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Found 169 Skills
Orchestrates durable multi-step workflow pipelines on the iii engine. Use when building order fulfillment, data pipelines, task orchestration, or any sequential process requiring retries, backoff, step tracking, scheduled cleanup, or dead letter queue (DLQ) handling.
Phase coordination, agent handoffs, and workflow state machine management
Use when coordinating non-trivial implementation work, executing implementation plans, or modifying AGENTS.md/CLAUDE.md.
Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.
Schedule & To-Do Summary: Orchestrate calendar +agenda and task +get-my-tasks to generate a summary of schedules and incomplete tasks for a specified date. Suitable for checking today's, tomorrow's or this week's arrangements.
Create custom Skills for lark-cli. Use this when you need to package Feishu API operations into reusable Skills (wrapping atomic APIs or orchestrating multi-step workflows).
Orchestrates BMAD workflows for structured AI-driven development. Routes work across Analysis, Planning, Solutioning, and Implementation phases.
Draft and update task issues with checklist-first decomposition, dependency-aware sequencing, repository-valid labels, and explicit publish confirmation.
Draft and update feature issues with clear problem framing, scoped requirements, repository-valid labels, and explicit confirmation before publishing.
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIVELY for workflow design, microservice orchestration, or long-running processes.
Building AI agents with the Convex Agent component including thread management, tool integration, streaming responses, RAG patterns, and workflow orchestration