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Found 63 Skills
Execute codeagent-wrapper for multi-backend AI code tasks. Supports Codex, Claude, and Gemini backends with file references (@syntax) and structured output.
Orchestrates single user-invocable skill across 3 parallel scenarios with synchronized state and progressive difficulty. Use when running multi-scenario demos, comparative testing, or progressive validation workflows.
Query DTS (Data Transmission Service) task status and details across all Alibaba Cloud regions. **v12.1: Enhanced reliability** - Timeout increased to 10s, exponential backoff (0.2s, 0.4s) for better timeout handling. Parallel execution remains **6-8x faster** than v10 (39s → 6s with --workers 16). **API retry logic ensures consistent results (no count variations)**. Supports filtering by instance ID or job name. Automatically polls all 27 regions and 3 job types. Strictly filters for PrePaid/PostPaid tasks and outputs a full Chinese report with Region information. Tasks are grouped by type (Migration/Sync/Subscribe) and sorted by CreateTime within each group. **Use this skill when: checking DTS task status, finding migration/sync tasks, verifying task counts, or filtering tasks by instance ID or job name.**
Dynamic tool selection, composition, and error handling patterns for AI agents. Use when you need to efficiently leverage available tools and handle failures gracefully.
Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode
Conduct a focused technical planning interview to produce an implementable, parallelizable plan or spec with clear dependencies, risks, and open questions.
Create reusable workflow templates with steps, conditions, and parallel execution
Use when vitest performance optimization including fast execution, watch mode, and parallelization strategies.
Automated multi-agent orchestrator that spawns CLI subagents in parallel, coordinates via MCP Memory, and monitors progress
Sequence tasks from a feature breakdown into an optimal execution order, identify dependencies and parallelization opportunities, and create an agent-ready execution sequence. Use when you have a feature breakdown and need to determine the correct order to build tasks and which can run in parallel.
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.
You MUST use this when a sufficiently concrete implementation plan is to be executed through scoped subagents rather than inline - after choosing subagent execution, or when resuming an interrupted orchestration - covering how each task brief is scoped, which risk level drives implementer and review strength, what independent verification the controller owns before accepting a task, and when a stalled fix loop escalates.