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llm-wiki

llm-wiki 收录了来自 Pratiyush 的 6 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。

已收集 skills
6
Stars
340
更新
2026-04-22
Forks
53
职业覆盖
4 个职业分类 · 已分类 100%
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这个仓库中的 skills

wiki-all
软件开发工程师

Run the complete llmwiki pipeline from scratch — init, sync, graph, build, lint, and serve. Use when the user says "run everything", "full pipeline", "wiki-all", or wants to rebuild the entire wiki from session history.

2026-04-22
llmwiki-ingest
档案文员

Ingest one source document (or a folder of them) into the llmwiki. Use when the user drops a new markdown file, PDF, or URL into the wiki and asks you to process it. The user will typically say "ingest this", "add this to the wiki", "process this file into the wiki", or point at a file under `raw/`.

2026-04-08
llmwiki-query
其他计算机职业

Answer a question by querying the user's llmwiki. Use when the user asks about their own past work — "what did I decide about X", "what have I been working on", "how did I solve Y", "what's my preferred approach to Z", or any question that the wiki (built from their session history) might answer. Always read the wiki first before falling back to external search.

2026-04-08
llmwiki-sync
其他计算机职业

Sync Claude Code session transcripts into the user's llmwiki and ingest them into the wiki. Use when the user says "sync the wiki", "update llmwiki", "ingest recent sessions", "refresh the knowledge base", or asks a knowledge question that would benefit from up-to-date sessions. Also use when the user explicitly asks to refresh or rebuild the LLM wiki from their agent history.

2026-04-08
project-maintainer
项目管理专家

Maintain an llmwiki-style open-source project across the full framework pipeline. Use when the user says "maintain the project", "check my tasks", "update progress", "run phase gate", "do a monthly verify", "lint my wiki", "check stale entries", or invokes any form of ongoing project-keeping chore. Reads _progress.md, tasks.md, docs/roadmap.md, and .github issues to figure out what's next and what's drifted.

2026-04-08
self-learn
其他计算机职业

Extract reusable patterns from recent sessions, propose framework improvements, and (with approval) update the framework docs. This is the dogfooding meta-loop — the project learns from its own usage. Use when the user says "learn from this", "what did we learn", "extract lessons", "update the framework", "add this to steering rules", or after completing any substantial feature or debugging session.

2026-04-08