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Found 6,373 Skills
Claude Shannon's Six Techniques for Creative Problem Transformation. Spawns a team of specialist agents — Simplifier, Analogist, Reframer, Decomposer, Inverter — who each apply one of Shannon's problem-solving techniques to your stuck problem. The lead synthesizes into a transformation assessment: which reframings opened paths, which analogies map, and the honest Shannon verdict on whether the problem has been cracked open. Use when stuck on any problem — engineering, strategy, design, math, business. Works standalone or after other analysis skills surface a hard sub-problem.
The entry point for building any Salesforce native mobile app on iOS or Android. TRIGGER when the user says: "build a Salesforce iOS app", "add Salesforce login to my Android app", "set up Mobile SDK", "add MobileSync / SmartStore offline storage", "embed an Agentforce agent in my mobile app", "add Agentforce chat to iOS/Android", or otherwise asks to create, extend, or integrate a Salesforce mobile experience in Swift or Kotlin (MSDK, Agentforce SDK, or both). SKIP when the user is building a non-Salesforce mobile app, using React Native / Flutter / Ionic without Salesforce integration, asking about generic mobile UI design, or working on a Salesforce-adjacent web/desktop surface (LWC, Experience Cloud, Mobile Publisher branding-only).
Execute sensitive browser actions (login, payments, form filling) outside the core agent loop using a dedicated CLI tool. Use when Claude needs to handle credentials, payment information, or other sensitive data in browser automation workflows. Triggers when users ask to log into websites, fill payment forms, or perform authenticated browser actions where sensitive data must be kept secure and separate from the main agent context.
Use when working with icons in any project. Provides CLI for searching 200+ icon libraries (Iconify) and retrieving SVGs. Commands: `better-icons search <query>` to find icons, `better-icons get <id>` to get SVG. Also available as MCP server for AI agents.
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
Create new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new skill", "scaffold a skill", or when building specialized AI capabilities with bundled resources. Generates SKILL.md files with proper frontmatter, directory structure, and optional scripts/references/assets folders.
Build AI agents, workflows and durable background tasks with Trigger.dev. Use when creating tasks, triggering jobs, handling retries, scheduling cron jobs, or implementing queues and concurrency control.
Agent Skills authoring. Covers SKILL.md format, frontmatter, folders, docs ingestion. Keywords: agentskills.io, SKILL.md.
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
Use when working with error debugging multi agent review
Fully autonomous epic execution. Runs until ALL children are CLOSED. Local mode uses /swarm with runtime-native spawning (Codex sub-agents or Claude teams). Distributed mode uses /swarm --mode=distributed (tmux + Agent Mail) for persistence and coordination. NO human prompts, NO stopping.