Agent skill · operations · onewave-ai
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.
Why this skill is useful
Adds advanced workflow orchestration and context analysis capabilities that fundamentally extend the AI's ability to recommend and execute multi-skill chains.
What it needs
About 1k tokens when loaded. Last updated 2026-07-15. 242 stars on the source repository.
What this skill does
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. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills onewave-ai/scout-pro