Warm path finder
Free, open-source Claude Code skills for founder-led fundraising — find stage/sector-fit investors (researched live, no hallucinated lists), then run cold email, warm intros & cold calls without spam. Bilingual EN/中文 (US + China). Built by a founder raising for Copay (agentic stablecoin payments).
npx -y skills add oncesylvia/fundraising-skills --skill warm-path-finderAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Find the right human at an investor (the partner / principal / senior investment manager who owns your deal) AND map the warm-connection paths to reach them. Use when a founder says "who at <firm> should I talk to", "how do I get a warm intro to <investor>", "find a connection to <fund>", "who can introduce me", or is stuck going from a target firm to an actual person and a path in. Works from the founder's own authorized data (Gmail, exported LinkedIn connections, contacts) + public sources — never scrapes private data or guesses personal emails.
SKILL.md
8.0 KB, as published. Nobody here has run it
Warm path finder
Targeting tells a founder which firms. This skill closes the gap everyone gets stuck on: which specific human to reach, and who can warmly introduce them. It does two jobs:
- Pinpoint the person — the partner / principal / senior investment manager
who actually owns your sector and stage at the target firm (pitching the
wrong person wastes the shot). See
references/finding-the-person.md. - Map & rank warm paths to that person — surface every legitimate route
from the founder's network, score by trust × reachability, and hand the best
one to the
warm-introskill. Seereferences/connection-mapping.md.
Read shared/references/outreach-ethics.md first. The whole skill lives or dies
on staying inside what's authorized and public (see the data-source tiers
below). Same anti-hallucination rule as the other research skills: a person or a
connection you assert must come from real data or live research, with a source —
never invent a partner, a title, or a mutual contact.
The hard line on data (read this before doing anything)
| ✅ Allowed | ❌ Not allowed |
|---|---|
| The founder's own authorized data: their Gmail, their Google/phone contacts, a LinkedIn connections export they downloaded | Reading the founder's LinkedIn graph via API or scraping (no API exists; scraping breaks ToS and risks a ban) |
| Public info: X/Twitter bios, firm team pages, portfolio lists, podcasts, conference speakers, Crunchbase/AngelList people | Crawling login-walled content at scale |
| The founder manually checking shared connections / DM-open status while logged in | Guessing or buying personal email addresses to blast |
If a step would cross this line, stop and tell the founder.
Step 1 — Pinpoint the right person
For a target firm, identify the specific decision-maker, not "the firm." See
references/finding-the-person.md. In short:
- Find the partner/principal who leads your sector & stage — via the firm's team page, who led the round for portfolio companies like yours (search "<analogous company> <round> <firm> partner"), their public thesis/posts.
- A senior associate / principal / senior investment manager who covers your space can be the better first target than a famous GP — they're more reachable and looking to source. Note who sources vs. who decides.
- Capture their public footprint: firm bio, LinkedIn URL, X handle, recent writing/podcasts. This is research input, not contact-harvesting.
Step 2 — Search the founder's own authorized data first (Tier 1)
This is where the real warm paths hide, and it's 100% authorized. Ask the
founder which they can provide, then mine it. If they don't know how to get the
data, point them to references/exporting-your-data.md (step-by-step LinkedIn
export + Gmail/contacts, EN + 中文).
- Gmail (if connected): search their history for anyone already linked to the target firm or person — past threads, shared recipients, intros they've received. An existing thread is a warm path.
- Exported LinkedIn connections CSV: have the founder export it themselves (LinkedIn → Settings → Data Privacy → Get a copy of your data → Connections). Then cross-reference names/companies against the target firm and its portfolio.
- Contacts: Google/phone contacts for the same matching.
Match on: people at the firm, people who are portfolio founders of the firm (highest-trust introducers), and people who share an employer/school with the target person.
Step 3 — Map public-network paths (Tier 2)
For paths not in the founder's own data, find them in the open:
- Portfolio-founder paths (best): a founder the firm already backed vouching for you is the strongest intro. Find portfolio cos near your space; the founder may know one, or know someone who does.
- X/Twitter: locate the firm's partners/managers, their public thesis, and whether they're reachable (open DMs / active repliers). The founder confirms DM-open status on the profile; you draft the message.
- Shared communities: accelerator alumni, university/employer networks, angel syndicates, founder Slacks/Discords, mutual advisors.
- Events: who from the firm is speaking where — a live intro beats a cold DM.
See references/connection-mapping.md for how to mine each surface.
Step 4 — Score and rank the paths
For every path found, score it so the founder spends their best shots well.
Rank by trust × reachability (see the rubric in connection-mapping.md):
- Trust: how much does the target person trust the introducer? (portfolio founder > close peer/colleague > acquaintance > weak tie)
- Reachability: how easily can the founder actually ask this introducer, and how likely are they to say yes and follow through?
Output a ranked shortlist, not a dump. The best connector is the one the target actually replies to and who genuinely rates you — not the most senior name.
Step 5 — Hand off
- If a warm path exists → pass the top path + the named introducer to the
warm-introskill to write the ask + forwardable blurb. - If no warm path in the founder's own network (common for first-time /
cross-border founders) → don't jump straight to cold. Widen the surface:
accelerators, scouts, syndicates, operator angels, communities, give-to-get,
build-in-public all manufacture warm intros — see
references/expand-warm-surfaces.md, and vet any scout/FA channel with thefundraising-agentsskill. - Only once warm surfaces are genuinely exhausted → the strongest direct route
(an open-DM partner who posts about your space, a firm's submit page) → hand to
cold-email/cold-call, anchored on the specific person and thesis. - Always note the contact route + DM-open/submit status you found, and a reminder to re-verify it right before reaching out.
Output format
- The person: name, title, why them (sector/stage fit), public footprint, source links, confidence flag.
- Ranked warm paths: introducer → relationship → trust×reachability score → how the founder knows them (Tier 1/2 source).
- Recommended next move: the single best path, and which skill to use next.
- Coverage note: which data the founder did/didn't provide (e.g., "no LinkedIn export yet — here's how to get it and what it would unlock").
Bilingual / China market (中文)
If the founder is raising in the China market, read
shared/references/china-market-playbook.md and use
references/zh-talk-tracks.md. LinkedIn is effectively gone in China and WeChat has no clean contact export, so
do not ask a China founder for a LinkedIn CSV. Instead have them fill the
focused contact sheet (references/contact-sheet-template.csv) from their
phone contacts export, CamCard/名片全能王 export, alumni rosters, and WeChat tags
— then mine that. Full how-to (中文) is in references/exporting-your-data.md.
Online paths: 脉脉 (Maimai), 微信好友/群, 校友圈; X applies only for 欧美 investors.
Refuse / push back when
- Asked to scrape LinkedIn or read the connection graph via API — explain the authorized export route instead.
- Asked to guess or obtain personal emails to mass-contact — refuse; route to a warm path or a public submit form.
- Asked to assert a "mutual connection" that isn't backed by the founder's data or a real source — never fabricate a relationship.