--- title: "prompt-master vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nidhinjs-prompt-master-vs-sindresorhus-awesome" tools: ["nidhinjs-prompt-master", "sindresorhus-awesome"] --- # prompt-master vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick prompt-master when license: prompt-master is MIT, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, prompt-master is MIT. [prompt-master](https://github.com/nidhinjs/prompt-master) reports 10k GitHub stars, 1.2k forks, and 19 open issues, last pushed Jun 10, 2026. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [prompt-master's repository](https://github.com/nidhinjs/prompt-master) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [prompt-master](/tools/nidhinjs-prompt-master.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention | 😎 Curated list of awesome topics including hardware resources | | Stars | 10,398 | 484,026 | | Forks | 1,236 | 35,799 | | Open issues | 19 | 92 | | Language | - | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompt-master](/tools/nidhinjs-prompt-master.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 30d | 11d | | Open issues (now) | 19 | 92 | | Full report | [trust report](/tools/nidhinjs-prompt-master/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose prompt-master if… - License: prompt-master is MIT, awesome is CC0-1.0. - Tags unique to prompt-master: claude-ai, claude-skills, llm, prompt-engineering. - Leaner open-issue backlog (19). ### Choose awesome if… - License: awesome is CC0-1.0, prompt-master is MIT. - Tags unique to awesome: awesome-list, resources. - More GitHub stars (484k vs 10k) - visibility, not fit. ## When NOT to use prompt-master - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use awesome - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between prompt-master and awesome? prompt-master: A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompt-master over awesome? Choose prompt-master over awesome when License: prompt-master is MIT, awesome is CC0-1.0; Tags unique to prompt-master: claude-ai, claude-skills, llm, prompt-engineering; Leaner open-issue backlog (19). ### When should I choose awesome over prompt-master? Choose awesome over prompt-master when License: awesome is CC0-1.0, prompt-master is MIT; Tags unique to awesome: awesome-list, resources; More GitHub stars (484k vs 10k) - visibility, not fit. ### When should I avoid prompt-master? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid awesome? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is prompt-master or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 10,398). Stars measure visibility, not whether either tool fits your constraints. ### Are prompt-master and awesome open source? Yes - both are open-source projects on GitHub (prompt-master: MIT, awesome: CC0-1.0). ### Where can I find alternatives to prompt-master or awesome? GraphCanon lists graph-backed alternatives at [prompt-master alternatives](/tools/nidhinjs-prompt-master/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([prompt-master markdown twin](/tools/nidhinjs-prompt-master/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/nidhinjs-prompt-master-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompt-master or awesome? prompt-master: Steady. awesome: Active. 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-master and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompt-master trust report](/tools/nidhinjs-prompt-master/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nidhinjs-prompt-master`](/api/graphcanon/graph?tool=nidhinjs-prompt-master) - 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/_