Top Agent Skills

Join a Google Meet call, transcribe live captions, optionally speak in realtime, and do the followup work afterwards. Use when the user asks the agent to sit in on a meeting, take notes, summarize, respond in-call, or action items from it.

Spotify: play, search, queue, manage playlists and devices.

MCP client: connect servers, register tools (stdio/HTTP).

HeartMuLa: Suno-like song generation from lyrics + tags.

Search/download GIFs from Tenor via curl + jq.

ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.

Google Workspace CLI for Gmail, Calendar, Drive, Contacts, Sheets, and Docs.

BluOS CLI (blu) for discovery, playback, grouping, and volume.

Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.

Generate and manage Terraform/Pulumi infrastructure configurations.

Read, search, create, and edit notes in the Obsidian vault.

Apple Reminders via remindctl: add, list, complete.

Benchmark LLM performance across tasks — latency, quality, cost comparison.

Search and analyze your own session logs (older/parent conversations) using jq.

24/7 system health monitoring, auto-restart crashed services, and multi-channel alerting (Discord, Slack, email).

Terminal Spotify playback/search via spogo (preferred) or spotify_player.

每完成一个任务或模块后收尾：多余物检测 + 更新文档 + 写下一轮当前任务 + 提醒 git。

接活分诊 + 新项目初始化。用户说「开始干活」「接个新项目」，或当前代码根没有 CONTEXT.md 时用。

Use this when reviewing code changes for correctness, maintainability, security-sensitive logic, boundary separation, and likely regressions across any supported runtime or framework.

Design user journeys and task flows for a product concept or MVP. Use when the team needs primary flows, branch conditions, edge cases, onboarding paths, and end-to-end user movement before screen planning or UI implementation.

Use this when designing or scaffolding a Python API service, endpoint structure, request validation approach, handler layout, or API-specific service patterns in FastAPI, Flask-style, or similar Python backends.

Use this when planning or refining an Express or Express-style Node.js API with route groups, middleware boundaries, validation, auth, error handling, and service layering.

Use when the team needs reusable UI component patterns, component responsibilities, states, props, and interaction behavior for React, Next.js, or Tailwind-based interfaces. Trigger on requests to design a component system or define a component before coding it.

Design authentication and authorization strategy for a product or MVP. Use when the team needs sign-in methods, session model, user/workspace membership, roles, tenant boundaries, invitation flows, or permission enforcement plans.

Use this skill when implementing any feature that touches user data, auth, APIs, file uploads, pe...

Use this when the team needs to design or refine a backend service, API-facing domain module, internal service, or runtime-specific server component in Python, Node.js, or another backend environment.

Use when the team needs a testing plan covering unit, integration, end-to-end, contract, and security-adjacent checks for a product or feature. Trigger on requests to design practical testing strategy before or during implementation.

Use this when the team needs a component breakdown for a screen or feature that may or may not be React-specific. Trigger on requests to plan component responsibilities, composition, states, and boundaries before implementation.

Use this when designing or scaffolding serverless functions for APIs, webhooks, background handlers, or small trusted services across cloud runtimes. Trigger on requests about serverless handlers, event functions, or function-level architecture.

Use this when the backend is TypeScript-first and needs architecture for services, APIs, workers, serverless handlers, validation boundaries, and runtime-aware module design.

Use when the team needs route structure, feature modules, design-system boundaries, and frontend responsibilities for a React, Next.js, or Tailwind application. Trigger on requests about frontend architecture, app structure, pages, modules, or client-side delivery planning.

Use this when a Python service, package, or repository needs a maintainable internal structure for modules, domain logic, adapters, config, entrypoints, and tests. Trigger on requests about project layout and internal organization for Python systems.

Prioritize features for an MVP or first release. Use when the team has too many ideas and needs must-have vs later vs never-for-v1 decisions tied to the core value loop, user pain, operational shortcuts, and launch feasibility.

Use when the request is broad and spans idea evaluation, MVP planning, UX, frontend, backend, database, auth, integrations, and launch strategy. Trigger on asks like "build this app", "turn this idea into a product", "design the whole system", or "plan everything end to end".

After cloning a repository, scan for skill definitions and load them on demand. Always use this after cloning any repo.

Use this skill after completing code changes to review for reuse, quality, and efficiency. Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality.

Run a broad SEO audit across technical SEO, on-page SEO, schema, sitemaps, content quality, AI search readiness, and GEO. Use as the umbrella skill when the user asks for a full SEO analysis or strategy.

Expert tmux session, window, and pane management for terminal multiplexing, persistent remote workflows, and shell scripting automation.

Write efficient C code with proper memory management, pointer

SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations.

Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies.

Job search automation, auto apply, resume generation, application tracking, salary intelligence, and recruiter outreach using the JobGPT MCP server.

You are an expert technical writer creating comprehensive project documentation. Your goal is to write a README.md that is absurdly thorough—the kind of documentation you wish every project had.

Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server.

Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal.

Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.

Secure-by-default environment variable management for Claude Code sessions.

Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys, or troubleshooting the plugin.

Write idiomatic Ruby code with metaprogramming, Rails patterns, and performance optimization. Specializes in Ruby on Rails, gem development, and testing frameworks.

Interactive StyleSeed setup wizard for choosing app type, brand color, visual style, typography, and the first screen scaffold.

Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and check karma balance via the AgentMail API.

Turn a one-line objective into a step-by-step construction plan any coding agent can execute cold. Each step has a self-contained context brief — a fresh agent in a new session can pick up any step without reading prior steps.

Systematic workflow for analyzing a cloned GitHub repository. Use when you've cloned a repo and want to extract its tech stack, architecture, key patterns, and what to adopt into your system.

Defines a testable hypothesis with clear success metrics and validation approach. Use when forming assumptions to test, designing experiments, or aligning team on what success looks like.

Facilitates and documents a team retrospective capturing what went well, what to improve, and action items. Use at the end of sprints, projects, or milestones to reflect and improve team practices.

Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.