase pipeline using subagents: read sources, write synthesis articles, write reference cards, generate field map and indexes, extract claims, and run self-eval. Use when asked to compile, build, or generate the wiki from raw sources.
Deep-researches a project or paper for the knowledge base. Clones repos to read source code, fetches full paper text, and produces structured analysis files in raw/deep/. Use when asked to deep-research, deep-dive, analyze source code, or enrich a source with implementation details.
| name | compile-index |
| description | Generates the agent-optimized ROOT.md topic index, project/topic indexes, missing coverage list, landscape comparison table, and wiki README. Use when generating indexes, the ROOT.md entry point, or the comparison table. |
Read config/domain.ts for the domain name, topic, and taxonomy bucket definitions.
Read all compiled articles from wiki/ to understand what exists, then
generate the 6 files below.
All synthesis articles, reference cards, and field-map.md must exist in wiki/
before running this skill.
Agent-optimized topic index. MUST be under 2K tokens. Format:
[bucket, stars, refs]: description -> path
Star count accuracy: Only read star counts from raw/repos/ source
files (the project's own repo metadata). Do NOT use star counts from
papers, tweets, or articles that mention the project — those often
contain another project's star count and cause data corruption.[bucket]: description -> pathSee references/root-template.md for the exact format example.
Markdown table with columns: Project | Bucket | Sources. Link each project
name to its reference card (projects/{slug}.md).
Bulleted list: concept name linked to its card (concepts/{slug}.md), followed
by a one-line description.
Entities mentioned in sources but lacking full articles. Columns: Name | Type (project/concept) | Bucket | Source Count. Sorted by source count descending.
All-projects comparison table. Columns: Project | Bucket | Description (80 char max). Sorted by bucket, then alphabetically.
Human entry point for the wiki. Include:
config/domain.ts)Each file gets appropriate frontmatter:
# ROOT.md
---
type: root
version: 1
compiled_at: "YYYY-MM-DDTHH:MM:SS.000Z"
token_estimate: <actual count>
entities_total: <count>
sources_total: <count>
---
# Other index files
---
type: index
last_compiled: "YYYY-MM-DD"
---