$ skills --list
Parcourir et découvrir les skills d'agents IA
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Parcourir et découvrir les skills d'agents IA
Showing 43281-43300 of 44357 skills
Identify and eliminate bias, stereotypes, and non-inclusive language; ensure cultural responsiveness and equity throughout curriculum materials. Use when checking for bias, reviewing inclusivity, or ensuring equitable content. Activates on "check for bias", "review inclusivity", "cultural responsiveness", or "equity check".
Official Anthropic SDK for Claude AI with chat, streaming, function calling, and vision capabilities
Agent coordination, orchestration, and multi-agent workflow management scripts
Authorization patterns including RBAC and ABAC. Use when implementing access control.
Syncs calculations documentation and JSDoc with actual behavior. Use after non-trivial changes to calculation modules.
数据迁移/系统迁移规划助手，提供数据库迁移、系统架构迁移、云服务迁移的完整规划方案，包括风险评估、回滚策略与执行计划。
Use when deploying applications, choosing deployment platforms, or troubleshooting deployment issues - routes to platform-specific skills (Vercel, Fly.io, Cloudflare)
Comprehensive vault diagnostics and health report. Triggers when user mentions "vault health", "health report", "vault diagnostics".
Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack to identify source of invalid data
Complete knowledge domain for Cloudflare Queues - flexible message queue for asynchronous processingand background tasks on Cloudflare Workers.Use when: creating message queues, async processing, background jobs, batch processing, handling retries,configuring dead letter queues, implementing consumer concurrency, or encountering "queue timeout","batch retry", "message lost", "throughput exceeded", "consumer not scaling" errors.Keywords: cloudflare queues, queues workers, message queue, queue bindings, async processing,background jobs, queue consumer, queue producer, batch processing, dead letter queue, dlq,message retry, queue ack, consumer concurrency, queue backlog, wrangler queues
High-performance semantic search and document parsing toolkit. Use PROACTIVELY for searching across documentation, YAML manifests, configuration files, or any text where semantic understanding is needed. Particularly effective when exploring unfamiliar codebases, finding conceptually related content, or when exact keywords don't match the desired information.
Generate a new package registry adapter for the worker service. Creates schema, client, mapper, and index files following the npm adapter pattern. Use when adding support for a new package registry (jsr, brew, apt, etc.).
Reusable UI component design and implementation methodology.Integrates design tokens, accessibility (a11y via W3C APG), and semantic HTML.Reference for building accessible, theme-compliant React components.
Standardized output format for code reviews with severity labels, file:line references, and fix code snippets. Use when generating review reports that need consistent, actionable feedback structure.
Elasticsearch and OpenSearch skill for full-text search, aggregations, and index management. Activated when users need to search, query, or analyze data in Elasticsearch/OpenSearch clusters.
Firestore 데이터 모델링과 스키마 설계 패턴을 적용합니다. 새 컬렉션 추가, 관계 설계, 인덱스 최적화, 데이터 마이그레이션 시 사용하세요. NoSQL 특성에 맞는 비정규화 전략을 포함합니다.
Stack prompts in queue while agent runs, minimizing context switches to achieve sustained 6k lines per day output and preserved flow state. Use for heavy coding sessions, iterative refinements, rapid iteration cycles, or sustained productivity. Queue enables async execution without blocking. Triggers on "flow state", "queue prompts", "heavy coding", "sustained output", "minimize interruptions".
Real-time performance metrics collection, bottleneck detection, SLA monitoring, anomaly detection, and resource tracking. Use for continuous system monitoring, performance dashboards, and proactive issue detection.
A learning methodology skill based on Dr. Justin Sung's PACER system for effective information retention and application. Use when helping users (1) learn new material efficiently, (2) take notes or summarize content, (3) create study plans, (4) review or memorize information, (5) understand how to retain knowledge better, or (6) process educational content like books, lectures, courses, or articles.
Interactive prompt builder for creating high-quality deep research prompts through adaptive interviewing. Use when users need to transform a basic research topic into a comprehensive, well-structured research prompt optimized for deep analysis. Helps build research prompts from vague ideas, enhance existing questions with best practices, and create structured prompts for any domain including product comparisons, technical documentation, academic literature, and market analysis.