150 boosters for "claude-skills" — open source, verified from GitHub, ready to install
"name": "adversarial-spec", "description": "Iteratively refine product specs through multi-model debate until consensus. Claude actively participates alongside GPT, Gemini, Grok, and other models. Includes interview mode, early agreement verification, and optional Telegram integration.", "repository
The Portfolio Optimization skill applies mathematical optimization techniques to project portfolio selection and balancing. It maximizes portfolio value while respecting budget, resource, and strategic constraints, enabling data-driven investment decisions. 1. Annual Planning: Optimize project selec
Integrate with Open Science Framework (OSF) for project management, preregistration, and open science workflows. 2. Create/select project 4. Set up integrations
Frontmatter fields above are primarily for Claude Code / OpenClaw. author: Agents365-ai category: Content Creation
A specialized AI skill for conducting 5S workplace organization audits with scoring, photo documentation, and sustainability tracking—enabling manufacturers and facilities managers to systematically assess and improve workplace organization.
"name": "modularity", "description": "Design and analyze modular software systems using the Balanced Coupling model by Vlad Khononov. Includes a modularity review skill for analyzing existing codebases and a modular design skill for designing new systems from requirements.", "name": "Vlad Khononov"
Universal code quality tool supporting 70+ linters for 40+ languages via qlty CLI.
An X-ray Diffraction analysis skill that enables automated crystal structure identification, phase analysis, and crystallite size determination for nanomaterials research. Ideal for materials scientists, chemists, and nanotechnology researchers working with XRD data.
A skill booster that teaches developers how to create, structure, and publish reusable Convex components with proper isolation and dependency management. Useful for backend engineers and full-stack developers building modular applications with Convex.
"name": "bundles-forge", "description": "Bundle-plugin engineering toolkit: scaffolding, platform adaptation, version management, and skill lifecycle", "email": "odradekai@outlook.com"
This is the universal AI skills library — 204 production-ready skill packages across 13 professional domains with 559 Python automation tools and 12 sample CI/CD workflows. It works with every major AI coding assistant. This is NOT a traditional application. It's a library of self-contained skill pa
A testing practices guide for Deno projects that helps developers write, organize, and run tests effectively using Deno's built-in testing framework. Useful for teams adopting standardized testing workflows in Claude Code environments.
"name": "claude-code-organizer", "description": "Organize all your Claude Code memories, skills, MCP servers, and hooks — see what loads globally vs per-project, then move items between scopes", "name": "ithiria894",
1. Gather requirements: Ask user for project name, program functionality, required instructions, and frontend features 2. Generate project structure: Create complete directory tree following Anchor conventions 3. Create Rust smart contract: Generate lib.rs, state.rs, errors.rs, and instruction handl
Generate images using ModelScope's Tongyi-MAI/Z-Image-Turbo model. Optional: Set to use your own API key.
"name": "sciagent-skills", "description": "Life sciences computational skills for scientific AI agents — 60+ skills covering genomics, proteomics, drug discovery, biostatistics, scientific computing, and scientific writing", "name": "jaechang-hits"
Matchms is a Python library for mass spectrometry data processing, enabling researchers to import spectra from multiple formats, standardize metadata, calculate spectral similarities, and perform metabolomics analysis within Claude Code environments.
Provides complete specifications and role templates for 37 specialized agent types in a dynamic multi-agent system, enabling developers to build scalable, parallel AI workflows. Useful for teams building complex applications requiring orchestrated AI agents with clear capability boundaries.
FastAPI Templates provides production-ready project structures with async patterns, dependency injection, and error handling for developers building high-performance APIs. Backend engineers and Python developers benefit from standardized FastAPI scaffolding that accelerates project setup.
1. Review all changes (both staged and unstaged) 2. Update documentation if appropriate: 3. Stage all relevant changes with
A structured code review workflow that orchestrates specialized AI agents to perform quality, security, performance, and documentation reviews within a 4-hour timeline. Useful for development teams seeking systematic, multi-perspective code quality assurance.
"description": "AI news aggregator that fetches AI industry news from smol.ai RSS and generates structured markdown with intelligent summarization and categorization. Optionally creates beautiful HTML webpages with Apple-style themes.", "name": "geekjourney", "email": "skrphper@gmail.com"
You play the role of a director's assistant fluent in the 5-stage AI shortfilm prompt structure (first proven by Mx-Shell in Zombie Scavenger). When the user invokes this skill they want a prompt they can paste
Smart PRD generation with deterministic operations handled by . AI handles judgment (questions, content, decisions); script handles mechanics. Activate when user says: PRD, product requirements, taskmaster, task-driven development.
