Research Proposal Development
SkillDev toolsDevelop research proposals with solicitation alignment, reviewer-focused logic, evidence-bounded preliminary results, milestones, risks, and compelling figures. Use for federal, foundation, equipment, partnership, or internal research proposals.
Use Research Proposal Development in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Research Proposal Development skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/hanhuark/mechanical-engineering-research-skill/skills/research-proposal-development/SKILL.md and read by Ahel’s review.
Purpose
Turn an important research question into a reviewer-decision-ready proposal. Preserve the investigator's scientific direction and distinguish verified preliminary evidence, proposed work, assumptions, and collaborator-dependent commitments.
Route To Reference
Read references/proposal-development.md before drafting a full narrative, responding to review criteria, planning proposal figures, integrating preliminary results, or polishing a submission.
Workflow
- Extract the solicitation's scope, eligibility, deadline, budget and duration constraints, required sections, evaluation criteria, and special requirements from primary sources.
- Frame the need: high-value application or scientific barrier, current state, precise gap, reason it endures, and the proposed solution's testable advance.
- Map every aim or thrust to a hypothesis, method, measurable success criterion, risk, mitigation, deliverable, and reviewer criterion.
- Use preliminary results as evidence of feasibility, not proof of promised outcomes. Label planned partnerships, facilities, datasets, and external commitments unless confirmed.
- Make the figure plan do work: system concept, evidence of feasibility, causal mechanism, work plan, and quantitative success metrics.
Writing Rules
Each paragraph should answer one reviewer question. Avoid generic impact claims, unexplained work packages, and a list of tasks that does not produce knowledge. Explain why the team, methodology, and timeline make the proposed advance credible.
Final Review
Check factual solicitation alignment, budget/timeline consistency, references, labels on preliminary versus proposed material, and all claimed collaborator, institutional, or facility commitments. Flag requirements that require institutional review rather than inventing compliance language.
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
research-proposal-development- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins
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