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概要と使いどころ
Route HugeGraph MCP regression testing tasks to the current public tool surface, including inspection, read-only queries, Gremlin generation, extraction, controlled import, schema validate/dry-run, safety guards, and admin-gated tool checks.
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。
This skill channels the strategic and empathetic reasoning of Whitney Wolfe Herd, founder and CEO of Bumble. Use this skill whenever you are advising on platform safety, double-sided marketplace dynamics, women's empowerment, purpose-driven entrepreneurship, or overcoming professional trauma. It is highly applicable when users face decisions about product constraints (like time limits or behavioral guardrails), balancing digital engagement with real-world connection, or navigating outdated social dynamics. Reach for this skill to help users shift from 'me to we,' engineer kindness into their products, and focus on core inputs rather than vanity metrics.
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。
This skill channels the reasoning of Yann LeCun, Chief AI Scientist at Meta and Turing Award winner. Use this skill whenever you are evaluating AI architectures, discussing the limitations of Large Language Models (LLMs), debating AI safety and regulation (anti-doomerism), or designing autonomous machine intelligence. It is highly relevant for topics involving self-supervised learning, open-source AI strategy, world models, physical grounding versus text-based learning, and objective-driven AI systems. Trigger this skill to apply his frameworks on abstract representation learning (JEPA) and energy-based models, even if the user doesn't explicitly name him.
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。
This skill channels the strategic and scientific reasoning of Demis Hassabis, CEO and co-founder of Google DeepMind, AlphaGo and AlphaFold, and 2024 Nobel Prize in Chemistry. Use this skill whenever you are evaluating AI for scientific discovery, tackling "root node" problems, designing reinforcement learning systems, or discussing AGI timelines, safety, and global governance. Reach for it when the user faces massive combinatorial search spaces, wants to apply AI to physical/biological sciences (like digital biology), or needs to balance rapid AI scaling with the rigorous scientific method. Apply these mental models to shift the focus from building consumer apps to using AI as the ultimate meta-solution for understanding reality.
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。
Applies the reasoning style of Geoffrey Hinton, deep learning pioneer and 2018 Turing Award winner. Use this skill whenever evaluating AI safety, existential risk, neural network architectures, cognitive science, or tech regulation. Reach for this when the user is discussing LLM capabilities (understanding vs. autocomplete), the biological vs. digital intelligence divide, AI alignment strategies, or the societal/economic impacts of automation. It is highly applicable when dealing with contrarian scientific ideas, hardware/software integration (mortal vs. immortal computing), or global cooperation on technological threats. Do not wait for the user to name Hinton; trigger this skill proactively for any deep learning or AI existential risk 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。
Applies the reasoning style of Ilya Sutskever (deep learning pioneer, co-founder of OpenAI and Safe Superintelligence Inc.) to problems involving AI architecture, scaling laws, alignment, and research strategy. Reach for this skill whenever discussing machine learning paradigms, the limits of compute and data, AGI timelines, superintelligence safety, or deciding between hardcoding vs. learning. Trigger this skill for questions about next-word prediction, reinforcement learning efficiency, generalization gaps, and transitioning from brute-force scaling to fundamental research, even if the user doesn't explicitly name him.
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。
Status-first routing, bounded evidence collection, and safety guidance for issue-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。
Preserve rollback before materially risky edits.
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。
Suede Labs Android app factory: plan, build, test, and release a production-grade native Android app from a product idea through Google Play. Use for requests to create, ship, submit, monetize, or modernize an Android app. Covers Kotlin and Jetpack Compose architecture, API-level policy verification, accessibility, privacy and Data Safety, Play Billing, Play Integrity, account deletion, testing, performance, store assets, signing, staged rollout, and a release evidence gate. NOT FOR: iOS work (private Suede Labs companion, not in this pack: ios-app-factory), a review-only pass on an existing app (use suede-code-review), or live Play listing and keyword audits on a shipped app (use suede-aso).
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。
Suede AI combined code review and ship grade in one pass: findings with file:line evidence plus an A-F lane grade, Instant-F security triggers, OWASP checks, a deploy-safety gate, and fix briefs. Use when asked to review this, grade this, security-check this, is this safe to ship, or check this PR before merge: whenever the caller wants both what is wrong and whether it ships. Runs only when explicitly invoked; never auto-fires on a diff, save, or commit. NOT FOR: findings only with accessibility and SEO lanes (use suede-code-review); the letter grade alone (use suede-code-grader); making CI enforce the verdict on merge (use suede-ci-gate); LLM, RAG, or agent behavior coverage (use suede-ai-eval).
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。
Summarize the current Git working tree and create a straightforward non-interactive commit. Use when Codex is asked to quickly commit the current work, commit everything currently changed, prepare a concise commit message from the diff, or avoid extra confirmation and commit splitting unless there is a real safety issue.
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。
Neo4j .NET Driver v6 — IDriver lifecycle, DI registration (singleton), ExecutableQuery fluent API, ExecuteReadAsync/ExecuteWriteAsync managed transactions, IResultCursor (FetchAsync/ ToListAsync), record value access (.Get<T>/As<T>), null safety, UNWIND batching, temporal types, await using, EagerResult, object mapping, CancellationToken, error handling, and common traps. Use when writing C# or .NET code connecting to Neo4j. Also triggers on Neo4j.Driver, IDriver, ExecutableQuery, ExecuteReadAsync, ExecuteWriteAsync, IResultCursor, IAsyncSession, or any Bolt/Aura work in .NET/C#. Does NOT handle Cypher authoring — use neo4j-cypher-skill. Does NOT cover driver version upgrades — use neo4j-migration-skill.
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, run, and analyze structured test suites for Agentforce agents — functional AND security. TRIGGER when: user writes or modifies test spec YAML (AiEvaluationDefinition); runs sf agent test create, run, run-eval, or results commands; asks about test coverage strategy, metric selection, or custom evaluations; interprets test results or diagnoses test failures; asks about batch testing, regression suites, or CI/CD test integration; requests security testing, OWASP LLM Top 10, red-teaming, penetration testing, prompt-injection tests, a security grade, or a vulnerability assessment of an agent. DO NOT TRIGGER when: user creates, modifies, previews, or debugs .agent files (use agentforce-generate); deploys or publishes agents; writes Agent Script code; uses sf agent preview for development iteration; analyzes production session traces (use agentforce-observe); performs a static safety review of .agent file content (use agentforce-generate Section 15).
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。
Design database schemas with Prisma/Drizzle, PostgreSQL index strategy (B-tree, GIN, GiST, BRIN, Hash), query optimization (EXPLAIN ANALYZE), migration safety (expand/contract, zero-downtime), and sharding/partitioning. Use when user asks to design schema, create migrations, optimize slow queries, add indexes, choose between SQL/NoSQL, or set up Prisma/Drizzle. Do NOT use for data warehouse dimensional modeling, ETL pipeline design, or non-relational (MongoDB, DynamoDB) schema 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。
Use when writing or restructuring Unity C# code - assembly definitions and dependency direction, small components with cached references, ScriptableObjects for data and events, DI instead of singletons, Input System, Addressables, serialization safety and Unity 6 API 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。
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude 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。
PR review checklist for Terraform changes covering structure, state safety, security, naming, modules, variables, providers, and CI/CD. Use when reviewing Terraform PRs or doing pre-merge checks.
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。
Kotlin coding standards including null safety, Either error handling, coroutines, and Exposed ORM patterns. Use when writing Kotlin code, reviewing code quality, or learning project patterns.
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。
TypeScript/JavaScript conventions. Apply automatically whenever writing or editing JavaScript, TypeScript, JSX, or TSX code (.js/.jsx/.ts/.tsx) — functions, types, type safety, immutability, error handling, comments, file size, exports, naming, and library conventions for dates and data handling (ts-belt, ts-pattern). Use for any new code or refactor in these languages. For React-specific rules (components, hooks, JSX, TanStack Query, Zustand, React Hook Form), also apply the react skill.
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。
用户考虑使用杠杆（保证金/贷款/融资）来放大投资回报，或评估财务安全性时。 语言信号:"要不要加杠杆"/"用保证金买""贷款投资划算吗"/"融资利率很低应该借钱投吗" 不适用于:不涉及杠杆/融资的纯经营决策。
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。
Simplifies recently changed or explicitly scoped code while preserving observable behavior, error semantics, side effects, ordering, and public contracts. Use for readability cleanup, dead-code removal, reducing nesting, eliminating redundant wrappers, or making an implementation easier to maintain. Not for architecture redesign, new behavior, speculative cleanup, or a refactor without an adequate safety net.
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。
Canonical guide to Genesis browser automation - layers (Camoufox, Chromium, the user's Chrome over CDP, TinyFish, desktop), per-tool timeouts, safety gates, verify-after-act, what a click checks (scroll, hit test, covered targets), overlays, iframes, tabs, and failure diagnosis
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 wants to know what will break if they change something, or needs safety analysis before editing code. Examples: "Is it safe to change X?", "What depends on this?", "What will break?"
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。