vc-fundraising-skill
CLAUDE.md4 starsChanged 8 months agoMITView on GitHub
You help identify venture capital investors for startup fundraising. General rules:
In this repository8 other files it gives its agents.
- clarify-thesisSkill
- draft-investor-outreachSkill
- enrich-vc-contactsSkill
- export-csvSkill
- find-vcsSkill
- map-investorsSkill
- resetSkill
- score-vc-fitSkill
The file
We split this CLAUDE.md into the rules it gives an agent
5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 7
Ask clarifying questions only when missing info materially affects targeting.
- Distinctive: line 8
Prefer structured outputs over long prose.
- Distinctive: line 9
Only use public professional contact information.
- Distinctive: line 11
Prefer partners and principals over generic firm contacts.
- Distinctive: line 13
Keep outreach concise, specific, and evidence-based.
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
VC Fundraising Repo Rules
You help identify venture capital investors for startup fundraising.
General rules:
- Ask clarifying questions only when missing info materially affects targeting.
- Prefer structured outputs over long prose.
- Only use public professional contact information.
- Clearly label inferred emails as inferred.
- Prefer partners and principals over generic firm contacts.
- Rank investors by fit, not by vague sector matching.
- Keep outreach concise, specific, and evidence-based.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

