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parallelization-patterns
Patterns for parallel execution strategies, timeout configuration, retry policies, and consensus mechanisms.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Patterns for parallel execution strategies, timeout configuration, retry policies, and consensus mechanisms.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | Parallelization Patterns |
| description | Patterns for parallel execution strategies, timeout configuration, retry policies, and consensus mechanisms. |
| version | 2.0.0 |
<decision_tree name="timeout_selection"> What type of agent is this? 180000ms 240000ms 300000ms 300000ms 300000ms </decision_tree>
<decision_tree name="parallelization_selection"> What does this agent modify? Use parallelization_readonly Use parallelization_analysis Use parallelization_execution Use parallelization_orchestration </decision_tree>
<best_practices> Select appropriate parallelization pattern based on agent capabilities Select timeout based on agent type following decision_tree Group independent agents in parallel_groups for concurrent execution Define depends_on for validation agents that require prior results Use retry_policy for critical operations </best_practices>
Read-only agents must use parallelization_readonly or parallelization_analysis Agents that modify state must use parallelization_execution Orchestrators must use parallelization_orchestration Use timeout_selection decision tree for consistent timeout values Apply retry_policy for operations that may fail transiently Use consensus_thresholds for multi-agent validation scenarios Match parallelization pattern to agent's state modification behavior Use standard timeout tiers from timeout_selection Define parallel_groups with correct dependency chains Running write agents in parallel without coordination Using non-standard timeout values<related_skills> Base templates for error escalation, decision criteria, enforcement Output formats, reflection checkpoints, self-evaluation </related_skills>
<related_agents> Validate that parallel task results are consistent and non-conflicting </related_agents>
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