「codebase」の検索結果

Scan the codebase for common security issues: hardcoded secrets, SQL injection vectors, XSS, unvalidated inputs, and insecure defaults. Use before deploying, as part of code quality review, or when asked to check for security issues.

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。

Run a comprehensive code quality audit covering security, performance, and maintainability. Use for quarterly audits, pre-release reviews, or when onboarding to a large 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。

Generate a README.md for the current project by analyzing the codebase structure, package files, and existing documentation. Use when asked to write a README, create documentation, or document the 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。

API design conventions for this codebase. Use whenever writing or reviewing API endpoints, route handlers, or HTTP clients.

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。

REST API design conventions for this codebase. Use when writing or reviewing API endpoints, route definitions, response formatting, or client code that calls the API.

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。

Research the codebase to answer a question without making any changes. Use when exploring code, understanding architecture, or investigating how something works.

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。

Investigate two separate areas of the codebase simultaneously and combine findings into a comparison report. Use when you need research on two independent topics at once, want to compare two subsystems, or need to understand how two components relate to each other.

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 beautiful, on-brand HTML artifacts — reports, diagrams, diff reviews, slide decks, plans, recaps, dashboards. Loads on creation intents ("create a plan", "make me an implementation plan", "generate a diagram", "build a slide deck", "draft a recap", "visualize this", "render this as HTML", "make me a status update") and exploration intents ("show me three layouts", "explore document shapes", "compare visual treatments", "explore a new design system", "compare replacement brand directions") and iteration intents ("make this beautiful", "polish this report", "make this less generic", "design this", "theme this", "use my brand", "iterate on this design", "review this artifact", "make this bolder", "make this quieter", "simplify this design", "animate this", "improve the look of", "give this a refresh"). Captures brand from the user's codebase, asking, or live site, then applies it to every artifact.

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 for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.

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。

Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.

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。

Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.

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 the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"

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 the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: "Index this repo", "Reanalyze the codebase", "Generate a wiki"

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。

Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.

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。

Set up and optimize repositories for AI coding agents. Creates minimal AGENTS.md, CLAUDE.md symlink, docs/REQUIREMENTS.md, docs/BUSINESS-RULES.md, feedback loops, and deterministic enforcement (Claude Code hooks, OpenCode plugins). Use when user wants to make a repo AI-friendly, set up AGENTS.md/CLAUDE.md, document requirements/business rules for AI, add pre-commit hooks for AI workflows, or optimize codebase structure for coding agents.

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。

Domain-Driven Design system for software development. Use when designing new systems with DDD principles, refactoring existing codebases toward DDD, generating code scaffolding (entities, aggregates, repositories, domain events), facilitating Event Storming sessions, creating bounded context maps, or performing code reviews with a DDD lens. Covers both strategic design (bounded contexts, subdomains, context maps, ubiquitous language) and tactical design (entities, value objects, aggregates, domain services, repositories). Supports all major architecture patterns (Hexagonal/Ports & Adapters, CQRS, Event Sourcing, Clean Architecture) with language-agnostic guidance and concrete examples in Python and TypeScript.

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。

Validate whether a feature request fits the existing codebase — check for duplicates, contradictions, scope creep, and architectural misfit

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 surfacing tech debt as trackable items — interest-vs-principal framing, prioritisation by carrying cost, repayment plan — even if the user just says 'this codebase is a mess'.

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 multi-pass codebase audit — orchestrates project-analysis-core plus the framework-specific project-analysis-*; explicit request only. Single-pass scan → project-analyzer.

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 packaging a codebase to a single AI-friendly file for LLM analysis — local or remote, XML/Markdown/JSON, token counting, gitignore filtering, peer-side `repomix` CLI.

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 a diff needs a readability review — naming, single-responsibility, DRY, dead code, mismatch with codebase conventions — dispatched by /review-changes, /do-and-judge, /judge.

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 the user says "create context", "document this area", or wants a structured snapshot of a codebase area for agent orientation.

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 picking which analysis or project-analysis-* skill fits a request — routes by scope, framework, and symptom — even if the user just says 'analyze this' or 'dig into 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。

Route codebase-structure questions (who calls X, where used, change-impact) to an existing code-graph first: impact, tests-for, dead cheaper, never more precise; grep routine. Also 'call graph'.

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。