social-writer
Create engaging content for social media platforms: X posts and threads, LinkedIn, Threads, Instagram, Facebook. Includes writing styles, AI-avoidance patterns, hooks catalog, and macOS Notes integration. Use when drafting social media posts, writing thread series, applying engagement hooks, or adapting content for specific platforms. Keywords: social media, X, LinkedIn, threads, posts, hooks, content strategy, AI writing avoidance.
tavily
Tavily AI search API for LLM applications: web search, content extraction, site crawling, mapping, and research. Use when integrating real-time web search into LLM apps, extracting content from URLs, crawling sites, or building RAG pipelines with web data. Keywords: Tavily, AI search, RAG, web search API, LLM search, extract, crawl, map, research, tavily-python.
telegram
Telegram Bot development playbook: bot fundamentals, aiogram 3 patterns (handlers/middlewares/FSM), webhooks, keyboard UX, inline mode, Mini Apps, payments (Stars/subscriptions), authentication. Use when building or modifying Telegram bots, setting up webhook infrastructure, implementing inline keyboards/callback queries, integrating Telegram payments or Stars, or working with aiogram 3 handlers and FSM. Keywords: Telegram, aiogram, Bot API, webhook, handlers, middlewares, FSM, inline keyboard, reply keyboard, callback_query, inline mode, Mini Apps, Web Apps, payments, Telegram Stars, Login Widget.
turso
Turso SQLite database. Covers encryption, sync, agent patterns. Use when working with Turso/libSQL embedded databases, configuring encryption-at-rest, setting up sync replication, or building agent-friendly database patterns. Keywords: Turso, libSQL, embedded, SQLite, encryption, sync.
vibekanban
Orchestrate AI coding with Vibe Kanban: tasks, review, sessions, workspaces, and isolated git worktrees. Use when managing AI-generated code in isolated environments, planning coding tasks, reviewing AI output, or configuring Vibe Kanban workspaces and agents. Keywords: Vibe Kanban, AI orchestration, worktrees.
vite
Vite next-gen frontend tooling: dev server, HMR, build, config, plugins, Environment API, Rolldown. Use when setting up or running a Vite project, configuring vite.config.*, authoring plugins, working with HMR or JS API, or managing environment variables and modes. Keywords: vite.config, bundler, Vite, HMR, Rolldown.
vitest
Vitest testing framework: Vite-powered tests, Jest-compatible API, mocking, snapshots, coverage, browser mode, and TypeScript support. Use when writing or configuring tests with Vitest, setting up mocking/snapshots, configuring coverage, or running browser-mode tests. Keywords: Vitest, testing, Vite, Jest, mocking, coverage.
zvec
Zvec in-process vector database. Covers collections, indexing, embeddings, reranking, and persistence. Use when embedding Zvec into applications or tuning retrieval/storage behavior. Keywords: Zvec, HNSW-RaBitQ, vector database, ANN.
base-ui
Base UI unstyled React components. Covers forms, menus, overlays, composition. Use when building accessible, unstyled React UI components with @base-ui/react, composing with render props, or implementing custom-styled form controls, menus, and overlays. Keywords: @base-ui/react, render props, unstyled components.
zcode-subagent
Delegate a coding task to a ZCode (GLM) subagent and get the result back. Use when the current agent should hand off or parallelize coding work. Keywords: ZCode, GLM, subagent, delegate, offload.
redis-js
Work with the Upstash Redis JavaScript/TypeScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating with @upstash/redis search extension), and all Redis data structures. Supports automatic serialization/deserialization of JavaScript types. Search also available via @upstash/search-redis and @upstash/search-ioredis adapters for TCP clients.
stop-slop
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
using-tmux-for-interactive-commands
Use when you need to run interactive CLI tools (vim, git rebase -i, Python REPL, etc.) that require real-time input/output - provides tmux-based approach for controlling interactive sessions through detached sessions and send-keys
finding-duplicate-functions
Use when auditing a codebase for semantic duplication - functions that do the same thing but have different names or implementations. Especially useful for LLM-generated codebases where new functions are often created rather than reusing existing ones.
mcp-cli
Use MCP servers on-demand via the mcp CLI tool - discover tools, resources, and prompts without polluting context with pre-loaded MCP integrations
windows-vm
Create, manage, or connect to a headless Windows 11 VM running in Docker with SSH access. Use when the user wants to spin up, stop, restart, or SSH into a Windows VM.
grepai-embeddings-openai
Configure OpenAI as embedding provider for GrepAI. Use this skill for high-quality cloud embeddings.
grepai-languages
Supported programming languages in GrepAI. Use this skill to understand which languages can be indexed and traced.
grepai-troubleshooting
Troubleshooting guide for GrepAI. Use this skill to diagnose and fix common issues.
grepai-workspaces
Configure multi-project workspaces in GrepAI. Use this skill for monorepos and multiple related projects.
grepai-config-reference
Complete configuration reference for GrepAI. Use this skill when you need to understand all available configuration options.
grepai-ignore-patterns
Configure ignore patterns in GrepAI. Use this skill when excluding files and directories from indexing.
grepai-init
Initialize GrepAI in a project. Use this skill when setting up GrepAI for the first time in a codebase.
grepai-ollama-setup
Install and configure Ollama for local embeddings with GrepAI. Use this skill when setting up private, local embedding generation.
grepai-quickstart
Get started with GrepAI in 5 minutes. Use this skill for a complete walkthrough from installation to first search.
grepai-chunking
Configure code chunking in GrepAI. Use this skill to optimize how code is split for embedding.
grepai-watch-daemon
Configure and manage the GrepAI watch daemon. Use this skill for real-time code indexing and file monitoring.
grepai-mcp-claude
Integrate GrepAI with Claude Code via MCP. Use this skill to enable semantic code search in Claude Code.
grepai-mcp-cursor
Integrate GrepAI with Cursor IDE via MCP. Use this skill to enable semantic code search in Cursor.
grepai-mcp-tools
Reference for all GrepAI MCP tools. Use this skill to understand available MCP tools and their parameters.
grepai-search-advanced
Advanced search options in GrepAI. Use this skill for JSON output, compact mode, and AI agent integration.
grepai-search-basics
Basic semantic code search with GrepAI. Use this skill to learn fundamental search commands and concepts.
grepai-search-boosting
Configure search result boosting in GrepAI. Use this skill to prioritize certain paths and penalize others.
grepai-search-tips
Tips and best practices for effective GrepAI searches. Use this skill to improve search result quality.
grepai-storage-gob
Configure GOB local file storage for GrepAI. Use this skill for simple, single-machine setups.
grepai-storage-postgres
Configure PostgreSQL with pgvector for GrepAI. Use this skill for team environments and large codebases.
grepai-storage-qdrant
Configure Qdrant vector database for GrepAI. Use this skill for high-performance vector search.
grepai-trace-callees
Find function callees with GrepAI trace. Use this skill to discover what functions a specific function calls.
grepai-trace-callers
Find function callers with GrepAI trace. Use this skill to discover what code calls a specific function.
grepai-trace-graph
Build complete call graphs with GrepAI trace. Use this skill for recursive dependency analysis.
grepai-installation
Multi-platform installation guide for GrepAI. Use this skill when installing GrepAI on macOS, Linux, or Windows.
grepai-embeddings-ollama
Configure Ollama as embedding provider for GrepAI. Use this skill for local, private embedding generation.
grepai-embeddings-lmstudio
Configure LM Studio as embedding provider for GrepAI. Use this skill for local embeddings with a GUI interface.
fastapi-templates
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
nodejs-backend-patterns
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
notion-research-documentation
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
auth-implementation-patterns
Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.
notion-knowledge-capture
Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.
github-actions-templates
Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.
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