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查看技能说明Prompt Engineering Guide
dair-ai
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
OPENAGENTSKILL / DIRECTORY
为下一项任务找到合适的技能。探索适用于 Codex、Claude Code、Cursor 等 Agent 的工具。
18 Skills
搜索结果: 18
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查看技能说明dair-ai
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
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查看技能说明stas00
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查看技能说明walkinglabs
Harness engineering beginner tutorial, from 0 to 1
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查看技能说明walkinglabs
🛠️ Awesome tools & guides for harness engineering.
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查看技能说明🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…
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查看技能说明NirDiamant
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
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查看技能说明volcengine
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
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查看技能说明langfuse
Agent Skills for Langfuse, the open source LLM engineering platform for tracing, prompt management, and evaluation
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查看技能说明Integuru-AI
The first AI agent that builds permissionless integrations through reverse engineering platforms' internal APIs.
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查看技能说明langchain-ai
The agent engineering platform.
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查看技能说明langfuse
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK,…
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查看技能说明DataTalksClub
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AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.
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Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest re…
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查看技能说明openlit
Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Inte…
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查看技能说明EgoAlpha
Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.