By fadrienne
AgentDB skills for vector search, memory patterns, optimization, learning plugins, and ReasoningBank adaptive-learning integration.
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
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A repo containing a personal knowledge vault and a collection of AI-powered tools.
An AI-enhanced personal knowledge management system built on Obsidian. Open the Obsidian Mind/ folder as your vault root in Obsidian. Features lifecycle hooks, slash commands for common workflows, and multi-agent support (Claude Code, Codex, Gemini).
See CLAUDE.md for the full operating manual.
A bundle of 20 Claude Code skills for the scientific research lifecycle, plus 13 reusable prompts and a 4-agent subagent team (researcher, reviewer, writer, verifier). Skills cover the full pipeline from literature search and hypothesis generation through paper writing, peer review, and compute orchestration.
Skills include: alpha-research, autoresearch, deep-research, literature-review, paper-writing, peer-review, paper-code-audit, replication, source-comparison, ml-training-recipe, docker, modal-compute, runpod-compute, eli5, jobs, preview, session-log, session-search, contributing, watch
See feynman/AGENTS.md for agent conventions and feynman/skills/ for individual skill docs.
A design skill for AI coding assistants that makes generated UIs look made, not generated. Use for building new pages, auditing existing designs, redesigns, and extracting design patterns from URLs or screenshots.
Key features:
See hallmark/SKILL.md for usage.
A memory-centric agentic system for the full scientific research lifecycle, powered by Claude Code. Handles everything from literature ingestion and idea generation through experiment execution to paper writing and conference rebuttal.
Key features:
See autosci/README.md for setup and usage.
Python automation client for Google NotebookLM. List, create, and interact with notebooks; add URL sources; chat with content; and generate audio overviews — all from the command line or Python scripts.
See notebooklm/README.md for setup and usage.
A business dashboard for tracking key metrics and performance indicators.
See thrive-hub/ for details.
An open-source AI-powered software factory by Garry Tan (YC President & CEO) that transforms Claude Code into a virtual engineering team. Provides 23+ specialized skills covering the full product development lifecycle — from strategic planning and design through QA, security audits, and shipping.
Key features:
See gstack/README.md for setup and usage.
A curated collection of 24 Claude Code skills for scientific research, adapted from the K-Dense-AI open-source library. Covers the full research workflow from literature discovery through data analysis, molecular modeling, and publication.
Skill categories:
See scientific-agent-skills/README.md for setup and usage.
npx claudepluginhub p/fadrienne-agentdb-memory-plugins-agentdb-memoryClaude-flow v3 development skills: swarm orchestration, SPARC methodology, hooks automation, stream chaining, verification/quality, and the nine v3 architecture workstreams (CLI, core, DDD, integration, MCP, memory, performance, security, swarm coordination).
Audits AI instruction sets (CLAUDE.md, system prompts, skills) for over-prompting and prompt bloat.
Data collection and automation skills: Apify scraping, browser automation, and Google NotebookLM programmatic access.
GitHub workflow skills: code review, multi-repo coordination, project management, release management, workflow automation, repo importing, skill building, and pair programming.
Research, reasoning, and writing skills: arXiv lookup, Fabric patterns, wisdom extraction, multi-agent debate, first-principles reasoning, root cause analysis, systems thinking, scientific writing, and story writing.
Give your AI a memory — mine projects and conversations into a searchable palace. 35 MCP tools, auto-save hooks, and guided setup.
UI/UX design intelligence. Searchable local database with 84 styles, 161 palettes, 73 font pairings, 25 charts, and 17 stacks (React, Next.js, Vue, Nuxt.js, Nuxt UI, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Jetpack Compose, Angular, Laravel, JavaFX, Three.js). Use when designing, building, or reviewing UI: pages, components, color schemes, typography, layout, accessibility, animation, or data visualization.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Persistent file-based planning for AI coding agents. Crash-proof markdown plans (task_plan.md, findings.md, progress.md) that survive context loss and /clear, with an opt-in completion gate and multi-agent shared state. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. Includes Arabic, German, Spanish, and Chinese (Simplified and Traditional).