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Found 66 Skills
Implement QRSPI-planned OpenSpec changes with intelligent parallelization. Use when the user wants to apply a QRSPI change, implement tasks with parallelization, or says "apply this QRSPI change", "implement with parallelization", "run the parallel slices". This skill is specifically designed for changes created via accelint-qrspi that include "Parallelization Strategy" sections in tasks.md. It orchestrates parallel sub-agent execution for independent task slices using OpenSpec CLI workflows. Make sure to use this skill when the user mentions applying QRSPI changes, running parallel implementation, or working on changes with vertical slices.
Create implementation plans with tasks grouped by subsystem. Related tasks share agent context; groups parallelize across subsystems.
LangGraph parallel execution patterns. Use when implementing fan-out/fan-in workflows, map-reduce over tasks, or running independent agents concurrently.
This skill should be used when the user asks to "팀 구성해줘", "team assemble", "전문가 팀으로 해줘", "팀으로 해줘", "swarm", "병렬로 전문가 팀", or wants to decompose a complex task into specialist roles executed via TeamCreate. Also triggers when user describes a task clearly benefiting from parallel expert execution.
Use when planning or executing multi-wave parallel work on any project. Covers the execution framework, task registry, write-scope ownership, handoff rules, merge gates, and how to split safe parallel subagent work without collisions.
Tool use patterns for Claude including schema design, tool_choice modes, result handling, parallel execution, error recovery, and extended thinking integration.
4. Next task
Orchestrate subagent workflows for complex tasks that benefit from decomposition, role-based delegation, and parallel execution. Use when Codex should assemble a temporary team of subagents, choose roles from a reusable role library, create a controlled fallback role when no preset role fits, coordinate read-heavy work in parallel, or handle write-heavy work with ownership boundaries, staged execution, and an integrator-led merge path.
Delegate tasks to AI agents via Box0. Use when the user asks to review code, check security, run tests, compare tools, get multiple perspectives, research a topic, analyze data, write docs, or any task that could benefit from specialized or parallel execution. Also use when the user mentions agent names or says "ask", "delegate", "get opinions from", or "have someone".
Monad architecture concepts that affect how developers build apps — async execution, parallel execution, block states, reserve balance, EIP-7702, real-time data sources, and execution events. Fetch this skill when the developer needs to understand Monad-specific behavior that differs from Ethereum.
Run examples:start-all in auto mode with parallel execution, per-script logs, and start/stop helpers.
Orchestrate parallel scientist agents for comprehensive research with AUTO mode