Vc curated match
Accepts a product description and URL to algorithmically identify relevant Venture Capital investors targeting exactly that stage, industry, and niche based on a curated static dataset.From its SKILL.md
npx -y skills add Varnan-Tech/opendirectory --skill vc-curated-matchAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.5 KB, 288 tokens by cl100k_base, as published. Nobody here has run it
VC Curated Match Skill
Identify targeted VC funds based on a product's description and URL.
When to Trigger This Skill
Use this skill when the user asks to:
- Find investors for their startup or open-source project.
- Get a list of relevant VC funds by stage, industry, or space.
- Match their product built with specific technologies to investor theses.
Step 1: Confirm Input
Ask the user for the product description and the URL. Optional parameters:
- Stage:
Pre-Seed,Seed,Series A(--stage) - Output: e.g.,
vc-matches.md(--output)
Step 2: Fetch Matches & Generate Report
Run the orchestrator script to handle context fetching, VC matching, and Markdown generation in one command.
python scripts/run.py --description "A fast rust-based web framework" --url "https://example.com"
For custom requests, append overrides:
python scripts/run.py \
--description "..." \
--url "..." \
[--stage Seed] \
[--output matched-investors.md]
Step 3: Present Results
Summarize the closest matches returned. Mention high-confidence matches explicitly. Provide the output path.
Dependencies
Standard Python 3.10+ library (no external packages required).
What ships with it: 11 files
59.2 KB alongside SKILL.md, 4 of them executable
data/
- vc_funds.json11.9 KB
evals/
- ai-b2b-saas-seed.md6.2 KB
- devtool-oss-seed.md6.3 KB
- evals.json1.7 KB
- fintech-india-preseed.md6.5 KB
- varnan-seed.md6.3 KB
scripts/
- fetch_product_context.pyruns3.6 KB
- generate_report.pyruns4.5 KB
- match_vcs.pyruns4.0 KB
- run.pyruns3.2 KB
- README.md5.1 KB