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Found 12,031 Skills
Juicebro Content Aggregation Skill. Enables Agents to query, aggregate, and navigate public content from "Juicebro" across 13 platforms including Weibo, Xiaohongshu, Douyin, Bilibili, Xueqiu, Toutiao, WeChat Official Account, Xiaoyuzhou, etc. Supports full-platform search, single-platform query, topic filtering, content type screening, summary report generation, and platform navigation recommendation. Note: This Skill is in the specification-first phase, and content acquisition depends on the Agent's own public access capabilities.
Framework for collective skill evolution in multi-user LLM agent ecosystems — automatically distills session experience into reusable SKILL.md files and shares them across agent clusters.
개발 DB에 SQL을 직접 실행하여 데이터를 조회하는 스킬. "DB 확인", "데이터 조회", "테이블 조회", "SQL 실행", "데이터 검증" 키워드로 트리거. AI 에이전트가 백엔드/프론트엔드 개발 중 개발 DB 데이터를 즉시 확인할 때 사용.
Richard Feynman's Integrity Audit applied to any analysis, business plan, or decision. Spawns a team of specialist agents — Source Auditor, Self-Deception Hunter, Translation Tester, Cargo Cult Inspector, Confidence Inverter — who each apply a distinct lens from Feynman's framework to detect dishonesty, self-deception, and cargo cult reasoning. The lead synthesizes into a verdict: is this analysis honest, or is it fooling itself? Use when the user says "feynman this", "integrity audit", "is this honest", "am I fooling myself", "cargo cult check", or wants to stress-test any analysis, plan, or claim before trusting it. Works standalone or as a meta-audit after /munger or /thiel.
Workato platform help — enterprise iPaaS, 1200+ connectors, recipe-based automation, API Management, MCP Gateway, Agent Studio (Genies AI agents), Data Tables, Event Streams, B2B/EDI, Embedded iPaaS, IDP. Use when recipe costs keep spiraling and you need to optimize task consumption, recipe errors are unclear and debugging is painful, evaluating Workato vs MuleSoft vs Boomi vs Celigo, setting up API management or MCP gateway, building Genies AI agents in Agent Studio, or connecting enterprise apps without coding. Do NOT use for simple Zapier/Make automations (use /sales-integration) or MuleSoft-specific questions (use /sales-mulesoft).
Use this skill to turn a raw user request into a structured, model-agnostic task brief before execution, and — when the brief survives confirmation — to be the sole entry point that creates a task directory at `.agents/tasks/<task-id>/`. Invoke whenever the request is complex, multi-step, cross-domain, ambiguous, or will be handed off to another model or agent. Also trigger when the user says things like 'help me figure out what I need', 'I'm not sure how to ask this', 'I want to do X but I don't know where to start', 'take this and make it clearer', or when the task mixes multiple goals or domains. Do NOT trigger for simple one-line requests with clear intent (e.g., 'fix the typo on line 42', 'rename this variable').
Build command-line interfaces for AI agents. Covers arguments, flags, subcommands, help text, output formats, error messages, exit codes, config/env precedence, and safe/dry-run behavior. Use when building a new CLI or refactoring an existing one for agent use.
Curates insights from reflections and critiques into CLAUDE.md using Agentic Context Engineering
Design a module's interface using parallel sub-agents producing radically different designs ("design it twice"). Compare on depth, simplicity, and efficiency. Embedded grill on the synthesized choice. Use when designing a new API, exploring interface options, or deciding the shape of a refactor before writing code.
each::sense is the intelligent layer for generative media. A unified AI agent that generates marketing assets, ads, product images, videos, and creative content. It knows all AI models and automatically selects the best one for your task. Use for any creative content generation request.
This skill helps agents use Figma's use_figma MCP tool in the FigJam context. Can be used alongside figma-use which has foundational context for using the use_figma tool.
Use when the user wants Claude Code to generate images from prompts, use /gi or /gi-setup, configure an OpenAI Images API-compatible endpoint, create placeholder images, delegate generation to a background subagent named painter, pass model parameters, choose output paths, or maintain an image index. If generation is requested before setup, guide the user through /gi-setup instead of failing.