Makes agents verify review feedback technically before implementing suggestions, not blindly agreeing.

Prompts a review of completed work against requirements before merging or opening a PR.

Enforces a root-cause investigation before any fix is proposed for bugs or test failures.

Reviews changes against repo coding standards and the originating spec, using parallel sub-agents.

Gives a shared deep-module vocabulary for designing interfaces, seams, and more testable code.

Runs a structured loop to diagnose hard bugs, throwing errors, and performance regressions.

Build a piece of work in code from a spec or ticket set.

Implement code from /to-spec and /to-tickets outputs.

Find codebase deepening opportunities, review them in an HTML report, then refine one.

Generate lint-passing exercise directories with sections, problems, solutions, and explainers.

Configure dependency-cruiser so TypeScript packages expose only their entry-point modules.

AndroidとKotlin Multiplatformでモジュール構成、UseCase、Repositoryのクリーンアーキテクチャを設計する。

シグナルやフォーム、ルーティングを含むAngularコードを生成し、設計を助言する。

既存の統合パターンに沿って、新しいAPIコネクターやプロバイダーを追加する。

Design REST APIs with resource naming, status codes, pagination, versioning, and rate limiting.

REST APIの命名、ステータスコード、ページネーション、エラー応答を統一的に設計する。

Apply backend architecture, API design, and database optimization patterns for Node.js and Express.

Node.js、Express、Next.js APIのバックエンド設計とデータベース最適化を指針として提供する。

BunとNodeの比較、移行方針、Vercelでの利用可否について助言する。

Enforce consistent naming, readability, immutability, and quality review conventions across projects.

Apply general coding standards and best practices for TypeScript, JavaScript, React, and Node.js development.

Cache expensive file processing results using SHA-256 content hashes with automatic invalidation and service isolation.

Diseñar aplicaciones Django de producción con APIs DRF, buen uso del ORM, caché y señales.

Escribir código Go idiomático, mantenible y eficiente siguiendo las convenciones del lenguaje.

Modelar entidades JPA/Hibernate eficientes con consultas, transacciones, auditoría y paginación.

Escribir Kotlin idiomático con coroutines, null safety y DSL builders mantenibles.

Estructurar aplicaciones Laravel con servicios, Eloquent, colas, eventos, caché y API resources.

Escribir Python idiomático y tipado según PEP 8, con type hints y código mantenible.

Construir servicios Quarkus 3.x con Camel, REST, CDI, Panache y procesamiento asíncrono.

Apply idiomatic Rust ownership, error handling, traits, and concurrency patterns to write safe code.

Structure Spring Boot backends with layered services, REST API design, caching, async work, and logging.

Reference Claude API and SDK details such as model IDs, pricing, streaming, tool use, and caching.

Apply lazy senior-dev mode: smallest complete change and a clear reply for any coding task.

Audit a whole repo for bugs, security holes, load failures, untested risk, and deletable code.

List every shortcut and ponytail comment as a debt ledger without changing any code.

Review a change for logic, safety, load behavior, test coverage, speed, and unnecessary lines in plain English.

Designs stable APIs, module boundaries, and type contracts between frontend and backend.

Reviews diffs and pull requests across multiple quality dimensions before merging changes.

Refactor working code for clarity and maintainability without changing its behavior.

Finds root causes of failing tests, broken builds, and unexpected errors systematically.

Removes old systems and migrates users or database schemas without downtime, safely.

Structures commits, branches, and PRs, splitting messy working trees into atomic commits.

Delivers multi-file changes in thin, verifiable slices, optionally behind feature flags.

Profiles and fixes bottlenecks across frontend, backend, queries, and Core Web Vitals.

Verifies implementation choices against official documentation to produce authoritative, source-cited code avoiding outdated patterns.

Prepare a GitHub pull request with clean commits, clear title and body, verification notes, and review replies.

Read every source file in a new project to get up to speed fast.

Cluster GitHub issues by root cause and bundle fix PRs that close each cluster.

Map codebase features into flowcharts and propose a unified architecture for refactors.

Search code structure via tree-sitter AST to find functions without reading full files.

Compare git worktrees and PRs read-only to produce one consolidation plan.

Build an interactive knowledge graph of a codebase's architecture, components, and relationships.

Ask questions about a codebase and get answers grounded in its knowledge graph.

Launch an interactive web dashboard to visualize a codebase's knowledge graph.

Analyze git diffs or pull requests to see changed components, affected areas, and risks.

Get a deep-dive explanation of a specific file, function, or module in the codebase.

Searches and rewrites code by syntax shape across 25 languages for codemods and rules.

Runs hypothesis-driven debugging to find root causes and lock fixes with failing tests.

Handles atomic commits, rebases, squashes, and git-history investigations like blame and bisect.

Handles all git operations: atomic commits, rebase, squash, and history search via blame or bisect.

Lets developers submit verified bug fixes for LazyCodex or upstream Codex CLI defects.

Query language-server diagnostics, definitions, references, symbols, and rename-safety checks in the workspace.

Configures a language server so diagnostics, go-to-definition, and rename work in tooling.

Applies strict, modern practice in Python, Rust, TypeScript, and Go with typed errors and tests.

Guides refactors and restructuring with sound decomposition, simplification, and code modernization.

Removes AI-generated code smells from branch changes behind regression tests to keep code clean.

Generate SEO template pages at scale from structured data, such as location or comparison pages.

Add and fix JSON-LD schema markup so pages qualify for Google rich results.

Automate lab registry, inventory, and ELN data through the Benchling Python SDK and REST API.

Scales pandas and NumPy workflows beyond memory or across clusters with chunked parallel computation.