Talent & Leadership

Match gate (If / Else)

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.

  • Talent & Leadership
  • Traceable reasoning
  • Runs anywhere
Preview methodology

1 day ~15 minutes

For one complete, review-ready pass

No coding required

Input
Candidate evidence
Output
A deterministic coverage match per candidate
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1 day per run

— USE CASES

What people use Match gate (If / Else) for

Automated first-pass screening

Apply one coverage threshold across an applicant flow and let the branch handle the outcome.

Consistent rejection handling

Produce a reasoned note for every below-threshold candidate instead of silence.

Focusing recruiter time

Only generate full briefs for candidates who actually clear the bar.

What it works from

  • Candidate evidence
  • The role or job specification
  • Your coverage threshold

What you get back

  • A deterministic coverage match per candidate
  • A full brief or a rejection note depending on the gate
  • The same threshold applied every time

— HOW IT BEHAVES

How Match gate (If / Else) produces its result

The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.

Branching on the evidence

The path taken depends on what the analysis found, so thin cases and strong cases are handled differently by design.

Criteria-based analysis

Material is assessed against explicit criteria you control, so the same standard is applied on every run.

Like-for-like comparison

Items are compared on the same dimensions, which makes differences meaningful rather than impressionistic.

Structured extraction

Facts, fields and entities are lifted out of unstructured material and held in a consistent shape.

Why this is expensive by hand

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.

How this Skill produces it

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.

Who it's for

  • Independent consultants codifying their own methodology
  • Strategy and transformation teams standardising delivery
  • Internal advisory functions under pressure to produce faster
  • Operators who need defensible output, not a one-off chat answer

Run it in Skillsize — or export it anywhere

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.

ChatGPTClaudeCopilotAI Products (MCP)

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