Pre-project capability check
Confirm the team actually covers the skills a piece of work assumes before it is committed.
— Talent & Leadership
Skills coverage analysis
Measures a team or role population against a defined target skill set and quantifies where coverage is strong, thin or absent.
- Talent & Leadership
- Traceable reasoning
- Runs anywhere
1 day → ~10 minutes
For one complete, review-ready pass
No coding required
- Input
- The target skill set or role requirements
- Output
- Quantified coverage per target skill
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~1 day per run
— USE CASES
What people use Skills coverage analysis for
Learning investment decisions
Direct training budget at the skills with genuine coverage gaps rather than the ones people ask for.
Bid and resourcing assurance
Evidence coverage of required skills when a client or auditor asks how you know.
What it works from
- The target skill set or role requirements
- Team or role evidence held in Skillsize
- Any thresholds for what counts as covered
What you get back
- Quantified coverage per target skill
- Named thin and absent areas
- A comparable baseline for the next review
— HOW IT BEHAVES
How Skills coverage analysis produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Coverage across the role or function in scope, both directions
A coverage pass shows which skills are supported by evidence and which are not — including requirements with nothing behind them and material that supports nothing.
Grounded in your own role documentation and capability evidence
The run works from role documentation and capability evidence you supply, so conclusions about the role or function in scope are anchored to your evidence rather than general model knowledge.
Synthesis into a deliverable
Findings across the role or function in scope are pulled together into a written output ready for review.
Why this is expensive by hand
Coverage claims usually rest on a self-assessment survey nobody trusts. In practice it shows up as pre-project capability check: confirm the team actually covers the skills a piece of work assumes before it is committed. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 1 day of capacity for it.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is quantified coverage per target skill, with named thin and absent areas. 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. Net effect: 1 day down to ~10 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Who it's for
- CHROs and talent management leads
- Succession and leadership development teams
- Executive assessors and coaches
- Consultants running talent reviews
Run it in Skillsize — or export it anywhere
Skills coverage analysis 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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