975 boosters — open source, verified from GitHub, ready to install
Bip is a CLI tool for managing academic references locally and searching papers via external APIs, designed for researchers and developers working with the bipartite reference library. It helps users efficiently organize and discover academic papers while prioritizing local search over external API calls.
A Next.js skill booster that teaches fullstack React patterns including routing, SSR/SSG, API routes, and deployment best practices. Ideal for developers building server-rendered React applications or configuring Next.js projects for production.
List available skills and their activation methods
A plaintext-first docstring formatting specification for Python code that standardizes documentation style across projects. Developers writing or maintaining Python codebases benefit from consistent, readable documentation practices.
my-voice helps Pete maintain consistent, authentic tone and style across all written communication by providing clear voice guidelines and real-time feedback. Useful for anyone wanting to preserve a personal writing voice across diverse mediums.
A practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
Automates GitHub issue creation and management by inferring type, labels, and milestones from conversation context, saving developers time on routine issue tracking tasks.
Pi Integration enables developers to route coding tasks to Pi (an alternative AI agent) for comparison testing and benchmarking against Claude Code. It's useful for teams evaluating multiple AI coding assistants and want side-by-side performance comparison.
IMP is a unified shipping protocol that combines code execution, validation, and self-review using a TRACE methodology to ensure quality changes are deployed incrementally. It benefits developers and AI coding assistants who want to ship bead-scoped changes with built-in review cycles.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
yq is a YAML field extraction tool that lets Claude efficiently query specific data from YAML files while saving 80-95% context usage. Developers working with config files, Kubernetes manifests, and Docker Compose will benefit from faster, more focused file parsing.
A booster that helps developers optimize slow Python code through profiling, async/await patterns, and concurrent execution strategies. Ideal for Python developers dealing with performance bottlenecks who need guidance on measurement before optimization.
Analyze, review, and provide recommendations for distributed system designs. Use when: (1) Reviewing existing system architectures for gaps or improvements, (2) Analyzing system designs for scalability, reliability, or performance issues, (3) Providing recommendations on load balancing, caching, databases, sharding, replication, messaging, rate limiting, authentication, resilience, or monitoring, (4) Assessing trade-offs in system design decisions, (5) Creating system design review documents with gaps and recommendations. Triggers: "review my system design", "analyze this architecture", "what are the gaps", "system design recommendations", "scalability review", "reliability analysis".
ZAI CLI is a command-line tool that brings AI-powered capabilities—including vision analysis, web search, page reading, and GitHub exploration—directly to developers and AI coding assistants. It's useful for developers who need programmatic access to vision, search, and code discovery features.
Anti-Slop Toolkit provides automated detection and cleanup for AI-generated code patterns across Python, R, and text files, helping developers enforce quality standards in CI/CD pipelines and codebases.
Ray is an expert booster for Apache Ray distributed computing that helps developers convert Python code to Ray workloads, debug applications, and optimize performance across Ray's ecosystem (Core, Data, Train, Serve, Tune). Ideal for ML engineers and Python developers scaling computations from single machines to clusters.
Leta is a semantic code navigation booster that replaces manual file searching and ripgrep with fast LSP-powered commands for exploring code structure, finding symbols, and understanding dependencies. It benefits developers working with unfamiliar codebases, refactoring projects, and fixing type errors by dramatically speeding up code comprehension tasks.
This skill enables developers to manage Azure DevOps resources (repos, pipelines, boards, work items) directly from the command line using the az CLI. It's essential for teams using Azure DevOps who want to automate workflows and integrate DevOps operations into CI/CD scripts.
A practical guide to Supervised Fine-Tuning using SFTTrainer and Unsloth optimizations, enabling developers to efficiently adapt pre-trained LLMs for instruction-following with 2x faster training. Ideal for ML engineers building custom instruction-tuned models and reasoning systems.
Nix Development booster provides intelligent assistance for Nix/NixOS development by researching up-to-date information across multiple documentation sources. Developers working with Nix packages, flakes, derivations, and NixOS configurations benefit from accurate, context-aware guidance.
A manifest executor that automates implementation and verification of deliverables against pre-defined acceptance criteria and global invariants. Ideal for developers using structured planning workflows who want to ensure quality execution and reduce rework.
SWR is a React hook library for efficient data fetching with built-in caching, revalidation, and real-time updates. Developers building API-driven applications benefit from simplified server state management and automatic synchronization.
Research people and companies, add to CRM database with smart linking
Manage tasks and dependencies with Tracer CLI. Use for issue tracking, dependency management, finding ready work, and AI agent workflows.
