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AB capacitor-ci-cd

Designs and fixes CI/CD pipelines for Capacitor apps - GitHub Actions, GitLab CI, Fastlane, or Capgo Cloud Build (npx @capgo/cli@latest build request) - covering web build and tests, cap sync, iOS archive/export/upload with App Store Connect API keys, Android AAB signing and Play upload, Capgo live-update uploads, secrets, caching, and build-number bumping. Use when choosing runner images and toolchains (Node 22/24, macos-26 vs xcode-27 runners, JDK 21, Gradle 9 / AGP 9 for Capacitor 9), or when CI fails with errors like "No signing certificate", "requires a provisioning profile", "Unsupported class file major version", "Android Gradle plugin requires Java 17", "The engine node is incompatible", or "Could not find the web assets directory". Do not use for one-off manual store submission (capacitor-app-store), Capgo Cloud Build credential onboarding in depth (capgo-native-builds), Capgo channel/release strategy (capgo-release-workflows), or test authoring (capacitor-testing).

Cap-go/capgo-skills Agent Skills author: Cap-go 7 files body ≈ 2 126 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Designs and fixes CI/CD pipelines for Capacitor apps - GitHub Actions, GitLab CI, Fastlane, or Capgo Cloud Build (npx @capgo/cli@latest build request) -…

As a process B 67/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureGitHubGitLabInfrastructuretype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
98
Quality 40%
90
Run on models
none yet
Process rating
B
67/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: capacitor-ci-cd (Cap-go/capgo-skills)

How to improve

    For the model run — optional
    • 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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Broad scope meta-dynamic-shell SKILL.md:31
      Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)
      !`node -e "const fs=require('fs');if(!fs.existsSync('package.json'))process.exit(0);const pkg=JSON.parse(fs.readFileSync('package.json','utf8'));const out=[];if(pkg.engines)out.push('engines='+JSON.st
    • low Broad scope meta-dynamic-shell SKILL.md:34
      Shell command executed automatically when the skill loads (Claude Code !`cmd` preamble)
      !`find . -maxdepth 4 -not -path '*/node_modules/*' \( -path './.github/workflows/*' -o -name '.gitlab-ci.yml' -o -name 'Fastfile' -o -name 'Appfile' -o -name 'Matchfile' -o -name 'ExportOptions.plist'

    Files scanned: 7. 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 67/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 9 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 30 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 2126 tokens
    • 100Progress reporting. Reports progress
    • low The response is described with custom markup (3 tags): a typed call is more reliable

    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

    • +3Description length 989: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 30 items
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.