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Found 5,849 Skills
Creates structured change proposals with specification deltas for new features, breaking changes, or architecture updates. Use when planning features, creating proposals, speccing changes, introducing new capabilities, or starting development workflows. Triggers include "openspec proposal", "create proposal", "plan change", "spec feature", "new capability", "add feature planning", "design spec".
Guide PMs through MITRE's Problem Framing Canvas with structured questions across Look Inward, Look Outward, and Reframe to produce a clear, bias-resistant problem statement.
Creates, updates, and manages Agent Skills following the Claude Code style. Use this skill when the user wants to add a new capability, create a new skill, or modify an existing skill.
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions, multi-stakeholder problems, or high-complexity troubleshooting requiring expert-level judgment and sophisticated reasoning chains. Prioritizes actively maintained repositories and validates website sources for 2025 relevance.
This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable. Trigger on "clarify requirements", "refine requirements", "요구사항 명확히", "요구사항 정리", "뭘 원하는 건지", "make this clearer", "spec this out", "scope this", "/clarify". Turns vague inputs into concrete specs. For strategy blind spots use unknown; for content-vs-form reframing use metamedium.
Query and retrieve AI-predicted protein structures from DeepMind's AlphaFold database. Fetch structures via UniProt accession, interpret pLDDT/PAE confidence scores, and access bulk proteome data for structural biology workflows.
Foundation skill for autonomous protein engineering via the Amina CLI. Use at session start or after conversation compacting when working with AminoAnalytica's Amina CLI or when you need help using the Amina CLI to do protein engineering tasks like: protein design, structure prediction, binder design, docking, molecular dynamics, enzyme engineering, or any mention of Amina/amina-cli.
Integrate Apple Pay payments and Wallet passes using PassKit. Use when adding Apple Pay buttons, creating payment requests, handling payment authorization, adding passes to Wallet, configuring merchant capabilities, managing shipping and contact fields, or working with PKPaymentRequest, PKPaymentAuthorizationController, PKPaymentButton, PKPass, PKAddPassesViewController, PKPassLibrary, or Apple Pay checkout flows.
Implement, review, or improve CloudKit and iCloud sync in iOS/macOS apps. Use when working with CKContainer, CKRecord, CKQuery, CKSubscription, CKSyncEngine, CKShare, NSUbiquitousKeyValueStore, or iCloud Drive file coordination; when syncing SwiftData models via ModelConfiguration with cloudKitDatabase; when handling CKError codes for conflict resolution, network failures, or quota limits; or when checking iCloud account status before performing sync operations.
Arquitecto de soluciones digitales basadas en IA. Dos modos: (1) ANALIZAR repositorios o código existente y explicar su arquitectura para cualquier audiencia, incluyendo personas sin conocimiento técnico. (2) DISEÑAR la arquitectura completa de sistemas nuevos que usan LLMs, RAG, agentes o fine-tuning. Usa este skill cuando el usuario mencione: arquitectura de IA, diseño de sistema con LLM, capas arquitectónicas, RAG architecture, tech stack para IA, vector database, diagrama de arquitectura, componentes del sistema, embedding, retrieval, pipeline de datos, MLOps, LLMOps, evaluar enfoques, RAG vs fine-tuning, diseñar solución de inteligencia artificial, explicar repositorio, explicar código, analizar proyecto, qué hace este repo, cómo funciona este sistema, explícame este proyecto, o cualquier variación de "qué componentes necesito" o "explícame cómo funciona esto". Actívalo cuando el usuario pegue código, README, estructura de archivos, o mencione un repositorio de GitHub para analizar. También cuando quiera diseñar arquitectura nueva.
Automated content production pipeline: hot topic aggregation from 10+ platforms (Bilibili, GitHub, Reddit, YouTube, Weibo, Zhihu, etc.), AI-powered topic scoring, multi-platform content generation (Xiaohongshu, WeChat, Twitter), draft review, and auto-publishing. Use when: user wants daily content pipeline, hot topic collection, content generation, article publishing, or content factory automation.
Longbridge Developers platform expert. Use when: (1) querying market data or executing trades via CLI (`longbridge` command), (2) writing Python/Rust programs using the `longbridge` SDK, (3) configuring the Longbridge MCP server for AI tools (Cursor, Claude Code, ChatGPT), (4) integrating Longbridge docs into LLM/RAG systems via llms.txt or Markdown API. Covers all markets: HK, US, CN (SH/SZ), SG, Crypto. Triggers on `longbridge` imports, stock symbols (TSLA.US, 700.HK), API key setup, order placement, WebSocket subscriptions, or any Longbridge platform capability question.