AC capgo-release-workflows
Designs repository-owned release pipelines for Capacitor apps that combine Capgo live updates, native builds (Capgo Build or the team's own CI runners), and App Store / Play publishing, with an automatic OTA-vs-native gate (`bundle releaseType`, `build needed`), staged channels, and rollback. Use when the user wants one release system covering OTA, builds, and store publishing, is replacing a hosted release service with CI they own, or asks how CI should decide between a live update and a store build. Do not use for single-step tasks (capgo-release-management, capgo-native-builds, capgo-live-updates), non-Capacitor apps, or Ionic Enterprise plugin migration (ionic-enterprise-sdk-migration).
Designs repository-owned release pipelines for Capacitor apps that combine Capgo live updates, native builds (Capgo Build or the team's own CI runners), and…
As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 58/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 4 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 34 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1392 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
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 699: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.