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 week → ~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 week 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, both directions
A coverage pass shows what is supported and what is not — including requirements with nothing behind them and material that supports nothing.
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.
Synthesis into a deliverable
Findings 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 week 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 week down to ~10 minutes, no drift between runs, and every conclusion traceable back to the evidence behind 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
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)
More Talent & Leadership Skills
Browse the full library →Talent & Leadership
Build a competency framework
Groups and merges skills from role profiles, standards and existing drafts into a single structured, consistently worded competency framework.
Talent & Leadership
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.
Talent & Leadership
Potential and readiness
Assesses potential and readiness separately against calibrated criteria, showing the supporting evidence behind each bucket for talent review discussions.