VC Curated Match Skill
SkillDatabases & dataAccepts 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the VC Curated Match Skill skill
What this skill tells your AI
The instructions your AI receives, as published by varnan-tech/opendirectory in skills/vc-curated-match/SKILL.md and read by ahel’s review.
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).
Signals
- GitHub stars
- 642
- Forks
- 68
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
vc-curated-match- Source
- github.com/varnan-tech/opendirectory