メニュー
End-of-session review and sync of project-specific learnings to the project-level LightRAG graph
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
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。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/zhaixin244-wq/fnw --skill rag-project-syncコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Autonomous iterative research loop. Takes a topic, runs web searches, fetches sources, synthesizes findings, and files everything into the wiki as structured pages. Based on Karpathy's autoresearch pattern: program.md configures objectives and constraints, the loop runs until depth is reached, output goes directly into the knowledge base. Triggers on: "/autoresearch", "autoresearch", "research [topic]", "deep dive into [topic]", "investigate [topic]", "find everything about [topic]", "research and file", "go research", "build a wiki on".
Visual layer of the wiki. Add images, text cards, PDFs, and wiki pages to Obsidian canvas files with auto-positioning inside zones. Integrates with /banana for image capture. Triggers on: /canvas, canvas new, canvas add image, canvas add text, canvas add pdf, canvas add note, canvas zone, canvas list, canvas from banana, add to canvas, put this on the canvas, open canvas, create canvas.
Use when running RTL lint checks. Triggers on 'lint', 'verilator', 'verible', 'spyglass', '语法检查', '可综合性', '组合环路', 'latch检查', 'rtl lint', 'lint检查'. Supports multiple EDA tools with auto-detection.
SOC 職業分類に基づく
SKILL.md を表示中
| name | rag-project-sync |
| description | End-of-session review and sync of project-specific learnings to the project-level LightRAG graph |
| version | 1.0.0 |
| model | sonnet |
| triggers | ["/rag-project-sync","sync project memory","push project learnings"] |
Review what happened this session and push project-relevant learnings to the project-level LightRAG knowledge graph.
Scan the conversation for project-specific items worth persisting:
Remove anything that:
/rag-project-remember this session/rag-sync insteadFormat each item using the /rag-project-remember format:
[TYPE] Title — YYYY-MM-DD
What: ...
Why: ...
Files: ... (if applicable)
Present the list:
Ready to sync 2 items to project memory:
- [ARCHITECTURE] API routes use controller pattern with service layer — 2026-04-01
- [CONVENTION] All database queries go through repository classes — 2026-04-01
Proceed? (y/n)
Wait for confirmation before inserting.
node -e "
const BASE = 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT';
const API_KEY = process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY';
(async () => {
const res = await fetch(BASE + '/documents/text', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': API_KEY
},
body: JSON.stringify({
file_source: 'DESCRIPTION_HERE',
text: 'CONTENT_HERE'
})
});
console.log('Status:', res.status);
})();
"
Synced 2 items to project LightRAG.
Only store things that would save 5+ minutes in a future session working on this project.
Good examples:
Bad examples:
YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORTLIGHTRAG_API_KEY