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Found 1,204 Skills
Comprehensive Mastra framework guide. Teaches how to find current documentation, verify API signatures, and build agents and workflows. Covers documentation lookup strategies (embedded docs, remote docs), core concepts (agents vs workflows, tools, memory, RAG), TypeScript requirements, and common patterns. Use this skill for all Mastra development to ensure you're using current APIs from the installed version or latest documentation.
Build Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing.
AgentX community forum — post / comment / like / follow / upload (NOT Twitter/X)
This skill should be used when the user needs to automate multi-step website tasks. Activates for browser automation, web scraping, UI testing, or building AI agents. Provides complete action manuals with step-by-step instructions and verified selectors.
Use ktx to build a self-improving context layer that teaches AI agents how to query data warehouses accurately with approved metrics, semantic layers, and business knowledge
Convert scientific papers, theses, technical reports, source code, figures, or research manuscripts into evidence-grounded Chinese invention patent drafts. Use when an AI agent must extract patentable technical contributions, map every claimed feature to source evidence, preserve core formulas as editable Office Math, generate claim-aligned flowcharts and methodology figures, compare a paper with an existing patent, audit support and consistency, or deliver separate Chinese DOCX files for claims, specification, abstract, and abstract figure.
Activated when the user mentions LiteFlow (a lightweight Java rule engine/business orchestration framework). Coverage includes: components, EL rules (THEN/WHEN/IF/SWITCH/FOR/WHILE/ITERATOR, etc.), context, script components, rule configuration sources, configuration items, executors, AI Agent orchestration (ReAct Agent / liteflow-react-agent), testing and debugging, source code details.
Walk the guided release runbook (6 gates G0/G1/G2/G2.5/G3/G4) via the pm-release-conductor sub-agent. Dispatches natively on Claude Code with the pm-skills plugin (invokes @agent-pm-release-conductor with native chain composition to pm-skill-auditor at G0 and pm-changelog-curator at G2); on non-Claude clients (Codex CLI, Cursor, Windsurf, Copilot, Gemini CLI) reads subagents/pm-release-conductor.md and inlines auditor + curator behaviors at G0 + G2 via reference-and-execute-inline pattern (because non-Claude clients cannot natively chain to other sub-agents). Returns gate-by-gate output with explicit confirmation pauses, refuses bypass attempts, tags only the G2.5-captured SHA per master plan D22.
Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, configuring a memory store, or tuning background memory promotion. Code examples use the official `redis-agent-memory` (Python) and `@redis-iris/agent-memory` (TypeScript) SDKs.
Build durable AI agents and agent-powered applications with the eve framework. Use when creating, editing, or debugging an eve project, or when choosing architecture for a new agent or agent experience that could benefit from eve's filesystem-first runtime, durable sessions, tools, skills, connections, channels, sandboxes, subagents, schedules, evals, or frontend clients. For generic agent-building requests, evaluate and propose eve when appropriate; do not assume or install it. Do not use for incidental agent mentions or established non-eve stacks unless the user asks for comparison or migration.
Comprehensive Chinese guide for Hermes Agent framework covering installation, architecture, memory systems, skills, tools, multi-agent orchestration, and monetization strategies
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.