- 📁 references/
- 📄 README.md
- 📄 SKILL.md
Interactive lesson-level quiz for Claude Code tutorials. Tests understanding of a specific lesson (01-10) with 8-10 questions mixing conceptual and practical knowledge. Use before a lesson to pre-test, during to check progress, or after to verify mastery. Use when asked to "quiz me on hooks", "test my knowledge of lesson 3", "lesson quiz", "practice quiz for MCP", or "do I understand skills".
Use when you need to ask questions about a codebase or understand code using a knowledge graph
Trace bugs through call chains using knowledge graph
MinerU Document Explorer — Agent-native knowledge engine. Use when users ask to search their documents, look up information in PDFs/DOCX/PPTX/Markdown, navigate inside large documents, extract tables/figures, or build wiki knowledge bases.
LLM-compiled knowledge base manager. Activates when user works with wiki directories, mentions knowledge base management, asks knowledge questions in a project with a wiki, wants to ingest/compile/query/lint knowledge, or uses /wiki commands. Also activates when user says "wiki", "knowledge base", "ingest", "compile wiki", "add to wiki", "search wiki", "librarian", "scan quality", "article quality", "content review", or asks a factual question in a directory containing .wiki/ or when ~/wiki/ exists or the configured hub path exists (check ~/.config/llm-wiki/config.json for hub_path).
Guidance for maintaining memory quality through curation. Covers updating outdated memories, marking obsolete content, and linking related knowledge. Use when memories need modification, when new information supersedes old, or when building knowledge graph connections.
- 📁 references/
- 📄 LICENSE.txt
- 📄 SKILL.md
VRChat skill renovator for knowledge fill, refresh, and quality improvement. Use this skill when updating VRChat skills to new SDK versions, filling missing knowledge, fixing outdated information, or improving skill quality. Targets unity-vrc-udon-sharp and unity-vrc-world-sdk-3 skills.
Bulk-import existing project documents into Aegis knowledge base. Use when the user wants to import many documents at once, populate the knowledge base from existing docs, or batch-import architecture documentation.
- 📁 FEEDBACK/
- 📄 evolve.sh
- 📄 INSTALL.md
- 📄 PROMPT.md
Zettelkasten second-memory system for OpenClaw Agent — auto-capture conversation knowledge into a permanent knowledge base with bi-directional links and intelligent retrieval.
- 📁 examples/
- 📄 README.md
- 📄 SKILL.md
Nightly pipeline for integrating newly captured external article notes into Brain knowledge surfaces. Use when: 文章整合, article notes integration, nightly article sync, update article relations, topic index update, article knowledge graph, 前一天文章整理, 或 run the 02:00 article pipeline. --- # Article Notes Integration 把前一天新增或待整合的 Article Notes，转成可检索、可关联、可继续提炼的 Brain 知识输入层。 ## Purpose 这个技能负责 **文章 ingestion 之后的 nightly integration**，而不是原始外部文章采集本身。 它处理的是： 1. 扫描昨天新增或尚未 integrated 的 article notes 2. 校验并补足结构 / frontmatter / relation 状态 3. **交叉引用更新**（见下方 Cross-Reference Protocol，每次 ingest 后执行） 4. 更新 topic / domain / project 相关的轻量图谱入口 5. 生成 open questions / pattern candidates / article-derived graph signals 6. 输出高价值 article candidates，供后续 flywheel amplification 使用 ## Primary Inputs - Brain root: `{{BRAIN_ROOT}}` - Source notes: `03-KNOWLEDGE/02-WORKING/01-ARTICLE-NOTES/` - Candidate set: - 前一天新增 article notes - 或 `integration_status != integrated` 的 article notes - Read-only context: - related domain notes - `03-KNOWLEDGE/99-SYSTEM/01-INDEXES/` 下已有 topic / topic-map / open-question surfaces - `05-PROJECTS/` 下 project briefs（若能稳定识别项目） ## Required Outputs
- 📄 agent.md
- 📄 being.md
- 📄 browser.md
The Skill plugin gives the agent a persistent, structured knowledge base. Knowledge is organised into named **skills**, each containing any number of **items** — individual pieces of information. Items are indexed semantically, so the agent can search across all skills by meaning rather than exact keywords.
- 📄 __init__.py
- 📄 __main__.py
- 📄 analyze-graph.py
Turn any folder of code, docs, papers, or images into a queryable knowledge graph.
