Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
research-grants
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
research-grants
Best first install candidate based on install readiness and adoption.
Freshest repo
research-grants
Most recent maintenance signal among this shortlist.
| Signal | research-grants Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. |
|---|---|
| Quality | 83/100 Strong |
| Decision verdict | 94/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 3.7K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 2, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described. · No OpenAgentSkill engagement data yet |
Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
research-grants
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
research-grants
Best first install candidate based on install readiness and adoption.
Freshest repo
research-grants
Most recent maintenance signal among this shortlist.
| Signal | research-grants Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements. |
|---|---|
| Quality | 83/100 Strong |
| Decision verdict | 94/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 3.7K stars Verified outcomes are shown on each skill page |
| Freshness | Sep 2, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | The skill references an external script (scripts/generate_schematic.py) that is not included in the skill directory; ensure it is available or rely on the scientific-schematics skill as described. · No OpenAgentSkill engagement data yet |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants |
| Best for | RAG and knowledge workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants |