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.
1 day → ~15 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.
The path taken depends on what the analysis found, so thin cases and strong cases are handled differently by design.
Material is assessed against explicit criteria you control, so the same standard is applied on every run.
Items are compared on the same dimensions, which makes differences meaningful rather than impressionistic.
Facts, fields and entities are lifted out of unstructured material and held in a consistent shape.
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 1 day 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, 1 day of senior time compresses into ~15 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.
Build a competency framework
Groups and merges skills from role profiles, standards and existing drafts into a single structured, consistently worded competency framework.
Role benchmark research
Researches how a role is defined externally and reshapes the findings into a structured benchmark you can hold your own definition against.
Potential and readiness
Assesses potential and readiness separately against calibrated criteria, showing the supporting evidence behind each bucket for talent review discussions.