Repeatable client analysis
Run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work.
— Operations & Process
Policy-to-process translator
Decomposes a policy or regulation into individual obligations with owner, deadline and evidence, writes them up as an operational procedure, and tests your current process against each to expose gaps.
- Operations & Process
- Traceable reasoning
- Runs anywhere
3–4 days → ~15 minutes
For one complete, review-ready pass
No coding required
- Input
- Documents, exports or uploads you already hold
- Output
- A structured, review-ready deliverable
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~3–4 days per run
— USE CASES
What people use Policy-to-process translator for
Faster first drafts
Turn raw source material into a working draft in minutes and spend your time on judgement instead of assembly.
Comparable results over time
Produce the same shape of output each cycle so movement is measurable rather than re-argued.
What it works from
- Documents, exports or uploads you already hold
- Your own criteria, framework or house method
What you get back
- A structured, review-ready deliverable
- A traceable record of what informed each conclusion
— HOW IT BEHAVES
How Policy-to-process translator 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.
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
Policy-to-process translator is routine in name only: the inputs are messy, the standard is unwritten, and two people rarely reach the same answer. In practice it shows up as repeatable client analysis: run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 3–4 days of senior time whenever it comes round.
How this Skill produces it
As a Skill, the work is already sequenced. You bring the evidence, and the run produces a structured, review-ready deliverable plus a traceable record of what informed each conclusion. 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. The practical effect: 3–4 days 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
Policy-to-process translator 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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