AF feature-sunset-plan
Plan the retirement of a product feature — the kill decision made honest, user migration, data handling, comms sequencing, and the code actually deleted. Use when deprecating or sunsetting a feature, killing an underused capability, retiring an AI feature that didn't land, or when a 'deprecated' feature has haunted the codebase for two years. Produces a sunset plan: the decision record, affected-user analysis, migration paths, a staged timeline with comms per stage, and the removal checklist. For API deprecation specifically use api-versioning-strategy.
Plan the retirement of a product feature — the kill decision made honest, user migration, data handling, comms sequencing, and the code actually deleted.
As a process F 58/100 · Will not run — References files that are not bundled: ../professional-brain/SKILL.md
How to improve
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: ../professional-brain/SKILL.md - note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 58/100
- 0Tools and files. 1 referenced file(s) missing: ../professional-brain/SKILL.md
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 7 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 31 steps
- 100Result and completion. Output format and completion criterion are stated
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1465 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 559: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 31 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.