General

give-feedback - Claude MCP Skill

Capture and process feedback about PLX framework components to help improve the framework through systematic documentation and routing to appropriate meta agents.

SEO Guide: Enhance your AI agent with the give-feedback tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to capture and process feedback about plx framework components to help improve the framework through sy... Download and configure this skill to unlock new capabilities for your AI workflow.

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SKILL.md
# 📝 Give Feedback: Framework Component Improvement
> 💡 *Transform user feedback about PLX framework components into actionable improvement documentation routed to the appropriate meta agent for processing.*

## 🎯 End Goal
> 💡 *The clean, measurable objective that determines whether any following section provides value.*

Capture comprehensive feedback about PLX framework components (agents, templates, workflows, prompts) and:
- Document feedback in a structured, actionable format
- Route to the appropriate meta agent for processing
- Ensure continuous framework improvement through systematic feedback collection
- Maintain traceability from feedback to implementation

## 👤 Persona

![[ultra-meta-agent]]

## 📋 Request
> 💡 *Verb-first activity request with optional deliverables and acceptance criteria*

Capture and process user feedback about a PLX framework component by:
1. Gathering comprehensive feedback context
2. Creating a structured feedback document
3. Determining the appropriate meta agent for processing
4. Continuing the conversation with applied learnings

### Deliverables
- Feedback document using [[feedback-template]]
- Proper routing to specialized meta agent
- Confirmation of feedback capture
- Applied improvements in current interaction

### Acceptance Criteria
- [ ] Component type and name identified
- [ ] User's intent and context captured
- [ ] Strengths and improvements documented
- [ ] Specific suggestions recorded
- [ ] Appropriate meta agent identified
- [ ] Feedback document created following conventions

## 🔄 Workflow
> 💡 *Atomic steps that systematically achieve the end goal.*

### Step 1: Gather Feedback Context
**Deliverable:** Complete understanding of feedback scope
**Acceptance Criteria:** All feedback dimensions captured
- Identify which component (name and type)
- Understand what user was trying to accomplish
- Document what worked well
- Capture what could be improved
- Record specific suggestions

### Step 2: Create Feedback Document
**Deliverable:** Structured feedback document
**Acceptance Criteria:** Document follows all conventions
- Use [[feedback-template]] structure
- Follow [[mvpm-issue-conventions]]
- Save in appropriate location:
  - Existing issue folder if related
  - Subject's backlog folder otherwise
- Use naming pattern: `feedback-[component-type]-[component-name]-[YYYYMMDD].md`

### Step 3: Route to Meta Agent
**Deliverable:** Feedback routed to correct processor
**Acceptance Criteria:** Appropriate expert identified
- Determine component type and route accordingly:
  - Agents → [[meta-sub-agent-architect]]
  - Templates → [[meta-template-expert]]
  - Workflows → [[meta-workflow-specialist]]
  - Prompts → [[meta-prompt-engineer]]

### Step 4: Apply and Continue
**Deliverable:** Improved interaction
**Acceptance Criteria:** Feedback integrated into current work
- Adjust current approach based on feedback
- Continue conversation normally
- Apply immediate learnings

## 📏 Instructions
> 💡 *Event-driven best practices, conventions, constraints and rules.*

### WHEN capturing feedback
**Best Practices:**
- Be thorough in capturing all details
- Focus on constructive suggestions
- Include specific examples where possible

**Requirements:**
- Document must be actionable for meta agent
- All feedback dimensions must be captured
- Routing must match component type

### WHEN processing feedback
**Conventions:**
- Follow [[mvpm-issue-conventions]] for documentation
- Use established file naming patterns
- Maintain proper folder structure

**Rules:**
- ALWAYS create a feedback document before proceeding
- ALWAYS identify the correct meta agent
- NEVER skip feedback capture steps
- MUST ensure feedback is actionable

## 📊 Output Format
> 💡 *How to structure and deliver the output.*

### Format Type
Structured feedback document in Markdown with systematic organization

### Delivery Instructions
1. Create feedback document using [[feedback-template]]
2. Save following [[mvpm-issue-conventions]]
3. Confirm capture with brief summary
4. Continue conversation with applied learnings

### Success Confirmation Template
```markdown
## Feedback Captured Successfully

**Component:** [Type] - [Name]
**Routed to:** [[appropriate-meta-agent]]
**Location:** [File path]

**Summary:** [Brief overview of key feedback points]

Continuing with your task, applying the feedback insights...
```

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Information

Repository
appboypov/pew-pew-plaza-packs
Author
appboypov
Last Sync
3/12/2026
Repo Updated
3/4/2026
Created
1/16/2026

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