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Found 1,573 Skills
Expert in designing, optimizing, and evaluating prompts for Large Language Models. Specializes in Chain-of-Thought, ReAct, few-shot learning, and production prompt management. Use when crafting prompts, optimizing LLM outputs, or building prompt systems. Triggers include "prompt engineering", "prompt optimization", "chain of thought", "few-shot", "prompt template", "LLM prompting".
Design and build websites using AI coding agents with static site generators. Covers Astro-first workflow, iterative visual refinement via browser feedback, skill-enhanced prompting (frontend-design, copywriting), animations, and high-bar polish loops. Use when building a website with an AI agent, designing landing pages, or iterating on web design with LLM assistance.
Integrate TheSys C1 Generative UI API to stream interactive React components (forms, charts, tables) from LLM responses. Supports Vite+React, Next.js, and Cloudflare Workers with OpenAI, Anthropic Claude, and Workers AI. Use when building conversational UIs, AI assistants with rich interactions, or troubleshooting empty responses, theme application failures, streaming issues, or tool calling errors.
Guide Claude through SCSA, MetaTiME, CellVote, CellMatch, GPTAnno, and weighted KNN transfer workflows for annotating single-cell modalities.
Expert guide for the Osmedeus security automation workflow engine. Use when: (1) writing or editing YAML workflows (modules and flows), (2) running osmedeus CLI commands (scan, workflow management, installation, server), (3) configuring steps, runners, triggers, or template variables, (4) debugging workflow execution issues, (5) building security scanning pipelines, (6) working with agent/LLM step types, or (7) any question about osmedeus features, architecture, or best practices.
Essential CloudBase (TCB, Tencent CloudBase, 云开发, 微信云开发) development guidelines. MUST read when working with CloudBase projects, developing web apps, mini programs, backend services, fullstack development, static deployment, cloud functions, mysql/nosql database, authentication, cloud storage, web search or AI(LLM streaming) using CloudBase platform. Great supabase alternative.
AIWorkflowOrchestratorの正本仕様を `references/` から検索・参照・更新するスキル。 resource-map / quick-reference / topic-map / keywords を起点に、必要最小限の文書だけを段階的に読む。 用途: 要件確認、設計/API/IPC契約確認、UI/状態管理/セキュリティ判断、task-workflow・lessons-learned・未タスク同期。 特に safeInvoke timeout、settings bypass、skill lifecycle、global nav、Skill Center / Workspace / Agent / Skill Creator の導線再編を扱う。 Anchors: • Specification-Driven Development / 適用: 正本仕様同期 / 目的: 実装-仕様整合の維持 • Progressive Disclosure / 適用: resource-map起点読込 / 目的: 必要最小限参照で漏れ防止 Trigger: 仕様確認, 仕様更新, task-workflow同期, lessons-learned同期, UI仕様反映, API/IPC契約確認, セキュリティ要件確認, safeInvoke, timeout, settings bypass, skill lifecycle, Skill Center, Workspace, Agent, Skill Creator, navContract, GlobalNavStrip, MobileNavBar, SkillManagementPanel, line budget reform, spec splitting, family split, generated index sharding
Query the ExoPriors Scry API -- SQL-over-HTTPS search across 229M+ entities spanning forums, papers, social media, government records, and prediction markets. Includes cross-platform author identity resolution (actors, people, aliases), OpenAlex academic graph navigation (authors, citations, institutions, concepts), shareable artifacts, and structured agent judgements. Use when the task involves: Scry API, ExoPriors, /v1/scry/query, scry.search, scry.entities, materialized views, corpus search, epistemic infrastructure, 229M entities, lexical search, BM25, structured agent judgements, scry shares, cross-corpus analysis, who is this person, cross-platform identity, OpenAlex, citation graph, coauthor graph, academic papers, author lookup. NOT for: semantic/vector search composition or embedding algebra (use scry-vectors), LLM-based reranking (use scry-rerank), or the user's own local Postgres / non-ExoPriors data sources.
CrewAI architecture decisions and project scaffolding. Use when starting a new crewAI project, choosing between LLM.call() vs Agent.kickoff() vs Crew.kickoff() vs Flow, scaffolding with 'crewai create flow', setting up YAML config (agents.yaml, tasks.yaml), wiring @CrewBase crew.py, writing Flow main.py with @start/@listen, or using {variable} interpolation.
Apply Actor-Network Theory (Latour, Callon) to trace how human and non-human actors (actants) form networks through translation processes. Use this skill when the user needs to map sociotechnical assemblages, analyze how innovations stabilize or fail through network-building, trace the four moments of translation (problematization, interessement, enrollment, mobilization), or when they ask 'how did this technology become accepted', 'who and what holds this network together', or 'why did this innovation fail to gain traction'.
NestJS reference skill: modules, controllers, providers, DTOs with class-validator, TypeORM/Prisma, guards, interceptors, pipes, queues (BullMQ), WebSockets, microservices, testing, OpenAPI, and CLI scaffolding. Use when the task touches NestJS application code and should follow the project's module-based architecture.
Used for answering, generating, refactoring, and troubleshooting code related to wot-ui v2. Keywords: wot-ui, uni-app, Vue3, wd-, ConfigProvider, useToast, useDialog, Form, Popup, theme, llms-full. Suitable for component selection, API query, sample page generation, theme customization, and troubleshooting common pitfalls.