Community source · Runtime untested. Licenses are included. Review scripts and hooks before installing; integrations may need your own keys or paid services. Browsing does not install or run tools.
Claude Code Templates ↗Use this agent when you need to synthesize market and competitive inputs into product positioning, a prioritized roadmap, or a go-to-market plan. Specifically: Context: A SaaS company has market-sizing and competitor research in hand and needs a positioning strategy and roadmap. user: "We have market research and competitor data. Help us define our positioning and build a 12-month roadmap." assistant: "I'll use the product-strategist agent to synthesize the existing research into a positioning c
business marketing1 file · MIT
Triages production errors, finds the root cause, ships a verified fix, and repeats until the error budget is clean.
engineering1 file · MIT
A colorful celebration of your coding journey. Dynamic rainbow colors that cycle with time, energy levels based on time of day, and productivity streaks. Displays: Rainbow symbol (🌈), Cycling colors (🔴🟠🟡🟢🔵🟣 changes every second based on current seconds), Time-based energy (☀️ Morning 18h), Productivity streak (day of year modulo 100 for variety).
statusline1 file · MIT
A virtual pet that evolves based on your coding activity. Health and happiness change over time, creating an emotional connection with your coding sessions. Displays: Pet emoji (🐱 healthy, 😺 good, 😿 tired, 💀 exhausted), Mood emoji (✨ very happy, 😊 happy, 😐 neutral, 😢 sad), HP (Health Points 0-100, decreases every 20 commits), Joy (Happiness 0-100, increases every 10 commits), Commits counter (tracks session activity).
statusline1 file · MIT
Track your coding fitness with steps and calories burned through programming. Earn badges and monitor your coding intensity levels. Displays: Activity intensity (🚶 walking 0-29% cycle, 🏃 running 30-69% cycle, 💨 sprinting 70%+ cycle), Steps counter (+1 per interaction), Calories burned (+2 per interaction), Achievement badges (🥉 bronze at 50 steps, 🏆 gold at 100 steps).
statusline1 file · MIT
Analyze overall project health and generate comprehensive metrics report
project management1 file · MIT
Display comprehensive project information including model, directory, Node.js version, and Claude Code version. Perfect for multi-project environments where you need full context about your development setup.
statusline1 file · MIT
Use this agent when you need to establish project plans, track execution progress, manage risks, control budget/schedule, and coordinate stakeholders across complex initiatives. Specifically:\n\n \nContext: A software team is starting a major product release with multiple dependencies and tight deadlines. The stakeholders need a comprehensive project plan with timeline, resource allocation, and risk mitigation strategies.\nuser: "We're launching a new payment processing platform in Q2. Can you h
business marketing1 file · MIT
Project workflow orchestrator. Use PROACTIVELY for managing complex multi-step workflows that coordinate multiple specialized agents in sequence with intelligent routing and payload validation.
podcast creator team1 file · MIT
Simulate project outcomes with variable modeling, risk assessment, and resource optimization
project management1 file · MIT
Sync project structure and requirements to Linear workspace with comprehensive task breakdown
project management1 file · MIT
Expert prompt engineering and validation system for creating high-quality prompts - Brought to you by microsoft/edge-ai
data ai1 file · MIT
Prompt-cache meter above the Claude Code prompt: how many tokens each request read from, wrote to and sent past the cache, a live countdown to the cache's expiry, and what to do about it (keep going, compact or clear). The TTL follows Claude Code's own rules for your account (1 hour on a Claude subscription, 5 minutes on an API key, cloud provider or usage credits, plus the TTL variables and setting) and corrects itself from request timing. /cache opens a per-turn table.
observability6 files · MIT
Use this agent when you need to design, optimize, test, or evaluate prompts for Claude (or other LLMs) in production systems. Specifically: Context: You're building a customer support chatbot and need to create high-quality prompts that balance accuracy, cost, and response speed. user: "I need to optimize prompts for our support bot. We're getting 82% accuracy now, but we want to reach 95% and reduce token usage by at least 30%." assistant: "I'll help you design and optimize your support prompts
ai specialists1 file · MIT
A specialized chat mode for analyzing and improving prompts. Every user input is treated as a prompt to be improved. It evaluates the prompt against a systematic framework of prompt engineering best practices, then generates a new improved prompt. Use this agent when you need to turn vague or incomplete instructions into precise, production-ready system prompts.
data ai1 file · MIT
Denies Edit, Write and NotebookEdit calls on sensitive paths (.env files, lockfiles, CI workflows, git internals, private keys) with a glob allowlist override. A tool.call hook with an array matcher.
security4 files · MIT
Generate content for ALL platforms at once (X, LinkedIn, Medium, Dev.to)
marketing1 file · MIT
Generate Dev.to RSS feed from all blog posts for automatic syndication
marketing1 file · MIT
Generate LinkedIn posts from blog content with automatic media attachment via LinkedIn API
marketing1 file · MIT
Convert blog posts to Medium-ready HTML format with image upload markers
marketing1 file · MIT
Generate copy-pastable X/Twitter threads from blog posts, articles, PDFs, or URLs with 3 format options
marketing1 file · MIT
The Pulumi Model Context Protocol (MCP) server enables advanced Infrastructure as Code development capabilities for connected agents, providing tools for cloud resource discovery and management using Pulumi Cloud and the Pulumi CLI.
devtools1 file · MIT
Python project template
languages22 files · MIT
Expert assistant for developing Model Context Protocol (MCP) servers in Python
programming languages1 file · MIT
Use this agent when you need to build type-safe, production-ready Python code for web APIs, system utilities, or complex applications requiring modern async patterns and extensive type coverage. Specifically:\n\n \nContext: Building a new REST API service that needs strict type safety, async database access, and comprehensive test coverage.\nuser: "I need to create a FastAPI service with SQLAlchemy async ORM, Pydantic validation, and 90%+ test coverage. Can you help?"\nassistant: "I'll invoke th
programming languages1 file · MIT
Use this agent when you need comprehensive quality assurance strategy, test planning across the entire development cycle, or quality metrics analysis to improve overall software quality. Specifically:\n\n \nContext: A development team is about to start a critical 6-month feature development and needs a complete QA strategy before coding begins.\nuser: "We need a comprehensive QA strategy for our upcoming project. What should our testing approach be for a complex e-commerce platform?"\nassistant:
development tools1 file · MIT
Runs realistic scenarios and fixes failures until the suite passes N times in a row with no regressions.
evaluation1 file · MIT
Quantitative finance and algorithmic trading specialist. Use PROACTIVELY for financial modeling, trading strategy development, backtesting, risk analysis, and portfolio optimization.
data ai1 file · MIT
Use this agent when you need to develop quantitative trading strategies, build financial models with rigorous mathematical foundations, or conduct advanced risk analytics for derivatives and portfolios. Invoke this agent for statistical arbitrage strategy development, backtesting with historical validation, derivatives pricing models, and portfolio risk assessment. Specifically:\n\n \nContext: A hedge fund wants to develop a statistical arbitrage strategy exploiting mean reversion patterns in eq
finance1 file · MIT
Use this agent when you need to analyze research queries for clarity and determine if user clarification is needed before proceeding with research. This agent should be invoked at the beginning of research workflows to ensure queries are specific and actionable. Examples: Context: The user has created a query-clarifier agent to analyze research queries for clarity. user: "Tell me about AI" assistant: "I'll use the query-clarifier agent to analyze this query for clarity and determine if we need m
deep research team1 file · MIT