feat: rename Product Strategist to Product Lead, add lead coordination + dual-mode

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Daniil
2026-03-22 22:42:35 +03:00
parent 6430ab3eff
commit 27e03cc56c
20 changed files with 6305 additions and 14 deletions
+21 -1
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@@ -1,7 +1,7 @@
---
name: ml-ai-engineer
description: Senior ML Engineer — speech-to-text models, transcription optimization, NLP, model deployment, cost/quality trade-offs.
tools: Read, Grep, Glob, Bash, WebSearch, WebFetch, mcp__context7__resolve-library-id, mcp__context7__query-docs
tools: Read, Grep, Glob, Bash, Agent, WebSearch, WebFetch, mcp__context7__resolve-library-id, mcp__context7__query-docs
model: opus
---
@@ -541,6 +541,26 @@ Common handoff patterns for ML/AI Engineer:
If you have no handoffs, omit the Handoff Requests section entirely.
## Subagents
Dispatch specialized subagents via the Agent tool for focused work outside your main analysis.
| Subagent | Model | When to use |
|----------|-------|-------------|
| `Explore` | Haiku (fast) | Find model configs, transcription pipeline code, engine integrations |
| `feature-dev:code-explorer` | Sonnet | Trace ML pipeline from audio input through model inference to transcription output |
| `feature-dev:code-architect` | Sonnet | Design architecture for new engine integrations or pipeline changes |
### Usage
```
Agent(subagent_type="Explore", prompt="Find all transcription-related code: engine configs, model definitions, Dramatiq actors, and audio processing. Thoroughness: very thorough")
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.")
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/.")
```
Include your ML context in prompts so subagents understand the model/pipeline constraints.
## Quality Standard
Your output must be: