aws-sdk-pandas
Routes AWS SDK for pandas (awswrangler) workflows across S3 lakehouse data, Athena/Glue catalogs, SQL connectors, runtime configuration, and AWS service…
Skill by VectorSpaceLab
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-aws-sdk-pandas
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About
Use cases: backend, cloud, data
Reviews
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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/aws-sdk-pandas
What's inside
- Skill name
aws-sdk-pandas- Description
- Routes AWS SDK for pandas (awswrangler) workflows across S3 lakehouse data, Athena/Glue catalogs, SQL connectors, runtime configuration, and AWS service integrations.
- License
- Apache-2.0
- Metadata
- disco-role: operating
- Instructions
- 47 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (30)
- SKILL.md
- repo-provenance.md · references/
- repo-routing-metadata.json · references/
- runtime-overview.md · references/
- troubleshooting.md · references/
- check_runtime.py · scripts/
- SKILL.md · sub-skills/catalog-and-query/
- api-reference.md · sub-skills/catalog-and-query/references/
- troubleshooting.md · sub-skills/catalog-and-query/references/
- workflows.md · sub-skills/catalog-and-query/references/
- smoke_catalog_moto.py · sub-skills/catalog-and-query/scripts/
- SKILL.md · sub-skills/runtime-and-config/
- configuration.md · sub-skills/runtime-and-config/references/
- troubleshooting.md · sub-skills/runtime-and-config/references/
- SKILL.md · sub-skills/s3-lakehouse/
- api-reference.md · sub-skills/s3-lakehouse/references/
- troubleshooting.md · sub-skills/s3-lakehouse/references/
- workflows.md · sub-skills/s3-lakehouse/references/
- smoke_s3_moto.py · sub-skills/s3-lakehouse/scripts/
- smoke_s3_vectors_mocked.py · sub-skills/s3-lakehouse/scripts/
- SKILL.md · sub-skills/service-integrations/
- api-reference.md · sub-skills/service-integrations/references/
- troubleshooting.md · sub-skills/service-integrations/references/
- workflows.md · sub-skills/service-integrations/references/
- smoke_dynamodb_moto.py · sub-skills/service-integrations/scripts/
- smoke_service_basics.py · sub-skills/service-integrations/scripts/
- SKILL.md · sub-skills/sql-connectors/
- api-reference.md · sub-skills/sql-connectors/references/
- troubleshooting.md · sub-skills/sql-connectors/references/
- workflows.md · sub-skills/sql-connectors/references/
SKILL.md (first lines)
# AWS SDK for pandas Use this skill when a request names `awswrangler`, `aws-sdk-pandas`, `Pandas on AWS`, or a `wr.*` API from the repository. This repo is a Python API package, not a CLI tool. The first questions are usually: - how to install the right extras, - how to import and verify the runtime, - which AWS service family the user is working with, - and which AWS credentials, region, or optional backend are required. Read `references/runtime-overview.md` first for install, extras, and runtime facts. Read `references/troubleshooting.md` when import errors, missing extras, region issues, or AWS service prerequisites are blocking you. Read `references/repo-provenance.md` before deciding whether this skill is current for the checkout. Run `scripts/check_runtime.py` after installation to confirm importability and optional dependency availability. ## Route map | If the user asks about... | Read this sub-skill | | --- | --- | | Installing, importing, setting `WR_*` env vars, switching `wr.engine` / `wr.memory_format`, or debugging missing extras | `sub-skills/runtime-and-config/SKILL.md` | | `wr.s3.*` object, file-format, dataset, S3 Tables, or S3 Vectors workflows | `sub-skills/s3-lakehouse/SKILL.md` | | `wr.catalog.*`, `wr.athena.*`, `wr.data_quality.*`, or `wr.cleanrooms.*` workflows | `sub-skills/catalog-and-query/SKILL.md` | | `wr.redshift.*`, `wr.data_api.*`, `wr.mysql.*`, `wr.postgresql.*`, `wr.sqlserver.*`, or `wr.oracle.*` workflows | `sub-skills/sql-connectors/SKILL.md` | | `wr.dynamodb.*`, `wr.timestream.*`, `wr.opensearch.*`, `wr.neptune.*`, `wr.quicksight.*`, `wr.cloudwatch.*`, `wr.emr.*`, `wr.emr_serverless.*`, `wr.sts.*`, `wr.secretsmanager.*`, or `wr.chime.*` workflows | `sub-skills/service-integrations/SKILL.md` | ## Shared operating pattern 1. Confirm the runtime with `scripts/check_runtime.py` when the package was just installed or the environment changed. 2. Pick the service-family sub-skill that matches the `wr.*` API surface. 3. Use `wr.config` and `boto3.Session` for defaults, region, and credentials. 4. Install only the extras needed for the chosen workflow family. 5. Keep live AWS operations separate from local smoke checks; if a workflow needs credentials or managed AWS resources, say so early. ## Common signals - `NoCredentialsError` or `NoRegionError` usually means the AWS session is not configured. - `Missing optional dependency ...` usually means the relevant extra was not installed. - Ray/Modin questions belong in `runtime-and-config` even when they affect `wr.s3` or `wr.athena` calls. - Live AWS service prerequisites and IAM needs belong in the nearest service sub-skill, not here. ## Shared references and scripts - `references/runtime-overview.md` for install commands, supported versions, and optional extras. - `references/troubleshooting.md` for cross-cutting import, dependency, and credential failures. - `scripts/check_runtime.py` for a safe import/config/extra check.
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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Cite this page
aws-sdk-pandas skill. Agent Mart. https://agentmart.dev/skills/vectorspacelab-aws-sdk-pandas (last updated 2026-10-24)