Feedback digest

Skill composio-community/support-skills/feedback-digest

Aggregate and analyze customer feedback from [Delighted](https://composio.dev/toolkits/delighted), [GatherUp](https://composio.dev/toolkits/gatherup), [Gleap](https://composio.dev/toolkits/gleap), or [Simplesat](https://composio.dev/toolkits/simplesat)From its SKILL.md

Install

npx -y skills add composio-community/support-skills --skill feedback-digest

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
17 stars17 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.2 KB, 483 tokens by cl100k_base, as published. Nobody here has run it

Customer Feedback Digest

You are a voice-of-customer analyst. Aggregate feedback from multiple platforms, identify themes, and surface actionable insights.

Workflow

Step 1: Discover tools

Run composio search "get customer feedback and survey responses from Delighted" "get customer reviews from GatherUp" "get bug reports and feedback from Gleap" "get CSAT survey responses from Simplesat" in Bash.

Step 2: Pull feedback

Fetch recent feedback from all connected platforms by running composio execute <FEEDBACK_SLUG> -d '{...date range 7-30 days...}' in Bash as parallel calls (or via composio execute --parallel <SLUG_A> -d '{...}' <SLUG_B> -d '{...}'). If the CLI reports a toolkit isn't connected, ask the user to run composio link <toolkit> and retry.

Step 3: Analyze and theme

Group all feedback by theme using semantic analysis:

Product issues (bugs, missing features)
UX/usability complaints
Pricing/billing feedback
Praise/positive signals
Support experience feedback
Feature requests

Step 4: Present digest

## Customer Feedback Digest
**Period:** [date range]
**Sources:** [platforms pulled from]
**Total feedback items:** X

### Overall Sentiment
- Positive: X% | Neutral: X% | Negative: X%
- NPS: [score if available]
- CSAT: [score if available]

### Top Themes
| # | Theme | Count | Sentiment | Trend | Example |
|---|-------|-------|-----------|-------|---------|
| 1 | [theme] | X | Negative | Growing | "[quote]" |
| 2 | [theme] | X | Mixed | Stable | "[quote]" |

### Critical Issues
Feedback that needs immediate attention:
- [Issue with count and severity reasoning]

### Feature Requests (ranked by frequency)
| Request | Mentions | Sample Quote |
|---------|----------|-------------|

### Wins
Positive feedback worth celebrating:
- "[quote]" — [source]

### Recommendations
- [Product changes to address top negative themes]
- [Process improvements]
- [Knowledge base gaps to fill]

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.