「refactoring」の検索結果

用于在不改变可观察行为的前提下重组既有前端代码，包括职责提炼、模块搬移、条件逻辑简化、API 整理和数据组织。不要用于新增功能、改变行为的缺陷修复、依赖或框架迁移，以及已经证实的死代码清理。

日本語の概要は準備中です。原文の説明を表示しています。

用于证明前端重构保持了既有行为、选择合适的安全网、逐步验证结构修改，或依据证据给出 PASS、PARTIAL、NOT PROVEN 的行为保持结论。

日本語の概要は準備中です。原文の説明を表示しています。

保持行为的前端重构主要涉及数据重组类重构，已经选定或正在评估对应手法，需要查询该 family 的操作步骤、风险与 JavaScript/TypeScript/React/Vue 适配时。

日本語の概要は準備中です。原文の説明を表示しています。

已经有结构问题证据，需要在多种保持行为的重构手法之间比较前置条件、选择最小安全方案，或决定多个重构步骤的合理先后关系时。

日本語の概要は準備中です。原文の説明を表示しています。

保持行为的前端重构主要涉及搬移特性类重构，已经选定或正在评估对应手法，需要查询该 family 的操作步骤、风险与 JavaScript/TypeScript/React/Vue 适配时。

日本語の概要は準備中です。原文の説明を表示しています。

保持行为的前端重构主要涉及函数类重构，已经选定或正在评估对应手法，需要查询该 family 的操作步骤、风险与 JavaScript/TypeScript/React/Vue 适配时。

日本語の概要は準備中です。原文の説明を表示しています。

保持行为的前端重构主要涉及封装类重构，已经选定或正在评估对应手法，需要查询该 family 的操作步骤、风险与 JavaScript/TypeScript/React/Vue 适配时。

日本語の概要は準備中です。原文の説明を表示しています。

保持行为的前端重构主要涉及条件控制类重构，已经选定或正在评估对应手法，需要查询该 family 的操作步骤、风险与 JavaScript/TypeScript/React/Vue 适配时。

日本語の概要は準備中です。原文の説明を表示しています。

Use when choosing, implementing, reviewing, or refactoring frontend state ownership across React, Vue, Next.js, Nuxt, URL state, server state, form state, browser persistence, or global stores. Prefer narrower skills for TanStack Query cache details, browser storage persistence, or form validation internals; Chinese triggers include state management, state ownership, store selection.

日本語の概要は準備中です。原文の説明を表示しています。

Use when restructuring existing frontend code while preserving observable behavior, including responsibility extraction, module movement, conditional simplification, API cleanup, or data organization. Do not use for new feature behavior, behavior-changing bug fixes, dependency or framework migrations, or proven dead-code cleanup.

日本語の概要は準備中です。原文の説明を表示しています。

Use when implementing new observable frontend behavior or fixing a behavior-changing bug where a failing test can describe the missing or incorrect behavior first. Apply to components, hooks/composables, utilities, API clients, route guards, or user workflows; pure behavior-preserving refactoring uses an already-green contract instead.

日本語の概要は準備中です。原文の説明を表示しています。

Python engineering skill for implementing, debugging, testing, packaging, typing, reviewing, and refactoring Python applications, scripts, APIs, automation, data processing, CLIs, and libraries. Use for .py files, pyproject.toml, requirements files, pytest, async Python, type hints, packaging, dependency management, and Python performance or reliability work.

日本語の概要は準備中です。原文の説明を表示しています。

Go software engineering skill for designing, implementing, debugging, testing, reviewing, and refactoring Go applications, CLIs, APIs, services, concurrency code, modules, and tooling. Use for .go files, go.mod/go.sum, goroutines/channels, interfaces, error handling, performance profiling, race fixes, and idiomatic Go architecture.

日本語の概要は準備中です。原文の説明を表示しています。

Tend the Allium garden. Use when the user wants to write, edit, update, add to, improve, clarify, refine, restructure, fix or migrate Allium specs. Covers adding entities, rules, triggers, surfaces and contracts, fixing syntax or validation errors, renaming or refactoring within specs, migrating specs to a new language version, and translating requirements into well-formed specifications. Pushes back on vague requirements.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze and consolidate Flyway SQL migrations into clean, domain-grouped CREATE TABLE migrations for pre-production projects. Use when consolidating database migrations, refactoring Flyway schemas, simplifying migration history, grouping tables by domain, or when user mentions "consolidate migrations", "merge migrations", "clean up Flyway", "refactor schema", "baseline migrations".

日本語の概要は準備中です。原文の説明を表示しています。

Iteratively study and apply elegant coding patterns. Each iteration - understand the code, research what simple and elegant code looks like, apply learnings, verify with CI. Use as a standalone refactoring pass or when the user asks to make code more elegant, simple, or idiomatic.

日本語の概要は準備中です。原文の説明を表示しています。

Best practices for writing reliable Pulumi programs. Covers Output handling, resource dependencies, component structure, secrets management, safe refactoring with aliases, and deployment workflows.

日本語の概要は準備中です。原文の説明を表示しています。

Guide for writing idiomatic Rust code based on Apollo GraphQL's best practices handbook. Use this skill when: (1) writing new Rust code or functions, (2) reviewing or refactoring existing Rust code, (3) deciding between borrowing vs cloning or ownership patterns, (4) implementing error handling with Result types, (5) optimizing Rust code for performance, (6) writing tests or documentation for Rust projects.

日本語の概要は準備中です。原文の説明を表示しています。

Write readable, maintainable code: naming, small functions, clear control flow, and honest abstractions. Use when writing new code, refactoring, or reviewing for readability.

日本語の概要は準備中です。原文の説明を表示しています。

Document and prioritize technical debt. Use when the user says "tech debt", "legacy code", "this code is a mess", "refactoring plan", "we need to clean this up", "paying down debt", "this is hard to change", "how do we fix this codebase", or has code that's difficult to understand or modify - even if they don't explicitly say "technical debt".

日本語の概要は準備中です。原文の説明を表示しています。

Behavioral guardrails against the six most common LLM coding failure modes. Apply on every coding task: writing, editing, reviewing, or refactoring.

日本語の概要は準備中です。原文の説明を表示しています。

Use this skill when designing, generating an MVP blueprint for, auditing, troubleshooting, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, record provenance, interactive presentation, user-memory lifecycles, environment-adaptive tools, speculative tool execution, late-bound capabilities, permissions, system prompts, planning, goals, always-on agents and durable runtime, adaptive agent teams, context compaction, memory, skills, MCP/external connectors, public-board communications, hardware agents and board deployment, self-refining recursive harnesses, programmable context, continual refinement, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.

日本語の概要は準備中です。原文の説明を表示しています。

Write and harden reusable agent-loop specification documents for biomechanics, data science, and vailá coding work. Use when the user says `/preto-loop`, asks to write/create/forge/specify/document an agent loop, turn an iterative vailá task into an autonomous loop, make an overnight loop, or design a biomechanics, data-pipeline, markerless-tracking, testing, refactoring, or performance loop. Include external verification, scientific validity, GUI/CLI parity, reproducibility, memory, guardrails, and named terminal states. Do not use merely to repeat a fixed scheduled prompt, execute an existing loop, or create unrelated documents.

日本語の概要は準備中です。原文の説明を表示しています。

Use when reviewing or refactoring code that pulls apart another object's private representation, such as raw limb/byte/slot access, slice constructors, or helper methods that expose internal storage. Guides agents to find representation envy and suggest moving behavior onto the object that owns the representation, using live-image Genie tools when working in Pharo.

日本語の概要は準備中です。原文の説明を表示しています。