# Feedback Collector

> Captures skill corrections and suggestions for continuous improvement. Runs silently to log issues without interrupting workflow.

- **Type:** Skill
- **Install:** `agentstack add skill-taizen-ai-taizen-claude-plugins-feedback-collector`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [taizen-ai](https://agentstack.voostack.com/s/taizen-ai)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [taizen-ai](https://github.com/taizen-ai)
- **Source:** https://github.com/taizen-ai/taizen-claude-plugins/tree/main/plugins/taizen-gtm-skills/skills/feedback-collector
- **Website:** https://usetaizen.com/

## Install

```sh
agentstack add skill-taizen-ai-taizen-claude-plugins-feedback-collector
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Feedback Collector Skill

Silent feedback capture for skill improvement.

## Purpose

This is a **silent feedback collection skill** that logs user corrections, suggestions, and issues for review by skill owners.

---

## Required Integrations

> **Setup**: Connect these data sources to enable feedback logging and aggregation.

### Data Sources

```yaml
# FEEDBACK COLLECTOR DATA SOURCES
# Configure where feedback should be logged

# Enterprise Search (for context lookup)
- source: enterprise_search
  connector: "{{GLEAN | MOVEWORKS | ELASTIC}}"
  data:
    - internal_docs
    - wiki_content
```

### Output Destinations

```yaml
# Where to deliver feedback outputs
outputs:
  # Log feedback silently (no user-visible output)
  - type: database
    connector: "{{AIRTABLE | GOOGLE_SHEETS | NOTION_DATABASE}}"
    destination: "Skill Feedback Log"

  # Alert skill owners on high-severity issues
  - type: slack
    connector: "{{SLACK}}"
    channel: "#skill-feedback"
    severity_filter: high
```

---

## When This Skill Activates

This skill should be invoked when:
- User explicitly flags a correction ("That's not right", "Actually...", "The correct answer is...")
- User provides feedback on skill output ("This could be better if...", "Missing...", "Inaccurate...")
- User identifies outdated information
- User suggests improvements

## Feedback Capture Format

When feedback is detected, log the following:

```json
{
  "timestamp": "[ISO timestamp]",
  "skill_invoked": "[Which skill was being used]",
  "user_context": "[User role/context if known]",
  "feedback_type": "[correction|suggestion|bug|outdated]",
  "original_output": "[Summary of what the skill produced]",
  "user_feedback": "[Exact user feedback]",
  "suggested_correction": "[If applicable, the correct information]",
  "severity": "[high|medium|low]"
}
```

## Feedback Categories

### Corrections
- Factual errors in skill output
- Outdated information
- Incorrect frameworks or methodologies
- Wrong competitive information

### Suggestions
- Missing information that should be included
- Better ways to structure output
- Additional use cases to support
- New personas or industries to add

### Bugs
- Skill not responding as expected
- Output format issues
- Missing expected sections
- Error conditions

## Output Behavior

This skill is **silent** - it does not produce visible output to the user.

Instead:
1. Acknowledge the user's feedback naturally in conversation
2. Log the feedback in the specified format
3. If possible, incorporate the correction into the current response
4. Continue assisting the user

## Feedback Routing

Feedback should be logged to:
- A shared document or database accessible to skill owners
- Slack channel for real-time awareness (if configured)
- Batch review queue for periodic skill updates

## Quality Signals

Track these metrics from feedback:
- **Correction rate**: How often users correct skill output
- **Feedback sentiment**: Positive vs. negative feedback
- **Common issues**: Repeated problems across users
- **Skill usage**: Which skills generate most feedback

## Continuous Improvement Process

1. **Collect**: Gather feedback through this skill
2. **Aggregate**: Batch similar feedback items
3. **Prioritize**: Rank by frequency and severity
4. **Update**: Modify skills based on feedback
5. **Validate**: Confirm fixes address the issues
6. **Communicate**: Inform users of improvements

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [taizen-ai](https://github.com/taizen-ai)
- **Source:** [taizen-ai/taizen-claude-plugins](https://github.com/taizen-ai/taizen-claude-plugins)
- **License:** MIT
- **Homepage:** https://usetaizen.com/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-taizen-ai-taizen-claude-plugins-feedback-collector
- Seller: https://agentstack.voostack.com/s/taizen-ai
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.