agentskills.codes
MI

mixer-scene-contract

Design the MixerSceneIntent, approval state, JSON schema, CLI examples, audit entries, and tests for AI-Controlled Party mixer/Soundcraft Ui24R scene arming. Use whenever a task mentions mixer scenes, Ui24R snapshots/cues, operator-approved mixer control, show-director contract updates, schema updat

Install

mkdir -p .claude/skills/mixer-scene-contract && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14434" && unzip -o skill.zip -d .claude/skills/mixer-scene-contract && rm skill.zip

Installs to .claude/skills/mixer-scene-contract

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Design the MixerSceneIntent, approval state, JSON schema, CLI examples, audit entries, and tests for AI-Controlled Party mixer/Soundcraft Ui24R scene arming. Use whenever a task mentions mixer scenes, Ui24R snapshots/cues, operator-approved mixer control, show-director contract updates, schema updates, dry-run CLI shape, or follow-ups that revise this contract.
363 charsno explicit “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)

About this skill

mixer-scene-contract

Design the structured contract for approved mixer scene changes. This skill is for design/spec work, not implementation.

Context to read

  • src/automation/showDirectorSchema.ts
  • src/automation/showDirectorRuntime.ts
  • src/cli/agent.ts around show-director
  • tests/unit/showDirector.test.ts
  • tests/unit/cliAgent.test.ts

Design rules

  • Keep mixer scene changes separate from generic arm_effect.
  • The MVP operation is "arm scene/cue for approval", not autonomous execution.
  • Require explicit names or IDs: show_name, snapshot_name, cue_name, scene_id, or setlist_ref. Do not design fuzzy live lookup as execution.
  • Preserve blocked/operator-only semantics for mixer_gain, pa_mute, and audio_routing.
  • Every accepted request needs an audit entry with request, intent, decision, approval ID, operator, and adapter target.

Output

Write _workspace/ai-party-mixer/01_contract.md with:

  1. proposed schema fields and examples;
  2. approval and audit model;
  3. CLI dry-run examples;
  4. mapping to action plans;
  5. compatibility notes;
  6. unit-test checklist.

Quality bar

The result should be specific enough that a builder can implement it without asking what fields exist or how approval flows.

Search skills

Search the agent skills registry