Capture single transferable insights with trigger context for agent learning.
npx skills add https://github.com/usurobor/cnos --skill mci
Please help me install this Agent Skill. Skill: mci Source: https://github.com/usurobor/cnos/tree/main/src/packages/cnos.core/skills/agent/mci Command: npx skills add https://github.com/usurobor/cnos --skill mci
Identify and capture the minimum coherent insights that prevent repeating the same mistakes in future agent cycles.
Instruct the agent to extract the smallest lesson that changes its next action and record it with its trigger.
High-intent search queries and answers about installing and using this skill.
To prevent repeating mistakes, you capture the minimum coherent insight that changes the agent's next action. This skill extracts single, transferable lessons with explicit trigger context during task execution, ensuring errors do not recur in subsequent agent cycles.
The best way to capture task-local learning is to instruct the agent to extract the smallest lesson that changes its next action. This requires explicit trigger capture, imperative phrasing, and single insights per capture to ensure safe, auditable learning within the agent cycle.
Yes, you can migrate captured insights into higher-level skills and long-term memory. The captured insights are migration-ready, designed with explicit transfer pathways to move task-local learning into the broader skill framework for future agent cycles.
Yes, on-demand insight capture works without extra dependencies. The skill loads only when needed during task execution and model updates, requiring no external components to identify and record transferable insights with their trigger context.
Safe and auditable agent learning requires guardrails like explicit trigger capture, imperative phrasing, and single insights per capture. These constraints ensure that migration pathways into higher-level skills remain controlled and auditable during on-demand task execution.
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