技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: delegation

英文目录

Independently authored prompt templates for AI coding agents — system prompts, tool prompts, agent delegation, memory management, and multi-agent coordination. Informed by studying Claude Code.

1.1K
Stars
83/100
信任
分类: agent-frameworks审计

23 Claude Code plugins: TDD enforcement hooks, git/PR workflows, spec-driven development, code review, project lifecycle, fix-from-error, maintenance automation, context optimization, research, and multi-LLM delegation. 186 skills, 128 commands, 54 agents.

309
Stars
70/100
信任
分类: development审计

A collection of reusable CLI tool skills for AI coding assistants like Claude Code, Codex, and Gemini CLI, covering search, thinking, code understanding, and task delegation.

64
Stars
66/100
信任
分类: coding-agents审计

A collection of reusable agent skills for Pulumi workflows, including migrations from Terraform, CDK, and CloudFormation, packaged for AI coding assistants.

63
Stars
68/100
信任
分类: coding-agents审计

A cross-LLM Agent Skill that routes tasks to multiple coding backends like Codex, Claude Code, Gemini, and others from compatible agent runtimes.

76
Stars
69/100
信任
分类: coding-agents审计

A Claude skill for structured financial market intelligence using first principles and system thinking.

52
Stars
71/100
信任
分类: finance-quant审计

Universal SKILL.md catalog for research workflows: literature review, research design, project memory, manuscript writing, and cross-agent delegation for Claude Code, Codex, Gemini, Cursor, OpenClaw, and generic AI clients.

174
Stars
71/100
信任
分类: research审计

Collection of reusable AI agent skills for code review, planning, research, and automation tasks.

37
Stars
69/100
信任
分类: coding-agents审计

A no-code 3D playground to explore, design, and interact with Agentic AI systems

420
Stars
64/100
信任
分类: agent-frameworks审计

10 Fable 5-native agent skills — Works with Claude Code, Cursor, Copilot

13
Stars
62/100
信任
分类: utility审计

20-interface AI agent framework with 3-layer architecture, multi-agent delegation, and self-evolution.

102
Stars
66/100
信任
分类: agent-frameworks审计