Knowledge Skill Leaderboard

Converts codebases, docs, and media into a persistent knowledge graph with tools for architecture analysis and GraphRAG JSON export.

A knowledge graph tool for visualizing codebase structure, extracting domain flows, and analyzing pull request risks.

A suite of skills for AI agents to manage Obsidian vaults, edit JSON Canvas files, and debug plugin development.

A converter that extracts frameworks and principles from documents to create structured skills for AI coding assistants.

Automates source-grounded research and the filing of cited dossiers into an Obsidian Markdown knowledge graph.

Connects Claude Code to NotebookLM for source-grounded queries against uploaded documents, with notebook library management and citation-backed answers.

A toolkit for multi-model consultation via Grok, shared agent memory management, and ASR-based audio transcription.

A set of skills for systematic book study and expert code review focusing on knowledge retention and software architecture.

Generates Excalidraw, Mermaid, and Obsidian Canvas diagrams from text, supporting animations, mind maps, and spatial layouts.

A memory system for AI agents that automates knowledge distillation and conversation mining into an Obsidian wiki.

Manages a personal LLM-powered knowledge base by compiling immutable raw sources into structured wiki articles.

Compiles documents and research papers into a persistent, citation-traceable wiki for agent retrieval and grounded reasoning.

Designs agent-walkable folder pipelines, knowledge libraries, and codebase maps with explicit routing, state, and review contracts.

Manages project knowledge by drafting architectural contributions and coordinating durable team handoffs.

A set of tools and guides for designing, testing, and refining AI skills and agents using context engineering and evaluation metrics.

Analyzes actual Azure spend and bill changes with specific support for AKS, Cosmos DB, and AI resource costs.

Converts documents and codebases into Obsidian StudyVaults with concept notes, practice questions, and interactive quizzes that track progress and drill weak areas.

A multimodal parsing and ontology-powered knowledge engine designed for Graph-RAG and AI agent integration.

Provides core architecture for Deep Agents, including harness configuration, SKILL.md formatting, and persistent memory backends.

A knowledge engine featuring strategic research decomposition, intelligent thought capture, and closed-loop verification for AI agents.

Generates structured deep-reading notes and glossary entries from academic papers for use in Obsidian vaults.

Tools for automating Obsidian knowledge bases and implementing rigorous evaluation and auditing for AI agents.

Operational skills for forward deployed engineers to audit implementations, draft executive memos, and manage AI agent engagements.

Covers idiomatic Synalinks development: data models, program APIs, modules, control flow, agents, RAG, training, rewards, and providers.

Extracts decisions and action items from transcripts and messages to populate GitHub issues and knowledge bases.

A collection of Claude skills for branded presentation generation, Remotion video workflows, runbook creation, MCP server integration, and custom skill development.

A library of 200 Claude Code skills for Bioconductor packages, enabling annotation, enrichment, epigenomics, genomics, and general bioinformatics tasks within an agent workflow.

Creates a detailed, phased PRD for building an AI second brain based on user requirements covering memory, hooks, RAG, integrations, proactive systems, chat, and security.

Ingests raw sources into interlinked Obsidian wiki pages, answers questions by searching the vault, and audits for broken links, contradictions, orphan pages, stale claims, and missing cross-references.

A local knowledge base retriever that uses hierarchical indexing and format-specific tools to query markdown, text, PDF, and Excel files.

Local hybrid search for markdown files using BM25 keyword search and semantic vector search.

Provides AI agents with multi-school trading frameworks, including ICT/SMC and Wyckoff, for OHLCV data analysis and chart annotation.

A gaming skill set for managing interactive story campaigns and the creation of virtual character tokens.

Self-compiling Obsidian markdown wiki with ingest, compile, query, lint, and audit operations for persistent, feedback-improved knowledge management.

A continuously curated runbook that activates every session to store reusable guidance, gotchas, and directives for faster and more reliable agent execution.

Restructures oversized SKILL.md files and scattered project rules into a organized directory to improve AI agent routing and maintenance.

Implements knowledge graph construction—including ontology design and entity fusion—and multi-agent task orchestration using graph-based workflows.

Retrieves captions and metadata from various video sites to create Markdown notes with transcripts and source provenance.

Automates source-grounded research and artifact generation using NotebookLM to create cited answers, reports, and content drafts from provided sources.

An options trading assistant for US equities that tracks dealer gamma, dark pool flow, and multi-leg strategy setups.

A pipeline for converting long-form content into source-grounded skills featuring progressive concept teaching, terminal visuals, and graduation evaluations.

Connects Claude Code to Obsidian’s official CLI for vault-wide CRUD, search, task management, properties, backlinks, sync history, and daily note automation.

A persistent memory system that connects conversations to a knowledge tree for improved recall and reasoning during technical work.

A structured reading workflow that applies multiple thinking models to articles and papers, from quick SCQA breakdowns to multi-source research synthesis.

Creates evolving AI replicas of teammates from collected Slack/Teams/GitHub data, combining work expertise and a 5-layer persona for knowledge retention.