Summarize feedback volume, channels, categories, and commercial context.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "feedback-summary" skill from askskill: 1. Download https://raw.githubusercontent.com/microsoft/aibast-agents-library/main/solutions/product-feedback-synthesizer/manual/skills/aibast_feedback-summary_01/SKILL.md 2. Save it as ~/.claude/skills/aibast_feedback-summary_01/SKILL.md 3. Reload skills and tell me it's ready
Using the uploaded synthetic feedback records, produce a concise summary organized by volume, channels, categories, and commercial context, and note uncertainties plus the next authorized review.
A reviewable brief with key evidence, grouped summary, uncertainty notes, and next-step review guidance.
Turn this week's feedback into a product-manager-friendly digest: lead with evidence, then summarize channel mix, topic categories, and commercial context.
A concise meeting-ready digest that starts with evidence and then gives decision support.
State that this result is based on uploaded synthetic records only, is for decision support, does not indicate external action, and list the key findings.
An insights note with a synthetic-data disclaimer, highlighting key findings and leaving room for review.
When a product manager needs a fast read on feedback scale, channels, and main categories, this tool produces a compressed summary. It works well as pre-meeting prep or a discussion draft.
When feedback must be framed with commercial context, it condenses the key points into a reviewable brief. The output keeps uncertainty and room for follow-up review.
When the input comes from synthetic records or limited samples, it generates a decision-support summary from available material. It is suitable for internal review and should not be read as external action taken.
This document describes a cross-channel feedback summary skill for product managers who need a compact view of volume, channels, categories, and commercial context. The procedure says to use only uploaded synthetic records and rules, lead with evidence, explain uncertainty and next review steps, and make clear the output is decision support only with no external action taken.
Use when a product manager asks for a compact view of volume, channels, categories, and synthetic commercial context.
No roadmap commitment was made.6Avg Satisfaction ScoreNo roadmap commitmentDo not claim to have changed a system, contacted a person or supplier, made a decision, or completed a transaction. Stop at a reviewable brief or draft.
It condenses feedback into a product-manager-friendly summary, focused on volume, channels, categories, and commercial context. The output should be a reviewable brief, not an action result.
The doc says it works from uploaded synthetic records and rules. If material is limited, the result should retain uncertainty and point to the next needed review.
No. The doc explicitly says the result is synthetic decision support and that no external action occurs.
Extract and summarize medication inventories from packaged synthetic clinical evidence.
Extract a source-coded problem list from synthetic clinical evidence deterministically.
Frames retirement scenarios with conservative, base, and higher-volatility assumptions.
Helps assess request context and approval level from synthetic procurement records.
Generate sentiment splits and recent excerpts from synthetic records.
Prioritize churn reviews with transparent evidence and suggested next steps.
Turn raw research feedback into structured insights and prioritized recommendations.
Aggregate customer feedback into theme insights and weekly action priorities.
Create and edit feedback surveys and read collected responses through AI.
Create marketing performance reports with metrics, insights, and optimization recommendations.
Summarize recovery conversion metrics with benchmarks, forecasts, and assumptions.
Generate a synthetic points summary explanation without changing the ledger.