# 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)

- Skill: `majiayu000/feedback-digest` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/feedback-digest`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/feedback-digest/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/feedback-digest

---


# 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]
```