Skill Claude CodeCodex
Single-round executor for the fix-pr-comments-loop orchestrator. Runs steps 0–8 of one round (count unresolved threads, fix via pr-comment-fixer, harden via hardcore-code-reviewer, verify, push, resolve threads, re-request copilot, poll) in a fresh subagent context and returns a structured JSON result. Invoked once…
Skill Claude CodeCodex
Autonomous loop that drives a pull request to a clean review state by dispatching one fresh Agent-tool subagent per round (each round = fetch unresolved copilot threads, fix via pr-comment-fixer, harden via hardcore-code-reviewer, verify, push, resolve threads, re-request copilot, poll). Per-round fresh context means…
Skill Claude CodeCodex
Strict hardcore code reviewer that spawns 13 parallel subagents to find bugs, security issues, silent failures, pattern violations, test gaps, performance problems, unnecessary complexity, observability gaps, API contract issues, data/migration risks, accessibility violations, type safety issues, and doc/comment drift…
Skill Claude CodeCodex
Use this skill to interact with the repo's persistent knowledge bank (.knowledge-bank/). Triggers when the user says: "store this", "remember this", "save a learning", "create an ADR", "what do we know about X", "recall X", "search the knowledge bank", "initialize the knowledge bank", "kb-init", "kb-store"…
Skill Claude CodeCodex
Automatically read GitHub pull request review comments and apply fixes to address feedback. Use this skill when the user asks to review and fix PR comments, address PR feedback, or resolve review suggestions. Triggers include phrases like "fix PR comments", "address PR feedback", "review PR.
Skill Claude CodeCodex
Expert guidance for building Shopify Apps using modern best practices. Use when developing Shopify Apps, creating app extensions, working with Shopify APIs (GraphQL Admin/Storefront), implementing webhooks, managing app authentication/authorization, building embedded apps, creating custom app extensions (checkout UI…
Skill Claude CodeCodex
Full codebase technical debt audit using 11 parallel specialized agents. Identifies dependency issues, code smells, architecture problems, test gaps, error handling flaws, performance bottlenecks, security vulnerabilities, documentation gaps, type safety issues, API inconsistencies, and over-engineering. Groups…