Standing up a skills taxonomy
Build the first levelled catalogue from documents you already hold rather than from a vendor's generic library.
— Talent & Leadership
Build skills catalogue
Codes recurring themes from a set of role and framework documents into a levelled skills catalogue, with a review pause before it's finalised.
- Talent & Leadership
- Human review built in
- Traceable reasoning
- Runs anywhere
2–3 weeks → ~15 minutes
For a typical multi-document review workflow
No coding required
- Input
- Role profiles and framework documents as a set
- Output
- A levelled skills catalogue
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~2–3 weeks per run
— USE CASES
What people use Build skills catalogue for
Consolidating inherited frameworks
Merge overlapping frameworks from different functions or acquired entities into one levelled structure.
Keeping the catalogue current
Re-run against updated role documents so the catalogue is maintained rather than rebuilt.
What it works from
- Role profiles and framework documents as a set
- Your level definitions and house terminology
- Any skills you require to be retained
What you get back
- A levelled skills catalogue
- Themes coded consistently across every source document
- A human review point before the catalogue is finalised
— HOW IT BEHAVES
How Build skills catalogue produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Whole document sets at once
A folder of material is processed as one set, so cross-document patterns surface instead of being read one file at a time.
Clarified before it runs
Ambiguities are settled with you up front, so the run does not quietly assume the wrong scope.
Human review gate
The run pauses for a person to confirm the facts that matter before the deliverable is composed.
Composed as work product
Findings are written up as a document that reads like professional output rather than raw model text.
Enriched row by row
Each row gains derived columns from the analysis, keeping the source data and the judgement side by side.
Delivered as a working table
Results land as a clean table you can sort, filter or drop straight into the deliverable.
Why this is expensive by hand
A skills taxonomy assembled by hand takes months and drifts immediately. Standing up a skills taxonomy is the typical trigger — build the first levelled catalogue from documents you already hold rather than from a vendor's generic library. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 2–3 weeks of manual work.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is a levelled skills catalogue, with themes coded consistently across every source document. 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: 2–3 weeks down to ~15 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
Build skills catalogue 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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