Atlan Pte Ltd. avatar

Atlan Pte Ltd.

Official

@atlanhq · India

0Followers
|
75Public Repos
|
24Published Skills

Democratizing data for teams around the world :sparkles: Humans of data, welcome home :heart:

Skills Distribution
DomainData Systems...Metadata Governance (40%)Connector Engineer.. (30%)Data Integration L.. (30%)

Agent Skills by Atlan Pte Ltd.

Showing 24 vetted skills indexed across 2 GitHub repositories.

atlanhqatlanhq
26

marketplace-packages-incremental

Configure marketplace connector YAML templates for incremental data extraction workflows.

Official
Intermediate
atlanhqatlanhq
26

incremental-migrate

Analyze connector codebases and generate incremental extraction components for Atlan applications.

Official
Advanced
atlanhqatlanhq
26

implement-incremental-extraction

Implements incremental metadata extraction workflows for SQL database connectors.

Official
Advanced
atlanhqatlanhq
26

make-contract

Automate creation, validation, and generation of Atlan app contracts.

Official
Intermediate
atlanhqatlanhq
26

signal-over-noise

Audit Python codebases for silent failures and logging anti-patterns.

Official
Advanced
atlanhqatlanhq
26

local-dev-bootstrap

Verify prerequisites, generate environment files, and start Temporal and Dapr services.

Official
Intermediate
atlanhqatlanhq
26

audit-consumers

Identify GitHub repositories using application_sdk and evaluate SDK version compatibility and risks.

Official
Intermediate
atlanhqatlanhq
26

add-mcp-tool

Expose @task methods as MCP tools via the /mcp endpoint.

Official
Basic
atlanhqatlanhq
26

add-entrypoint

Adds @entrypoint methods with data contracts and wired tasks to App subclasses.

Official
Advanced
atlanhqatlanhq
26

sdk-evolution

Automate SDK code review, issue detection, and self-updating improvements.

Official
Advanced
atlanhqatlanhq
26

scaffold-app

Generate an Atlan connector project scaffold with configuration files and Dockerfile.

Official
Intermediate
atlanhqatlanhq
26

sdk-review

Coordinate multi-model AI agents for end-to-end PR review and conflict resolution.

Official
Advanced
atlanhqatlanhq
26

upgrade-v3

Automates upgrading connector codebases from SDK v2 to v3, rewriting imports and migrating configs and tests.

Official
Advanced
atlanhqatlanhq
26

capability-manifest

Extract and verify SDK symbols and contracts using griffe and Python scripting.

Official
Intermediate
atlanhqatlanhq
26

typed-failures

Convert untyped Python exceptions into SDK-defined AppError subclasses.

Official
Advanced
atlanhqatlanhq
4

atlan-fact-verification-gate

Verify Atlan app behavior against SDK and CLI references.

Official
Advanced
atlanhqatlanhq
4

atlan-app-scaffold-standard

Scaffold new Atlan apps from CLI templates with progressive discovery.

Official
Advanced
atlanhqatlanhq
4

atlan-sql-connector-patterns

Select and implement SQL connector patterns for metadata extraction workflows.

Official
Intermediate
atlanhqatlanhq
4

atlan-cli-run-test-loop

Automate Atlan app run/test loops with CLI commands and readiness checks.

Official
Advanced
atlanhqatlanhq
4

atlan-workflow-args-secrets-state

Retrieve workflow arguments and credentials securely via Atlan SDK patterns.

Official
Intermediate
atlanhqatlanhq
4

atlan-review-doc-sync

Automate findings-first review of Atlan app changes and sync documentation.

Official
Basic
atlanhqatlanhq
4

atlan-e2e-contract-validator

Generate and validate e2e_case_contract.yaml files for Atlan workflows.

Official
Intermediate
atlanhqatlanhq
4

atlan-cli-install-configure

Install the Atlan CLI only when missing and configure tenant authentication.

Official
Advanced
atlanhqatlanhq
4

atlan-sdk-objectstore-io-defaults

Enforce Atlan SDK objectstore IO defaults for output paths and file prefixes.

Official
Basic

Frequently Asked Questions About Atlan Pte Ltd.

FAQPage Schema
What specific tasks can engineers perform using these capabilities?

Engineers can scaffold new connector projects, implement incremental metadata extraction for SQL databases, validate data contracts, and perform automated code reviews to ensure compliance with internal SDK standards and versioning requirements.

Which personas benefit most from these technical resources?

Data engineers, platform architects, and integration developers focused on building, maintaining, and scaling metadata connectors within the Atlan ecosystem benefit from these standardized development and validation patterns.

What are the primary prerequisites for deploying these connector patterns?

Deployment requires an active Atlan tenant, configured authentication credentials, and a local environment capable of running containerized services like Temporal and Dapr for managing metadata extraction processes.