By fadrienne
Claude-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).
Execute post-edit processing including formatting, validation, and memory updates.
Execute post-task cleanup, performance analysis, and memory storage.
Execute pre-edit validations and agent assignment before file modifications.
Execute pre-task preparations and context loading.
Cleanup and persist session state before ending work.
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
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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-swarm-v3-dev-plugins-swarm-v3-devAudits 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.
AgentDB skills for vector search, memory patterns, optimization, learning plugins, and ReasoningBank adaptive-learning integration.
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.
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.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
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.
Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer