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Found 1,230 Skills
Apply Effective Dart usage patterns for cleaner and more efficient code.
Iterative testing, verification, and improvement supervisor. Triggers when: User requests iterative testing and improvement, code quality review and assurance is needed, automated testing and feedback loops are required, or multiple rounds of refinement are specified. Commands: - /iterate <n> - Run n iterations of test-improve cycle - /iterate stop - Stop current iteration loop - /iterate status - Show current iteration status - /iterate report - Generate iteration report Capabilities: Automated test execution and result analysis, quality metrics tracking across iterations, improvement suggestion generation, convergence detection, and detailed iteration reports.
Run a formal, multi-dimensional code review of a pull request. Reads the PR diff, classifies change types, dispatches parallel reviewers by dimension (correctness, consistency, docs-sync, plus conditional security/edge-cases/UX/performance/structure/maintainability), and synthesizes findings into an actionable punch list. Use when the user asks to review a PR, run /deep-review, mark a PR as ready for review, or requests a formal/thorough code review.
Review Go implementations against spec acceptance tests. References go-conventions and agent-conduct.
Prepare a structured, scannable review checklist for a branch or diff, grouped by feature change and applying the four-pass review order (Types, Data Flow, Business Logic, Edge Cases) within each feature. Use when the user asks to "prep a review", "review order", or wants a checklist to manually walk through changes.
Self-directed iterative improvement system for Codex that cycles through modify, verify, retain/discard indefinitely
When working with FaasJS projects, must follow these best practices to ensure code quality, maintainability, and testability.
Use when code has been written and needs validation before committing, or when the user asks for a code review or security check.
Invoke when the user asks to review, check, audit, or look over Qt6 C++ code — or suggest before committing. Runs deterministic linting (60+ rules) then six parallel deep- analysis agents covering model contracts, ownership, threading, API correctness, error handling, and performance. Reports only high-confidence issues (>80/100) with structured mitigations. Read-only — never modifies code.
Fuzz React Doctor rules for crashes, slowness, false positives, and mutation-sensitive diagnostics with @react-doctor/fuzz. Use after rule tests pass, when investigating a fuzz finding, or whenever an eval, review, or user report confirms a new false positive.
Use when performing a standalone PR double-check in a clean context — review, fix, and post.
Code review assistance with linting, style checking, and best practices