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Found 13,195 Skills
Use this skill to Upgrade Einstein Bots into Agentforce agents end-to-end in a single pass, orchestrating per-bot Agent Spec generation, planner reconciliation across bots, agentforce-generate authoring, and post-conversion .agent enhancements. TRIGGER when: user asks to migrate, upgrade, or convert one or more Einstein Bots to Agentforce; runs a multi-bot bot-to-agent upgrade; needs Einstein Bot metadata turned into Agent Spec handoffs and generated .agent agents; convert bots to agents; upgrade my service bots; move bots to Agentforce. DO NOT TRIGGER when: user already has an approved Agent Spec and only wants direct .agent authoring, deploy, test, or observe flows; the request is unrelated to Einstein Bot migration.
Drive comprehensive test creation for a feature, spec, module, or PR. Decide what must be tested, pick the testing strategy at the lowest sufficient cost, drive the test producers to author the tests, run them, and record the session — what was tested, by what test type, and what passed — in specs/<feature>/test-spec.md and test-report.md. Drives the producers create-yaml-tests and create-agent-tests.
Build autonomous AI agents with Claude Agent SDK. Structured outputs guarantee JSON schema validation, with plugins system and hooks for event-driven workflows. Prevents 14 documented errors. Use when: building coding agents, SRE systems, security auditors, or troubleshooting CLI not found, structured output validation, session forking errors, MCP config issues, subagent cleanup.
Design and build AI agents for any domain. Use when users: (1) ask to "create an agent", "build an assistant", or "design an AI system" (2) want to understand agent architecture, agentic patterns, or autonomous AI (3) need help with capabilities, subagents, planning, or skill mechanisms (4) ask about Claude Code, Cursor, or similar agent internals (5) want to build agents for business, research, creative, or operational tasks Keywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration
Configure AI coding agents like Cursor, GitHub Copilot, or Claude Code with project-specific patterns, coding guidelines, and MCP servers for consistent AI-assisted development.
Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.
Register and manage AI agent identities on Avalanche C-Chain using ERC-8004 (Trustless Agents). Use this skill when the user wants to register an AI agent on-chain, give or read reputation feedback, request validation, or interact with ERC-8004 identity/reputation/validation registries on Avalanche mainnet or Fuji testnet.
Manage concentrated liquidity (CLMM) positions on DEXs like Meteora and Raydium. Create, monitor, and rebalance LP positions automatically.
NEAR AI agent development and integration. Use when building AI agents on NEAR, integrating AI models, creating agent workflows, or implementing AI-powered dApps on NEAR Protocol.
Guidelines for creating AI agent skills. Use when writing new skills, documenting coding patterns, or reviewing skill files. Triggers when creating or modifying files in the skills/ directory.
Guides architects on when and how to use goal-seeking agents as a design pattern. This skill helps evaluate whether autonomous agents are appropriate for a given problem, how to structure their objectives, integrate with goal_agent_generator, and reference real amplihack examples like AKS SRE automation, CI diagnostics, pre-commit workflows, and fix-agent pattern matching.
GoPlus AgentGuard — AI agent security guard. Automatically blocks dangerous commands, prevents data leaks, and protects secrets. Use when reviewing third-party code, auditing skills, checking for vulnerabilities, evaluating action safety, or viewing security logs.