743 件 ・ 関連度順
概要と使いどころ
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。
Evaluate LLM agents and tool-using workflows—task success, tool accuracy, latency/cost, safety, and regression suites. Use when shipping agent features, comparing prompts/models, or debugging agent failures.
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。
Audit Dockerfiles and Compose files against the 10 common Docker mistakes — image security, build efficiency, runtime safety. Use when reviewing or hardening Docker configs. Trigger on "audit my Dockerfile", "check this Compose file", "Docker best practices", "is my container secure".
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。
Performs critical code reviews using REVIEW.md guidelines. Evaluates code quality, architecture, testing, and domain-specific concerns (legal faithfulness, cross-law references, engine safety). Use after completing significant code changes or before merging.
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 and task-specification skill for improving prompts, agent instructions, system messages, evaluation prompts, coding-agent tasks, multi-step workflows, and LLM output reliability. Use when rewriting vague prompts, adding constraints, reducing ambiguity, improving safety, creating reusable prompt templates, or converting goals into actionable agent instructions.
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。
Assistant-behavior design skill for approximating a Claude-like analytical, careful, conversational style without claiming to be Claude or Anthropic. Use when the user asks to duplicate, emulate, adapt, or recreate a Claude-style "mythos" or persona for prompts, agent specs, writing style, reasoning discipline, safety posture, or UX behavior.
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。
Infrastructure code review patterns. Use when reviewing CI/CD workflows, Dockerfiles, deployment configs, and IaC. Covers supply-chain pinning, secret exposure, container hygiene, least-privilege permissions, and deployment 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。
Use when the user asks for general frontend code review, PR review, merge-readiness assessment, architecture maintainability, type-safety, rendering/state risks, style consistency, testability gaps, or a cross-cutting review summary. Delegate deep security, accessibility, E2E, or performance investigations to their specialized skills; Chinese triggers include code review, code review, 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。
Use when a task needs the judgment of a licensed elevator mechanic — diagnosing a governor or safety-circuit fault, planning or witnessing a Category 1/Category 5 periodic test, sequencing an elevator or escalator installation/modernization to code, or deciding whether equipment can stay in service pending a repair.
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 task needs the judgment of an Environmental Science Professor — deciding whether a field exercise crosses a weather/safety cancel threshold, building an NSF/EPA proposal budget, normalizing an interdisciplinary tenure case against the right benchmark, checking whether a mixed-methods field project needs IRB review, or handling a politically charged classroom topic without losing academic-freedom footing.
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 task needs the judgment of a Nutrition and Dietetics Technician, Registered (NDTR/DTR) — translating a physician's diet order into a texture/therapeutic tray specification, triaging a nutrition-screening or intake-decline signal for RDN escalation, auditing a tray line or food-safety log against a threshold, or drawing the line between routine dietetics work and a nutrition-diagnosis call that belongs to the supervising RDN.
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 task needs the judgment of a Chemical Engineer — closing a mass/energy balance around a reactor or separation unit, evaluating scale-up risk from bench to pilot to plant, reviewing a HAZOP finding or LOPA scenario for a covered process, sizing relief for a runaway-reaction or fire case, or checking a process safety information (PSI) package against OSHA 1910.119 before startup.
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 task needs the judgment of a Biology Professor at a research university — writing or defending an NIH/NSF grant budget, deciding authorship order on a paper, navigating an IACUC or biosafety protocol, mentoring a PhD student through a stalled project, or converting a course when active-learning data doesn't match student pushback.
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。
Audit YouTube Ads campaign setup, video and Demand Gen inventory, Shorts, in-stream, CTV, creative, audiences, brand safety, bidding, and measurement. Use for YouTube Ads, video ads, pre-roll, bumper ads, skippable in-stream, Shorts ads, Demand Gen, VAC migration, CTV, or YouTube campaign optimization.
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。
Audit Snapchat Ads measurement, Snap Pixel and Conversions API, mobile and app campaigns, creative, AR and catalog formats, audiences, budgets, brand safety, and reporting. Use for Snapchat Ads, Snap Ads, Snap Pixel, Snapchat Conversions API, AR Lens ads, app-install campaigns, or Snapchat dynamic product ads.
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 Claude Ads contracts, scoring inputs, run bundles, capabilities, source freshness, safety, installation, uninstall, or release readiness. Use for ads validate, ads status, ads next, stale claims with missing tool access, maturity checks, ownership-manifest uninstall, preserving unrelated ads-* skills, checksum verification, preflight, QA, or release audits. Missing access must demote stale evidence for the run and block dependent release-current claims before recovery guidance.
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。
Review Yuzu C++ source changes for resource ownership, RAII, borrowed lifetimes, C ABI contexts, casts, process/syscall boundaries, callbacks, threads, and sanitizer coverage. Use for any governance Gate 3 review when C++ files change, paired with cpp-expert.
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。
View, add, and execute Aavegotchi Baazaar listings on Base mainnet (8453). Buy with GHST directly or buy with USDC using swapAndBuy*. Safety-first: dryRun defaults true (simulate with cast call; only broadcast with cast send when dryRun=false / DRY_RUN=0).
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。
Drafts an Adverse Event Reporting Policy compliant with 21 CFR 312.32 (IND safety reporting), 21 CFR 314.80 (postmarketing), and ICH E2A, with multi-jurisdictional overlays (EMA, PMDA, Health Canada). Covers seriousness/causality frameworks, expedited reporting timelines, roles, documentation standards, training mandates, and QA mechanisms. Use when drafting or updating an adverse event reporting policy, pharmacovigilance policy, AE/SAE reporting SOP, or safety reporting framework for a pharmaceutical company, CRO, biotech, or clinical research institution.
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。
Safety constraints and quality gates for pipeline and workflow execution
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。
Schema design, normalization decisions, indexing strategies, and migration safety for relational databases. Use when designing tables, choosing between normalize vs denormalize, selecting index types, planning zero-downtime migrations, or setting up connection pooling. Activate on "schema design", "normalization", "denormalization", "foreign key", "index strategy", "migration", "connection pooling", "composite key", "surrogate key", "soft delete", "polymorphic association". NOT for PostgreSQL-specific query tuning or EXPLAIN analysis (use postgresql-optimization), NoSQL or document database design, or cloud database provisioning.
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。
Detect crisis signals in user content using NLP, mental health sentiment analysis, and safe intervention protocols. Implements suicide ideation detection, automated escalation, and crisis resource integration. Use for mental health apps, recovery platforms, support communities. Activate on "crisis detection", "suicide prevention", "mental health NLP", "intervention protocol". NOT for general sentiment analysis, medical diagnosis, or replacing professional help.
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。
Select colormaps and qualitative palettes for scientific figures using perceptual-uniformity, color-vision-deficiency safety, and luminance-monotonicity criteria. Covers Crameri scientific colormaps, viridis/cividis/magma, Okabe-Ito categorical, ColorBrewer, and the rainbow/jet critique. Use when choosing palettes for heatmaps, scatter, networks, or any encoding where color carries quantitative or categorical meaning.
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。
Operational skill hub for LLM system architecture, evaluation, deployment, and optimization (modern production standards). Links to specialized skills for prompts, RAG, agents, and safety. Integrates recent advances: PEFT/LoRA fine-tuning, hybrid RAG handoff (see dedicated skill), vLLM 24x throughput, multi-layered security (90%+ bypass for single-layer), automated drift detection (18-second response), and CI/CD-aligned evaluation.
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。