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Obsidian-Owl AI Skills

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Browse published AI skills maintained by Obsidian-Owl. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

32

Repository stars across indexed skills

0

Repository forks

275

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

32 skills

Browse skills

GitHub

dagster-orchestration

Obsidian-Owl

ALWAYS USE when working with Dagster assets, resources, IO managers, schedules, sensors, or dbt integration. CRITICAL for: @asset decorators, @dbt_assets, DbtCliResource, ConfigurableResource, IO managers, part...

GitHub

speckit-clarify

Obsidian-Owl

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

GitHub

speckit-plan

Obsidian-Owl

Execute the implementation planning workflow using the plan template to generate design artifacts.

GitHub

speckit-pr

Obsidian-Owl

Create PR with Linear integration and quality summary. Use when ready to merge an Epic branch to main.

GitHub

polaris-catalog

Obsidian-Owl

ALWAYS USE when configuring Polaris catalog, managing namespaces, or setting up credentials in floe-platform. Use IMMEDIATELY when integrating DuckDB via dbt-duckdb plugin, configuring PyIceberg REST catalog, o...

GitHub

speckit-tasks

Obsidian-Owl

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

GitHub

dev-verify-wiring

Obsidian-Owl

Detect unintegrated features before they become dead code. Catches the "Ink component pattern" - code that exists but isn't wired.

GitHub

tech-debt-review

Obsidian-Owl

Comprehensive technical debt analysis with PR and full-audit modes. Use when reviewing code quality before PR, conducting periodic health checks, or investigating maintainability issues.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.