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Found 5,573 Skills
Neural web search and content extraction using x402-protected APIs. Better than WebSearch for deep research and WebFetch for blocked sites. USE FOR: - Deep web research and investigation - Finding similar pages to a reference URL - Extracting clean text from web pages - Scraping sites that block standard fetchers - Getting direct answers to factual questions - Research requiring multiple sources TRIGGERS: - "research", "investigate", "deep dive", "find sources" - "similar to", "pages like", "more like this" - "scrape", "extract content from", "get the text from" - "blocked site", "can't access", "paywall" - "what is", "explain", "answer this" Use `npx agentcash fetch` for stableenrich.dev endpoints. Prefer Exa for semantic/neural search, Firecrawl for direct scraping.
Extract and parse article content from web sources. Retrieves text, metadata, and structured information from articles while preserving formatting and context.
Analyzes and enforces security protocols on the skill ecosystem. Operates via Audit, Guard, and Trust modes to prevent malicious commands, PII leakage, and excessive permissions.
Enforces an opinionated UI baseline to prevent AI-generated interface slop.
For users needing to conduct systematic literature reviews, literature reviews, related work, or literature research: AI automatically generates search terms, performs multi-source retrieval → deduplication → AI reads and scores each paper one by one (1–10 points for semantic relevance and sub-topic grouping) → selects papers based on high-score priority ratio → automatically generates word budget for the review (70% cited sections + 30% non-cited sections, average of three samplings) → free writing in the style of senior domain experts (fixed sections: abstract, introduction, sub-topics, discussion, future outlook, conclusion), with strict verification of main text word count and number of references, and mandatory export to PDF and Word. Supports multilingual translation and intelligent compilation (en/zh/ja/de/fr/es).
Multi-language code quality standards and review for TypeScript, Python, Go, and Rust. Enforces type safety, security, performance, and maintainability. Use when writing, reviewing, or refactoring code. Includes review process, checklist, and Python PEP 8 deep-dive.
Search, validate, and save cloud drive resources via PanSou aggregation API and local Quark desktop APP integration. This skill should be used when the user wants to find and download resources from cloud drives (网盘资源搜索下载), especially when they mention keywords like "搜资源", "找片", "下载", "网盘", "夸克", "quark", "panso", "盘搜". Requires Quark desktop APP running and logged in with membership.
Create and manage Azure Bot resources using the Azure CLI. Covers the full lifecycle: identity creation, bot registration, channel configuration (Teams, Slack, Telegram, Direct Line, and more), and deployment to Azure App Service. ESPECIALLY for OpenClaw agents.
Analyzes application logs: classifies errors, checks log quality/format, maps stack traces to source, recommends fixes.
Comprehensive guide for contributing to and working with freeCodeCamp's open-source codebase and curriculum platform
This skill enables visual inspection of websites running locally or remotely to identify and fix design issues. Triggers on requests like "review website design", "check the UI", "fix the layout", "find design problems". Detects issues with responsive design, accessibility, visual consistency, and layout breakage, then performs fixes at the source code level.
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based agent, GUI automation.