273 boosters for "task" — open source, verified from GitHub, ready to install
Manage tasks and dependencies with Tracer CLI. Use for issue tracking, dependency management, finding ready work, and AI agent workflows.
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.
uni-cli is a unified command-line interface that enables AI agents to seamlessly interact with 25+ services (messaging, productivity, research, utilities) through a consistent pattern. Developers and AI builders benefit from simplified multi-service integration without learning individual APIs.
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.
A local SQLite-based command-line task board for AI agents and developers to manage multi-step coding tasks, track progress, and coordinate work across sessions without external dependencies. Ideal for breaking down complex implementations into trackable subtasks with comments and checklists.
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.
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.
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.
Use beads for structured task tracking with dependencies, recovery cards, and cross-session context management
Elastic-Claude provides local search infrastructure to index and retrieve project knowledge, helping developers quickly find related prior work and context when starting new tasks or ingesting documents.
This booster enables comprehensive SMILES molecular analysis for cheminformatics tasks, including validation, descriptor computation, and ADMET prediction. It's useful for chemists, drug developers, and AI assistants working with molecular structures.
Bexio integrates Swiss business software capabilities into Claude Code, enabling developers to programmatically manage contacts, invoices, quotes, and sales orders. Ideal for Swiss businesses and developers building automation tools for CRM and accounting workflows.
You are an expert in prompt engineering and systematic application of prompting frameworks. Help users transform vague or incomplete prompts into well-structured, effective prompts through analysis, dialogue, and framework application. When a user provides a prompt to improve, analyze across dimensi
Total Recall preserves Claude Code session context before resets or token limits, enabling developers to seamlessly restore complex work state and continue interrupted projects without losing critical decisions and artifacts.
Tools and workflows for managing issues, projects, and teams in Linear. 1. MCP Tools (mcp__linear) - Use if available in your tool set 2. Linear CLI ( command) - Always available via Bash
PR Metrics is a cross-platform GitHub Action and Azure DevOps task that analyzes pull request size and test coverage, updating PR titles with indicators (XS, S, M, L, XL, 2XL, etc) and test coverage symbols (✔ or ⚠️).
"name": "composure", "description": "Multi-tenant SaaS architecture plugin with decomposition enforcement, code quality hooks, task tracking, and structural code graph for impact-aware reviews.", "version": "1.18.7",
This skill is a practical AutoResearch-style loop for one narrow job: optimize Chinese communication copy until it reads more like something a real The user normally only needs to define:
"name": "workflow-orchestrator", "version": "1.14.0", "description": "Delegation system with workflow orchestration, specialized agents, and parallel execution for Claude Code",
A progressive-disclosure skill for ROS 2 development — from first workspace to production fleet deployment. Each section below gives you the essential decision framework; detailed patterns, code templates, and anti-patterns live in the
"name": "woterclip", "description": "Linear-backed agent orchestration with persona-based task routing for Claude Code", "repository": "https://github.com/wotai-dev/woterclip",
"name": "worktree-task", "description": "Manage large coding tasks using git worktrees and background Claude Code sessions. Supports launching, monitoring, resuming, and cleanup of autonomous tasks with alert notifications.", "keywords": ["worktree", "task", "background", "autonomous", "parallel", "
nano-spec is a lightweight, four-document specification methodology designed to help developers plan and document AI-assisted tasks in Windsurf through structured README, TODO, technical docs, and progress logs. It benefits teams wanting rapid, spec-driven development without heavyweight documentation overhead.
"name": "orchestrator", "description": "Autonomous Development Orchestrator - Transform ideas into production-ready applications through multi-agent pipeline. Spec → Plan → Tasks → 100% Working App.", "repository": "https://github.com/devsforge/orchestrator",
