Collect LLO feedback and document responses in ACE closeout files.
npx skills add https://github.com/jjackson/ace --skill llo-feedback
Please help me install this Agent Skill. Skill: llo-feedback Source: https://github.com/jjackson/ace/tree/main/skills/llo-feedback Command: npx skills add https://github.com/jjackson/ace --skill llo-feedback
Collects and documents LLO feedback after opportunities to enable learning and improvement.
Invite LLOs to provide feedback and save the responses to the closeout folder.
High-intent search queries and answers about installing and using this skill.
Structured feedback collection uses archetype-aware prompts to request input after an opportunity closeout, storing responses in a markdown file with sections for archetype, responses, themes, and improvement suggestions.
An archetype-aware debrief prompt tailors feedback requests to specific opportunity types like atomic-visit, focus-group, or multi-stage, ensuring questions match the context of the post-opp review.
Yes, feedback documentation automates drafting requests, distribution, and monitoring for responses across multi-stage opportunities, saving structured output to the closeout folder.
LLO feedback themes and improvement suggestions are documented in a structured markdown file within the closeout directory, organizing responses by archetype for clear learning and improvement tracking.
Yes, the feedback process applies to focus-group and atomic-visit archetypes, using tailored prompts to gather relevant responses and store them in the closeout documentation.
The best way to structure opportunity debriefs is using archetype-aware prompts that capture responses, identify themes, and suggest improvements, all stored in a dedicated closeout markdown file.
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