gemini-skill
Automates Gemini web interactions through MCP tools, including image generation, text conversations, model switching, image uploads and downloads, session management, and troubles…
Automatisierung
deepswarm
Orchestrates parallel API workers for long-running or multi-turn batch tasks, with automatic worker, stagger, and batch sizing plus optional tiered model delegation and checkpointing.
★ 122
GitHub Stars
78
Qualitätsbewertung
1
Dateien
About this Skill
Use when running parallel AI workers for any long-running or multi-turn batch API task. Auto-calculates optimal workers + stagger. Supports tiered delegation (V4 Pro orchestrator → V4 Flash workers). 99.95% API success rate at scale.
Anwendungsfälle
- Batch content generation
- Parallel translation or summarization
- Large-scale classification
- Multi-turn API workflows
- Crash-resilient batch processing
Funktionen
- Automatic worker and stagger optimization
- Tiered orchestrator and worker model routing
- Multi-turn conversation support
- Checkpointed batch execution
- Output filtering and validation
Anforderungen
- Python 3
- Hermes CLI
- API credentials for the orchestrator and worker models
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Skill files
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