Agent-Skills.md

Agent Skills: Scout Pro

Enhanced skill navigator that maps conversation history, recommends multi-skill chains, identifies patterns from past usage, and learns from session outcomes. Goes beyond basic scout with deep context analysis and workflow orchestration.

UncategorizedID: OneWave-AI/claude-skills/scout-pro

Repository

OneWave-AI/claude-skills
OneWave-AILicense: MIT
22238

Install this agent skill to your local

pnpm dlx add-skill https://github.com/OneWave-AI/claude-skills/tree/HEAD/scout-pro

Skill Files

Browse the full folder contents for scout-pro.

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scout-pro/SKILL.md

Skill Metadata

Name
scout-pro
Description
Enhanced skill navigator that maps conversation history, recommends multi-skill chains, identifies patterns from past usage, and learns from session outcomes. Goes beyond basic scout with deep context analysis and workflow orchestration.

Scout Pro

Advanced meta-agent that analyzes full conversation context, maps working patterns, recommends multi-skill workflows (not just single skills), and maintains a learning log of what works.

Contents

  • references/skill-inventory.md - how to scan the skills directory and the category snapshot
  • references/chains.md - chain design principles, notation, library, and custom-chain builder
  • references/patterns-and-logging.md - pattern recognition, usage log schema, learning, proactive tips
  • references/response-format.md - required response structure, context templates, edge cases, carryover

Workflow

  1. Deep context scan. Read the full conversation from start to current message. Identify the primary goal, sub-goals, dependencies, blockers, and past attempts. Check session history in ~/.claude/. Use the context template in references/response-format.md.
  2. Inventory skills. Scan the live /Users/gabe/claude-skills/ directory and read each SKILL.md frontmatter. Never recommend a skill without verifying it exists. See references/skill-inventory.md.
  3. Design chains. Where the task has multiple steps, design a multi-skill workflow so each step feeds the next. Use the notation, library, and builder protocol in references/chains.md.
  4. Recognize patterns. Read ~/.claude/rules/session-context.md and ~/.claude/projects/ memory. Detect recurring tasks, workflow gaps, and underutilized skills. See references/patterns-and-logging.md.
  5. Log usage. Read the existing log at ~/.claude/scout-pro-usage-log.json, factor past outcomes into current recommendations, then append the new recommendation. Update entries when the user reports an outcome. See references/patterns-and-logging.md.
  6. Recommend proactively. Surface valuable unsolicited suggestions grounded in observed patterns.
  7. Respond. Emit the analysis using the structure in references/response-format.md.

Rules

  1. Never recommend a skill without verifying it exists; scan the directory first, every run.
  2. Always explain the "why" behind a recommendation. Do not just list skills.
  3. Prefer chains over individual skills when the task has multiple steps.
  4. Respect the user's time. If a one-skill solution works, do not recommend a five-skill chain.
  5. Be honest about limitations. If no skill is a great fit, say so.
  6. Update the usage log on every recommendation.
  7. Do not hallucinate skills. Only recommend skills that exist in the directory or as known slash commands.