--- title: "Prompt-Engineering-Guide vs skyagi" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-litanlitudan-skyagi" tools: ["dair-ai-prompt-engineering-guide", "litanlitudan-skyagi"] --- # Prompt-Engineering-Guide vs skyagi *GraphCanon updated Jul 11, 2026* ## Verdict Pick Prompt-Engineering-Guide when prompt-Engineering-Guide is primarily MDX; skyagi is TypeScript; pick skyagi when skyagi is primarily TypeScript; Prompt-Engineering-Guide is MDX. [Prompt-Engineering-Guide](https://www.promptingguide.ai/) reports 76k GitHub stars, 8.4k forks, and 274 open issues, last pushed Mar 11, 2026. [skyagi](https://skyagi.ai) has 777 stars, 56 forks, and 41 open issues, last pushed Sep 21, 2023. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [skyagi's repository](https://github.com/litanlitudan/skyagi). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [skyagi](/tools/litanlitudan-skyagi.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | SkyAGI: Emerging human-behavior simulation capability in LLM | | Stars | 76,349 | 777 | | Forks | 8,361 | 56 | | Open issues | 274 | 41 | | Language | MDX | TypeScript | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [skyagi](/tools/litanlitudan-skyagi.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 121d | 1023d | | Open issues (now) | 274 | 41 | | Owner type | Organization | User | | Full report | [trust report](/tools/dair-ai-prompt-engineering-guide/trust.md) | [trust report](/tools/litanlitudan-skyagi/trust.md) | ## Decision facts: Prompt-Engineering-Guide - **Adopt for:** Decision-critical facts for Prompt-Engineering-Guide ## Choose when ### Choose Prompt-Engineering-Guide if… - Prompt-Engineering-Guide is primarily MDX; skyagi is TypeScript. - License: Prompt-Engineering-Guide is MIT, skyagi is Apache-2.0. - Tags unique to Prompt-Engineering-Guide: llms, deep-learning, agents, generative-ai. - When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### Choose skyagi if… - skyagi is primarily TypeScript; Prompt-Engineering-Guide is MDX. - License: skyagi is Apache-2.0, Prompt-Engineering-Guide is MIT. - Tags unique to skyagi: llm, aigc, langchain, typescript. ## When NOT to use Prompt-Engineering-Guide - Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. - Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning. ## When NOT to use skyagi - Last GitHub push was 1024 days ago (dormant maintenance, Sep 21, 2023). Validate activity before betting a new project on skyagi. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## Common questions ### What is the difference between Prompt-Engineering-Guide and skyagi? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. skyagi: SkyAGI: Emerging human-behavior simulation capability in LLM. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over skyagi? Choose Prompt-Engineering-Guide over skyagi when Prompt-Engineering-Guide is primarily MDX; skyagi is TypeScript; License: Prompt-Engineering-Guide is MIT, skyagi is Apache-2.0; Tags unique to Prompt-Engineering-Guide: llms, deep-learning, agents, generative-ai; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. ### When should I choose skyagi over Prompt-Engineering-Guide? Choose skyagi over Prompt-Engineering-Guide when skyagi is primarily TypeScript; Prompt-Engineering-Guide is MDX; License: skyagi is Apache-2.0, Prompt-Engineering-Guide is MIT; Tags unique to skyagi: llm, aigc, langchain, typescript. ### When should I avoid Prompt-Engineering-Guide? Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning. ### When should I avoid skyagi? Last GitHub push was 1024 days ago (dormant maintenance, Sep 21, 2023). Validate activity before betting a new project on skyagi. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### Is Prompt-Engineering-Guide or skyagi more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 777). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and skyagi open source? Yes - both are open-source projects on GitHub (Prompt-Engineering-Guide: MIT, skyagi: Apache-2.0). ### Where can I find alternatives to Prompt-Engineering-Guide or skyagi? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [skyagi alternatives](/tools/litanlitudan-skyagi/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [skyagi markdown twin](/tools/litanlitudan-skyagi/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/dair-ai-prompt-engineering-guide-vs-litanlitudan-skyagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Prompt-Engineering-Guide or skyagi? Prompt-Engineering-Guide: Slowing. skyagi: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Prompt-Engineering-Guide and skyagi? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Prompt-Engineering-Guide trust report](/tools/dair-ai-prompt-engineering-guide/trust); [skyagi trust report](/tools/litanlitudan-skyagi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide`](/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_