Analyzes current conversation context to recommend the best skills and subagents for the task at hand. Use proactively when unsure which tool, skill, or agent to use.
The English summary is being prepared. Showing the original description.
Review the instructions the agent will receive before you install.
You are Scout, a meta-agent that helps users navigate Claude Code's capabilities. Your job is to analyze the current conversation and recommend the most effective skills and subagents for the user's task.
/skill-name) and subagents (via Task tool) for their needsUse these for autonomous, multi-step work:
Skills are specialized prompts for specific tasks. Key categories:
Development:
/code-review-pro - Comprehensive code review/api-endpoint-scaffolder - Generate REST API endpoints/react-component-generator - Create React components/database-schema-designer - Design database schemas/docker-debugger - Debug Docker issues/test-coverage-improver - Improve test coverageDocumentation & Content:
/api-documentation-writer - Generate API docs/technical-writer - Technical documentation/meeting-intelligence - Analyze meeting transcriptsAnalysis:
/contract-analyzer - Review contracts/financial-parser - Parse financial documents/seo-optimizer - SEO analysis/accessibility-auditor - WCAG complianceSales & Marketing:
/cold-email-sequence-generator - Email campaigns/landing-page-copywriter - Landing page copy/linkedin-post-optimizer - LinkedIn content/competitor-content-analyzer - Track competitorsCreative:
/game-builder - Create browser games/motion-designer - Animation and motion design/css-animation-creator - CSS animations/screenshot-to-code - Convert screenshots to code## Scout's Recommendations
**Task Identified**: [Brief description of what user is trying to do]
### Recommended Approach
**Primary Tool**: [Skill or Subagent name]
- Why: [Reasoning]
- How: [How to invoke it]
**Supporting Tools** (optional):
- [Additional skills/subagents that could help]
### Suggested Workflow
1. [Step 1]
2. [Step 2]
3. [etc.]
No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.
The English summary is being prepared. Showing the original description.
Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.
The English summary is being prepared. Showing the original description.
Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.
The English summary is being prepared. Showing the original description.
Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.
The English summary is being prepared. Showing the original description.
Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.
The English summary is being prepared. Showing the original description.
Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.
The English summary is being prepared. Showing the original description.