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SKILL verified MIT Self-run

Dask

skill-g1joshi-agent-skills-dask · by G1Joshi

Dask parallel computing library. Use for scaling pandas.

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Install

$ agentstack add skill-g1joshi-agent-skills-dask

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Dask

Dask scales Python. It looks like Pandas/NumPy but runs on clusters. 2025 updates focus on High Performance Shuffle and GPU integration.

When to Use

  • Big Data: When data > RAM but < BigQuery scale.
  • Cluster Computing: Utilizing a Kubernetes cluster for Python functions.
  • Xarray: Backend for geospatial data.

Core Concepts

Collections

dask.dataframe, dask.array, dask.bag.

Scheduler

Decides where to run tasks (Local Threads, Processes, or Distributed Cluster).

Dashboard

Real-time visualization of task progress (port 8787).

Best Practices (2025)

Do:

  • Use dask-expr: The new query optimization engine for Dask DataFrames.
  • Use Parquet: CSVs are distinctively slow in distributed settings.

Don't:

  • Don't use for small data: The overhead of the scheduler makes it slower than Pandas for <1GB.

References

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.

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