Tag: knowledge-base

Analyzes a codebase with a multi-agent pipeline to build a knowledge graph of files, functions, classes and dependencies plus an interactive dashboard for architecture tours, semantic search and change impact analysis. Also handles knowledge bases; the first run uses many tokens.

From Obsidian CEO Steph Ango (kepano): teaches agents to write Obsidian-flavored Markdown, Bases and Canvas files and work with vaults through the Obsidian CLI, plus skills like web page content extraction. Also installable into Codex and other agents via npx skills.

Teaches agents to read and write Obsidian vaults: Obsidian-flavored Markdown, Bases data views, JSON Canvas and the Obsidian CLI, plus Defuddle web content extraction and Knap template rendering. Maintained by Obsidian CEO kepano.

Personalized tutoring system from HKU's HKUDS: build a knowledge base from textbooks for Q&A, step-by-step solutions and quizzes, for teachers and self-learners. The deeptutor command outputs JSON for agents like Claude Code. Needs Python 3.11+, Node.js 20+ and an LLM API key.

Distills technical books, doc folders or paper collections (PDF, EPUB, DOCX, Markdown and more) into an agent skill with a core framework, on-demand chapter files, glossary and cheat sheet for lookup while working. Extraction needs local Python; poppler or docling optional for PDFs.

Official CLI for Tencent's open-source knowledge base platform WeKnora: upload documents, manage knowledge bases, run hybrid search and answer questions from them, or serve as a read-only MCP. Needs your own WeKnora deployment and a source build with Go 1.26+.

Runs the cognee memory engine as an MCP server whose remember, recall and forget tools write documents and conversations into a knowledge graph and vector store for cross-session retrieval. Start it with Docker or uv first; needs an LLM API key by default, or connect to Cognee Cloud.

Writes conversations and business data into Graphiti's temporal knowledge graph so agents can retrieve long-term memory by entity, fact and time. Open source from Zep; start FalkorDB or Neo4j and the server with Docker first, and configure an LLM API key.

Turns resolved tickets, common questions or workarounds into publish-ready knowledge base articles, structured as how-to guides, troubleshooting, FAQs or known issues, and optimized for search. From Anthropic's official customer-support plugin.

Before replying to a customer, verifies answers across the knowledge base, past tickets, CRM and chat history, grades confidence and cites sources; can also find whether an issue was reported before or what a customer was told. From Anthropic's official customer-support plugin.

Customer support plugin: triages and prioritizes tickets with routing suggestions, drafts customer replies, packages escalations, researches customer issues across sources and turns resolved issues into knowledge base articles. Official from Anthropic.

Anthropic's official knowledge work plugin: one question searches your connected chat, email, cloud docs, wiki and project tools at once and returns a sourced answer; can also produce daily or weekly digests. Preset MCP connectors for Slack, Notion, Atlassian, Asana and more, each needing auth.

Answers employee policy questions in plain language, such as PTO, benefits, expenses, travel and remote work, with sources cited. Paste the handbook into the chat, or connect Notion, Confluence or another knowledge base to search automatically, cutting repeat HR questions. Official from Anthropic.

Turns processes that live in people's heads into SOPs: flowcharts, a RACI matrix (responsible, accountable, consulted, informed), detailed steps and exceptions, ready for handoffs, audits and onboarding. Describe the process or paste existing notes. Official from Anthropic.

Distills a colleague, friend or public figure's chats, documents and public material into a persona profile packaged as a callable skill, for handoffs and preserving know-how. Collects material from Lark, DingTalk, Slack and more. Mind privacy and consent when using others' data.

Unofficial Python library and CLI for driving Google NotebookLM (now Gemini Notebook): bulk-import sources, ask cited questions, and generate and download podcasts, videos, slides, quizzes and flashcards. Ships an agent skill. Relies on undocumented APIs and needs a Google sign-in.

Official Lark (Feishu) CLI with 200+ commands for messages, docs, Base, Sheets, calendar, mail, approvals, OKRs, meetings and Minutes, plus 20+ bundled lark-* agent skills and structured output. Create a Lark app and sign in first.

Official Lark (Feishu) skill to read, create and edit Lark docs and wiki pages, insert or download images and attachments, and work with whiteboards and mind notes. Depends on lark-cli and the lark-shared skill; requires Lark authorization.

Turns an Obsidian vault into a local-first knowledge base: imports sources into interlinked notes with citations, answers questions from what is already in the vault, and adds 15 skills including search, vault health checks and Canvas knowledge graphs.

ConardLi's skill collection: turn articles or scripts into web presentations you can screen-record as videos (23 themes, optional voiceover), lay out material as shareable long-form web pages, search local knowledge base folders, web design, and GPT-Image-2 image generation with 79 templates.

Deep research assistant that runs locally with a built-in MCP server: searches arXiv, PubMed, Wikipedia and more over multiple rounds and writes cited reports. Needs Python 3.12+, uv and an LLM (local Ollama or an API key); web search needs SearXNG or similar. Runs take minutes to half an hour.

Turns conversations and notes into structured Notion pages such as team wikis, how-to guides, decision records and FAQs, linked to related pages. From OpenAI's official plugin repo (developer: Notion); needs the Notion MCP.

Prepares meetings using past notes, requirements and decisions in Notion: picks a template by meeting type, drafts the agenda and pre-reads, and adds research. From OpenAI's official plugin repo (developer: Notion); needs the Notion MCP.

Searches multiple pages in your Notion workspace and turns them into briefs, research summaries, comparisons or full reports with citations, written back to Notion. From OpenAI's official plugin repo (developer: Notion); needs the Notion MCP.