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Found 8,751 Skills
Use when implementing distributed transactions, coordinating multi-service workflows, handling compensating transactions, or asking about "saga pattern", "distributed transactions", "compensating actions", "workflow orchestration", "choreography vs orchestration"
Runs an autonomous development loop with research and implementation modes. Use when orchestrating iterative research and implementation cycles with dots-based task tracking and git workflow automation.
AI Image Generation and Processing Workflow. Generate images via prompts, supporting text-to-image, image-to-image, batch generation, image hosting management, long image merging, and PPT packaging. The core feature is generating images with one-by-one confirmation to avoid wasting API credits.
Maintain durable project context in `tasks/context.md` (state, decisions, milestones, gotchas, optional context links), inline during other workflows or standalone for cleanup/backfill. Triggers: update context.md, decision log, record project context, capture high-value reference links that improve context handoff.
Best practices for LLM-assisted coding. Declarative workflows, simplicity, tenacity.
Guide for using MassGen to develop and improve itself. This skill should be used when agents need to run MassGen experiments programmatically (using automation mode) OR analyze terminal UI/UX quality (using visual evaluation tools). These are mutually exclusive workflows for different improvement goals.
Capture AI agent sessions in your git workflow. Use for setup, rewinding to checkpoints, exploring session history, and troubleshooting.
Use Inngest step methods to build durable workflows. Covers step.run, step.sleep, step.waitForEvent, step.waitForSignal, step.sendEvent, step.invoke, step.ai, and patterns for loops and parallel execution.
This skill should be used when the user mentions Jujutsu version control, "jj" commands, working with jj repositories, or asks about Git to Jujutsu equivalents. Triggers on keywords like "jujutsu", "jj", "jj-vcs", "jj repo", "jj commit", "jj log", "jj new", "jj squash", "jj rebase", "jj bookmark", or questions about Jujutsu workflows and concepts.
Python DAG workflow orchestration using Apache Airflow for data pipelines, ETL processes, and scheduled task automation
Systematic implementation using APEX methodology (Analyze-Plan-Execute-eXamine) with parallel agents, self-validation, and optional adversarial review. Use when implementing features, fixing bugs, or making code changes that benefit from structured workflow.
Drive development using delegated agent workflows. Coordinates multi-agent task execution with proper supervision and result integration.