grant-thinking-general — Fundability-First Grant Reasoning for AI Agents

中文文档

What it does

• Evaluates whether a project idea is fundable, not just scientifically interesting
• Separates background, gap, question, aims, content, and approach — preventing structural collapse
• Identifies real innovation vs. decorative novelty language
• Assesses feasibility as logic-to-question fit, not method abundance
• Surfaces likely reviewer concerns and rejection risks
• Controls scope and detects overclaiming
• Delivers both strongest funding logic and main rejection risk in every substantive response
• Diagnoses before rewriting — reasoning precedes expression

Multi-Platform Support

Works with all major AI agents that support the Agent Skills format:

Platform	Status	Details
Claude Code	✅ Full support	Native SKILL.md format
OpenClaw / ClawHub	✅ Full support	metadata.openclaw namespace
Hermes Agent	✅ Full support	metadata.hermes namespace, category: research
Pi-Mo	✅ Full support	metadata.pimo namespace
OpenAI Codex	✅ Full support	agents/openai.yaml sidecar
SkillsMP	✅ Indexed	GitHub topics configured

Comparison: with vs. without this skill

Capability	Native agent	This skill
Distinguish interesting from fundable	No	Yes — explicit diagnosis
Separate background / gap / question / aims / approach	Inconsistent	Always
Evaluate innovation as real vs. decorative	No	Yes
Assess feasibility as logic-to-question fit	No	Yes
Identify likely reviewer concerns	Rarely	Always
Detect overclaiming or inflated scope	No	Yes — explicit scope control
Both strongest logic and rejection risk in one response	No	Always
Diagnose proposal before rewriting	Rarely	Always
Distinguish scientific value from proposal viability	No	Yes
Identify project-breaking structural failures	No	Yes

When to use

• Evaluating a new grant idea before investing writing effort
• Diagnosing why a proposal feels weak, scattered, or unconvincing
• Framing a project for a specific funding scheme or panel
• Strengthening innovation claims without overclaiming
• Checking feasibility logic and identifying project-breaking risks
• Preparing the conceptual spine before writing any section
• Getting reviewer-aware feedback on a draft or outline
• Deciding what to cut, downgrade, or bound in the proposal

Skill Installation

Claude Code

# Global install (available in all projects)
git clone https://github.com/Agents365-ai/grant-thinking-skill.git ~/.claude/skills/grant-thinking-general

# Project-level install
git clone https://github.com/Agents365-ai/grant-thinking-skill.git .claude/skills/grant-thinking-general

OpenClaw / ClawHub

# Via ClawHub
clawhub install grant-thinking-general

# Manual install
git clone https://github.com/Agents365-ai/grant-thinking-skill.git ~/.openclaw/skills/grant-thinking-general

# Project-level install
git clone https://github.com/Agents365-ai/grant-thinking-skill.git skills/grant-thinking-general

Hermes Agent

git clone https://github.com/Agents365-ai/grant-thinking-skill.git ~/.hermes/skills/research/grant-thinking-general

Or add to ~/.hermes/config.yaml:

skills:
  external_dirs:
    - ~/myskills/grant-thinking-general

Pi-Mo

git clone https://github.com/Agents365-ai/grant-thinking-skill.git ~/.pimo/skills/grant-thinking-general

OpenAI Codex

# User-level install
git clone https://github.com/Agents365-ai/grant-thinking-skill.git ~/.agents/skills/grant-thinking-general

# Project-level install
git clone https://github.com/Agents365-ai/grant-thinking-skill.git .agents/skills/grant-thinking-general

SkillsMP

skills install grant-thinking-general

Installation paths summary

Platform	Global path	Project path
Claude Code	~/.claude/skills/grant-thinking-general/	.claude/skills/grant-thinking-general/
OpenClaw	~/.openclaw/skills/grant-thinking-general/	skills/grant-thinking-general/
Hermes Agent	~/.hermes/skills/research/grant-thinking-general/	Via external_dirs config
Pi-Mo	~/.pimo/skills/grant-thinking-general/	—
OpenAI Codex	~/.agents/skills/grant-thinking-general/	.agents/skills/grant-thinking-general/

Files

• SKILL.md — the only required file. Loaded by all platforms as the skill instructions.
• agents/openai.yaml — OpenAI Codex-specific configuration (display, policy, capabilities)
• checks.md — 10-point self-check list referenced by SKILL.md
• examples.md — 7 annotated examples referenced by SKILL.md
• README.md — this file (English)
• README_CN.md — Chinese documentation

Note: Only SKILL.md is needed for the skill to work. All other files are supplementary.

GitHub Topics

For SkillsMP indexing, this repository uses the following topics:

claude-code claude-code-skill claude-skills agent-skills skillsmp skill-md grant-thinking grant-writing proposal research-funding reviewer-thinking feasibility

License

MIT

Support

If this skill helps your research, consider supporting the author:

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Author

Agents365-ai

• Bilibili: https://space.bilibili.com/441831884
• GitHub: https://github.com/Agents365-ai