Skip to content
Development
Command

/cs-grants

/cs:grants <research-idea> — NIH funding intelligence. 6-Q grill-me intake (idea + career stage + prelim + environment + posture + institutes) → 5-facet Consensus positioning + RePORTER POST institute mapping + NOSI fetches → 9-section .docx with mandatory program officer

From plugin
claude-skills
24k116 skills100 agents116 commands1 MCP
Install
$ npx -y skills add alirezarezvani/claude-skills --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/cs-grants

Context preview

What this command does when you run it.

/cs:grants <research-idea> — NIH funding intelligence. 6-Q grill-me intake (idea + career stage + prelim + environment + posture + institutes) → 5-facet Consensus positioning + RePORTER POST institute mapping + NOSI fetches → 9-section .docx with mandatory program officer

Command definition

cs-grants.md
name: "cs-grants"
description: "/cs:grants <research-idea> — NIH funding intelligence. 6-Q grill-me intake (idea + career stage + prelim + environment + posture + institutes) → 5-facet Consensus positioning + RePORTER POST institute mapping + NOSI fetches → 9-section .docx with mandatory program officer recommendation."

/cs:grants — NIH Funding Intelligence

**Command:** `/cs:grants <research-idea>`

The `cs-grants` persona produces a strategic NIH funding overview as an editable `.docx` for clinical researchers.

When to Run

  • Scoping NIH funding for a new research idea
  • Preparing for an R01 / R21 / K-award submission
  • Identifying institute targets + study sections
  • Generating draft Significance/Innovation language

NIH-Only Scope

Non-NIH funders (PCORI, DOD CDMRP, VA, foundations) are **out of scope** — surfaced and flagged at intake. Use a different skill or manual search for those.

Forcing Intake (6 Questions, One at a Time)

| Q | Asks | Notes | |---|---|---| | Q1 | Research idea (2-3 sentences) | refuses vague; "AI for healthcare" gets pushed back | | Q2 | Career stage: pre-doc / postdoc / early career / independent / senior | forcing choice | | Q3 | Preliminary data: none / pilot / strong / validated | forcing choice | | Q4 | Environment: R01-eligible / mid-tier / resource-constrained / industry-collab | forcing choice | | Q5 | Submission posture: new / resubmission / exploring | forcing choice | | Q6 | Known institute targets, or "no preference — find the right ones" | accept either |

Stop condition: after Q6, commit and start Phase 2A. Never re-open intake.

What You Get

After all 6 Qs + Phase 2A (Consensus) + Phase 2B (RePORTER) + NOSI discovery + Phase 3 DOCX:

grants_<topic-slug>_<YYYY-MM-DD>.docx

9 sections:
1. Executive Summary (career stage, environment, 3-4 key findings)
2. Research Positioning (3-5 gap quotes + draft Significance/Innovation)
3. Target Institutes (ranking table + interpretation)
4. Grant Opportunities (NOSI callout if any + top-3 FOAs)
5. Funded Overlap (top-5 projects + differentiation)
6. Study Sections (ranking + best-match)
7. Strategic Recommendations & Next Steps (3-4 recs + program officer + timeline)
8. References (numbered, hyperlinked to Consensus)
9. Audit Log (Consensus + RePORTER + NOSI tables + counts + plan tier)

Critical Tool Constraints

  • **Consensus**: 1 q/sec sequential. Plan-tier detected from "Found N, showing top M" patterns.
  • **RePORTER**: **POST-only**. Use `bash_tool` + `curl`. NEVER `web_fetch` (GET-only — will fail silently).
  • **NOSI fetch**: `web_fetch` for `NOT-*` URLs. If fetch fails, log `[NOSI {number} — fetch failed]` and continue.

Discipline (Research-Pack Convention)

  • **One intake Q per turn.** Never bundle.
  • **Sequential Consensus.** 1 q/sec.
  • **RePORTER POST.** `bash_tool` + `curl`. Not `web_fetch`.
  • **Source discipline.** Cite only session results.
  • **Three-count tracking.** Sent / shown / cited (Consensus) + projects / cited (RePORTER).
  • **Plan-tier detect at first Consensus call.** Surface in audit.
  • **Dynamic FY window.** Compute at runtime; never hardcode years.
  • **Scope-aware mechanisms.** Career stage + scope + prelim, not stage alone.
  • **Mandatory program officer rec.** Single most valuable advice.

Mechanism Reference (Embedded)

| Mechanism | Career stage | Scope | Prelim needed | Budget (typical) | |---|---|---|---|---| | F31, F32 | Trainee | Solo training | None–pilot | $40-50k/yr × 2-3 yr | | T32 | Inst. training grants | Pre-doc/postdoc | Institutional | Varies | | R03 | Independent | Small/pilot | None–pilot | $50k/yr × 2 yr | | R21 | Independent | Pilot/exploratory | None–pilot | $275k DC × 2 yr | | K-series | Early career | Career dev. | Pilot | $100-180k × 5 yr | | K99/R00 | Postdoc → ind. | Transition | Strong | $90k + $250k × 3 yr | | R01 | Independent | Hypothesis-driven | Strong | $250-499k × 4-5 yr | | R35 | Senior PI | Program | Validated | $750k × 5-8 yr | | U01 | Multi-site | Cooperative | Strong–validated | Varies; usually >$500k | | P01/P30 | Senior | Program | Validated | Multi-PI; >$1M/yr |

Submission Timeline (Embedded)

| Mechanism | Standard receipt dates | |---|---| | R01, R21, R03 | Feb 5, Jun 5, Oct 5 | | K awards (K01, K08, K23, K99) | Feb 12, Jun 12, Oct 12 | | R34, R61/R33 | Feb 16, Jun 16, Oct 16 | | F31, F32 | Apr 8, Aug 8, Dec 8 |

Trigger Phrases

  • "grants for [topic]"
  • "find grants for my research idea"
  • "what grants match my research"
  • "help me find NIH funding"
  • "grant opportunities for my research"
  • "NIH funding for [topic]"

Anti-Patterns Rejected

  • Parallelizing Consensus calls
  • Using `web_fetch` for RePORTER (POST-only)
  • Hardcoded fiscal year values
  • Mechanism recommendations on career stage alone
  • Silently filling thin facets with training knowledge
  • Skipping audit log
  • Skipping program officer recommendation
  • Conflating "found" / "shown" / "cited"
  • Fabricating NOSI details when fetch fails

Related

  • Agent: [`cs-grants`](../agents/cs-grants.md)
  • Skill: [`grants`](../skills/grants/SKILL.md)
  • Source spec: [`megaprompts/08-grants-megaprompt.md`](../../../megaprompts/08-grants-megaprompt.md)
  • Sibling: `/cs:litreview` (academic literature, no RePORTER)

---

**Version:** 1.0.0 **Source:** Path-B direct conversion of `megaprompts/08-grants-megaprompt.md`

Read more
Ships withclaude-skills

362 production-ready Claude Code skills, plugins, and agent skills for 13 AI coding tools. The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 9 more coding agents.

Get the whole plugin, auto-invoked
Stats
24,115
Stars
1
Views
3,400
Forks
Active
Maintenance
Python
Language
MIT
License
3d ago
Last commit
9mo ago
Created

Repo: alirezarezvani/claude-skills