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GhostPeony
Perfil de criador do GitHub

GhostPeony

Visão por repositório de 10 skills coletadas em 3 repositórios do GitHub.

skills coletadas
10
repositórios
3
atualizado
2026-03-27
explorador de repositórios

Repositórios e skills representativas

hardware
Administradores de redes e sistemas de computador

Read and control I2C and SPI peripherals on Sipeed boards (LicheeRV Nano, MaixCAM, NanoKVM).

2026-02-15
orchestrator
Desenvolvedores de software

Submit development specs, approve execution plans, monitor workers, retry failed tasks, check job status, and manage orchestration jobs. Use when asked to start a development job, check worker progress, approve a plan, retry something, or list orchestrator jobs.

2026-02-15
factory
Cientistas de dados

Generate synthetic training data, manage seeds, preview synthesis jobs, and work with the data factory. Use when asked to generate synthetic data, create training examples, augment a dataset, manage seeds, or check factory job status.

2026-02-15
models
Cientistas de dados

Browse, compare, evaluate, and manage trained models. View leaderboard, trends, lineage, and artifacts. Deploy models to Ollama. Use when asked about models, model comparison, which model is best, model evaluation, deploying a model, or downloading a model.

2026-02-15
system
Administradores de redes e sistemas de computador

Check BashGym system status, GPU utilization, hardware info, and aggregate statistics. Use when asked about system health, what's running, GPU usage, memory, disk space, or general system stats.

2026-02-15
traces
Analistas de garantia de qualidade de software e testadores

Browse, promote, demote, classify, and generate training examples from Claude Code execution traces. Use when asked about traces, gold traces, trace counts, promoting or demoting traces, generating examples, exporting training data, or syncing traces.

2026-02-15
training
Cientistas de dados

Start, stop, pause, resume, and monitor model training runs. Check training progress, view metrics, and get GPU utilization during training. Use when asked to train a model, check training status, view loss curves, stop a run, or see training logs.

2026-02-15
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