AI Agent Skills

Weekly diagnostic report on a user's research knowledge base — flags stale profiles (not updated in weeks), thesis drift (AI detects original premise no longer holds), a…

Search, read, create, and update knowledge base entries via MCP-connected KB tools. Use when the user asks to look up documentation, find existing articles, check if doc…

Markdown knowledge base with bidirectional [[link]]s built on top of VSCode

Seed a fresh (greenfield) repository with the PRD-Driven Context Engineering scaffold — PRD.md, SoT/ knowledge files, EPIC templates, domain-profile config, and agent ME…

A local-first knowledge management app

Use this skill when the user wants a systematic review, thematic synthesis, or cross-document analysis across multiple academic papers OR provided general documents (rep…

Use for structured long-form writing, including blogs, reports, proposals, plans, PRDs, competitive analyses, research summaries, technical design docs, internal briefin…

DyNote: systematically and efficiently extract raw Douyin/DY video data and analyze videos, comments, accounts, hashtags, and short-video scenes into evidence-graded lea…

Wysiwyg markdown whiteboard for note-taking and building team knowledge base.

Plain text file based note taking and knowledge base building tool, markdown editor, simple browser IDE.

Import knowledge from existing documents into structured KB entries. Reads source documents (Markdown, PDF, DOCX, plain text), extracts key information, and creates prop…

Unified OKF Harness entrypoint for Claude Code. Use when the user asks to create, find, select, repair, check, ingest into, reconcile, answer from, or graph an OKF Harne…

Multi-reviewer peer-review system for food & nutrition manuscripts. Simulates an editorial panel — a coordinating editor, three domain reviewers (methodology/statistics,…

Entry point / dispatcher for the security-harness. Use when the user asks for any application-security work - 'security review', 'audit this codebase', 'pentest', 'find…

Guides designing retrieval-augmented generation (RAG) pipelines: document chunking, embedding, indexing, retrieval, and grounding LLM output in retrieved content. Use wh…