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Found 206 Skills
Review only git diff for impact, regression, correctness, compatibility, and side effects. Scope-only atomic skill; output is a findings list for aggregation.
Orchestrator-only workflow for migrating/rewriting codebases with full TDD and agent delegation
Review a spec document against codebase reality, identifying gaps and ensuring sound, robust implementations.
AI-powered adversarial UI testing via the browse CLI. Analyzes git diffs to test only what changed, or explores the full app to find bugs. Tests functional correctness, accessibility, responsive layout, and UX heuristics. Use when the user asks to test UI changes, QA a pull request, audit accessibility, or run exploratory testing. Supports local browser (localhost) and remote Browserbase (deployed sites).
Conduct an architecture health check on a design — either verify if the design is internally consistent (no conflicts between terminology, contracts, and implementation steps) or check if the design aligns with the code (ensuring what was promised in the design is actually implemented in code). This skill only outputs issue lists and repair suggestions, and does not make any modifications. It focuses on only one target each time; "顺手把另一项也查了" is not allowed. Trigger scenarios: Users say "perform architecture check", "is the design internally consistent?", "does the plan align with the code?", or want to conduct a health check before proceeding to the implement/acceptance phase.
Implement a task with automated LLM-as-Judge verification for critical steps
Comprehensive pre-merge validation checklist for Python/React pull requests. Use before approving or merging any PR. Covers code quality checks (linting, formatting, type checking), test coverage requirements, documentation updates, migration safety, API contract compatibility, accessibility compliance, bundle size impact, and deployment readiness. Provides a systematic checklist that ensures nothing is missed before merge. Does NOT cover security review depth (use code-review-security).
Amazon Bedrock AgentCore Evaluations for testing and monitoring AI agent quality. 13 built-in evaluators plus custom LLM-as-Judge patterns. Use when testing agents, monitoring production quality, setting up alerts, or validating agent behavior.
Perform general code reviews for PRs and code changes. Evaluate code quality, security, and design based on common standards to make approve/reject decisions. Use this for requests like "Review this PR", "Do a code review", "Pre-merge check", or when executing the gh pr view command.
Validate Claude Code skills against the agentskills specification. Catches structural, semantic, and naming issues before users do.
Intelligent agent for validating ERPNext/Frappe code against best practices and common pitfalls. Use when reviewing generated code, checking for errors before deployment, or validating code quality. Triggers: review this code, check my script, validate before deployment, is this correct, find bugs, check for errors, will this work.
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyzes correctness, efficiency, scalability, and production readiness of modifications. Use for pull request reviews, commit reviews, security audits of changes, and pre-deployment validation. Supports Django, Flask, FastAPI, pandas, and ML frameworks.