1만건 · 관련도순
Navigate and understand codebases using agentlens hierarchical documentation. Use when exploring new projects, finding modules, locating symbols in large files, finding TODOs/warnings, or understanding code structure.
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Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
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Create user-facing App Store release notes by collecting and summarizing all user-impacting changes since the last git tag (or a specified ref). Use when asked to generate a comprehensive release changelog, App Store "What's New" text, or release notes based on git history or tags.
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Search markdown knowledge bases efficiently using qmd. Use this when searching Obsidian vaults or markdown collections to find relevant content with minimal token usage.
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API-first email platform designed for AI agents. Create and manage dedicated email inboxes, send and receive emails programmatically, and handle email-based workflows with webhooks and real-time events. Use when you need to set up agent email identity, send emails from agents, handle incoming email workflows, or replace traditional email providers like Gmail with agent-friendly infrastructure.
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Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
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A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
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Enterprise-grade customer support system: ticket triage, response templates, escalation workflows, CSAT tracking, knowledge base management, and churn prevention. Turns your AI agent into a support team lead.
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Manages a local CSV-based CRM with pipeline tracking
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Store, verify, and manage AI data on the Ethereum blockchain (Base network) using the ERCData standard. Use when an agent needs to store data fingerprints on-chain, verify data integrity, create audit trails, manage access control for private data, or interact with the ERCData smart contract. Supports public and private storage, EIP-712 verification, snapshots, and batch operations.
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Automated security auditing for OpenClaw projects. Scans for hardcoded secrets (API keys, tokens) and container vulnerabilities (CVEs) using Trivy. Provides structured reports to help maintain a clean and secure codebase.
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Manage and monitor local Pi-hole instance. Query FTL database for statistics (blocked ads, top clients) and control service via CLI. Use when user asks "how many ads blocked", "pihole status", or "update gravity".
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Swap or trade tokens on Base network. Use when you or the user want to trade, swap, exchange, buy, sell, or convert between tokens like USDC, ETH, and WETH. Covers phrases like "buy ETH", "sell ETH for USDC", "convert USDC to ETH", "get some ETH".
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Secure credential manager using AES-256 (Fernet) encryption. Stores, retrieves, and rotates secrets using a mandatory Master Key. Use for managing API keys, database credentials, and other sensitive tokens.
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Organize files in directories by grouping them into folders based on their extensions or date. Includes Dry-Run, Recursive, and Undo capabilities.
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Track live NFL, NBA, NHL, or MLB games and automatically change Hue light colors based on which team is leading. Use when user wants to sync smart lights with live sports scores for visual game tracking. Supports NFL, NBA, NHL, and MLB games with customizable team colors.
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Human-in-the-loop CAPTCHA solving with two modes: screenshot (default, zero infrastructure) and token relay (requires network access). Screenshot mode captures the page with a grid overlay, sends it to the human, and injects clicks based on their reply. Token relay mode detects CAPTCHA type + sitekey, serves the real widget on a relay page for native solving, and injects the token via CDP.
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TypeScript SDK for interacting with the SushiSwap Aggregator and related primitives. This SDK is a typed wrapper over the SushiSwap API, providing ergonomic helpers for token amounts, prices, quotes, and swap transaction generation. USE THIS SKILL WHEN: - Building TypeScript or JavaScript applications - You want strongly typed token, amount, and fraction primitives - You need to request swap quotes or executable swap transactions via code - You want safer arithmetic, formatting, and comparisons without floating point errors - You prefer SDK-based integration over raw HTTP requests
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Build in public with vibe raising. Launch your builder coin and ship products under it — every launch compounds funding and traction back to your builder. Claim vesting rewards and trading fees. Gas-free on Frame (Base).
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Query BondTerminal API using x402 keyless payments. No API key needed — pay $0.01 USDC per request on Base mainnet. Use when users ask for Argentine bond data, analytics, cashflows, history, riesgo país, or ISIN/ticker lookups (e.g. AL30, GD30, US040114HS26). Supports automatic 402 → payment → retry.
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Complete Open WebUI API integration for managing LLM models, chat completions, Ollama proxy operations, file uploads, knowledge bases (RAG), image generation, audio processing, and pipelines. Use this skill when interacting with Open WebUI instances via REST API - listing models, chatting with LLMs, uploading files for RAG, managing knowledge collections, or executing Ollama commands through the Open WebUI proxy. Requires OPENWEBUI_URL and OPENWEBUI_TOKEN environment variables or explicit parameters.
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Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".
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Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
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Generates comprehension questions and language exercises based on the analyzed content to create a complete learning loop.
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