All Agent Skills
41,263 results
- Accessibilityaffaan-mWCAG 2.2 レベル AA 標準を用いてインクルーシブなデジタルプロダクトを設計・実装・監査します。Web 用のセマンティック ARIA および Web・ネイティブプラットフォーム（iOS/Android）のアクセシビリティトレイトを生成するために使用します。
- Accessibilityaffaan-mDesign, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels, accessibility traits and hints, focus management, contrast, target size, and screen-reader support. Use when building or auditing UI for accessibility compliance, keyboard navigation, or screen-reader support.
- Agent Architecture Auditaffaan-mFull-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature.
- Agent Evalaffaan-mHead-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.
- Agent Evalaffaan-mカスタムタスクでコーディングエージェント（Claude Code、Aider、Codex など）をヘッドツーヘッドで比較し、合格率、コスト、時間、一貫性のメトリクスを測定します
- Agent Evalaffaan-mHead-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.
- Agent Harness Constructionaffaan-m设计和优化AI代理的动作空间、工具定义和观察格式，以提高完成率。
- Agent Harness Constructionaffaan-mAI エージェントのアクション空間、ツール定義、観測フォーマットを設計・最適化して完了率を向上させます。
- Agent Harness Constructionaffaan-mDesign and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent's tool set, action space, or observation format.
- Agent Introspection Debuggingaffaan-mStructured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
- Agent Introspection Debuggingaffaan-m针对AI代理故障的结构化自调试工作流程，包括捕获、诊断、受限恢复和内省报告。
- Agent Introspection Debuggingaffaan-mキャプチャ、診断、封じ込め回復、内省レポートを使用した AI エージェント障害のための構造化された自己デバッグワークフロー。
- Agent Introspection Debuggingaffaan-mStructured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.
- Agent Payment X402affaan-mAdd x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk, X Layer through OKX Payments / OKX Agent Payments Protocol, and Solana plus multi-network EVM through the upstream x402 packages with facilitator-based settlement.
- Agent Payment X402affaan-m将 x402 支付执行添加到 AI 代理中，具备每任务预算、支出控制和非托管钱包。通过 agentwallet-sdk 支持 Base，通过 OKX Payments / OKX 代理支付协议支持 X Layer，并通过上游 x402 包与基于结算器的结算支持 Solana 及多网络 EVM。
- Agent Payment X402affaan-mタスクごとのバジェット、支出コントロール、ノンカストディアルウォレットを備えた x402 決済実行を AI エージェントに追加します。agentwallet-sdk を通じて Base を、OKX Payments / OKX エージェント決済プロトコルを通じて X Layer を、アップストリームの x402 パッケージとファシリテーターベースの決済を通じて Solana とマルチネットワーク EVM をサポートします。
- Agent Runtime Gateway Smoke Testaffaan-mVerify a local agent API, temporary gateway tunnel, and remote sandbox callback with a tool-free task, then restore the original app connection.
- Agent Security Hardeningaffaan-mSecurity hardening guidance for AI agent frameworks that process untrusted content, invoke tools, write workspace files, manage runtime identifiers, or handle credentials. Use when building or reviewing an agent runtime, autonomous worker, tool gateway, memory service, or multi-tenant agent deployment. Do not use for general web application security or offensive testing.
- Agent Self Evaluationaffaan-mUse after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.
- Agent Self Evaluationaffaan-mUse after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.
- Agent Sortaffaan-mBuild an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.
- Agent Sortaffaan-m通过将技能、命令、规则、钩子和额外内容并行进行仓库感知审查，为特定仓库构建基于证据的 ECC 安装计划，将其分为 DAILY 和 LIBRARY 两类。当 ECC 应精简为项目实际所需而非加载完整包时使用。
- Agent Sortaffaan-m並行リポジトリ対応のレビューパスを使用して、スキル、コマンド、ルール、フック、エクストラを DAILY と LIBRARY のバケットに分類することで、特定のリポジトリ向けのエビデンスに基づいた ECC インストール計画を構築します。プロジェクトが完全なバンドルをロードする代わりに実際に必要なものに ECC をトリミングする必要がある場合に使用します。
- Agent Sortaffaan-mBuild an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.