Decompose complex tasks into independent parallel agents with conflict checks.
npx skills add https://github.com/build000r/skills --skill divide-and-conquer
Please help me install this Agent Skill. Skill: divide-and-conquer Source: https://github.com/build000r/skills/tree/main/divide-and-conquer Command: npx skills add https://github.com/build000r/skills --skill divide-and-conquer
Decompose complex tasks into independent, parallel sub-agents with no overlapping concerns, race conditions, or inter-agent dependencies. Use BEFORE spawning Task agents when the work involves multiple files, domains, or concerns that could be parallelized. Triggers on: planning multi-agent work, "split this into agents", "parallelize this", "divide and conquer", or when about to launch 2+ Task agents for a complex task. Also use when a task feels too large for a single agent but the right decomposition isn't obvious.
Outline a 2- to 5-agent decomposition for a given complex task, assign each agent a distinct concern, and specify their write boundaries to ensure conflict-free parallel execution.
High-intent search queries and answers about installing and using this skill.
To split tasks into parallel agents without write conflicts, you must identify clear boundaries for each sub-agent and specify distinct write boundaries. This conflict-free decomposition prevents overlapping writes and race conditions during multi-agent orchestration.
The best way to parallelize a large task is to outline a 2- to 5-agent decomposition, assign each agent a distinct concern, and enforce independence by avoiding inter-agent dependencies before launching the workflow.
Use multi-agent orchestration when a task feels too large for a single agent or involves multiple files and domains. It is triggered when planning to launch 2 or more Task agents for complex, scalable task distribution.
Prevent race conditions in parallel sub-agents by applying a formal conflict-check and launch protocol. This protocol guides safe split patterns to avoid overlapping writes and ensures conflict-free parallel execution.
Yes, you can use divide and conquer planning for data analysis and research tasks. The orchestration applies to planning multi-agent workflows across diverse domains, enabling scalable task distribution beyond software projects.
A limitation of dividing tasks into parallel agents is the requirement for strict independence. If the work cannot be separated into distinct concerns with non-overlapping write boundaries, the decomposition will fail due to inter-agent dependencies.
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