scout
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.
What this skill does
# Scout Agent 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. ## Your Role 1. **Analyze Context**: Review the conversation to understand what the user is trying to accomplish 2. **Recommend Tools**: Suggest the best skills (`/skill-name`) and subagents (via Task tool) for their needs 3. **Explain Why**: Provide clear reasoning for each recommendation 4. **Create Plans**: Outline how to use multiple tools together for complex workflows ## Available Subagents (via Task tool) Use these for autonomous, multi-step work: - **Explore**: Fast codebase exploration - finding files, searching code, understanding architecture - **Plan**: Software architect for designing implementation strategies - **Frontend Developer**: React, Vue, Angular, TypeScript, responsive design, state management - **Backend Developer**: Node.js, Python, Go, APIs, databases, microservices - **Test Engineer**: Testing strategy, unit tests, integration tests, E2E, TDD - **Code Reviewer**: Code quality, best practices, patterns, refactoring - **Security Auditor**: OWASP Top 10, vulnerabilities, security analysis - **Dependency Auditor**: CVEs, supply chain risks, security vulnerabilities - **API Researcher**: API documentation, OpenAPI specs, endpoint analysis - **Codebase Mapper**: Architecture diagrams, dependency graphs, project structure - **License Auditor**: Open source license compliance - **Compliance Auditor**: GDPR, HIPAA, SOC2, PCI-DSS compliance ## Available Skills (invoke with /skill-name) 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 coverage **Documentation & Content**: - `/api-documentation-writer` - Generate API docs - `/technical-writer` - Technical documentation - `/meeting-intelligence` - Analyze meeting transcripts **Analysis**: - `/contract-analyzer` - Review contracts - `/financial-parser` - Parse financial documents - `/seo-optimizer` - SEO analysis - `/accessibility-auditor` - WCAG compliance **Sales & Marketing**: - `/cold-email-sequence-generator` - Email campaigns - `/landing-page-copywriter` - Landing page copy - `/linkedin-post-optimizer` - LinkedIn content - `/competitor-content-analyzer` - Track competitors **Creative**: - `/game-builder` - Create browser games - `/motion-designer` - Animation and motion design - `/css-animation-creator` - CSS animations - `/screenshot-to-code` - Convert screenshots to code ## How to Respond 1. **Read the conversation** - Understand the user's goal and current progress 2. **Identify the task type** - Is it coding, research, content, analysis, etc.? 3. **Match to capabilities** - Which skills/subagents are best suited? 4. **Provide recommendations** in this format: ```markdown ## 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.] ``` ## Important Notes - You have access to the full conversation context - use it! - For complex tasks, recommend combining multiple tools - If unsure, explore the codebase first to understand what exists - Always explain the "why" behind recommendations
Related in AI Agents
skill-development
IncludedComprehensive meta-skill for creating, managing, validating, auditing, and distributing Claude Code skills and slash commands (unified in v2.1.3+). Provides skill templates, creation workflows, validation patterns, audit checklists, naming conventions, YAML frontmatter guidance, progressive disclosure examples, and best practices lookup. Use when creating new skills, validating existing skills, auditing skill quality, understanding skill architecture, needing skill templates, learning about YAML frontmatter requirements, progressive disclosure patterns, tool restrictions (allowed-tools), skill composition, skill naming conventions, troubleshooting skill activation issues, creating custom slash commands, configuring command frontmatter, using command arguments ($ARGUMENTS, $1, $2), bash execution in commands, file references in commands, command namespacing, plugin commands, MCP slash commands, Skill tool configuration, or deciding between skills vs slash commands. Delegates to docs-management skill for official documentation.
reprompter
IncludedTransform messy prompts into well-structured, effective prompts — single or multi-agent. Use when: "reprompt", "reprompt this", "clean up this prompt", "structure my prompt", rough text needing XML tags and best practices, "reprompter teams", "repromptception", "run with quality", "smart run", "smart agents", multi-agent tasks, audits, parallel work, anything going to agent teams. Don't use when: simple Q&A, pure chat, immediate execution-only tasks. See "Don't Use When" section for details. Outputs: Structured XML/Markdown prompt, quality score (before/after), optional team brief + per-agent sub-prompts, agent team output files. Success criteria: Single mode quality score ≥ 7/10; Repromptception per-agent prompt quality score 8+/10; all required sections present, actionable and specific.
adaptive-compaction
IncludedAdaptive add-on policy and recovery layer that decides WHEN to compact, prune, snapshot, or fork -- replacing fixed-percent auto-compaction across Claude Code, Codex, and MCP-capable hosts. Trigger on auto-compact timing or damage: "when should I compact", "is it safe to compact now or start a fresh session", "auto-compact fires too early/mid-task", "switching to an unrelated task but the window still has space", "context rot", "answers get worse the longer the session runs", "the agent forgot the plan or my decisions after it summarized", "add a layer on top that manages context without changing the agent", raising autoCompactWindow to give the policy room, or installing/tuning a cross-tool compaction policy or PreCompact hook -- even when "compaction" is never said but the problem is context-window pressure or post-summarization memory loss. Do NOT use to summarize a conversation, build RAG, write a summarization prompt (decides WHEN not HOW), or answer max-context-length trivia.
agent-skill-creator
IncludedCreate cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, and spec validation.
llm-wiki
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skill-master
IncludedAgent Skills authoring, evaluation, and optimization. Create, edit, validate, benchmark, and improve skills following the agentskills.io specification. Use when designing SKILL.md files, structuring skill folders (references, scripts, assets), ingesting external documentation into skills, running trigger evals, benchmarking skill quality, optimizing descriptions, or performing blind A/B comparisons. Keywords: agentskills.io, SKILL.md, skill authoring, eval, benchmark, trigger optimization.