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Found 66 Skills
Use when vitest performance optimization including fast execution, watch mode, and parallelization strategies.
Execute codeagent-wrapper for multi-backend AI code tasks. Supports Codex, Claude, and Gemini backends with file references (@syntax) and structured output.
Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode
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.**
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.
Conduct a focused technical planning interview to produce an implementable, parallelizable plan or spec with clear dependencies, risks, and open questions.
Dynamic tool selection, composition, and error handling patterns for AI agents. Use when you need to efficiently leverage available tools and handle failures gracefully.
Create reusable workflow templates with steps, conditions, and parallel execution
Turn an idea into a well-structured Linear project ready for hands-off parallel execution. Conversational — asks clarifying questions before scaffolding. Outputs a Linear project, per-scope-item tickets, and `.handoffs/<slug>/tickets.yaml` — the machine contract /project-start consumes (with file surface and per-ticket dependencies). Reads `.claude/conventions.yaml` for Linear team / ticket-prefix conventions. Requires the `/grilling` and `/domain-modeling` skills (mattpocock/skills).
Automated multi-agent orchestrator that spawns CLI subagents in parallel, coordinates via MCP Memory, and monitors progress
[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.
Recursively find all git repositories and pull latest changes from remote IN PARALLEL. Use when syncing multiple projects across machines or after switching computers.