sickn33/antigravity-awesome-skills/azure-storage-file-datalake-py
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Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations.
Install
npx vskill@latest install sickn33/antigravity-awesome-skills/azure-storage-file-datalake-pySKILL.md
Azure Data Lake Storage Gen2 SDK for Python
Hierarchical file system for big data analytics workloads.
Installation
Environment Variables
Authentication
Client Hierarchy
| Client | Purpose | |
|---|---|---|
DataLakeServiceClient | Account-level operations | |
FileSystemClient | Container (file system) operations | |
DataLakeDirectoryClient | Directory operations | |
DataLakeFileClient | File operations |
These are independent fragments, not a run-all script. Confirm account/filesystem/path and protect existing data before writes, renames, recursive ACL changes or deletes. Never use production placeholders as cleanup targets. Bound recursive listings/download bytes and use non-overwriting local outputs. Recursive ACL updates can partially fail: inspect counters/failure details and resume only with exact scope. Close async credentials as well as clients in failure paths; upload success does not establish business correctness.
File System Operations
Directory Operations
File Operations
Upload File
Download File
Delete File
List Contents
File/Directory Properties
Access Control (ACL)
Async Client
Best Practices
- Use hierarchical namespace for file system semantics
- Use `append_data` + `flush_data` for large file uploads
- Review ACL scope: default ACLs affect new descendants; existing descendants require a separately authorized recursive operation
- Use async client for high-throughput scenarios
- Use `get_paths` with `recursive=True` for full directory listing
- Set metadata for custom file attributes
- Consider Blob API for simple object storage use cases
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/azure-storage-file-datalake-py/SKILL.md
Popularity
- Repository stars
- 23,662
- Repository forks
- 4,072
- Repository npm downloads, 7 days
- 11,772
- 7-day trend score
- 72
Stars and forks are for the whole GitHub repository, not this skill alone. Downloads are for the repository's npm package. Refreshed 17 Mar 2026, 7 months ago.
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