claude

sc-ai-cli

AI-first CLI design toolkit: create, review, and harden JSON-first CLIs with MCP-ready contract seams, typed error contracts, auditable mutations, repeatable scaffolding patterns, and stateful simulator design guidance.

4 on GitHubby randleev0.13.0MITupdated 26 days agotools
/

Plugin sc-ai-cli from marketplace synaptic-canvas in randlee/synaptic-canvas. Commands read from the repo's manifest — 25 days ago.

What it installs

Skills (3)

  • creating-ai-clis

    Create or harden CLIs intended primarily for AI or system consumption and secondarily for humans. Use when designing or implementing a JSON-first CLI with an MCP-ready contract seam, where every command supports machine output, errors are typed and actionable, mutating commands are auditable via cor

  • designing-cli-simulators

    Design stateful simulators for AI-facing CLIs that integrate with devices, networks, services, or databases. Use when a CLI needs realistic simulator-backed testing, configurable fault injection, persistent state, and a swappable adapter boundary so the same business logic runs against live and simu

  • reviewing-ai-clis

    Critically review an existing CLI, MCP wrapper, or CLI plan for AI-first contract quality. Use when evaluating whether a CLI is JSON-first, has an MCP-ready contract seam without JSON reshaping, auditably models state changes, uses stateful simulator-backed testing for external integrations, and ret

View source on GitHub

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