dvc
Use the DVC repository skill for data versioning, pipelines, experiments, remotes/cache, metrics/params/plots, Python API usage, and DVC codebase maintenance.
Skill by VectorSpaceLab
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/vectorspacelab-dvc
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: backend, data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/dvc
What's inside
- Skill name
dvc- Description
- Use the DVC repository skill for data versioning, pipelines, experiments, remotes/cache, metrics/params/plots, Python API usage, and DVC codebase maintenance.
- License
- Apache-2.0
- Metadata
- disco-role: operating
- Instructions
- 43 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (36)
- SKILL.md
- repo-provenance.md · references/
- repo-routing-metadata.json · references/
- troubleshooting.md · references/
- check_dvc_install.py · scripts/
- SKILL.md · sub-skills/data-and-pipelines/
- file-formats.md · sub-skills/data-and-pipelines/references/
- troubleshooting.md · sub-skills/data-and-pipelines/references/
- workflows.md · sub-skills/data-and-pipelines/references/
- plan_dvc_pipeline.py · sub-skills/data-and-pipelines/scripts/
- SKILL.md · sub-skills/experiments/
- api-reference.md · sub-skills/experiments/references/
- troubleshooting.md · sub-skills/experiments/references/
- workflows.md · sub-skills/experiments/references/
- inspect_experiments.py · sub-skills/experiments/scripts/
- SKILL.md · sub-skills/metrics-params-plots/
- api-reference.md · sub-skills/metrics-params-plots/references/
- data-formats.md · sub-skills/metrics-params-plots/references/
- troubleshooting.md · sub-skills/metrics-params-plots/references/
- workflows.md · sub-skills/metrics-params-plots/references/
- summarize_metrics_params.py · sub-skills/metrics-params-plots/scripts/
- SKILL.md · sub-skills/python-api/
- api-reference.md · sub-skills/python-api/references/
- filesystem-access.md · sub-skills/python-api/references/
- troubleshooting.md · sub-skills/python-api/references/
- dvc_api_smoke.py · sub-skills/python-api/scripts/
- SKILL.md · sub-skills/remotes-and-cache/
- configuration.md · sub-skills/remotes-and-cache/references/
- remote-workflows.md · sub-skills/remotes-and-cache/references/
- troubleshooting.md · sub-skills/remotes-and-cache/references/
- check_remote_support.py · sub-skills/remotes-and-cache/scripts/
- SKILL.md · sub-skills/repo-development/
- development-guide.md · sub-skills/repo-development/references/
- test-selection.md · sub-skills/repo-development/references/
- troubleshooting.md · sub-skills/repo-development/references/
- select_tests.py · sub-skills/repo-development/scripts/
SKILL.md (first lines)
# DVC Repo Skill Use this skill when a task names DVC, Data Version Control, `dvc` CLI commands, the `dvc` Python package, DVC pipeline files, DVC experiments, or maintenance of the DVC codebase itself. ## Install And Smoke Check - End-user install: `pip install dvc` for core local/HTTP workflows. - Optional remotes: install only the needed extra, such as `pip install 'dvc[s3]'`, `pip install 'dvc[gs]'`, `pip install 'dvc[azure]'`, `pip install 'dvc[ssh]'`, `pip install 'dvc[gdrive]'`, `pip install 'dvc[webdav]'`, `pip install 'dvc[webhdfs]'`, `pip install 'dvc[hdfs]'`, or `pip install 'dvc[oss]'`. - Development install: use an editable checkout and install test/lint extras only when maintaining DVC itself. - Minimal checks: `python -c "import dvc; print(dvc.__version__)"`, `dvc --help`, and `dvc version`. ## Route By Task - `sub-skills/data-and-pipelines/SKILL.md`: use for `dvc init`, `dvc add`, `.dvc` files, `dvc.yaml`, `dvc.lock`, `dvc stage add`, `dvc repro`, `dvc status`, `dvc diff`, `dvc dag`, `.dvcignore`, and safe pipeline planning. - `sub-skills/experiments/SKILL.md`: use for `dvc exp run/show/diff/apply/branch/save/push/pull/remove/rename/clean`, queued sweeps, Hydra/set-param runs, and experiment table troubleshooting. - `sub-skills/remotes-and-cache/SKILL.md`: use for `dvc remote`, storage extras, `push`, `pull`, `fetch`, cloud status, cache configuration, `gc`, `unprotect`, `import-url`, `get-url`, and missing backend/credential failures. - `sub-skills/metrics-params-plots/SKILL.md`: use for `dvc metrics`, `dvc params`, `dvc plots`, stage metric/plot/param declarations, JSON/Markdown/Vega reporting, and API summaries of metrics or params. - `sub-skills/python-api/SKILL.md`: use for `dvc.api.open`, `read`, `get_url`, `DVCFileSystem`, `Repo` automation, and Python exception handling around DVC data access. - `sub-skills/repo-development/SKILL.md`: use only when editing or reviewing the DVC source repository, selecting focused tests, changing CLI command internals, updating package metadata, or maintaining contribution workflows. ## Cross-Cutting References - Read `references/troubleshooting.md` for install/import, optional extra, no-repo, remote/cache, and command-routing failures that span several sub-skills. - Read `references/repo-provenance.md` before deciding whether this skill matches a current DVC checkout or should be refreshed. - Read `references/repo-routing-metadata.json` only when importing this skill through DisCo's managed repo-skills-router. - Run `scripts/check_dvc_install.py --help` for a safe local package and CLI smoke-check helper. ## Decision Pattern 1. Decide whether the task is end-user DVC usage, Python API usage, or DVC codebase maintenance. 2. Route to the most specific sub-skill before reading long references. 3. Prefer dry-run/help/config/API inspection before commands that mutate workspace data, remote storage, cache, Git refs, or experiment queues. 4. Install only the optional remote/backend extra required by the task; do not default to broad `dvc[all]`. 5. For original DVC repository tests or examples, use `repo-development` guidance; public runtime workflows should not depend on the original checkout. ## Safety Boundaries - Treat cloud remotes, Studio, network URLs, credentials, and large data transfers as opt-in operations. - Use `dvc repro --dry`, helper scripts, or CLI `--help` before expensive or destructive workflow changes. - Do not assume optional remote backends are installed just because core `dvc` imports. - Do not use private `dvc.*` internals for user projects when a public CLI, `dvc.api`, or `Repo` method covers the task.
From VectorSpaceLab/AREX-Skill, Apache-2.0.
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Signals
- Stars
- 341
- Forks
- 26
- Open issues
- 0
- Last commit (this folder)
- Aug 26, 2026 (2 months ago)
- Last release
- Sep 2, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/VectorSpaceLab/AREX-Skill
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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dagster
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Use when working with Dagster OSS: assets, jobs, Definitions, config/resources, schedules/sensors, automation, CLI/local development, deployment operations…
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Cite this page
dvc skill. Agent Mart. https://agentmart.dev/skills/vectorspacelab-dvc (last updated 2026-10-24)