SKILLEMALL.ai
GitHub ↗ RU Sign in

AC capacitor-mcp

Connect AI agents (Claude Code, Claude Desktop, Cursor, VS Code, Cline, Codex) to Capacitor and Ionic tooling over Model Context Protocol. Covers the awesome-ionic-mcp server (Ionic component APIs, Capacitor plugin docs, Ionic/Capacitor CLI tools), the Capgo hosted MCP at https://api.capgo.app/mcp, the local Capgo CLI MCP (npx @capgo/cli@latest mcp), and Xcode's MCP bridge (xcrun mcpbridge) for building the iOS app from an agent. Use when the user wants to add, configure, verify, or troubleshoot an MCP server for a Capacitor project, or sees errors like "GitHub API rate limit exceeded", "unable to find utility \"mcpbridge\"", or an MCP server that connects with no tools. Do not use for Capgo account operations themselves (capgo-cloud, capgo-cli-usage), app debugging (debugging-capacitor), device logs (ios-android-logs), choosing plugins (capacitor-plugins), or Ionic UI work (ionic-design).

Cap-go/capgo-skills Agent Skills author: Cap-go 5 files body ≈ 1 964 tokens Open the sourcegithub.com↗ analyzed 8 h ago

Connect AI agents (Claude Code, Claude Desktop, Cursor, VS Code, Cline, Codex) to Capacitor and Ionic tooling over Model Context Protocol.

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationVS CodeGitHubAI and agentstype 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
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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-mcp (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 · 0

    ✓ No critical or high findings

    Files scanned: 5. 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 63/100

    • 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
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 38 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1964 tokens
    • low The response is described with custom markup (5 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 902: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 38 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.