Research Grants
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Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured workflow for developing research funding proposals for NSF, NIH, DOE, DARPA, and Taiwan's NSTC. It guides users through the entire grant lifecycle, from identifying requirements and outlining narratives to preparing budgets and addressing reviewer feedback. The skill emphasizes the importance of aligning proposals with agency-specific missions, review criteria, and formatting standards while maintaining investigator authorship.
What it does
- Provides templates and guidance for core proposal sections like specific aims and budget justifications.
- Maps agency-specific review criteria to proposal components for improved alignment.
- Supports the creation of compliance matrices to track requirements against draft content.
- Offers strategies for responding to reviewer comments in resubmission documents.
- Facilitates the integration of broader impacts and significance statements.
- Assists in planning project timelines and milestone tracking for technical narratives.
When to use it
- When drafting new research proposals for NSF, NIH, DOE, DARPA, or NSTC.
- When preparing for a resubmission and needing to address prior reviewer critiques.
- When developing budget justifications or personnel allocation plans.
- When performing a gap analysis between solicitation requirements and current draft materials.
- When designing broader impact activities for NSF submissions.
Advantages
- Centralizes agency-specific guidelines and review criteria for multiple major funders.
- Promotes a systematic approach to proposal development through a multi-phase workflow.
- Helps ensure technical narratives address key review factors like innovation and feasibility.
- Provides structured templates to standardize the drafting of complex proposal documents.
Usage examples
- “Extract the key requirements from this NIH R01 notice of funding opportunity.”
- The agent identifies the specific submission requirements, review factors, and budget constraints associated with the provided NIH R01 notice.
- “Critique my draft specific aims page against the NSF intellectual merit criteria.”
- The agent evaluates the draft against NSF intellectual merit standards and provides feedback on clarity, alignment, and potential gaps.
- “Help me map these reviewer comments from my previous submission to a revision plan.”
- The agent organizes the reviewer feedback into a structured plan to guide the revision of the proposal for a resubmission.
- “Create a budget justification structure for a DOE proposal.”
- The agent generates a template for the budget justification that aligns with DOE-specific requirements and categories.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/k-dense-ai/research-grants/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip research-grants.zip -d .agents/skills
Documentation by K-Dense Inc.
Research Grant Writing
Overview
Research grant writing is the process of developing competitive funding proposals for federal agencies and foundations. Master agency-specific requirements, review criteria, narrative structure, budget preparation, and compliance for NSF (National Science Foundation), NIH (National Institutes of Health), DOE (Department of Energy), DARPA (Defense Advanced Research Projects Agency), and Taiwan's NSTC (National Science and Technology Council) submissions.
Critical Principle: Grants are persuasive documents that must simultaneously demonstrate scientific rigor, innovation, feasibility, and broader impact. Each agency has distinct priorities, review criteria, formatting requirements, and strategic goals that must be addressed.
When to Use This Skill
This skill should be used when:
Writing research proposals for NSF, NIH, DOE, DARPA, or NSTC programs
Preparing project descriptions, specific aims, or technical narratives
Developing broader impacts or significance statements
Creating research timelines and milestone plans
Preparing budget justifications and personnel allocation plans
Responding to program solicitations or funding announcements
Addressing reviewer comments in resubmissions
Planning multi-institutional collaborative proposals
Writing preliminary data or feasibility sections
Preparing biosketches, CVs, or facilities descriptions
Establish the governing opportunity first
For each task, record agency, opportunity identifier and amendment, activity/project type, due date/time zone, eligibility, submission stage, application form version, limits, required attachments, review criteria and source URL/retrieval date. Check current notices as well as the original solicitation. An archived call, funded award, or budget announcement does not establish live funding availability. If the official package is unavailable, provide a bounded drafting review and list unresolved rules.
Build a requirement -> source section -> draft location -> gap matrix before judging
compliance. Templates in assets/ are illustrative worksheets, not official forms.
Never invent data, citations, investigator records, partner commitments or approvals.
Inspect the final exported files; Markdown text does not establish page compliance.
For NIH, use this skill for requirements, critique, consistency checks and limited editing of investigator-authored material. NIH policy excludes applications or sections substantially developed by AI. Preserve applicant ownership of substantive science and writing; review or disclosure alone does not make substantial AI authorship compliant. Apply other agencies' current rules too.
Visual Enhancement (Optional)
Strong proposals often include 1–3 figures (timelines, workflow diagrams, preliminary data). Figures support review but are not a substitute for clear aims and methods.
When figures help:
Research methodology and workflow diagrams
Project timeline or Gantt charts
Conceptual framework or system architecture (technical proposals)
Experimental design flowcharts
Broader impacts activity diagrams
NSTC CM03 research architecture diagrams when they clarify the proposed methods
How to create figures:
Preferred: Use the scientific-schematics skill (
--doc-type grant) for AI-generated diagrams from a natural-language descriptionAlternative: Build figures in your usual tools (matplotlib, Illustrator, PowerPoint, etc.)
Illustrative optional integration (CLI options checked; no paid generation tested in this refresh). Run from the repository root, with OPENROUTER_API_KEY set:
python skills/scientific-schematics/scripts/generate_schematic.py "project timeline with Year 1-3 milestones" -o figures/timeline.png --doc-type grantDisclosure: AI schematic generation sends your prompt to OpenRouter (a third-party API). Do not include unpublished sensitive details unless that transmission is appropriate for your project.
Agency-Specific Overview
NSF (National Science Foundation)
Mission: Promote the progress of science and advance national health, prosperity, and welfare
Key Features:
Use the current PAPPG index, effective supplements and solicitation; as reviewed, NSF 24-1 is supplemented by NSF 26-200 and 26-202
Intellectual Merit + Broader Impacts both receive full consideration; no universal numerical weighting
15-page project description limit (most programs; includes Results from Prior NSF Support, max 5 pages)
Education and societal benefit, with activities aligned to current NSF priorities and the solicitation
Collaborative research encouraged
Current SciENcv Common Forms, graduate/postdoc mentoring, and Research.gov DMSP tool requirements
Merit review process with panel + ad hoc reviewers
NIH (National Institutes of Health)
Mission: Enhance health, lengthen life, and reduce illness and disability
Key Features:
Standard R01: Specific Aims up to 1 page and Research Strategy up to 12; verify the NOFO
Most RPGs use Importance, Rigor/Feasibility, and Expertise/Resources review factors; required narrative headings remain Significance, Innovation, Approach
Preliminary evidence normally supports R01 feasibility; follow the mechanism-specific instructions
Rigor and reproducibility; SciENcv Common Forms and NIH Supplement required under the 2026 implementation
For eligible applications, modular budgets use $25,000 increments, up to $250,000 in direct costs per budget period, excluding consortium F&A; verify the NOFO and organization eligibility. See NIH budget guidance.
NIH permits one resubmission (A1) of an unfunded application, within 37 months of the initial application due date when the NOFO permits resubmissions; see resubmission policy.
DOE (Department of Energy)
Mission: Ensure America's security and prosperity through energy, environmental, and nuclear challenges
Key Features:
Focus on energy, climate, computational science, basic energy sciences
Cost sharing and partnerships depend on the specific office, NOFO, and award instrument
Emphasis on national laboratory collaboration
Strong computational and experimental integration
Energy innovation and commercialization pathways
Distinguish SC, ARPA-E and current applied-energy offices; legacy EERE Exchange now identifies CMEI eXCHANGE
DARPA (Defense Advanced Research Projects Agency)
Mission: Make pivotal investments in breakthrough technologies for national security
Key Features:
High-risk, high-reward transformative research
Focus on "DARPA-hard" problems (what if true, who cares)
Emphasis on prototypes, demonstrations, and transition paths
Often requires multiple phases (feasibility, development, demonstration)
Strong project management and milestone tracking
Teaming and collaboration often required
Varies dramatically by program manager and BAA (Broad Agency Announcement)
NSTC (National Science and Technology Council - Taiwan)
Mission: Advance scientific breakthrough, industrial application, and societal impact in Taiwan.
Key Features:
CM03 Form: The core technical proposal format.
Forms: Use the current call and division forms for Chinese/English abstracts and CM03.
Innovation & Feasibility: Primary review focus.
Preliminary Data: Highly critical for credibility.
Research Architecture Diagram: Useful where appropriate; not a verified universal requirement.
Core Components of Research Proposals
Section-by-section guidance for every standard proposal component — specific aims, significance, innovation, approach, preliminary data, timeline, budget and justification, biosketch, facilities, data management and sharing, and broader impacts — with structure, length targets, and worked language, is in references/core_components.md.
Review Criteria, Writing Principles, and Proposal Types
references/review_criteria.md: how NIH, NSF, DOE, and DARPA score proposals, and what each criterion actually rewards.
references/writing_principles.md: what separates funded proposals from competent ones — framing, specificity, reviewer psychology, and readability.
references/proposal_types_and_resubmission.md: the common proposal types and how to handle a resubmission, including responding to a summary statement.
Common Mistakes to Avoid
Conceptual Mistakes
Failing to Address Review Criteria: Not explicitly discussing significance, innovation, approach, etc.
Mismatch with Agency Mission: Proposing research that doesn't align with agency goals
Unclear Significance: Failing to articulate why the research matters
Insufficient Innovation: Incremental work presented as transformative
Vague Objectives: Goals that are not specific or measurable
Writing Mistakes
Poor Organization: Lack of clear structure and flow
Excessive Jargon: Inaccessible to broader review panel
Verbosity: Unnecessarily complex or wordy writing
Missing Context: Assuming reviewers know your field deeply
Inconsistent Terminology: Using different terms for same concept
Technical Mistakes
Inadequate Methods: Insufficient detail to judge feasibility
Overly Ambitious: Too much proposed for timeline/budget
No Preliminary Data: For mechanisms requiring demonstrated feasibility
Poor Timeline: Unrealistic or poorly justified schedule
Misaligned Budget: Budget doesn't support proposed activities
Formatting Mistakes
Exceeding Page Limits: Can cause validation failure or return without review
Wrong Font or Margins: Non-compliant formatting
Missing Required Sections: Incomplete application
Poor Figure Quality: Illegible or unprofessional figures
Inconsistent Citations: Formatting errors in references
Strategic Mistakes
Wrong Program or Mechanism: Proposing to inappropriate opportunity
Weak Team: Insufficient expertise or missing key collaborators
No Broader Impacts: For NSF, failing to adequately address
Ignoring Program Priorities: Not aligning with current emphasis areas
Late Submission: Technical issues or rushed preparation
Workflow for Grant Development
The following periods are planning suggestions, not agency deadlines. Work backward from the verified sponsor and earlier institutional deadlines.
Phase 1: Planning and Preparation (2-6 months before deadline)
Activities:
Identify appropriate funding opportunities
Review program announcements and requirements
Consult with program officers (if appropriate)
Assemble team and confirm collaborations
Develop preliminary data (if needed)
Outline research plan and specific aims
Review successful proposals (if available)
Outputs:
Selected funding opportunity
Assembled team with defined roles
Preliminary outline of specific aims
Gap analysis of needed preliminary data
Phase 2: Drafting (2-3 months before deadline)
Activities:
Write specific aims or objectives (start here!)
Develop project description/research strategy
Create figures and data visualizations
Draft timeline and milestones
Prepare preliminary budget
Write broader impacts or significance sections
Request letters of support/collaboration
Outputs:
Complete first draft of narrative sections
Preliminary budget with justification
Timeline and management plan
Requested letters from collaborators
Phase 3: Internal Review (1-2 months before deadline)
Activities:
Circulate draft to co-investigators
Seek feedback from colleagues and mentors
Request institutional review (if required)
Mock review session (if possible)
Revise based on feedback
Refine budget and budget justification
Outputs:
Revised draft incorporating feedback
Refined budget aligned with revised plan
Identified weaknesses and mitigation strategies
Phase 4: Finalization (2-4 weeks before deadline)
Activities:
Final revisions to narrative
Prepare all required forms and documents
Finalize budget and budget justification
Compile biosketches, CVs, and current & pending
Collect letters of support
Prepare data management plan (if required)
Write project summary/abstract
Proofread all materials
Outputs:
Complete, polished proposal
All required supplementary documents
Formatted according to agency requirements
Phase 5: Submission (1 week before deadline)
Activities:
Institutional review and approval
Have an authorized institutional submitter upload through the opportunity-specific route
Verify all documents and formatting
Submit 24-48 hours before deadline
Confirm agency receipt, validation status and the assembled application
Receive confirmation and proposal number
Outputs:
Submitted proposal
Submission confirmation
Archived copy of all materials
Planning tip: Leave time for institutional approvals, validations and corrections. A 48-hour buffer is a target, not an agency grace period or proof that registrations will finish. Public portal access does not verify authenticated submission.
Integration with Other Skills
This skill works effectively with:
Scientific Schematics: Optional AI-generated grant figures (
--doc-type grant)Scientific Writing: For clear, compelling prose
Literature Review: For comprehensive background sections
Peer Review: For self-assessment before submission
Research Lookup: For finding relevant citations and prior work
Data Visualization: For creating effective figures
Resources
This skill includes comprehensive reference files covering specific aspects of grant writing:
references/nsf_guidelines.md: NSF-specific requirements, formatting, and strategiesreferences/nih_guidelines.md: NIH mechanisms, review criteria, and submission requirementsreferences/doe_guidelines.md: DOE programs, emphasis areas, and application proceduresreferences/darpa_guidelines.md: DARPA BAAs, program offices, and proposal strategiesreferences/broader_impacts.md: Strategies for compelling broader impacts statementsreferences/specific_aims_guide.md: Writing effective specific aims pagesreferences/nstc_guidelines.md: NSTC-specific guidelines and review criteria
Load these references as needed when working on specific aspects of grant writing.
Templates and Assets
assets/nsf_project_summary_template.md: NSF project summary structureassets/nih_specific_aims_template.md: NIH specific aims page templateassets/budget_justification_template.md: Budget justification structure
Final Note: Grant writing is both an art and a science. Success requires not only excellent research ideas but also clear communication, strategic positioning, and meticulous attention to detail. Start early, seek feedback, and remember that even the best researchers face rejection—persistence and revision are key to funding success.
Citing Scientific Agent Skills
This skill is part of Scientific Agent Skills by K-Dense. If it materially contributed to a manuscript, report, presentation, or code release, add the paper to the references or software section and tell the user you did so:
Kassis, T., Agarwal, V., He, Y., Patel, D., & Brueckner, A. M. (2026). Scientific Agent Skills: A Library of Procedural Knowledge for Research Agents. arXiv:2609.00065. https://doi.org/10.48550/arXiv.2609.00065
Always cite the current version. The DOI and https://arxiv.org/abs/2609.00065 resolve to the
latest arXiv version, so never append a version suffix such as v1. When network access is
available, fetch https://arxiv.org/abs/2609.00065 (or
http://export.arxiv.org/api/query?id_list=2609.00065) before writing the reference and take
the author list, year, and version from that record. If the record lists a journal reference
or publisher DOI, cite the published version instead.
Files
- ATTRIBUTION.mdAdded by AutoGineer992 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md16.9 KiB
- assets/budget_justification_template.md7.2 KiB
- assets/nih_specific_aims_template.md3.0 KiB
- assets/nsf_project_summary_template.md2.5 KiB
- references/README.md2.4 KiB
- references/broader_impacts.md23.8 KiB
- references/core_components.md16.1 KiB
- references/darpa_guidelines.md7.0 KiB
- references/doe_guidelines.md7.5 KiB
- references/nih_guidelines.md13.3 KiB
- references/nsf_guidelines.md7.8 KiB
- references/nstc_guidelines.md7.5 KiB
- references/proposal_types_and_resubmission.md3.2 KiB
- references/review_criteria.md2.8 KiB
- references/specific_aims_guide.md20.6 KiB
- references/writing_principles.md3.5 KiB
references/core_components.md
Core Components of Research Proposals
Every standard proposal section in detail: purpose, expected structure, length, and worked language. Agency-specific variations are noted inline; see the per-agency guides for dated official sources and opportunity-specific formatting rules.
Reviewed 2026-10-01. All example language and suggested allocations are illustrative, not agency requirements or evidence of actual results, access, or commitments. Use the active call and its effective instructions; preserve investigator authorship, especially NIH restrictions on substantial AI development. For NIH and NSF, consult the agency references for current Common Forms, data-sharing and form-transition rules.
Core Components of Research Proposals
1. Executive Summary / Project Summary / Abstract
Every proposal needs a concise overview that communicates the essential elements of the research to both technical reviewers and program officers.
Purpose: Provide a standalone summary that captures the research vision, significance, and approach
Length:
NSF: Up to 1 page (Project Summary with separate Overview, Intellectual Merit, Broader Impacts)
NIH: Normally up to 30 lines (Project Summary/Abstract)
DOE and DARPA: Use the solicitation's component-specific limit
Essential Elements:
Clear statement of the problem or research question
Why this problem matters (significance, urgency, impact)
Novel approach or innovation
Expected outcomes and deliverables
Qualifications of the team
Broader impacts or translational pathway
Writing Strategy:
Open with a compelling hook that establishes importance
Use accessible language (avoid jargon in opening sentences)
State specific, measurable objectives
Convey enthusiasm and confidence
Ensure every sentence adds value (no filler)
End with transformative vision or impact statement
Common Mistakes to Avoid:
Being too technical or detailed (save for project description)
Failing to articulate "why now" or "why this team"
Vague objectives or outcomes
Neglecting broader impacts or significance
Generic statements that could apply to any proposal
2. Project Description / Research Strategy
The core technical narrative that presents the research plan in detail.
Structure Varies by Agency:
NSF Project Description (normally up to 15 pages):
Introduction and background
Research objectives and questions
Preliminary results (if applicable)
Research plan and methodology
Timeline and milestones
Broader impacts under its own required heading; may also be integrated elsewhere
Prior NSF support (if applicable)
NIH Research Strategy (normally up to 12 pages for R01):
Significance (why the problem matters)
Innovation (what's novel and transformative)
Approach (detailed research plan)
Preliminary data
Research design and methods
Expected outcomes
Potential problems and alternative approaches
DOE Project Narrative (varies):
Background and significance
Technical approach and innovation
Qualifications and experience
Facilities and resources
Project management and timeline
DARPA Technical Volume (varies):
Technical challenge and innovation
Approach and methodology
Schedule and milestones
Deliverables and metrics
Team qualifications
Risk assessment and mitigation
For detailed agency-specific guidance, refer to:
references/nsf_guidelines.mdreferences/nih_guidelines.mdreferences/doe_guidelines.mdreferences/darpa_guidelines.mdreferences/nstc_guidelines.md
3. Specific Aims (NIH) or Objectives (NSF/DOE/DARPA)
Clear, testable goals that structure the research plan.
NIH Specific Aims Page (normally up to 1 page):
Opening paragraph: Gap in knowledge and significance
Long-term goal and immediate objectives
Central hypothesis or research question
A small set of feasible aims; no universal required aim count or sub-aim structure
Expected outcomes and impact
Payoff paragraph: Why this matters
Structure for Each Aim:
Aim statement (1-2 sentences, starts with action verb)
Rationale (why this aim, preliminary data support)
Working hypothesis (testable prediction)
Approach summary (brief methods overview)
Expected outcomes and interpretation
Writing Strategy:
Make aims independent but complementary
Ensure each aim is achievable within timeline and budget
Provide enough detail to judge feasibility
Include contingency plans or alternative approaches
Use parallel structure across aims
Clearly state what will be learned from each aim
For detailed guidance, refer to references/specific_aims_guide.md.
4. Broader Impacts (NSF) / Significance (NIH)
Articulate the societal, educational, or translational value of the research.
NSF Broader Impacts (both criteria receive full consideration; no fixed numerical weighting):
NSF explicitly evaluates broader impacts. These are illustrative activity groupings, not an official five-category checklist. Follow current NSF priorities and opportunity requirements, including participant eligibility. Possible approaches include:
Advancing discovery and understanding while promoting teaching, training, and learning
Integration of research and education
Training of students and postdocs
Curriculum development
Educational materials and resources
Expanding access to research and education
Recruitment and retention strategies
Partnerships with minority-serving institutions
Outreach to underrepresented communities
Mentoring programs
Enhancing infrastructure for research and education
Shared facilities or instrumentation
Cyberinfrastructure and data resources
Community-wide tools or databases
Open-source software or methods
Broad dissemination to enhance scientific and technological understanding
Public outreach and science communication
K-12 educational programs
Museum exhibits or media engagement
Policy briefs or stakeholder engagement
Benefits to society
Economic impact or commercialization
Health, environment, or national security benefits
Informed decision-making
Workforce development
Writing Strategy for NSF Broader Impacts:
Be specific with concrete activities, not vague statements
Provide timeline and milestones for broader impacts activities
Explain how impacts will be measured and assessed
Connect to institutional resources and existing programs
Show commitment through preliminary efforts or partnerships
Integrate with research plan (not tacked on)
NIH Significance:
Addresses important problem or critical barrier to progress
Improves scientific knowledge, technical capability, or clinical practice
Potential to lead to better outcomes, interventions, or understanding
Rigor of prior research in the field
Alignment with NIH mission and institute priorities
For detailed guidance, refer to references/broader_impacts.md.
5. Innovation and Transformative Potential
Articulate what is novel, creative, and paradigm-shifting about the research.
Innovation Elements to Highlight:
Conceptual Innovation: New frameworks, models, or theories
Methodological Innovation: Novel techniques, approaches, or technologies
Integrative Innovation: Combining disciplines or approaches in new ways
Translational Innovation: New pathways from discovery to application
Scale Innovation: Unprecedented scope or resolution
Writing Strategy:
Clearly state what is innovative (don't assume it's obvious)
Explain why current approaches are insufficient
Describe how your innovation overcomes limitations
Provide evidence that innovation is feasible (preliminary data, proof-of-concept)
Distinguish incremental from transformative advances
Balance innovation with feasibility (not too risky)
Common Mistakes:
Claiming novelty without demonstrating knowledge of prior work
Confusing "new to me" with "new to the field"
Over-promising without supporting evidence
Being too incremental (minor variation on existing work)
Being too speculative (no path to success)
6. Research Approach and Methods
Detailed description of how the research will be conducted.
Essential Components:
Overall research design and framework
Detailed methods for each aim/objective
Sample sizes, statistical power, and analysis plans
Timeline and sequence of activities
Data collection, management, and analysis
Quality control and validation approaches
Potential problems and alternative strategies
Rigor and reproducibility measures
Writing Strategy:
Provide enough detail for reproducibility and feasibility assessment
Use subheadings and figures to improve organization
Justify choice of methods and approaches
Address potential limitations proactively
Include preliminary data demonstrating feasibility
Show that you've thought through the research process
Balance detail with readability; use supplementary material only where expressly permitted, never to evade page limits
For Experimental Research:
Describe experimental design (controls, replicates, blinding)
Specify materials, reagents, and equipment
Detail data collection protocols
Explain statistical analysis plans
Address rigor and reproducibility
For Computational Research:
Describe algorithms, models, and software
Specify datasets and validation approaches
Explain computational resources required
Address code availability and documentation
Describe benchmarking and performance metrics
For Clinical or Translational Research:
Describe study population and recruitment
Detail intervention or treatment protocols
Explain outcome measures and assessments
Address regulatory approvals (IRB, IND, IDE)
Describe clinical trial design and monitoring
7. Preliminary Data and Feasibility
Demonstrate that the research is achievable and the team is capable.
Purpose:
Prove that the proposed approach can work
Show that the team has necessary expertise
Demonstrate access to required resources
Reduce perceived risk for reviewers
Provide foundation for proposed work
What to Include:
Pilot studies or proof-of-concept results
Method development or optimization
Access to unique resources (samples, data, collaborators)
Relevant publications from your team
Preliminary models or simulations
Feasibility assessments or power calculations
NIH Requirements:
Preliminary studies normally support R01 feasibility; follow the current instructions and NOFO
Standard R21 guidance does not require preliminary data; verify the chosen NOFO
New investigators may have less preliminary data
Preliminary data should directly support proposed aims
NSF Approach:
Preliminary data less commonly required than NIH
May be important for high-risk or novel approaches
Can strengthen proposal for competitive programs
Writing Strategy:
Present most compelling data that supports your approach
Clearly connect preliminary data to proposed aims
Acknowledge limitations and how proposed work will address them
Use figures and data visualizations effectively
Avoid over-interpreting or overstating preliminary findings
Show trajectory of your research program
8. Timeline, Milestones, and Management Plan
Demonstrate that the project is well-planned and achievable within the proposed timeframe.
Essential Elements:
Phased timeline with clear milestones
Logical sequence and dependencies
Realistic timeframes for each activity
Decision points and go/no-go criteria
Risk mitigation strategies
Resource allocation across time
Coordination plan for multi-institutional teams
Presentation Formats:
Gantt charts showing overlapping activities
Year-by-year breakdown of activities
Quarterly milestones and deliverables
Table of aims/tasks with timeline and personnel
Writing Strategy:
Be realistic about what can be accomplished
Build in time for unexpected delays or setbacks
Show that timeline aligns with budget and personnel
Demonstrate understanding of regulatory timelines (IRB, IACUC)
Include time for dissemination and broader impacts
Address how progress will be monitored and assessed
DARPA Emphasis:
Particularly important for DARPA proposals
Clear technical milestones with measurable metrics
Deliverables and reporting at the intervals specified in the solicitation
Phase-based structure with exit criteria
Demonstration and transition planning
9. Team Qualifications and Collaboration
Demonstrate that the team has the expertise, experience, and resources to succeed.
Essential Elements:
PI qualifications and relevant expertise
Co-I and collaborator roles and contributions
Track record in the research area
Complementary expertise across team
Institutional support and resources
Prior collaboration history (if applicable)
Mentoring and training plan (for students/postdocs)
Writing Strategy:
Highlight most relevant publications and accomplishments
Clearly define roles and responsibilities
Show that team composition is necessary (not just convenient)
Demonstrate successful prior collaborations
Address how team will be managed and coordinated
Explain institutional commitment and support
Biosketches / CVs:
Follow agency-specific formats (NSF, NIH, DOE, DARPA differ)
Highlight most relevant publications and accomplishments
Put synergistic activities and collaboration disclosures in the required separate form/section, not automatically inside a biosketch
Show trajectory and productivity
Address any career gaps or interruptions
Letters of Collaboration:
Specific commitments and contributions
Demonstrates genuine partnership
Includes resource sharing or access agreements
Use the required agency wording, scope and signature rules; NSF collaboration letters do not endorse the project, and NIH has an announced FORMS-J transition
10. Budget and Budget Justification
Develop realistic budgets that align with the proposed work and agency guidelines.
Budget Categories (typical):
Personnel: Salary and fringe for PI, co-Is, postdocs, students, staff
Equipment: Apply the effective agency definition and institutional capitalization threshold
Travel: Conferences, collaborations, fieldwork
Materials and Supplies: Consumables, reagents, software
Other Direct Costs: Publication costs, participant incentives, consulting
Indirect Costs (F&A): Institutional overhead (rates vary)
Subawards: Costs for collaborating institutions
Agency-Specific Considerations:
NSF:
Full budget justification required
Voluntary committed cost sharing is prohibited; include mandatory sharing only when required
Normal two-month salary policy across all NSF grants for each senior/key person; anticipated excess needs justification/approval
Graduate student support encouraged
NIH:
Modular budgets for eligible applications requesting at most $250K direct costs per budget period, excluding consortium F&A
Detailed budgets when above that threshold or required by the NOFO, applicant type or mechanism
Salary cap and current fiscal policy: see the dated source trail in
nih_guidelines.md; use the institutional salary basis and allowable effortNo universal one-month PI effort cap; reconcile effort, appointment and other commitments
DOE:
Cost sharing and exceptions depend on the NOFO and award instrument
Budget periods and task breakdown as required by the NOFO
Institutional commitment letters when required by the NOFO
National laboratory funding route and budget as permitted by the NOFO and lab
DARPA:
Budgets by phase and task when requested
Supporting cost data as required by the solicitation and instrument
Award instrument determines applicable cost and supporting-document requirements
Travel budget for program meetings
Budget Justification Writing:
Justify each line item in terms of the research plan
Explain effort percentages for personnel
Describe specific equipment and why necessary
Justify travel (conferences, collaborations)
Explain consultant roles and rates
Show how budget aligns with timeline
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Declares allowed tools, Needs network access, Needs an API key, Needs Python
The author says: Requires network access to verify current opportunities and agency instructions, or supplied dated official documents for a bounded review. Optional figures via scientific-schematics require OPENROUTER_API_KEY and outbound API access.
Security
No issues found by our static scan· No issues found
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Attribution and licence
- Created by
- K-Dense Inc.
- Publisher
- K-Dense (Community)
- Source
- K-Dense-AI/scientific-agent-skills · skills/research-grants · commit a25cf9e
- Licence
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- LICENSE (added by AutoGineer from LICENSE.md)
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