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Found 4,836 Skills
Build and deploy custom StackOne connectors using the CLI and Connector Engine. Use when user asks to "build a custom connector", "deploy my connector", "use the StackOne AI builder", "set up CI/CD for connectors", "test my connector locally", or "install the StackOne CLI". Covers the full connector development workflow from init through deployment. Do NOT use for using existing connectors (use stackone-connectors) or building AI agents (use stackone-agents).
Planning Agent: Converts project intent into a detailed execution plan. Responsible for defining detailed scope, WBS, dependencies, schedule, budget, and resource planning. Use after Intake/Charter is approved.
Browse and scrape websites using Cloudflare's Browser Rendering REST API. Use when the agent needs to fetch rendered web content, extract structured data from pages, take screenshots, or scrape specific elements via CSS selectors. Triggers on tasks like "scrape this site", "get listings from this page", "extract data from this URL", "take a screenshot of this page", "browse this website", or any task requiring headless browser access to read, crawl, or extract information from live web pages. Also use when WebFetch is insufficient (JS-heavy sites, SPAs, pages requiring cookies, or when structured extraction is needed).
OWASP Top 10 for LLM Applications - prevention, detection, and remediation for LLM and GenAI security. Use when building or reviewing LLM apps - prompt injection, information disclosure, training/supply chain, poisoning, output handling, excessive agency, system prompt leakage, vectors/embeddings, misinformation, unbounded consumption.
Generate AI-friendly Python CLIs using Click, Pydantic, and uv. Use when user wants to create a new CLI tool that follows best practices for agentic coding environments.
Browser automation via Playwright CLI. Open pages, interact with elements, take screenshots, and more. Ideal for coding agents and automated testing workflows.
Autonomous p5.js visualization agent. It implements, inspects, critiques design/UX, fixes, and launches the result.
Optimizes markdown documents for token efficiency, clarity, and LLM consumption. Use when (1) a markdown file needs streamlining for use as LLM context, (2) reducing token count in documentation without losing meaning, (3) converting verbose docs into concise reference material, (4) improving structure and scannability of markdown files, or (5) preparing best-practices or knowledge docs for agent consumption.
Multi-agent distributed context preservation protocol using cryptographic sharding, gossip propagation, and Byzantine fault tolerance to maintain coherent shared memory across dynamic agent networks.
Frontend development agent for Resume Matcher. Handles Next.js pages, React components, Tailwind CSS with Swiss International Style, API integration, hooks, and i18n. Use when creating or modifying frontend code.
Optimize LLM prompts, tools, and agents in Opik using standardized optimizer workflows (prompt optimization, tool optimization, and parameter tuning), dataset/metric wiring, and result interpretation.
Agent-powered GitHub PR reviews with smart semantic triage. Categorizes changes as MECHANICAL (skip), NEW LOGIC (read), or BEHAVIORAL (verify) — so agents never waste tokens reading lock files or formatting diffs. Includes remote file reading, text/AST search across PR or full repo, and comment posting. No local clone needed. Use when asked to review a PR, check a pull request, look at PR changes, or given a PR number/URL to review.