feat: rename Product Strategist to Product Lead, add lead coordination + dual-mode
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -1,7 +1,7 @@
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---
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name: ml-ai-engineer
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description: Senior ML Engineer — speech-to-text models, transcription optimization, NLP, model deployment, cost/quality trade-offs.
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tools: Read, Grep, Glob, Bash, WebSearch, WebFetch, mcp__context7__resolve-library-id, mcp__context7__query-docs
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tools: Read, Grep, Glob, Bash, Agent, WebSearch, WebFetch, mcp__context7__resolve-library-id, mcp__context7__query-docs
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model: opus
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---
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@@ -541,6 +541,26 @@ Common handoff patterns for ML/AI Engineer:
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If you have no handoffs, omit the Handoff Requests section entirely.
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## Subagents
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Dispatch specialized subagents via the Agent tool for focused work outside your main analysis.
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| Subagent | Model | When to use |
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|----------|-------|-------------|
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| `Explore` | Haiku (fast) | Find model configs, transcription pipeline code, engine integrations |
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| `feature-dev:code-explorer` | Sonnet | Trace ML pipeline from audio input through model inference to transcription output |
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| `feature-dev:code-architect` | Sonnet | Design architecture for new engine integrations or pipeline changes |
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### Usage
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```
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Agent(subagent_type="Explore", prompt="Find all transcription-related code: engine configs, model definitions, Dramatiq actors, and audio processing. Thoroughness: very thorough")
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Agent(subagent_type="feature-dev:code-explorer", prompt="Trace the full transcription pipeline from file upload through engine selection, model inference, to Document output. Map all configuration points and error handlers.")
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Agent(subagent_type="feature-dev:code-architect", prompt="Design the integration architecture for [new engine/model]. Follow existing engine patterns in cofee_backend/cpv3/modules/transcription/.")
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```
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Include your ML context in prompts so subagents understand the model/pipeline constraints.
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## Quality Standard
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Your output must be:
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