Collect and organize a personal knowledge base from URLs (web/X/WeChat) and screenshots. Use when the user says they want to save an URL, ingest a link, archive content to KB,…
Build self-serve documentation that answers questions before they become tickets, organised by what people search for. Use when the same questions arrive repeatedly.
Erstellt FAQ, interne Wissensbasis und Kundenservice-Antworten zu Verlagstiteln, Updates, Downloads, Errata, Lizenzen und Produktfragen.
Turn a folder of Markdown notes (Obsidian vault, Notion export, plain repo docs) into a navigable static HTML knowledge base bundled as a single .zip file.
Cérebro vetorial com LanceDB — pipeline completo de downloads de livros (Z-Library → sanitização → chunking → vetorização → armazenamento → consulta)
Design, build, and maintain comprehensive knowledge bases. Bridges document-based (RAG) and entity-based (graph) knowledge systems.
Knowledge-base framework quick reference — capability domains and curated discovery phrases for KB ingest/health, semantic-memory kernel skills, and llm-wiki profiles
Search and locate relevant content within a local knowledge base (files, indices, or PageIndex). Use when you need verifiable citations (file + page/paragraph) to support answers…
Query knowledge artifacts across all locations. Triggers: "find learnings", "search patterns", "query knowledge", "what do we know about", "where is the plan".
Capture, summarize, and organize knowledge from URLs, YouTube videos, documents, and files. Proactively recall stored knowledge when relevant.
Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriate — from…
Компилирует личные книги, PDF/EPUB/TXT/Markdown и длинные материалы в прикладной Claude Code skill с картой источников, решающими правилами, плейбуками, словарём и проверкой…
Use when you need the Codex Copilot equivalent of Claude Copilot /knowledge-copilot: create, link, inspect, or onboard to a shared knowledge repository.
Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
Use when you have untargeted metabolomics data (MS/MS spectra) and need to annotate metabolites at scale.
Discover relevant skills and knowledge using tiered approach. SKIP for simple tasks, QUICK for single-skill, STANDARD for multi-skill, DEEP for full feature implementation.
Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT- — from…
Deep analysis of knowledge distillation techniques for compressing large models into smaller efficient ones
Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT- — from…
Periodic knowledge consolidation for AI coding agents. Synthesize scattered project learnings into durable, well-organized memory files.
Extract tribal knowledge from code, documentation, and commit history to preserve institutional memory
Transform raw personal experience, case studies, business documents, or draft content into transferable cognitive assets -- structured knowledge that others...
Auto-applies MECE/BFO framework (thesis, Mermaid TD/LR, numbered sections, Ground Truth) to ANY .md file creation.
Map what you don't know about a subject — including the gaps you can't see — so your learning targets the holes instead of re-covering what you already know.
Knowledge Gap Mapper skill for memory knowledge operations in Creative Liberation Engine V6.
Keep a team knowledge base alive — the gardener role and its weekly half-hour, the rot signals (stale pages, orphans, duplicates) and their fixes, the capture funnels that feed…
Designs and builds knowledge graphs to represent entities, relationships, and semantic connections, with query patterns for Neo4j, RDF, and property graphs.
Use when designing and building knowledge graphs from unstructured data. Invoke when user mentions entity extraction, schema design, LPG vs RDF, graph data model, ontology…
Build structured knowledge graphs from unstructured text by extracting entities, mapping relationships, generating graph triples, and visualizing the result.
Capture, validate, query, and sync architectural patterns and design decisions in the knowledge graph
Store facts as entities and relationships when questions depend on connections rather than similarity.
知识图谱工具(专业版)面向团队与企业,提供完整的嵌入式知识图谱能力,含加密保险库、离线可视化、跨Agent协作与内存自动导入。核心能力: - 全量查询、合并、嵌套、整理能力 - 加密保险库:密钥/令牌加密存储,权限隔离 - 离线HTML可视化:自包含图谱交互页面 - 跨Agent只读+写入:多Agent共享知识 - 内存自动导入:从会话历 — from…
Embedded knowledge graph for persistent structured knowledge。ALWAYS use proactively — do NOT wai。Use when 需要AI模型调用、智能对话、Agent编排、LLM应用时使用。不适用于需要100%确定性的关键决策。
知识图谱工具(专业版)面向团队与企业,提供完整的嵌入式知识图谱能力,含加密保险库、离线可视化、跨Agent协作与内存自动导入。核心能力: - 全量查询、合并、嵌套、整理能力 - 加密保险库:密钥/令牌加密存储,权限隔离 - 离线HTML可视化:自包含图谱交互页面 - 跨Agent只读+写入:多Agent共享知识 - 内存自动导入:从会话历 — from…
昇腾知识库的周期性维护引擎。扫 postmortems/ 新增记录（含 agent 自起草的候选 case）， 结构化升格到 Tier 2、校验 references 完整性、检测值重复、重算 confidence_score、 软退休过期 case、重生成 CHEATSHEET.md。建议每周运行。产出 PR 交领域 owner 审。
Neue Notes in das Wissensnetz einordnen. PDFs als Markdown-Quellen-Notes anlegen. Properties, Links, MOC-Eintraege setzen.
Process external resources into stored knowledge with quality evaluation, curation routing, and application decisions.
Ingests and prepares codebase documentation, builds internal knowledge graphs, and creates optimized context representations for downstream analysis tasks.
Search and navigate stored knowledge in memory palaces. Use for cross-referencing, context retrieval.
Composite skill — query, capture, improve, persist knowledge in one workflow. Chains recall (semantic lookup) → sync-memories (write note) → rag-curate (improve weak retrievals) →…
4-layer knowledge capture system for development sessions. Use when user says /mem (quick capture), /distill (extract patterns), /td (post-task retrospective with Before/After…
AI Personal Knowledge Manager — Zettelkasten, Obsidian, PARA, Note-Taking System, Second Brain สำหรับนักเรียนรู้ตลอดชีวิต
Use when choosing the representation paradigm for domain knowledge: knowledge graph, frame, production rule, semantic network, concept map, procedural ontology, or hybrid.
面向AI Agent的类型化知识图谱系统，提供实体关系建模、约束校验引擎、模式演进管理、图遍历规划四大核心能力. 内置15+实体类型与7类约束规则，支持append-only历史保留与三步迁移法，确保模式变更不破坏旧数据. 将多步计划建模为图操作序列，每步执行前自动校验约束，违反约束自动回滚.
面向AI Agent的类型化知识图谱系统基础版，提供实体关系建模、约束校验、图遍历查询三大核心能力. 内置Person/Project/Task等基础实体类型与required/enum/forbidden_properties等约束规则. 支持按类型与条件查询实体、关联查询、依赖关系遍历.
中文优先：用于知识运维相关任务，帮助识别、设计、实现或验证对应工作流。English keywords: Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector…
Framework for when to use Skills, Agents, or Patterns for organizing knowledge in the ADLC platform with decision criteria and migration strategies
Help organize, link, and maintain the Basic Memory knowledge graph - find orphan notes, suggest relations, identify duplicates, and improve overall knowledge structure
Operate the local-first Weblyfe knowledge pipeline for ingesting documents and workspace content, embedding locally, semantic search, and graph exploration.
Batch-Umbenennung von Attachments (PDFs, Bilder) nach Konventionen. Autor-Jahr_Titel fuer Quellen, Kontext-basiert fuer Bilder.
Semantic search over ingested documents using RAG (LlamaIndex/ChromaDB or Foundational RAG)
Route a question or source event to the right knowledge sources, owners, and follow-up skill.
Use when you capture a learning and must decide where it lives. Route by type — shared construct to a skill, fact to memory, reference to a doc, behavior to a thin pointer — so it…
Teaches how to use Bluera Knowledge for accessing library sources and reference material. Explains two approaches - vector search via MCP/slash commands for discovery, or direct…
Retrieves implementation knowledge, code examples, and documentation references. Use to inform technical decision-making when the user requires specific library usage, framework…
Creating processes and tools for sharing knowledge across teams to reduce silos, onboard faster, improve team resilience, and foster innovation through cross-pollination of ideas.
Close lifecycle on a knowledge/ note. Three stages: Close (verify + used_in) → Extract (3 questions) → Backflow (route principle/SOP/signal).
Use when reviewing knowledge-base notes for sources, freshness, publication safety, broken links, or drift from current repository evidence.
Pluggable knowledge base manager for syncing and searching external content sources
Combines search results from multiple sources into coherent, deduplicated answers with source attribution.