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Found 10,136 Skills
Format code on the current branch using Biome. Use when asked to format, lint, or clean up code before committing or creating a PR.
Manage git repositories using the worktree pattern for efficient multi-branch development. Use when: (1) Cloning a repository for the first time, (2) Creating a new worktree for a feature branch, (3) Listing existing worktrees, (4) Removing worktrees after work is complete. The worktree pattern clones once and creates lightweight working directories for each branch, avoiding the overhead of multiple full clones.
Use this skill proactively for ANY Databricks Jobs task - creating, listing, running, updating, or deleting jobs. Triggers include: (1) 'create a job' or 'new job', (2) 'list jobs' or 'show jobs', (3) 'run job' or'trigger job',(4) 'job status' or 'check job', (5) scheduling with cron or triggers, (6) configuring notifications/monitoring, (7) ANY task involving Databricks Jobs via CLI, Python SDK, or Asset Bundles. ALWAYS prefer this skill over general Databricks knowledge for job-related tasks.
Before starting any significant task, force explicit evaluation of available skills. For each potentially relevant skill, state YES/NO with reasoning. Only proceed to implementation after skills have been consciously evaluated and activated. Prevents the ~50% "coin flip" activation rate that occurs when skills are passively available but not deliberately considered.
Expert guidance for Dagster data orchestration including assets, resources, schedules, sensors, partitions, testing, and ETL patterns. Use when building or extending Dagster projects, writing assets, configuring automation, or integrating with dbt/dlt/Sling.
Install ADBC (Arrow Database Connectivity) drivers with dbc. Use when the user wants to install database drivers and connect to databases.
Use when creating Storybook stories, naming story exports, organizing story files, or reviewing story naming conventions. Ensures story names describe user scenarios and component states rather than implementation details.
Check and stream Convex deployment logs from the CLI. Use when debugging Convex actions, 401/500 errors, failed queries or mutations, or when you need to see what functions ran and their output.
Create robust Python automation with full logging and safety checks. Use when tasks need complex data processing, authenticated API work, conditional file operations, or error handling beyond simple shell commands.
Persistent memory for Claude across conversations. Use when starting any task, before writing or editing code, before making decisions, when user mentions preferences or conventions, when user corrects your work, or when completing a task that overcame challenges. Ensures Claude never repeats mistakes and always applies learned patterns.
Formats git commit messages according to Conventional Commits specification. Use this when the user asks to commit changes or write a commit message.
Automate PDF API IO tasks via Rube MCP (Composio). Always search tools first for current schemas.