makefile
GNU Make automation and build system guidance. Use when creating or maintaining Makefiles, writing Make targets and recipes, or configuring GNU Make build automation. Keywords: Makefile, GNU Make, targets, recipes, build automation.
mantine-dev
Mantine UI library for React: 100+ components, hooks, forms, theming, dark mode, CSS modules, and Vite/TypeScript setup. Use when building React applications with Mantine components, configuring theming/dark mode, or working with Mantine hooks and forms. Keywords: Mantine, React, UI components, CSS modules, theming.
open-meteo
Integrate Open-Meteo Weather Forecast, Air Quality, and Geocoding APIs: query design, variable selection, timezone/timeformat/units, multi-location batching, and robust error handling. Use when fetching weather forecasts, air quality/pollen data, or geocoding place names to coordinates via Open-Meteo. Keywords: Open-Meteo, /v1/forecast, /v1/air-quality, geocoding-api, hourly, daily, current, timezone=auto, timeformat=unixtime, models, WMO weather_code, CAMS, GeoNames, httpx, FastAPI, pytest.
openapi
OpenAPI Specification (OAS 3.x): document structure, paths, operations, schemas, parameters, security schemes, and validation. Use when writing, reading, or validating OpenAPI specs, designing REST API schemas, or working with OAS 3.x document structure. Keywords: OpenAPI, OAS, Swagger, REST API, schemas.
openspec
OpenSpec artifact-driven workflow. Covers OPSX commands, schemas, project config. Use when applying the artifact-driven workflow (OPSX), planning or reviewing changes based on artifact dependencies, or working with OPSX commands and schema/template resolution. Keywords: OPSX, artifact graph, /opsx:.
perplexity
Integrate Perplexity API for web-grounded AI responses and search. Covers Sonar models, Search API, SDK usage (Python/TypeScript), streaming, structured outputs, filters, media attachments, Pro Search, and prompting. Use when building applications that need real-time web-grounded LLM responses, or integrating Perplexity Sonar models. Keywords: Perplexity, Sonar, sonar-pro, sonar-reasoning-pro, sonar-deep-research, web search API, grounded LLM, chat completions, perplexityai SDK, image attachments, PDF analysis.
postgresql
PostgreSQL best practices: multi-tenancy with RLS, schema design, Alembic migrations, async SQLAlchemy, and query optimization. Use when designing multi-tenant tables with Row-Level Security, debugging tenant isolation, creating/changing Alembic migrations, or optimizing PostgreSQL queries. Keywords: PostgreSQL, RLS, Alembic, SQLAlchemy, multi-tenancy.
project-creator
Project documentation scaffolding. Covers about.md, specs.md, architecture.md, project-context.md, and user stories. Use when creating or maintaining project documentation in a .project/ folder, scaffolding specs, architecture docs, or user stories. Keywords: project setup, documentation, specs, architecture, stories.
pydantic-ai
Pydantic AI Python agent framework. Covers typed tools, model providers, evals, MCP, UI adapters, and observability. Use when building Python AI agents with Pydantic AI, configuring model providers, implementing typed tools/dependencies, running evals, or integrating MCP servers. Keywords: pydantic-ai, agents, evals, MCP, Logfire.
qdrant
Qdrant vector database: collections, points, payload filtering, indexing, quantization, snapshots, and Docker/Kubernetes deployment. Use when managing Qdrant collections, performing vector searches with payload filters, configuring HNSW indexes or quantization, or deploying Qdrant clusters. Keywords: Qdrant, vector database, HNSW, quantization, semantic search.
react-testing-library
React Testing Library: user-centric component testing with queries, user-event simulation, async utilities, and accessibility-first API. Use when writing React component tests, selecting elements by role/label/text, simulating user events, or testing async UI behavior. Keywords: React Testing Library, @testing-library/react, user-event, queries, render.
refine-dev
Refine.dev headless React framework for CRUD apps: data providers, resources, routing, authentication, hooks, and forms. Use when building admin panels, dashboards, or internal tools with React and various backends (REST, GraphQL, Supabase, Strapi), or configuring Refine data providers and authentication. Keywords: Refine, CRUD, admin panel, data provider, React.
seaweedfs
SeaweedFS distributed storage. Covers filer, S3 API, replication, cloud tiers, and operations. Use when deploying SeaweedFS, configuring filer stores, exposing S3-compatible endpoints, or planning backup and security controls. Keywords: SeaweedFS, weed, filer, S3, object storage.
skill-master
Agent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.
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, embedding, reranking, persistence. Use when embedding Zvec as an in-process vector database, managing collections, configuring embedding/reranking, or running approximate nearest-neighbor searches. Keywords: Zvec, vector DB, ANN, SQLite for vectors.
deps-dev
deps.dev API v3 package metadata lookup. Covers version discovery, default/latest version, URL encoding. Use when querying package versions, checking latest releases, or looking up dependency metadata via the deps.dev API. Keywords: deps.dev, api.deps.dev, package versions.
github-stars-organizer
GitHub stars and lists organizer. Reuses existing lists, finds unlisted starred repositories, creates only necessary broad lists, and adds repos without disturbing existing assignments. Use when user asks to organize GitHub stars, sort starred repos, clean up lists, or file unlisted stars. Keywords: GitHub stars, GitHub lists, starred repositories, chrome-cdp.
k8s-cluster-api
Kubernetes Cluster API v1.12. Covers clusterctl CLI, ClusterClass, GitOps integration. Scripts for health checks, backup, migration, linting. Templates: clusters, DR, Prometheus. Use when provisioning, upgrading, or operating Kubernetes clusters with CAPI, or running clusterctl and ClusterClass workflows. Keywords: CAPI, clusterctl, kubeadm, cluster lifecycle.
openclaw
OpenClaw local AI assistant stack. Covers architecture, tools, gateway operations, channels, and onboarding. Use when deploying, configuring, or operating an OpenClaw instance, managing gateway routing, setting up channels, or working with the multi-agent tool governance system. Keywords: OpenClaw, gateway, tools, channels, agents.
pgvector
pgvector Postgres extension. Covers vector types, distance operators, indexing (HNSW/IVFFlat), and client library usage. Use when storing vectors in PostgreSQL, running nearest-neighbor searches, or configuring HNSW/IVFFlat indexes. Keywords: pgvector, PostgreSQL, vector search, HNSW, IVFFlat.
picoclaw
PicoClaw Go AI assistant. Covers CLI ops, config.json, channels, auth, skills, gateway. Use when running the PicoClaw CLI, configuring models/tools/gateway in config.json, or operating channels and authentication. Keywords: picoclaw, onboard, gateway, model_list.
pipecat
Pipecat realtime voice/multimodal bots. Covers pipelines/frames, transports, RTVI, Pipecat Cloud deploy. Use when building real-time voice bots (STT/LLM/TTS pipelines), multimodal AI agents, WebRTC/WebSocket transports, or deploying to Pipecat Cloud. Keywords: pipecat, pipecat-ai, RTVI, WebRTC, voice bot.
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.
slack-messaging
Use when asked to send or read Slack messages, check Slack channels, test Slack integrations, or interact with a Slack workspace from the command line.
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-chunking
Configure code chunking in GrepAI. Use this skill to optimize how code is split for embedding.
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.
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-watch-daemon
Configure and manage the GrepAI watch daemon. Use this skill for real-time code indexing and file monitoring.
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