2,838 件 ・ 関連度順
概要と使いどころ
Designs or reviews relational, document, key-value, graph, or search data models with ownership, invariants, access paths, migrations, consistency, retention, privacy, and recovery behavior. Use for schema changes, new data stores, indexes, migrations, persistence boundaries, or query-driven design. Not for a query-only bug without a model change or for API contract design.
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。
Reviews an existing codebase for structural friction, unclear ownership, leaky or shallow interfaces, excessive coupling, misplaced state, poor testability, and risky dependency direction, then prioritizes evidence-backed improvement candidates. Use for architecture audits, modularization, modernization, or recurring cross-cutting change pain. Not for designing one new interface, simplifying a local function, or fixing a reproduced bug.
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。
Maps an unfamiliar or large codebase before implementation by locating entry points, ownership, execution paths, conventions, tests, dependencies, change hotspots, and unresolved questions. Use when onboarding to a repository, scoping a cross-cutting change, preparing a handoff or reusable CodeTour, explaining a subsystem, or when the agent is guessing where behavior lives. Not for diagnosing one reproduced failure or designing a new architecture before the current system is understood.
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。
Designs database schemas, migrations, and data models for PostgreSQL, MySQL, MongoDB, and Redis. Use when planning tables, relationships, indexes, or ORM-backed schema changes.
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。
Creates Roblox experiences from empty Studio place to published world. Use when starting, building, validating, or shipping a Roblox game.
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。
Chooses under uncertainty: value of more data, cost-based thresholds, abstention, when to stop a test and ship, robust choice. Use when deciding, not estimating.
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。
Creates Godot games from empty project to exported build. Use when starting, building, validating, or shipping a Godot 2D/3D game or app.
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。
Measures AI coding impact and extension robustness. Use when tracking delivery, quality trajectories, cost, experience, pilots, scorecards, or leadership reporting.
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。
Prompt engineering for production LLMs — structured outputs, evals, RAG, tool workflows, multimodal prompting, and safety. Use when designing, debugging, or shipping prompts.
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。
Designs operating models for AI in product teams. Use when planning platform ownership, provider strategy, data boundaries, evals, or sensitive-data controls.
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。
Transform any internship experience into resume-ready, interview-ready expressions — for all roles: dev, product, operations, design, sales, finance.
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。
Help return an item or request a refund from any retailer. Identifies the item, finds the return policy, navigates the process, and handles shipping labels or phone calls.
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。
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
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。
Release pipeline for CLI, mobile, web, and server. Guides through version bumping, building, testing, publishing, and deploying. Replaces the old interactive release-it flow with a Claude Code-native experience. Use when user types /release or asks to release, publish, deploy, or ship any component.
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。
Add durable end-to-end tests for user/API-visible behavior. Detect or scaffold the E2E framework, write tests, run the app, and store evidence. Use for E2E, Playwright/Cypress, regression tests, or quality gates. Not exploratory QA.
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。
Improve existing code without changing behavior: scan smells, simplify, dedupe, reuse utilities, and verify after edits. Use for refactor, cleanup, simplify, reduce duplication, extract method, dead code, or code smells. No PR.
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。
Static code review of the active diff: trace changed paths and report concrete P1/P2/P3 correctness, security, or spec bugs with file:line evidence. Use for code review or bug checks. Not runtime QA.
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。
Runtime QA of a change: start the app, test acceptance criteria and edge cases, and report evidence. Use for "test this", "QA", "does it work", exploratory checks, or post-review runtime verification. Not static code review.
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。
Holistic cross-GDD consistency and game design review. Reads all system GDDs simultaneously and checks for contradictions between them, stale references, ownership conflicts, formula incompatibilities, and game design theory violations (dominant strategies, economic imbalance, cognitive overload, pillar drift). Run after all MVP GDDs are written, before architecture begins.
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。
Record a causal relationship between two memories in AgentDB — "X caused Y", "A supersedes B", "patch-foo depends-on patch-bar". Use when the user is documenting cause/effect, dependencies, supersessions, or after-action 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。
Reviewing code via multi-engine orchestration (Claude + Codex) on three axes — secure, correct, and lean — shipping only findings worth fixing. Use for PR review or pre-commit. Complements Zen.
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 public TikTok videos and commerce relationships through Nexscope.
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。
Query 1688 product bestseller billboard data for sourcing discovery and wholesale product research. Trigger when the user mentions 1688 product rankings, 1688 bestseller lists, wholesale hot products, domestic sourcing rankings, dropshipping product selection, 1688 trending products, bulk purchase popular items, supplier product rankings, 1688 billboard, 1688 bestsellers, sourcing rankings, wholesale hot products, trending product rankings, supplier rankings, 1688 trends. Even if the user does not explicitly mention "1688 billboard", if their need involves discovering hot-selling wholesale products or sourcing opportunities on the 1688 platform, this skill should also be triggered.
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 public TikTok creators and commerce relationships through Nexscope.
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。