using-systems-thinking
Router for systems thinking methodology - patterns, leverage points, archetypes, stocks-flows, causal loops, BOT graphs
发现 数据与 AI 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Router for systems thinking methodology - patterns, leverage points, archetypes, stocks-flows, causal loops, BOT graphs
For data
Router to training optimization skills based on symptoms and training problems
Use when facing complex engineering challenges that require systematic methodology - horrible bugs, safe refactoring, code review, production incidents, technical debt decisions, or building confidence in unfam...
Routes to appropriate deep-RL skills based on problem type and algorithm family
Use when you have architecture documentation from system-archaeologist and need critical assessment, refactoring recommendations, or improvement prioritization - routes to appropriate architect specialist skill...
LLM specialist router to prompt engineering, fine-tuning, RAG, evaluation, and safety skills.
Router for simulation math - ODEs, state-space, stability, control, numerics, chaos, stochastic
Route to the right UX skill based on your task and platform context
Routes to appropriate Python specialist skill based on symptoms and problem type
The architecture selection router for CNNs, Transformers, RNNs, GANs, GNNs by data modality and constraints
Mandatory protocol for all SME (Subject Matter Expert) agents. Defines fact-finding requirements, output contracts, confidence/risk assessment, and qualification of advice.
Use when user asks about E2E testing, performance testing, chaos engineering, test automation, flaky tests, test data management, or quality practices - routes to specialist reference sheets with deep expertise...
Customize the retail agent for different use cases. Use when adapting for different business types, industries, or output formats, or when modifying prompts, adding verticals, or changing the analysis focus.
Troubleshoot ADK errors and issues. Use when encountering API errors, model overloaded errors, state issues, tool failures, authentication problems, or unexpected agent behavior.
Learn ADK concepts and understand the retail agent pipeline. Use when asking how the agent works, what ADK is, wanting to understand the architecture, state flow, or individual agent purposes.
Guide for creating custom ADK tools. Use when adding new function tools, working with ToolContext, saving artifacts, or integrating external APIs into the agent pipeline.
Guide for adding new agents to the ADK pipeline. Use when creating a new LlmAgent, SequentialAgent, or ParallelAgent, or when extending the pipeline with additional processing stages.
Persistent memory system for AI agents running on Cloudflare's edge network. Use this skill to remember context across conversations, recall relevant information, and build long-term knowledge. Activate when yo...
Complete Playwright test authoring workflow with Verdex MCP tools. Three phases - explore apps interactively to map user journeys, build stable role-first selectors via progressive DOM exploration, write idioma...
Write technical Q&A responses as markdown files to Claude Overflow. Use for programming questions, code explanations, debugging help, API usage. The response becomes a permanent archived answer viewable in a we...
Automates reading, searching, drafting, and sending emails AND calendar events in Classic Outlook on Windows using local COM automation. Use this skill when the user asks to process Outlook emails, create draft...
Frontend development skill for Quest Keeper AI Tauri application. Use when working on React components, Zustand stores, Three.js battlemaps, TailwindCSS styling, or Tauri shell integration. Triggers on mentions...
Test-Driven Development combined with emergent playtesting for Quest Keeper AI. Use when running playtest sessions, writing tests, debugging game feel issues, or following the RED-GREEN-REFACTOR cycle.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。