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Found 6,567 Skills
Meta-skill for understanding and customizing Mindfold Trellis — the all-in-one AI workflow system for 11 AI coding platforms (Claude Code, Cursor, OpenCode, iFlow, Codex, Kilo, Kiro, Gemini CLI, Antigravity, Qoder, CodeBuddy). Documents the original Trellis system design including architecture, commands, hooks, multi-agent pipelines, monorepo support, and task lifecycle hooks. Use when understanding Trellis architecture, customizing workflows, adding commands or agents, troubleshooting issues, or adapting Trellis to specific projects. Modifications should be recorded in a project-local trellis-local skill, not here.
Craft platform help — AI growth engine for home services with real-time field sales coaching during in-home appointments, 24/7 AI call center with live CSR coaching, revenue recovery AI agents, Craft Intelligence analytics. Use when reps need live coaching during appointments not after, call center booking rates are too low, missed estimates and unsold jobs pile up without follow-up, comparing Craft vs Rilla vs Siro vs SalesAsk for home services coaching, setting up Craft with ServiceTitan or Salesforce, or wondering if bundled pricing is worth it. Do NOT use for virtual/video meeting note-taking (use /sales-note-taker) or building a coaching program from scratch (use /sales-coaching).
Military-style Situation Report (SITREP) generation for multi-agent coordination. Creates structured status updates with completed/in-progress/blocked sections, authorization codes, handoff protocols, and clear next actions. Optimized for complex project management across multiple AI agents and human operators.
Diagnose branching narrative problems. Use when choices feel meaningless, when branching is unmanageable, when player agency conflicts with authored story, or when interactive elements break narrative flow.
Creates JSON Schema validation files for skills, agents, hooks, workflows, and data structures. Ensures type safety and input validation across the framework.
Use when explicitly asked to run the code-reviewer subagent or when another skill requires the code-reviewer agent card.
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).
Deep explanation of complex code, files, or concepts. Routes to expert agents, uses structural search, generates mermaid diagrams. Triggers on: explain, deep dive, how does X work, architecture, data flow.
Digital marketing agency coordinator and brand manager. Use this skill when the user wants to work on marketing for any brand — planning campaigns, creating content, optimizing channels, running ads, improving SEO, email marketing, social media, guerrilla marketing, or any marketing-related task. Also use when the user mentions SOSTAC, marketing plan, brand strategy, campaign management, marketing team, or wants to start marketing for a new product/brand. This is the entry point for all marketing work — always trigger this first for any marketing-related request, even if the user doesn't explicitly ask for 'the agency'.
Arquitecto de soluciones digitales basadas en IA. Dos modos: (1) ANALIZAR repositorios o código existente y explicar su arquitectura para cualquier audiencia, incluyendo personas sin conocimiento técnico. (2) DISEÑAR la arquitectura completa de sistemas nuevos que usan LLMs, RAG, agentes o fine-tuning. Usa este skill cuando el usuario mencione: arquitectura de IA, diseño de sistema con LLM, capas arquitectónicas, RAG architecture, tech stack para IA, vector database, diagrama de arquitectura, componentes del sistema, embedding, retrieval, pipeline de datos, MLOps, LLMOps, evaluar enfoques, RAG vs fine-tuning, diseñar solución de inteligencia artificial, explicar repositorio, explicar código, analizar proyecto, qué hace este repo, cómo funciona este sistema, explícame este proyecto, o cualquier variación de "qué componentes necesito" o "explícame cómo funciona esto". Actívalo cuando el usuario pegue código, README, estructura de archivos, o mencione un repositorio de GitHub para analizar. También cuando quiera diseñar arquitectura nueva.
Instrument Python LLM apps, build golden datasets, write eval-based tests, run them, and root-cause failures — covering the full eval-driven development cycle. Make sure to use this skill whenever a user is developing, testing, QA-ing, evaluating, or benchmarking a Python project that calls an LLM, even if they don't say "evals" explicitly. Use for making sure an AI app works correctly, catching regressions after prompt changes, debugging why an agent started behaving differently, or validating output quality before shipping.
Support skill providing the workflow, templates, and references for AI coding assistant rule authoring. Invoked by fusion-rules gateway agents — not intended for direct use.