# Partner Fit

> Check a B2B SaaS vendor's technology-partnership portfolio. Answer a short interview and paste the candidate
> partners and the certifications planned; the browser reads each partner's demand evidence, places it on the
> referral-to-OEM depth ladder, ranks the portfolio shape and where the function reports, and checks certification
> renewals, attribution plumbing and comp. Metered runs write the partnership portfolio, and the attribution rules.
> Built on the SkillSafe skill @samber/integration-partnership-strategy, from samber/developer-platform-skills (MIT),
> by Samuel Berthe.

https://partner-fit.skillsafe.ai/

## What is free
- The scorecard: each candidate's evidence read as numeric, a source without numbers, or not evidence at all (relationship-only candidates are parked); each placed at referral, reseller, co-sell, co-build or OEM, with graduation past co-sell gated on proven joint economics and the reseller rung deleted when the model cannot carry it.
- The rankings: few-and-deep, category-coverage breadth or platform-anchor; the depth ladder; Sales, Product or a standalone Alliances org - each with the moves the interview causes.
- The gates: evidence for every partner, proven graduations, owned and budgeted certification renewals, sourced and influenced as two capped CRM numbers claimed at creation, equal comp and one forecast. Plus a scorecard CSV, an attribution rules draft, the checks (.csv) and everything (.json).

## The metered lanes
Two tasks on gpt-terra, metered per run, routed by `task`. Input string fields: `task` (portfolio or attribution), `company`, `partners`, `carry` (attribution only: the portfolio decisions) and `facts`.
- `portfolio` replies with `summary`, `portfolio`, `shortlist`, `governance`, `certifications`, `org`, `kpis` and `caveats`.
- `attribution` replies with `summary`, `definitions`, `claim`, `caps`, `motions`, `comp`, `forecast`, `kpis` and `caveats`.
The page holds every reply to its own facts: the ranked shape, every partner at the page's rung with evidence and a next move, governance for each co-build or OEM partner, owned certifications and the ranked placement; two capped numbers, a CRM claim at creation inside a short window, one rule per rung in use, equal comp, one forecast and the four executive measures.

## Links
- API tutorial: https://partner-fit.skillsafe.ai/api.html
- Source skill: https://skillsafe.ai/skill/@samber/integration-partnership-strategy