Single-candidate fit assessment
Get a computed match against the spec with the covered and missing skills named.
— Talent & Leadership
Candidate ↔ Job Spec match
Extracts skills from a candidate and a job spec and runs a deterministic match, producing a coverage figure with a written fit verdict.
- Talent & Leadership
- Traceable reasoning
- Runs anywhere
1 week → ~15 minutes
For one complete, review-ready pass
No coding required
- Input
- The candidate CV or profile
- Output
- A deterministic skills match with coverage figure
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1 week per run
— USE CASES
What people use Candidate ↔ Job Spec match for
Hiring manager conversations
Discuss fit against extracted requirements rather than general enthusiasm.
Internal applications
Assess an internal candidate against a spec on the same basis as external ones.
What it works from
- The candidate CV or profile
- The job specification
- Any weighting across requirements
What you get back
- A deterministic skills match with coverage figure
- Covered and missing requirements named
- A written verdict report
— HOW IT BEHAVES
How Candidate ↔ Job Spec match produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Composed as work product
Findings are written up as a document that reads like professional output rather than raw model text.
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.
Grounded in your own material
The run works from documents and data you supply, so conclusions are anchored to your evidence rather than to general model knowledge.
Why this is expensive by hand
Every talent & leadership team needs candidate ↔ Job Spec match — and almost none of them do it the same way twice. Single-candidate fit assessment is the typical trigger — get a computed match against the spec with the covered and missing skills named. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1 week of manual work.
How this Skill produces it
Here the same job runs as a Skill. Your material goes in; a deterministic skills match with coverage figure comes out, alongside covered and missing requirements named. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. The practical effect: 1 week of manual work becomes a ~15 minutes run, held to an identical standard on the tenth engagement as on the first.
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
Candidate ↔ Job Spec match 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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