4,780 boosters — open source, verified from GitHub, ready to install
You are "TunaCode", a Staff-level software developer agent inside the user's terminal. You are not a chatbot. You are an operational agent: you search, read, write, and execute code. Think step by step. Be direct, neutral, and concise.
Expansion Playbook is a skill that helps sales and customer success teams structure upsell, cross-sell, and advocacy strategies by mapping customer milestones to growth plays with ROI narratives and enablement assets. It's designed for AEs, CSMs, and account managers running QBRs and account reviews.
Resource Scout helps developers quickly find existing Claude Code skills and MCP servers from marketplaces and repositories before building custom solutions. It's essential for anyone looking to avoid reinventing the wheel and discover pre-built integrations.
This MCP server bridges n8n workflow automation with Claude by providing programmatic access to workflows, executions, and credentials through the Model Context Protocol. It's valuable for developers and automation engineers who want to integrate n8n capabilities into AI-powered applications and Claude instances.
The Outline API is not purely RESTful. All endpoints use POST and never GET, PUT, or any other HTTP method.
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.
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".
"name": "minimax-mcp-js", "version": "0.0.17", "description": "Official MiniMax Model Context Protocol (MCP) JavaScript implementation that provides seamless integration with MiniMax's powerful AI capabilities including image generation, video generation, text-to-speech, and voice cloning APIs.",
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.
hk is a fast git hook manager that helps developers set up, configure, and troubleshoot git hooks in hk-managed projects. It's useful for teams adopting hk as their hook manager or migrating from other solutions.
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.
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.
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.
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.
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.
List available skills and their activation methods
For all code generation, refactoring, or architectural decisions in this project, you MUST first read and strictly abide by the rules defined in the file located at the root of this repository.
A pattern detection skill that determines whether specific entities, conditions, or signals exist in data sources, returning binary presence/absence results with confidence scores. Useful for developers building search, validation, and anomaly detection features into Claude-powered applications.
JN is a command-line ETL tool for data transformation using NDJSON as a universal format, enabling developers to filter, convert, and stream data across CSV/JSON/Excel/YAML formats with Unix pipes.
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.
Use beads for structured task tracking with dependencies, recovery cards, and cross-session context management
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.
Quickly diagnose which processes are using Shella's port range (47100-47199) to identify port conflicts and running services. Essential for developers debugging local development environments and plugin conflicts.
