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SKILL verified Apache-2.0 Self-run

Tdmcp Ai Party Mixer Design

skill-hybridlabor-api-bdb-dev-optimized-agent-skills-tdmcp-ai-party-mixer-design · by hybridlabor-api

Orchestrates the AI-Controlled Party mixer/Soundcraft Ui24R design team. Use whenever the user wants to design, update, refine, re-run, or implement-plan the Soundcraft Ui24R scene-arming expansion, mixer-aware AI party, operator-approved mixer cues, snapshots/cues/show control, Companion bridge, or any follow-up based on prior mixer design results. Produces a spec for tdmcp-pipeline; does not im…

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Install

$ agentstack add skill-hybridlabor-api-bdb-dev-optimized-agent-skills-tdmcp-ai-party-mixer-design

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

tdmcp-ai-party-mixer-design

Coordinate the mixer-aware AI-Controlled Party design team. This harness produces an implementation-ready spec for the operator-approved Soundcraft Ui24R scene-arming MVP. It does not build runtime code directly.

Execution mode: sub-agent fan-out -> lead synthesis

This repo's existing harnesses run as sub-agents in this environment. Use parallel sub-agents for the specialist lanes, then synthesize in one lead pass. All agent calls use model: "opus".

Agent roster

| Agent | Skill | Output | | --- | --- | --- | | mixer-scene-contract-architect | mixer-scene-contract | _workspace/ai-party-mixer/01_contract.md | | soundcraft-ui24r-adapter-architect | soundcraft-ui24r-adapter | _workspace/ai-party-mixer/02_adapter.md | | mixer-policy-safety-qa | mixer-policy-safety | _workspace/ai-party-mixer/03_policy_qa.md | | ai-party-mixer-runbook-writer | ai-party-mixer-runbook | _workspace/ai-party-mixer/04_runbook_docs.md | | ai-party-mixer-lead | this orchestrator context | _workspace/ai-party-mixer/05_synthesis_design.md and optional durable spec |

Phase 0 - context check

  1. Check whether _workspace/ai-party-mixer/ exists.
  2. Decide run mode:
  • no directory -> fresh run;
  • directory exists + user asks to revise one part -> partial re-run of only

affected specialists, then lead synthesis;

  • directory exists + materially new objective -> move it to

_workspace/ai-party-mixer_/, then fresh run.

  1. Read the current AI-Controlled Party docs/spec and show-director schema

before spawning specialists.

Phase 1 - prepare

Create _workspace/ai-party-mixer/00_input.md with:

  • user objective;
  • selected MVP mode: operator-approved scene arming;
  • known mixer: Soundcraft Ui24R;
  • explicit non-goals: gain, PA mute, routing, channel edits, autonomous hardware

execution;

  • questions or assumptions that still need bench validation.

Phase 2 - specialist fan-out

Spawn the four specialist agents in one message when possible. Each prompt must:

  • tell the agent to read its named skill first;
  • name the exact output file it owns;
  • remind it to preserve AI-Controlled Party safety constraints;
  • ask for concise return summary, with the real substance in its file.

Phase 3 - synthesis

The lead reads 00_input.md plus all specialist artifacts and writes 05_synthesis_design.md. The synthesis must include:

  • MVP scope and non-goals;
  • architecture diagram/data flow;
  • MixerSceneIntent and approval contract;
  • Soundcraft adapter plan with backend recommendation;
  • policy rules and bypass tests;
  • docs/runbook tasks;
  • implementation plan handoff prompt for tdmcp-pipeline.

If the user asks for a durable spec, also write docs/superpowers/specs/YYYY-MM-DD-ai-party-ui24r-scene-arming-design.md.

Phase 4 - handoff

Report the design and ask whether to pass it to tdmcp-pipeline for implementation. Do not implement runtime code inside this harness.

Data flow

00_input
  -> 01_contract
  -> 02_adapter
  -> 03_policy_qa
  -> 04_runbook_docs
  -> 05_synthesis_design
  -> optional docs/superpowers/specs/... design
  -> tdmcp-pipeline handoff

Error handling

  • One missing specialist artifact: synthesize from available evidence and record

the gap.

  • Unverified Soundcraft protocol detail: keep as bench-validation requirement.
  • Safety conflict: choose the stricter policy and list the disputed area.
  • User wants implementation now: finish the design artifact first, then hand off

to tdmcp-pipeline.

Test scenarios

Normal: user asks to design the Soundcraft Ui24R expansion -> fresh _workspace/ai-party-mixer/ -> four specialist artifacts -> lead synthesis -> implementation-ready spec/handoff.

Partial follow-up: user says "troca Companion por Node bridge" -> re-run only soundcraft-ui24r-adapter-architect, then mixer-policy-safety-qa if the backend risk changed, then lead synthesis.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.