Volc
Operate or explain 火山引擎/Volcengine Machine Learning Platform from a local shell or remote development machine. Use for configuring the volc CLI; listing, inspecting, starting, stopping, or rebooting ML development instances; SSH-oriented development workflows; submitting custom training or Slurm sbatch jobs with volc ml_task; monitoring task status, logs, instances, and resource usage; exporting or uploading task code and configs; choosing resource queues and images; or locating official Volcengine ML Platform documentation.From its SKILL.md
npx -y skills add LioEinaudi/volc-skill --skill volcAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
3.7 KB, 745 tokens by cl100k_base, as published. Nobody here has run it
Volc ML Platform
Workflow
- Determine whether the user wants an explanation, command examples, or live execution. Do not execute commands when the user only asks for instructions or a command template.
- Confirm the installed CLI surface before relying on command syntax:
volc versionvolc configure --helpvolc ml_devinstance --helpvolc ml_task --help
- Read references/cli-commands.md for exact flags and reusable templates.
- Read references/ml-platform-docs.md when official documentation, current product behavior, or a doc citation is needed.
- Inspect current state with list/get/status/log commands before proposing a state-changing action.
- Keep unresolved values as explicit placeholders. Never invent instance IDs, task IDs, queue names, image IDs, regions, endpoints, or credentials.
- Distinguish clearly between commands that were executed and commands that are only suggested.
Remote Development Workflow
For requests such as "在远程开发机起任务":
- Locate and inspect the development instance with
volc ml_devinstance listandvolc ml_devinstance get --id <devinstance-id>. - If it is stopped, show or run
volc ml_devinstance start --id <devinstance-id>only after the user confirms the instance and cost impact. - Use the SSH command or endpoint provided by the platform. Do not guess the host, port, or username.
- From the remote workspace, verify the code path, entrypoint, image, and resource queue before submitting with either:
volc ml_task submitfor custom jobs.volc ml_task sbatchfor Slurm scripts.
- Monitor with
volc ml_task list,volc ml_task get,volc ml_task logs -f,volc ml_task instance list, andvolc ml_task top.
Task Submission
- Prefer a reproducible config generated by
volc ml_task template --path <file> --example true, then customize it before submission. - Validate the entrypoint, user-code path, image, resource queue, framework, node count, and GPU requirements before submitting.
- Show the final command and unresolved placeholders when required values are missing; do not submit a partially inferred job.
- Use
volc ml_task submitfor custom jobs andvolc ml_task sbatchfor Slurm scripts. Verify each subcommand with--helpbecause available flags can vary by CLI version.
Guardrails
- Confirm before state-changing, destructive, or cost-impacting commands, including starting or stopping development instances, rebooting, cancelling or deleting resources, and submitting long-running jobs.
- Do not print, request, store, or commit AK/SK credentials. Use an existing profile or placeholders such as
$VOLC_AK,$VOLC_SK,$VOLC_REGION, and$VOLC_PROFILE. - Prefer
--resource_queue_nameover deprecated--resource_group_id; use--resource_queue_idonly when a queue name is unavailable. - Remember
--user_code_path/--cpuploads files to TOS;.gitignoreunder that path affects uploaded code. - For symlinks, choose explicitly:
--copy-linkscopies referents, while--linksrecreates symlinks. - Limit log output to what is needed for diagnosis and avoid reproducing credentials or sensitive environment values.
What ships with it: 3 files
11.9 KB alongside SKILL.md
agents/
- openai.yaml223 B
references/
- cli-commands.md7.5 KB
- ml-platform-docs.md4.2 KB