Skip to main content
Run any Skill in Manus
with one click
GitHub repository

bashgym

bashgym contains 7 collected skills from GhostPeony, with repository-level occupation coverage and site-owned skill detail pages.

skills collected
7
Stars
6
updated
2026-02-15
Forks
0
Occupation coverage
4 occupation categories · 100% classified
repository explorer

Skills in this repository

hardware
network-and-computer-systems-administrators

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

2026-02-15
orchestrator
software-developers

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
data-scientists-152051

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
data-scientists-152051

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
network-and-computer-systems-administrators

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
software-quality-assurance-analysts-and-testers

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
data-scientists-152051

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