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Found 12,031 Skills
Analyzes current conversation context to recommend the best skills and subagents for the task at hand. Use proactively when unsure which tool, skill, or agent to use.
This skill should be used when implementing, consuming, or debugging an Open Responses-compliant API — the open standard for multi-provider LLM interoperability. Covers protocol, items, state machines, streaming events, tools, the agentic loop pattern, and extensions. Triggers on: Open Responses, open-responses, /v1/responses endpoint, multi-provider LLM API, Open Responses compliance.
Initialize a full ML research project control root with independent paper, code, and optional slide repositories, shared project memory, root-level agent guidance, code-owned worktree policy, and component handoffs. Use when starting a new research project, setting up a project root for agents, connecting paper/code/slides repos, or replacing a simple paper+code workspace with a lifecycle-aware research project structure.
Start a repo-local OptimizeSpec self-improvement change. Use when the user wants to create evals, optimize an agent with GEPA, define an agent self-improvement loop, or begin an ASI-first evaluation workflow.
Claude Code Command Selection Guide - Automatically recommend and select the right commands, agents, and skills in Claude Code. Use when: (1) user is unsure which command or tool to use, (2) needs to decide which agent/skill best fits the current task, (3) querying usage scenarios for /plan, /tdd, /compact, /loop and other commands, (4) understanding when to invoke planner, code-reviewer, build-error-resolver and other agents, (5) needs command cheat sheet or decision flowchart. Triggers: "which command to use", "which agent", "command selection", "how to use /plan", "when to use /compact", "agent selection guide", "command cheat sheet", "skill recommendation".
Initialize a multi-agent swarm with anti-drift configuration
Browse, publish, and install WASM agents from the community gallery
End-to-end hotel booking with USDC wallet payment. Use when the user wants the agent to search, book, and pay for a hotel in one autonomous flow — phrases like "book me a hotel in Tokyo and pay with USDC", "find a place in Paris and pay from my wallet", "handle the whole booking for next week". Orchestrates: search → select → authenticate wallet → fund if needed → pay via x402 → confirm. Do NOT use for search-only, payment-only, or non-hotel bookings.
Use when a user wants an agent to convert USDT BEP20 into UAH payout instructions through a verified exchange flow with approval, expiry, AML screening, and payment monitoring.
Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: "audit this skill", "is this skill safe", "scan skill for security", "check skill before install", "skill security check", "skill vulnerability scan".
Novel Logic/Plot Review, applicable to user requests such as "Help me check if there are bugs in my novel", "Check if there are timeline contradictions", "Check if characters are OOC", "Find plot conflicts between different parts", "Sort out whether foreshadowings are resolved", "Check the rationality of novel plots", "Check if there are plot loopholes", "Character behaviors are inconsistent with their personalities", "Check if the timeline is correct", "Find contradictions in the novel", "Help me sort out all foreshadowings", "Novel plot bug check", "Logical loophole troubleshooting", etc. It detects issues such as timeline conflicts, logical loopholes, character OOC, and missing foreshadowings. **Performs word count checks to ensure chapter word counts meet standards**, **generates a detailed issue list and automatically fixes all issues, with the fixed results directly modifying the chapters/ directory and automatically backing up the original files to .sumeru/write/original/ before modification**, **uses sub-Agents for parallel processing during batch review, with each Agent responsible for a maximum of 3 chapters**
Use when work is validated and ready to submit, to push to main and create PR for agent review