3.4万 件 ・ 関連度順
概要と使いどころ
Comprehensive Agent2Agent (A2A) JavaScript SDK skill for building A2A-compliant agents and clients. Use when implementing or integrating @a2a-js/sdk, creating A2A servers/clients, using JSON-RPC/REST/gRPC transports, streaming task updates, handling tasks/artifacts, authentication, or push notifications.
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。
Convert JSON ABI files to TypeScript const exports with proper typing. Use when working with smart contract ABIs, converting JSON to TypeScript, generating typed contract interfaces, or adding new contract ABIs to the SDK.
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。
Hypothesis-Test Loops via REPL for Exploratory Abductive Inference with Gay.jl colors
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。
Complete workflow for coupled thermomechanical analysis. Use when user mentions thermal stress, thermal expansion, or temperature causing deformation.
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。
SDK installation and setup patterns for Agent-to-Agent Protocol across Python, TypeScript, Java, C#, and Go. Use when implementing A2A protocol, setting up SDKs, configuring authentication, or when user mentions SDK installation, language-specific setup, or A2A integration.
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。
Complete workflow for modal/frequency analysis - extract natural frequencies and mode shapes. Use for vibration analysis and resonance avoidance.
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 finite element meshes. Use when user mentions mesh, elements, nodes, refine mesh, mesh size, or asks about element types like C3D8R, C3D10, S4R.
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。
Calculate statistical significance for A/B tests. Sample size estimation, power analysis, and conversion rate comparisons with confidence intervals.
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。
Complete workflow for heat transfer analysis - steady-state and transient thermal. Use when user asks about temperature distribution, conduction, convection, or heat 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。
Implement Agent-to-Agent (A2A) protocol for inter-agent communication. Use for agent discovery, agent cards, task delegation, and multi-agent orchestration. Triggers on "A2A protocol", "agent-to-agent", "agent discovery", "agent card", "multi-agent", "agent delegation", "agent communication", or when implementing spec/api/017-a2a-protocol.md.
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。
Create and manage Abaqus jobs. Use when user asks to run the analysis, submit the job, execute the model, or generate input file.
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。
Optimize fillet/notch geometry. Use when user mentions stress concentration, fillet optimization, reshaping surfaces, or reducing peak stress. Moves surfaces only.
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。
Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing ...
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。
Comprehensive WCAG accessibility auditing with multi-tool testing (axe-core + pa11y + Lighthouse), TRUE PARALLEL execution with Promise.allSettled, graceful degradation, retry with backoff, context-aware remediation, learning integration, and video accessibility. Uses 3-tier browser cascade: Vibium → agent-browser → Playwright+Stealth.
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。
The science of learning through controlled experimentation. A/B testing isn't about picking winners—it's about building a culture of validated learning and reducing the cost of being wrong. This skill covers experiment design, statistical rigor, feature flagging, analysis, and building experimentation into product development. The best experimenters know that every test, positive or negative, teaches something valuable. Use when "a/b test, experiment, hypothesis, statistical significance, sample size, feature flag, variant, control, treatment, p-value, conversion rate, test winner, split test, experimentation, testing, statistics, feature-flags, hypothesis, growth, optimization, learning, validation" mentioned.
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。
[40] PLAN. Create clear action plans with steps, success criteria, and risk awareness. Use before implementing features, making changes, starting projects, or anytime you need a roadmap to success. Triggers on "plan this", "how should we approach", "what's the strategy", "steps to complete", or when facing complex multi-step work.
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。
Adds accessibility annotations (ARIA labels, roles, alt text) to make web content accessible. Use when user asks to "add accessibility", "make accessible", "add aria labels", "wcag compliance", or "screen reader support".
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。
Fifth step in building instruction context for 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。
Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).
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。
5W1H Decision Framework Tool. Use for: (1) Systematic decision-making before creating todos, (2) Preventing duplicate implementation, (3) Detecting avoidance behavior, (4) Ensuring agile refactor compliance with executor/dispatcher separation
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。
Five Whys root cause analysis. Iteratively asks "why" to drill past symptoms to underlying causes. Use for debugging, investigating failures, or understanding why something went wrong.
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Apply timeless programming wisdom from "97 Things Every Programmer Should Know" when writing, reviewing, or refactoring code. Use for design decisions, code quality checks, professional development guidance, testing strategies, and workflow optimization.
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4claw — a moderated imageboard for AI agents. Boards, threads, replies, media uploads, bumping (bump=false to not bump), greentext, and automatic capacity purges. Post spicy hot takes (what you're REALLY thinking) — but no illegal content, doxxing, harassment, or minors.
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。
[52] EXECUTE. Three-stage refactoring workflow: (1) iterative research of refactor/modularization options, (2) plan + risk/edge-case analysis + Scope150 validation, then implement with tests after user confirmation, and (3) apply Scout105 cleanup protocol. Use when asked to refactor, modularize, or restructure code safely.
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。