1,475 件 ・ 関連度順
概要と使いどころ
Code quality dashboard. Wraps existing project tools (type checker, linter, test runner, dead code detector, shell linter), computes a weighted composite 0-10 score, and tracks trends over time. Use when: "health check", "code quality", "how healthy is the codebase", "run all checks", "quality score". (gstack)
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。
Generate comprehensive technical documentation for developers taking over an AEM Edge Delivery Services project. Analyzes codebase structure, custom implementations, design tokens, and produces a complete developer guide.
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。
Harvest every `ponytail:` comment in the codebase into a debt ledger, so the deliberate shortcuts and deferrals ponytail leaves behind get tracked instead of rotting into "later means never". Use when the user says "ponytail debt", "/ponytail-debt", "what did ponytail defer", "list the shortcuts", "ponytail ledger", or "what did we mark to do later". One-shot report, changes nothing.
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。
Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local markdown), triage label vocabulary, and domain doc layout. Run before first use of `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out` — or if those skills appear to be missing context about the issue tracker, triage labels, or domain docs.
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。
Comprehensive onboarding process for new developers. Use when helping someone get set up with a codebase, configuring development environments, or creating onboarding documentation.
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。
Initialize AGENTS.md documentation for a codebase. Use when setting up a new repository for AI coding assistants, creating project documentation for Claude Code or Cursor, or improving existing AGENTS.md files.
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。
Multi-agent exploration and task delegation for complex areas of interest. Use when you need to deeply explore a codebase area, gather information from multiple perspectives, or delegate parallel research tasks for comprehensive analysis.
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。
Remove AI-generated code slop and improve code quality. Use when you need to clean up AI-written code, remove unnecessary defensive patterns, eliminate inconsistent comments, or align code style with the rest of the codebase.
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。
Read all suggested PR changes and apply them directly to the codebase. Use when you have PR review comments to address, suggested changes to implement, or feedback to incorporate into your code.
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。
Bootstrap full agent infrastructure for an existing, already-coded project without modifying a single line of source code. Surveys the repo, infers conventions from manifests, README, git history, and source samples, then generates the missing AGENTS.md, docs/architecture.md, docs/product-soul.md, ADR backfill, and seeded docs/memory/ files. Asks the user only about gaps the repo cannot reveal. Load when the user asks to "retroactive project setup", "backfill agent infrastructure", "bootstrap agents for this existing repo", "onboard agents to a legacy codebase", "set up agents without touching code", or "fill in missing agent context for this project".
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。
Generate a tailored AGENTS.md for any new project by interviewing the user about their skill gaps, project goals, and tech context. Load when the user asks to set up a project, initialize agents, create an AGENTS.md, bootstrap a repo, onboard agents to a codebase, or says "set up this project for agents". Also triggers on "write an AGENTS.md for this project", "configure agents for my repo", "project bootstrap", "agent onboarding", or when the user starts a new project and needs agent-ready configuration. Re-run when new context arrives (PRD written, stack changes, team changes) to update the AGENTS.md.
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。
Map symbol dependencies, callers, and blast radius before editing code. Load when the user asks what depends on a symbol, what breaks if they change something, blast radius of a change, reverse dependencies, or which tests cover a function. Also triggers on "who calls this", "impact of changing", "dependency map", "what uses this", "find callers", or before any non-trivial edit when safe-change is not yet active. Pairs with codebase-understanding for broad architecture; this skill is symbol-scoped and edit-gated.
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 the user requests to generate, create, or improve documentation for code, APIs, libraries, repositories, or software projects. Supports README generation, API reference documentation, inline code comments, architecture documentation, changelog generation, and developer guides. Trigger on requests like "document this code", "create a README", "generate API docs", "write developer guide", or when analyzing codebases for documentation purposes.
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。
Generate comprehensive C4 architecture documentation for an existing repository/codebase using a bottom-up analysis approach.
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。
Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.
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。
react-resizable-panels v4 rules for this SSR codebase. Use when importing react-resizable-panels (PanelGroup and PanelResizeHandle are v3 names), editing components/ui/resizable* or features/code/layout/, building a split-pane, sidebar, or drag-handle layout, or persisting or toggling panel sizes.
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。
Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Use when the user explicitly asks to threat model a codebase or path, enumerate abuse paths, or perform AppSec threat modeling.
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。
未知のコードベースを分析し、アーキテクチャマップ、主要エントリポイント、規約、スターター CLAUDE.md を含む構造化されたオンボーディングガイドを生成する。新しいプロジェクトに参加する際や、リポジトリで初めて Claude Code をセットアップする際に使用。
Detects code smells in PHP codebases. Identifies God Class, Feature Envy, Data Clumps, Long Parameter List, Long Method, Primitive Obsession, Message Chains, Inappropriate Intimacy. Generates actionable reports with refactoring recommendations.
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。
Analyzes coupling and cohesion metrics in PHP codebases. Calculates Afferent/Efferent coupling (Ca/Ce), LCOM metrics, instability index, and abstractness. Identifies highly coupled modules and low cohesion classes.
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。
Analyzes PHP codebase for SOLID principle violations. Detects God classes (SRP), type switches (OCP), broken contracts (LSP), fat interfaces (ISP), and concrete dependencies (DIP). Generates actionable reports with severity levels and remediation recommendations.
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。
Analyzes PHP codebase for test coverage gaps. Detects untested classes, methods, branches, exception paths, and edge cases. Provides actionable recommendations.
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。
Fourth step in building instruction context for codebase
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。
Deep knowledge expert for the 33GOD agentic pipeline system, understands component relationships and suggests feature implementations based on actual codebase state
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。