Classify user input into discussion, workflow, schedule, or goal categories.
npx skills add https://github.com/Adelie-Squad/solosquad --skill triage-adelie-squad
Please help me install this Agent Skill. Skill: triage Source: https://github.com/Adelie-Squad/solosquad/tree/main/skills/triage Command: npx skills add https://github.com/Adelie-Squad/solosquad --skill triage-adelie-squad
Chief's task triage is a cognitive load-heavy process. This skill quickly categorizes user input into four actionable types (discussion, workflow, schedule, goal) and provides an Educational Nudge when certainty is low.
Provide a user input string to triage, and the skill will return a structured payload with classification, confidence, educational_nudge, reasoning, and next_stage.
High-intent search queries and answers about installing and using this skill.
Input triage classifies user text into four categories—discussion, workflow, schedule, and goal—to guide decision-making. It returns a deterministic payload containing the classification, confidence score, reasoning, and the next stage.
An educational nudge is a proactive playbook suggestion provided during task classification when input certainty is low. It triggers to help clarify ambiguous inputs and guide the user toward the correct workflow, schedule, goal, or discussion action.
To get structured triage results, provide a user input string to the skill. It processes the text and returns a deterministic payload including classification, confidence, reasoning, educational nudge, and the defined next stage to drive subsequent workflow steps.
Yes, this task triage tool works entirely without external dependencies or components. It applies its classification logic during each turn to categorize inputs across discussion, workflow, schedule, and goal scenarios natively.
A 4-way classification system reduces cognitive load by instantly sorting inputs into discussion, workflow, schedule, and goal categories. This structured approach provides deterministic outputs and clear next stages, streamlining complex decision-making workflows.
The main limitation of automated task triage is handling highly ambiguous inputs, which lowers classification confidence. However, it mitigates this by providing an educational nudge to suggest relevant knowledge playbooks for clarification.
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