1,330 boosters — open source, verified from GitHub, ready to install
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.
Compares multiple trading strategies (long, short, or both) on the same symbol and generates side-by-side performance stats tables. Useful for quantitative traders and backtesting analysts who need to evaluate strategy performance variations quickly.
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.
A life management AI assistant that proactively handles daily planning, evening reviews, health tracking, and investment monitoring through event-driven workflows triggered by natural language keywords in both English and Chinese.
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.
Provides expert guidance on tRPC setup, type-safe API development, and React Query integration. Ideal for TypeScript developers building full-stack applications who want to eliminate manual type definitions and schema synchronization.
Chief Product Officer - assign executive product strategy, organization design, and portfolio decisions
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.
DyNote 是面向 Codex 这类 Agent 的抖音学习工具，不是一次性摘要器。核心原则是“数据资产先行，学习笔记后置”：先把字幕/转写、评论、元数据和 AI 快读沉淀为可复用资产，再按用户需求生成可追溯的学习笔记、总结和写作材料。默认目标不是字幕工程文件，而是先落一份原始数据包：、、、、、、，并用 归档可复用资产。默认把独立字幕轨或本地自动语音识别转写当作事实主干；当转写密度低、任务需要画面理解或用户只要快速筛选时，再用已登录抖音网页版的“问AI / 识别画面”补充，豆包只作为抖音 AI 不可用时的备用快读或待核验假设。 联网或登录态操作必须先使用 。不要读取、复制或打印 Cooki
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.
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.
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.
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.
Automates GitHub issue creation and management by inferring type, labels, and milestones from conversation context, saving developers time on routine issue tracking tasks.
Manage tasks and dependencies with Tracer CLI. Use for issue tracking, dependency management, finding ready work, and AI agent workflows.
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.
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
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.
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 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.
Provides structured guidance for working with CUE schema files and parsing flows in invkfile, invkmod, and config schemas. Developers maintaining or extending CUE-based configuration validation will benefit from this reference.
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.
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.
A Google Calendar CLI tool that enables AI assistants to view, create, manage, and check availability across multiple calendar accounts. Useful for developers and AI applications that need programmatic calendar integration.
