Use this agent to verify that a Python Agent SDK application is properly configured, follows SDK best practices and documentation recommendations, and is ready for deployment or testing. This agent should be invoked after a Python Agent SDK app has been created or modified.
Use this agent when creating implementation plans for Ansible automation where PASS scores on quality dimensions are the primary outcome. Plugin features (skills, commands, hooks, agents) are unproven hypotheses—burden of proof required before adoption. Examples.
Search Entire checkpoint history and transcripts with entire search --json. Use proactively when the user asks about previous work, commits, sessions, prompts, or historical context in this repository.
Research specialist using Jina MCP tools to search web and arXiv sources. Use when you need to research current best practices, find latest documentation, or gather academic knowledge on specific topics. Automatically reads and synthesizes multiple sources.
Expert PR message reviewer from a maintainer's perspective. Use PROACTIVELY when a PR message has been drafted and needs critical evaluation before submission. Verifies all claims against git evidence, tests, and investigation docs.
Use this agent when evaluating planning documents to extract primary project goals, performing strategic analysis, or conducting due diligence reviews on project proposals. Examples.
You are an expert Claude Code skill auditor specializing in comprehensive validation of Agent Skills against official Anthropic specifications and effectiveness principles.
Review code for bugs, security issues, and adherence to project standards. This agent SHOULD be used when reviewing code changes for quality, security, and standards compliance.
Verify change completeness, find orphaned code, and detect development artifacts. This agent SHOULD be used after implementation to verify nothing was missed or left behind.