--- title: "academic-research-skills vs prompt-master" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/imbad0202-academic-research-skills-vs-nidhinjs-prompt-master" tools: ["imbad0202-academic-research-skills", "nidhinjs-prompt-master"] --- # academic-research-skills vs prompt-master *GraphCanon updated Jul 11, 2026* ## Verdict Pick academic-research-skills when license: academic-research-skills is Other, prompt-master is MIT; pick prompt-master when license: prompt-master is MIT, academic-research-skills is Other. [academic-research-skills](https://buymeacoffee.com/crucify020v) reports 37k GitHub stars, 3.0k forks, and 9 open issues, last pushed Jul 11, 2026. [prompt-master](https://github.com/nidhinjs/prompt-master) has 10k stars, 1.2k forks, and 19 open issues, last pushed Jun 10, 2026. Figures are from public GitHub metadata via [academic-research-skills's repository](https://github.com/Imbad0202/academic-research-skills) and [prompt-master's repository](https://github.com/nidhinjs/prompt-master). | | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | [prompt-master](/tools/nidhinjs-prompt-master.md) | | --- | --- | --- | | Tagline | Academic Research Skills for Claude Code: research → write → review → revise → finalize | A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention | | Stars | 37,300 | 10,398 | | Forks | 3,043 | 1,236 | | Open issues | 9 | 19 | | Language | Python | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | LLM Frameworks, Data & Retrieval | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) | [prompt-master](/tools/nidhinjs-prompt-master.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 30d | | Open issues (now) | 9 | 19 | | Full report | [trust report](/tools/imbad0202-academic-research-skills/trust.md) | [trust report](/tools/nidhinjs-prompt-master/trust.md) | ## Choose when ### Choose academic-research-skills if… - License: academic-research-skills is Other, prompt-master is MIT. - Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude. - Also covers Data & Retrieval. ### Choose prompt-master if… - License: prompt-master is MIT, academic-research-skills is Other. - Tags unique to prompt-master: claude-ai, claude-skills, llm. ## When NOT to use academic-research-skills - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ## 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. ## Common questions ### What is the difference between academic-research-skills and prompt-master? academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize. prompt-master: A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention. See the comparison table for live GitHub stats and shared categories. ### When should I choose academic-research-skills over prompt-master? Choose academic-research-skills over prompt-master when License: academic-research-skills is Other, prompt-master is MIT; Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude; Also covers Data & Retrieval. ### When should I choose prompt-master over academic-research-skills? Choose prompt-master over academic-research-skills when License: prompt-master is MIT, academic-research-skills is Other; Tags unique to prompt-master: claude-ai, claude-skills, llm. ### When should I avoid academic-research-skills? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. ### 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. ### Is academic-research-skills or prompt-master more popular on GitHub? academic-research-skills has more GitHub stars (37,300 vs 10,398). Stars measure visibility, not whether either tool fits your constraints. ### Are academic-research-skills and prompt-master open source? Yes - both are open-source projects on GitHub (academic-research-skills: Other, prompt-master: MIT). ### Where can I find alternatives to academic-research-skills or prompt-master? GraphCanon lists graph-backed alternatives at [academic-research-skills alternatives](/tools/imbad0202-academic-research-skills/alternatives) and [prompt-master alternatives](/tools/nidhinjs-prompt-master/alternatives) ([academic-research-skills markdown twin](/tools/imbad0202-academic-research-skills/alternatives.md), [prompt-master markdown twin](/tools/nidhinjs-prompt-master/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/imbad0202-academic-research-skills-vs-nidhinjs-prompt-master.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, academic-research-skills or prompt-master? academic-research-skills: Very active. prompt-master: Steady. 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 academic-research-skills and prompt-master? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [academic-research-skills trust report](/tools/imbad0202-academic-research-skills/trust); [prompt-master trust report](/tools/nidhinjs-prompt-master/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=imbad0202-academic-research-skills`](/api/graphcanon/graph?tool=imbad0202-academic-research-skills) - 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/_