Atlan Pte Ltd.
Official@atlanhq · India
Democratizing data for teams around the world :sparkles: Humans of data, welcome home :heart:
Agent Skills by Atlan Pte Ltd.
Showing 24 vetted skills indexed across 2 GitHub repositories.
marketplace-packages-incremental
Configure marketplace connector YAML templates for incremental data extraction workflows.
incremental-migrate
Analyze connector codebases and generate incremental extraction components for Atlan applications.
implement-incremental-extraction
Implements incremental metadata extraction workflows for SQL database connectors.
make-contract
Automate creation, validation, and generation of Atlan app contracts.
signal-over-noise
Audit Python codebases for silent failures and logging anti-patterns.
local-dev-bootstrap
Verify prerequisites, generate environment files, and start Temporal and Dapr services.
audit-consumers
Identify GitHub repositories using application_sdk and evaluate SDK version compatibility and risks.
add-mcp-tool
Expose @task methods as MCP tools via the /mcp endpoint.
add-entrypoint
Adds @entrypoint methods with data contracts and wired tasks to App subclasses.
sdk-evolution
Automate SDK code review, issue detection, and self-updating improvements.
scaffold-app
Generate an Atlan connector project scaffold with configuration files and Dockerfile.
sdk-review
Coordinate multi-model AI agents for end-to-end PR review and conflict resolution.
upgrade-v3
Automates upgrading connector codebases from SDK v2 to v3, rewriting imports and migrating configs and tests.
capability-manifest
Extract and verify SDK symbols and contracts using griffe and Python scripting.
typed-failures
Convert untyped Python exceptions into SDK-defined AppError subclasses.
atlan-fact-verification-gate
Verify Atlan app behavior against SDK and CLI references.
atlan-app-scaffold-standard
Scaffold new Atlan apps from CLI templates with progressive discovery.
atlan-sql-connector-patterns
Select and implement SQL connector patterns for metadata extraction workflows.
atlan-cli-run-test-loop
Automate Atlan app run/test loops with CLI commands and readiness checks.
atlan-workflow-args-secrets-state
Retrieve workflow arguments and credentials securely via Atlan SDK patterns.
atlan-review-doc-sync
Automate findings-first review of Atlan app changes and sync documentation.
atlan-e2e-contract-validator
Generate and validate e2e_case_contract.yaml files for Atlan workflows.
atlan-cli-install-configure
Install the Atlan CLI only when missing and configure tenant authentication.
atlan-sdk-objectstore-io-defaults
Enforce Atlan SDK objectstore IO defaults for output paths and file prefixes.
Frequently Asked Questions About Atlan Pte Ltd.
FAQPage SchemaWhat 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.