agentica-sdk
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
发现 tools 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。
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
AI-powered web search, research, and reasoning via Perplexity
Goal-based workflow orchestration - routes tasks to specialist agents based on user goals
Agent Orchestration Rules
Meta-skill for creating and managing Claude Code skills
Guide for integrating Agentica SDK with Claude Code CLI proxy
Deterministic router for math cognitive stack - maps user intent to exact CLI commands
Unified math capabilities - computation, solving, and explanation. I route to the right tool.
Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)
Parallel Agent Orchestration
Transform session learnings into permanent capabilities (skills, rules, agents). Use when asked to "improve setup", "learn from sessions", "compound learnings", or "what patterns should become skills".
Create and use Claude Code slash commands - quick prompts, bash execution, file references
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
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。