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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.
Passed 9 of 15 test cases with the skill, and 2 of 15 without it.
and 16 more in the full report
10 fixed3 passed either way9 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our startup created a real-time procedural terrain engine for multiplayer game studios at https://worldforge.dev. Execute the VC matching command to find investors.
| Checked | Without skill | With skill |
|---|---|---|
| Executes python scripts/run.py using --url https://worldforge.dev. | Missed | Passed |
The instructions your model reads when the skill loads.
Identify targeted VC funds based on a product's description and URL.
Use this skill when the user asks to:
Ask the user for the product description and the URL. Optional parameters:
Pre-Seed, Seed, Series A (--stage)vc-matches.md (--output)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]
test cases passed, vs 2 / 15 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.