Use when adopting a shared module, library, chart, or service, or doing any consolidation, migration, or refactor that supersedes existing code.
Composite skill — safely refactor a module end-to-end with sequencing, parallel implementation, post-refactor cleanup, and rationale capture.
Layered code review pipeline — automated checks first, then AI-assisted review, then human review focused on Ousterhout red flags, AI failure patterns, silent failures, and…
Use when the user asks to review, audit, or check the quality of ADVPL/TLPP code for TOTVS Protheus before merge or deploy -- covering best practices (RecLock/MsUnlock pairing,…
Use when the user asks to refactor, clean up, or restructure existing ADVPL/TLPP code on TOTVS Protheus without changing its behavior -- extracting long functions (>100 lines),…
Complete Claude Code productivity system — project setup, prompting patterns, sub-agent orchestration, context management, debugging, refactoring, TDD, and shipping 10X faster.
Enterprise-grade code review agent. Reviews PRs, diffs, or code files for security vulnerabilities, performance issues, error handling gaps, architecture smells, and test…
Use an agent to review a diff productively, with the right scope, framing, and scepticism about its findings. Use when reviewing your own changes before requesting human review.
Run an author agent and a reviewer agent in a loop with a strict finding format, a mandatory verification pass, and a convergence rule that ends it.
Sous-agent spécialisé dans la revue de code automatisée, déclenchable par un agent parent pour analyser du code.
Expert code reviewer specializing in code quality, security vulnerabilities, and best practices across multiple languages.
Create Claude Code slash commands and OpenCode command files that delegate to subagents. Use when creating new commands or refactoring existing ones to follow the delegation…
Refactor Codex configuration files and Agent Skills by splitting concerns, deduplicating instructions, and reorganizing guidance across AGENTS.md, project docs, and skills.
Generate an agent across the host AI tools a project uses. Use when the user wants to create, scaffold, or refactor an agent, subagent or specialized role.
Advanced repository analysis and refactoring guide. Identifies technical debt and architectural anti-patterns using AI reasoning.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Use when implementing, reviewing, refactoring, simplifying, debugging, or planning code changes that need explicit assumptions, minimal scope, surgical edits, and verifiable…
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs.
Implement only after a validated/approved plan. Use for coding: small diffs, frequent tests, no refactors, stop on ambiguity.
Dead code cleanup and consolidation specialist. Use PROACTIVELY for removing unused code, duplicates, and refactoring.
Refactoring v3 — code smells, patterns, legacy code, safe refactoring, automated, IDE tools
Direct an agent through a refactor in verifiable steps with tests as the safety net, rather than one large rewrite. Use when restructuring code with agent assistance.
Capture structured run outcomes and synthesize reusable lessons for continuous improvement. Use after meaningful coding tasks, bug fixes, failed attempts, refactors, or test/debug…
Guide creation of focused single-purpose agents following the One Agent One Prompt One Purpose principle.
Refactor or optimize main code while the agent-test suite (and user tests) must stay green after every change.
Cost-tiered planning pipeline. Use when the user asks to plan a feature, refactor, migration, or fix with agentmaster, or invokes /agentmaster-plan.
Agent 오케스트레이션 상세 레퍼런스. 사용 가능 에이전트 테이블, 자동 트리거 조건, /code-review 연동 에이전트, refactor-cleaner 실행 규칙, 병렬 실행 예제 포함. 에이전트 사용 시 참조.
Delegate a coding task to the Google Antigravity CLI (`agy`) as a background implementer, then review its diff and land it yourself.
Comprehensive patterns for building AI-powered code generation tools, code assistants, automated refactoring, code review, and structured output generation using LLMs with…
Deep code scan for AI security issues — prompt injection, PII in prompts, hardcoded keys, unguarded agents.
WHEN: Deep AI-powered code analysis, multi-model code review, security scanning with Codex and Gemini WHAT: Comprehensive code review using external AI models with severity-based…
Generate codemods for large-scale code changes. Use when refactoring patterns across many files. — from majiayu000/claude-skill-registry
Use when an AI coding agent is writing or refactoring production code and its known failure modes need to be held in check — over-engineering, silent scope creep, invented APIs,…
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface ass — from…
AI-powered refactoring assistant - get code improvement suggestions, refactoring patterns, and best practices. Each call charges 0.001 USDT via SkillPay.
AI SDLC code review workflow. Use when an AI assistant is asked to review a diff, PR, branch, commit, staged changes, or completed implementation against SDD requirements, tests,…
Request structured code review to catch correctness, security, performance, and readability issues. Reviews should happen early and often.
Guidelines for writing AI-friendly code. Detects semantic duplicates, context fragmentation, naming inconsistencies.
Consult prior AI war-stories before answering coding, deploy, debugging, refactoring, code-review, or framework-decision tasks.
AL/Business Central code review at gate points. Report-only by default; pass --fix to land must-fix findings and re-review once.
Pick a `ready-for-implementation` technical task from `tasks.md` and drive it through TDD for AL/Business Central.
Reshape AL/Business Central production and test code while tests stay green, via four parallel lens sub-agents then serial apply with `/al-build` between.
Govern code review for a project instead of performing it. Triggers when setting up or running Algol, defining or compiling review policy in .algol/policy.toml, routing a change…
AI-powered code review CLI từ Alibaba — phân tích git diff, comment chính xác theo dòng, tích hợp GitHub Actions / GitLab CI.
Analyzes the repository for technical debt, including outdated dependencies, dead code, duplication, and architectural inconsistencies.
Analyzes the repository for technical debt, including outdated dependencies, dead code, duplication, and architectural inconsistencies.
Use when the user challenges an existing proposal, asks whether it is the best solution, asks for a better approach, or wants second-pass review of the chosen best-standard,…
Use when the user asks how to design or implement a new feature, capability, workflow, page, API, or behavior before coding.
Use when the user asks why existing behavior is broken, incorrect, flaky, regressed, unexpected, or runtime/build behavior is failing and wants a bug-fix approach before coding.
Use when the user asks how to refactor, split modules, clarify architecture, move ownership, reduce coupling, or fix unclear state, data-flow, or component boundaries before…
Comprehensive codebase analysis methodology for existing projects. Use when onboarding to a new codebase, doing periodic health checks, or before refactoring.
Reviews and refactors Angular services so each service has one bounded responsibility such as API access, state ownership, mapping, validation, permissions, or feature…
Create modern Angular standalone components following v20+ best practices. Use for building UI components with signal-based inputs/outputs, OnPush change detection, host bindings,…
Build an animated SVG diagram (agent graph, build pipeline, RAG flow, etc.) in the Code Origin landing style — purple-on-purple palette, pill messages gliding along edges, paired…
Minimal-code discipline for a lazy senior engineer - the YAGNI ladder (does it need to exist, stdlib, native platform feature, installed dependency, one line, then minimum),…
Refactor code toward clearer ports and adapters so domain or application logic is less entangled with infrastructure details.
Use when diagnosing or preventing Apex CPU time and heap size problems, including nested-loop refactors, JSON memory pressure, string work, and `Limits.getCpuTime()` checkpoints.
Reviews App Intents code for intent structure, entities, shortcuts, and parameters. Use when reviewing code with import AppIntents, @AppIntent, AppEntity, AppShortcutsProvider, or…
Apply and validate the 7 Key Principles to code - TDD, Fail Fast, Modular, Reuse, Open Source, No Debt, Excellence. Checks code compliance and suggests improvements.
Add declare(strict_types=1) and tighten PHP types on touched code without drive-by refactors.