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概要と使いどころ
Emergency fix workflow that bypasses normal sprint processes with a full audit trail. Creates hotfix branch, tracks approvals, and ensures the fix is backported correctly.
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Unity New Input System correctness patterns. Catches common mistakes with action reading (triggered vs IsPressed vs WasPressedThisFrame), action map switching, rebinding persistence, InputValue lifetime, PassThrough vs Value, local multiplayer device assignment, and control scheme auto-switching. PATTERN format: WHEN/WRONG/RIGHT/GOTCHA. Based on Unity 6.3 LTS.
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用于设计、实现或审查前后端 API 集成、类型化 API client、REST/tRPC/OpenAPI 客户端选型、认证刷新、API 错误映射、上传流程、SSE/WebSocket/轮询选择、CORS 相关前端行为或跨边界 loading/error 状态。不要用于纯后端服务架构或仅 TanStack Query 缓存策略；中文触发词包括 API 集成、前后端联调、typed API client、接口错误处理、SSE、WebSocket。
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 designing, implementing, or reviewing frontend-to-backend API integration, typed API clients, REST/tRPC/OpenAPI client choices, auth refresh, API error mapping, upload flows, SSE/WebSocket/polling choices, CORS-facing frontend behavior, or cross-boundary loading/error states. Do not use for backend-only service architecture or TanStack Query cache policy alone; Chinese triggers include API integration, front-end and back-end joint debugging, typed API client, Interface error handling, SSE, WebSocket.
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 drywall and ceiling tile installer — specifying a fire-rated wall/ceiling assembly to a UL design number, hitting an STC target on a demising wall, choosing board type for a wet area, placing control joints on a long run, or diagnosing why a finished assembly failed inspection or a sound/mold complaint.
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 Electrical and Electronic Equipment Assembler — inspecting a solder joint against the specific IPC/J-STD workmanship standard criteria rather than personal visual judgment, following ESD precautions for every component handled since damage is invisible at the time it occurs, verifying a crimped connection with a pull test rather than visual inspection alone, or treating a single suspected cold joint as a potential complete failure point rather than a minor defect.
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 scientist — scoping or reviewing a Phase I/Phase II environmental site assessment, interpreting soil or groundwater sampling results against regulatory action levels, drafting an environmental impact statement or NEPA scoping document, running a contaminant fate-and-transport screening calc, or assessing ecological risk to a receptor.
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 courier or messenger — sequencing a multi-stop route against hard delivery windows, deciding what proof-of-delivery a shipment requires, handling a chain-of-custody transfer for a legal or medical item, or resolving a refused-delivery/no-answer exception against the sender's fallback 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。
Use when a task needs the judgment of a costume attendant/dresser — planning or timing a quick change, building a costume plot or track sheet, deciding a laundry/repair rotation, assigning dresser-to-actor ratios for a scene, or diagnosing why a costume is failing onstage.
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 Bridge and Lock Tender — deciding whether to open a movable span for a vessel signal during a restricted-hours window, sequencing a lock chamber's fill/empty and valve staging, verifying an interlock/gate cycle before commanding span movement, resolving a marine-traffic-vs-vehicle-traffic conflict, or coordinating a vessel passage over VHF.
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 Aircraft Structure, Surfaces, Rigging, and Systems Assembler — deciding whether an out-of-tolerance hole or fastener needs a nonconformance report versus a field fix, verifying torque and calibration status before a fastener installation, diagnosing a FOD (foreign object debris) risk before closing a structure, or reading a drawing callout against a conflicting work instruction.
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。
Conduct rigorous cross-study meta-analysis of scRNA-seq data from ENCODE, integrating multiple single-cell transcriptomic datasets for a tissue/cell type. Use when the user wants to answer "what cell types exist in my tissue and what genes define them?" by combining scRNA-seq data across donors, labs, and platforms. Follows the Mawla et al. 2019 framework for assessing cross-study reproducibility, TIN-based quality filtering, and detection-limit-aware interpretation. Handles batch correction (Harmony/Seurat), dropout awareness, cross-contamination artifacts, and platform-specific biases. Use this skill for ANY scRNA-seq integration task, cross-dataset comparison, cell atlas construction, or reproducibility assessment involving ENCODE single-cell data.
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。
Pre-publish (or retroactive) content-quality gate implementing Google's official self-assessment questions from the creating-helpful-content doc, plus 2024 spam-policy red flags. Verdict: PUBLISH / REVISE / RETHINK. Use when user says "helpful content", "people-first", "content self-assessment", "is my content helpful", or "content quality gate".
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。
Search LCSC Electronics for electronic components — find parts by LCSC number (Cxxxxx) or MPN, check stock/pricing, download datasheets, analyze specifications. Sister company to JLCPCB, same parts library. Sync and maintain a local datasheets directory for a KiCad project. No API key needed — uses the free jlcsearch community API. Use this skill when the user mentions LCSC, JLCPCB parts library, JLCPCB assembly parts, production sourcing, Cxxxxx part numbers, needs to find LCSC equivalents for parts, is preparing a BOM for JLCPCB assembly, or wants to download datasheets and LCSC is available. For package cross-reference tables and BOM workflow, see the `bom` 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。
Rate any product, feature, or experience on the 11-star scale (Brian Chesky's Airbnb thought experiment). Use when user says "rate this experience", "11-star", "star rating", "experience audit", "how good is this", "experience rating", "product audit", "quality assessment", or wants to evaluate product quality and identify improvement paths. Also trigger when user wants to benchmark a feature, assess where a product stands, or map out what "great" looks like - even if they don't explicitly say "11-star".
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 team health using Patrick Lencioni's Five Dysfunctions of a Team model. Use when a leader says "my team feels off", "we have trust issues", "people aren't speaking up in meetings", "accountability is a problem", "we keep missing commitments", "the team is siloed", "we're not working well together", or "I want to do a team health check". Also trigger when someone describes symptoms like passive agreement in meetings, blame culture, missed deadlines without escalation, or people optimizing for their own metrics over team goals.
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。
Take one piece of long-form content (blog post, podcast, talk, article, newsletter) and turn it into a multi-channel asset pack using the STEPPS framework (Jonah Berger, Contagious) to make each derivative asset more shareable. Use when the user says "repurpose this", "turn this into LinkedIn/Twitter/etc", "atomize this", "break this down for social", "create derivative content from X", "make a content pack from this", or wants to maximize output from one input. Each channel is mapped to its strongest STEPPS element. Orchestrates linkedin-post, content-writer, and other skills. For writing the original anchor piece, see thought-leadership-writer or newsletter-writer. For scheduling the derivatives, see social-calendar.
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 a high-performing LinkedIn post in the user's brand voice using Hook-Story-Offer (Russell Brunson) and the Curiosity Gap hook method (George Loewenstein). Every post starts by selecting a named hook formula - specific number + surprising result, contrarian statement, personal confession, direct challenge, or before/after. Use when the user asks for a LinkedIn post, LinkedIn update, LinkedIn content, "post for LinkedIn", thought-leadership post, founder post, or short professional social content. Reads brand voice and ICP from knowledge/ so output sounds like the company, not generic AI. For long-form opinion pieces, see thought-leadership-writer. For the monthly posting plan, see social-calendar. For turning one asset into many posts, see content-repurposer.
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。
Identify gaps between current and desired state. Use when the user says "gap analysis", "what's missing", "current vs future state", "where are the gaps", "capability gap", "maturity assessment", "fit-gap analysis", "what needs to change", "compare current to target", "readiness assessment" - even if they don't explicitly say "gap 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。
Manage Cloudinary media: upload images and videos, list and inspect assets, update metadata, delete assets, and check plan usage. Trigger phrases: cloudinary, upload image, cloudinary usage.
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。
Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability, observability, backup/DR, and cost optimization. Use when asked to productionize, prepare, assess, audit, or review a GKE cluster or workload before going live to production. Don't use for deep-dive single-domain implementation (use specific domain skills like gke-workload-scaling, gke-platform-security, gke-workload-security, gke-service-networking, gke-reliability instead).
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。
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation.
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。
Decision guide for delegating to caveman-style subagents. Tells the main thread WHEN to spawn `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit), or `cavecrew-reviewer` (diff review) instead of doing the work inline or using vanilla `Explore`. Subagent output is caveman-compressed so the tool-result injected back into main context is ~60% smaller — main context lasts longer across long sessions. Trigger: "delegate to subagent", "use cavecrew", "spawn investigator/builder/reviewer", "save context", "compressed agent output".
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 ready-to-paste AI image-gen prompts for 2D game art (character/sprite, icon/UI/item, background/tileset) that stay consistent with the project's art style across separate chat sessions in Claude/Gemini/ChatGPT chat UIs. Use when the user wants to render, generate, or create game art/sprites/icons/backgrounds with AI, or mentions an "art style bible" for a game project. Maintains a persistent `art-style-bible.md` so style doesn't drift between requests, and gives a post-generation checklist plus post-processing guidance for common technical misses (transparency, size, aspect ratio).
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。