game-development
Game development orchestrator. Routes to platform-specific skills based on project needs.
发现 devops llm 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。
Game development orchestrator. Routes to platform-specific skills based on project needs.
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Socratic questioning protocol + user communication. MANDATORY for complex requests, new features, or unclear requirements. Includes progress reporting and error handling.
Interactive Python REPL automation with common helpers and best practices
Technical writing, README guidelines, and punctuation rules. Use when writing documentation, READMEs, technical articles, or any prose that should avoid AI-generated feel.
Debug and diagnose model errors in Pollinations services. Analyze logs, find error patterns, identify affected users. For taking action on user tiers, see tier-management skill.
Use this skill when you learn one or more design pattern(s) in the Langroid (multi) agent framework, and want to make a note for future reference for yourself. Use this either autonomously, or when asked by the...
Design patterns for the Langroid multi-agent LLM framework. Covers agent configuration, tools, task control, and integrations.
Image generation skill using Gemini Web. Generates images from text prompts via Google Gemini. Also supports text generation. Use as the image generation backend for other skills like cover-image, xhs-images, a...
Smart article illustration skill. Analyzes article content and generates illustrations at positions requiring visual aids with multiple style options. Use when user asks to "add illustrations to article", "gene...
Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing con...
Build and run LLM-powered data processing pipelines with DocETL. Use when users say "docetl", want to analyze unstructured data, process documents, extract information, or run ETL tasks on text. Helps with data...
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
Research agent for external documentation, best practices, and library APIs via MCP tools
Guide to the math cognitive stack - what tools exist and when to use each
Create and configure Claude Code sub-agents with custom prompts, tools, and models
Background Agent Pings
LLM Tuning Patterns
Spawn Agentica multi-agent patterns
Reference guide for Agentica multi-agent infrastructure APIs
Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.
Agentica server + Claude proxy setup - architecture, startup sequence, debugging
Agent Context Isolation
Semantic search across codebase using LEANN vector index
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。