Automated first-pass screening
Apply one coverage threshold across an applicant flow and let the branch handle the outcome.
— Talent & Leadership
Runs a deterministic candidate-to-role match against a coverage threshold, branching to a full brief above the bar or a rejection note below it.
30–45 minutes → ~3 minutes
For one complete, review-ready pass
No coding required
— USE CASES
Apply one coverage threshold across an applicant flow and let the branch handle the outcome.
Produce a reasoned note for every below-threshold candidate instead of silence.
Only generate full briefs for candidates who actually clear the bar.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Skills and requirements are read out of assessment and review evidence as structured data rather than inferred from job titles.
Thin cases and strong cases among your people are handled differently by design, based on what the analysis actually found.
Each person is assessed against explicit criteria you control, so the same standard is applied across the talent population on every run.
People are compared on the same dimensions, which makes differences meaningful rather than impressionistic.
Every talent & leadership team needs match gate (If / Else) — and almost none of them do it the same way twice. In practice it shows up as automated first-pass screening: apply one coverage threshold across an applicant flow and let the branch handle the outcome. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 30–45 minutes of senior time whenever it comes round.
Skillsize turns that work into a Skill: you supply the material, and what comes back is a deterministic coverage match per candidate, with a full brief or a rejection note depending on the gate. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. In effect, 30–45 minutes of senior time compresses into ~3 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Match gate (If / Else) exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
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Reveals how organisational culture is lived through anonymous employee accounts, producing an evidence-backed diagnostic of shared themes, differences between functions and gaps between values and practice.
Turns a high-potential's assessment evidence into an acceleration plan weighted to real experience and exposure, naming the stretch assignments, mentors and programmes that will compound fastest.
Builds a calibrated, reusable benchmark from source material so every later screen, shortlist or review is graded against the same bar.
Screens candidate evidence against a saved Blueprint, applying the same calibrated bar and traceable reasoning to every applicant.