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Found 5,571 Skills
Generate a complete Rust Model Context Protocol server project with tools, prompts, resources, and tests using the official rmcp SDK
Generate high-divergence, out-of-the-box analysis plans and prompts that counter anchoring, mode collapse, and context bias while staying practical. Use when requests ask for unconventional strategies, non-obvious options, radical reframing, MCP-assisted synthesis across prior messages/sources, or "think differently" outputs that still require executable next steps.
Manage Alibaba Cloud Backup and Disaster Recovery Center (BDRC) via OpenAPI/SDK. Use for listing resources, creating or updating configurations, querying status, and troubleshooting workflows for this product.
Track data lineage and provenance from source to consumption. Use when auditing data flows, debugging data quality issues, ensuring compliance (GDPR, SOX), or understanding data dependencies. Covers lineage tracking, impact analysis, data catalogs, and metadata management.
Add, enrich, and manage contacts in Joel's Vault. Fire the Inngest enrichment pipeline for full multi-source dossiers, or create quick contacts manually. Use when: 'add a contact', 'enrich this person', 'who is X', 'VIP contact', 'update contact', or any task involving the Vault/Contacts directory.
Python tooling conventions. Use when working on .py files, pyproject.toml, or Python projects. Enforce uv for package management, ty for type checking. NOT for JavaScript/TypeScript projects or shell scripts.
How to read on-chain data in @aptos-labs/ts-sdk: view(), getBalance(), getAccountInfo(), getAccountResources(), getAccountModules(), getResource(). Triggers on: 'aptos.view', 'getBalance', 'getAccountInfo', 'getAccountResources', 'SDK query', 'view function TypeScript'.
Integrate Mem0 Platform into AI applications for persistent memory, personalization, and semantic search. Use this skill when the user mentions "mem0", "memory layer", "remember user preferences", "persistent context", "personalization", or needs to add long-term memory to chatbots, agents, or AI apps. Covers Python and TypeScript SDKs, framework integrations (LangChain, CrewAI, Vercel AI SDK, OpenAI Agents SDK, Pipecat), and the full Platform API. Use even when the user doesn't explicitly say "mem0" but describes needing conversation memory, user context retention, or knowledge retrieval across sessions.
Guides the agent through installing, configuring, and using Capacitor plugins from four sources — official Capacitor plugins, Capawesome plugins, Capacitor Firebase plugins, and Capacitor MLKit plugins. Covers installation, platform-specific configuration (Android and iOS), and basic usage examples. Do not use for migrating Capacitor apps or plugins to a newer version, setting up Capacitor Live Updates, or non-Capacitor mobile frameworks.
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps.
Expert skill for using OpenViking, the open-source context database for AI Agents that manages memory, resources, and skills via a filesystem paradigm.