القائمة
End-of-session review and sync of learnings to the personal LightRAG knowledge graph
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/zhaixin244-wq/fnw --skill rag-syncيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
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.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | rag-sync |
| description | End-of-session review and sync of learnings to the personal LightRAG knowledge graph |
| version | 1.0.0 |
| model | sonnet |
| triggers | ["/rag-sync","sync memories","push learnings"] |
Review what happened this session and push non-obvious learnings to your personal LightRAG knowledge graph. Run before ending a productive session.
Scan the conversation for items worth persisting. Look for:
Remove anything that:
/rag-remember this sessionFormat each item using the /rag-remember format:
[TYPE] Title — YYYY-MM-DD
What: ...
Why: ...
Files: ... (if applicable)
Present the list of items to store. Example:
Ready to sync 3 items to personal memory:
- [DECISION] Switched auth from JWT to session tokens — 2026-04-01
- [FEEDBACK] User prefers single bundled PRs for refactors
- [CONFIG] LightRAG project instance moved to port 9625
Proceed? (y/n)
Wait for user confirmation before inserting.
node -e "
const BASE = process.env.LIGHTRAG_SERVER_URL || 'http://YOUR_LIGHTRAG_HOST:YOUR_PERSONAL_PORT';
(async () => {
const auth = await fetch(BASE + '/auth-status').then(r => r.json());
const token = auth.access_token;
const res = await fetch(BASE + '/documents/text', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer ' + token
},
body: JSON.stringify({
file_source: 'DESCRIPTION_HERE',
text: 'CONTENT_HERE'
})
});
console.log('Status:', res.status);
})();
"
Summarize what was synced:
Synced 3 items to personal LightRAG.
Only store things that would save 5+ minutes in a future session.
Good examples:
Bad examples:
YOUR_LIGHTRAG_HOST:YOUR_PERSONAL_PORT/auth-status (guest/disabled mode)LIGHTRAG_SERVER_URL