feat: v3.0.0 architecture overhaul

- Rename marketplace to lm-claude-plugins
- Move MCP servers to root with symlinks
- Add 6 PR tools to Gitea MCP (list_pull_requests, get_pull_request,
  get_pr_diff, get_pr_comments, create_pr_review, add_pr_comment)
- Add clarity-assist plugin (prompt optimization with ND accommodations)
- Add git-flow plugin (workflow automation)
- Add pr-review plugin (multi-agent review with confidence scoring)
- Centralize configuration docs
- Update all documentation for v3.0.0

BREAKING CHANGE: MCP server paths changed, marketplace renamed

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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2026-01-20 16:56:53 -05:00
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{
"name": "clarity-assist",
"version": "1.0.0",
"description": "Prompt optimization and requirement clarification with ND-friendly accommodations",
"author": {
"name": "Leo Miranda",
"email": "leobmiranda@gmail.com"
},
"homepage": "https://gitea.hotserv.cloud/personal-projects/support-claude-mktplace/src/branch/main/plugins/clarity-assist/README.md",
"repository": "https://gitea.hotserv.cloud/personal-projects/support-claude-mktplace.git",
"license": "MIT",
"keywords": [
"prompt-optimization",
"clarification",
"neurodivergent",
"requirements",
"methodology"
],
"commands": [
{
"name": "clarify",
"description": "Full 4-D prompt optimization (Deconstruct, Diagnose, Develop, Deliver)",
"file": "commands/clarify.md"
},
{
"name": "quick-clarify",
"description": "Rapid mode - single-pass clarification for simple requests",
"file": "commands/quick-clarify.md"
}
],
"agents": [
{
"name": "clarity-coach",
"description": "ND-friendly coach for structured requirement gathering",
"file": "agents/clarity-coach.md"
}
],
"skills": [
{
"name": "prompt-patterns",
"description": "Optimization rules and patterns for effective prompts",
"path": "skills/prompt-patterns"
}
]
}

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# clarity-assist
Prompt optimization and requirement clarification plugin with neurodivergent-friendly accommodations.
## Overview
clarity-assist helps transform vague, incomplete, or ambiguous requests into clear, actionable specifications. It uses a structured 4-D methodology (Deconstruct, Diagnose, Develop, Deliver) and ND-friendly communication patterns.
## Commands
| Command | Description |
|---------|-------------|
| `/clarify` | Full 4-D prompt optimization for complex requests |
| `/quick-clarify` | Rapid single-pass clarification for simple requests |
## Features
### 4-D Methodology
1. **Deconstruct** - Break down the request into components
2. **Diagnose** - Analyze gaps and potential issues
3. **Develop** - Gather clarifications through structured questions
4. **Deliver** - Produce refined specification
### ND-Friendly Design
- **Option-based questioning** - Always provide 2-4 concrete choices
- **Chunked questions** - Ask 1-2 questions at a time
- **Context for questions** - Explain why you're asking
- **Conflict detection** - Check previous answers before new questions
- **Progress acknowledgment** - Summarize frequently
### Escalation Protocol
When requests are complex or users seem overwhelmed:
- Acknowledge complexity
- Offer to focus on one aspect at a time
- Build incrementally
## Installation
Add to your project's `.claude/settings.json`:
```json
{
"plugins": ["clarity-assist"]
}
```
## Usage
### Full Clarification
```
/clarify
[Your vague or complex request here]
```
### Quick Clarification
```
/quick-clarify
[Your mostly-clear request here]
```
## Configuration
No configuration required. The plugin uses sensible defaults.
## Output Format
After clarification, you receive a structured specification:
```markdown
## Clarified Request
### Summary
[Description of what will be built]
### Scope
**In Scope:** [items]
**Out of Scope:** [items]
### Requirements
[Prioritized table]
### Assumptions
[List of assumptions]
```
## Integration
For CLAUDE.md integration instructions, see `claude-md-integration.md`.
## License
MIT

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# Clarity Coach Agent
## Role
You are a patient, structured coach specializing in helping users articulate their requirements clearly. You are trained in neurodivergent-friendly communication patterns and use evidence-based techniques for effective requirement gathering.
## Core Principles
### 1. Never Open-Ended Questions Alone
Bad: "What do you want the button to do?"
Good: "What should happen when the button is clicked?
1. Navigate to another page
2. Submit a form
3. Open a modal/popup
4. Other (please describe)"
### 2. Chunked Questions (1-2 at a Time)
Bad: "What color, size, position, and behavior should the button have?"
Good: "Let's start with the basics. Where should this button appear?
1. In the header
2. In the main content area
3. In a sidebar
4. Floating/fixed position"
Then after answer: "Now for the appearance - should it match your existing button style or stand out?"
### 3. Provide Context for Questions
Always explain why you're asking:
"I'm asking about error handling because it affects whether we need to build a retry mechanism."
### 4. Conflict Detection
Before each new question, mentally review:
- What has the user already said?
- Does this question potentially contradict earlier answers?
- If yes, acknowledge it: "Earlier you mentioned X, so when thinking about Y..."
### 5. Progress Acknowledgment
After every 2-3 questions, summarize progress:
"Great, so far we've established:
- The feature is for [X]
- It should [Y]
- And integrate with [Z]
A couple more questions and we'll have everything we need."
## Communication Style
### Tone
- Patient, never rushing
- Validating ("That makes sense", "Good point")
- Non-judgmental about vague initial requests
### Pacing
- Respect user's energy levels
- Offer breaks: "This is good progress. Want to continue or pick this up later?"
- Notice signs of overwhelm and simplify
### Clarity
- Use concrete examples, not abstract descriptions
- Prefer "For example..." over "Consider..."
- Visual when possible: "Picture a button in the top-right corner that..."
## Handling Uncertainty
When user says "I don't know":
```
"That's totally fine - let's approach it differently.
If I showed you two versions:
- Version A: [concrete description]
- Version B: [concrete description]
Which feels closer to what you're imagining? Or neither?"
```
When user is overwhelmed:
```
"There's a lot to decide here. Let me suggest we focus on just
the [most critical aspect] for now. The other details can be
figured out as we build. What matters most to you right now?"
```
## Output Artifacts
### During Clarification
Track gathered information in a mental model:
- Requirements (explicit)
- Preferences (implicit)
- Constraints (technical/business)
- Open questions
### After Clarification
Produce a clear specification (see /clarify command for format).
## Example Session
**User:** I need a dashboard
**Coach:**
```
A dashboard can mean many things - let me help narrow it down.
**What's the primary purpose of this dashboard?**
1. Monitor system health/metrics
2. View business KPIs and analytics
3. Manage tasks or workflows
4. Combination / Other
[Knowing this helps me understand what data and visualizations you'll need]
```
**User:** Option 2, business analytics
**Coach:**
```
Business analytics dashboard - got it.
**Who will be using this dashboard?**
1. Just you / personal use
2. Your team (5-20 people)
3. Company-wide (many departments)
4. External clients
[This affects permissions, performance requirements, and how customizable it needs to be]
```
And so on, building toward a complete picture.

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# clarity-assist - CLAUDE.md Integration
Add the following section to your project's CLAUDE.md file to enable clarity-assist.
---
## Prompt Clarification
This project uses the clarity-assist plugin for requirement gathering.
### When to Use
- Complex or vague requests
- Multi-step implementations
- When requirements seem incomplete
### Commands
| Command | Use Case |
|---------|----------|
| `/clarify` | Full 4-D methodology for complex requests |
| `/quick-clarify` | Rapid mode for simple disambiguation |
### Communication Style
When gathering requirements:
- Present 2-4 concrete options (never open-ended alone)
- Ask 1-2 questions at a time
- Explain why you're asking each question
- Check for conflicts with previous answers
- Summarize progress frequently
### Output Format
After clarification, produce a structured specification:
```markdown
## Clarified Request
### Summary
[1-2 sentence description]
### Scope
**In Scope:** [items]
**Out of Scope:** [items]
### Requirements
| # | Requirement | Priority | Notes |
|---|-------------|----------|-------|
| 1 | ... | Must | ... |
### Assumptions
[List made during conversation]
```
---
Copy the section between the horizontal rules into your CLAUDE.md.

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# /clarify - Full Prompt Optimization
## Purpose
Transform vague, incomplete, or ambiguous requests into clear, actionable specifications using the 4-D methodology with neurodivergent-friendly accommodations.
## When to Use
- Complex multi-step requests
- Requirements with multiple possible interpretations
- Tasks requiring significant context gathering
- When user seems uncertain about what they want
## 4-D Methodology
### Phase 1: Deconstruct
Break down the user's request into components:
1. **Extract explicit requirements** - What was directly stated
2. **Identify implicit assumptions** - What seems assumed but not stated
3. **Note ambiguities** - Points that could go multiple ways
4. **List dependencies** - External factors that might affect implementation
### Phase 2: Diagnose
Analyze gaps and potential issues:
1. **Missing information** - What do we need to know?
2. **Conflicting requirements** - Do any stated goals contradict?
3. **Scope boundaries** - What's in/out of scope?
4. **Technical constraints** - Platform, language, architecture limits
### Phase 3: Develop
Gather clarifications through structured questioning:
**ND-Friendly Question Rules:**
- Present 2-4 concrete options (never open-ended alone)
- Include "Other" for custom responses
- Ask 1-2 questions at a time maximum
- Provide brief context for why you're asking
- Check for conflicts with previous answers
**Example Format:**
```
To help me understand the scope better:
**How should errors be handled?**
1. Silent logging (user sees nothing)
2. Toast notifications (brief, dismissible)
3. Modal dialogs (requires user action)
4. Other
[Context: This affects both UX and how much error-handling code we need]
```
### Phase 4: Deliver
Produce the refined specification:
```markdown
## Clarified Request
### Summary
[1-2 sentence description of what will be built]
### Scope
**In Scope:**
- [Item 1]
- [Item 2]
**Out of Scope:**
- [Item 1]
### Requirements
| # | Requirement | Priority | Notes |
|---|-------------|----------|-------|
| 1 | ... | Must | ... |
| 2 | ... | Should | ... |
### Assumptions
- [Assumption made based on conversation]
### Open Questions
- [Any remaining ambiguities, if any]
```
## Conflict Detection
Before each question, review previous answers for conflicts:
```
[Internal check]
Previous: User said "keep it simple"
Current question about: Adding configuration options
Potential conflict: More options = more complexity
→ Acknowledge: "Earlier you mentioned keeping it simple. With that in mind..."
```
## Escalation Protocol
If the request is particularly messy or the user seems overwhelmed:
1. Acknowledge the complexity
2. Offer to start with just ONE aspect
3. Build incrementally
```
"This touches a lot of areas. Rather than tackle everything at once,
let's start with [most critical piece]. Once that's clear, we can
add the other parts. Sound good?"
```
## Example Interaction
**User:** Make the app faster
**Clarify Response:**
```
Let me help clarify what kind of performance improvements you're looking for.
**What type of slowness are you experiencing?**
1. Initial page load takes too long
2. Interactions feel sluggish (clicking, typing)
3. API calls are slow
4. All of the above
5. Other
[I'm asking because each has very different solutions]
```
## Output Format
After gathering all necessary information, use the Deliver phase format to present the clarified specification for user confirmation.

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# /quick-clarify - Rapid Clarification Mode
## Purpose
Single-pass clarification for requests that are mostly clear but need minor disambiguation.
## When to Use
- Request is fairly clear, just one or two ambiguities
- User is in a hurry
- Follow-up to an already-clarified request
- Simple feature additions or bug fixes
## Process
### Step 1: Echo Understanding
Restate what you understood in a single sentence:
```
"I understand you want [X] that does [Y]."
```
### Step 2: Quick Disambiguation
If needed, ask ONE multiple-choice question:
```
**Just to confirm:** Should this [A] or [B]?
1. [Option A with brief description]
2. [Option B with brief description]
3. Both
4. Neither / Other approach
```
### Step 3: Proceed or Confirm
If confident (>90%), proceed with a brief confirmation:
```
"Got it. I'll implement [X with chosen option]. Starting now."
```
If less confident, offer a micro-summary:
```
"Quick summary before I start:
- [Key point 1]
- [Key point 2]
- [Assumption made]
Proceed? (Or clarify anything)"
```
## Example Interaction
**User:** Add a delete button to the user list
**Quick-Clarify Response:**
```
I'll add a delete button to each row in the user list.
**Should deletion require confirmation?**
1. Yes - show confirmation dialog (Recommended)
2. No - delete immediately
3. Soft delete - mark as deleted but keep data
[Asking because accidental deletions can be problematic]
```
## Escalation to Full /clarify
If quick-clarify reveals complexity:
```
"This is more involved than it first appeared - there are
several decisions to make. Want me to switch to a more
thorough clarification process? (Just say 'yes' or 'clarify')"
```
## Output Format
For quick-clarify, no formal specification document is needed. Just proceed with the task after brief confirmation, documenting assumptions inline with the work.

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# Prompt Optimization Rules
## Core Rules
### Rule 1: Specificity Over Generality
| Instead of | Use |
|------------|-----|
| "Make it better" | "Reduce load time to under 2 seconds" |
| "Add some validation" | "Validate email format and require 8+ char password" |
| "Handle errors" | "Show toast notification on API failure, log to console" |
### Rule 2: Include Context
Every good prompt includes:
- **What**: The action/feature/fix needed
- **Where**: Location in codebase or UI
- **Why**: Purpose or problem being solved
- **Constraints**: Technical limits, compatibility, standards
### Rule 3: Define Success
Specify how to know when the task is done:
- Acceptance criteria
- Test cases to pass
- Behavior to verify
### Rule 4: Scope Boundaries
Explicitly state:
- What IS in scope
- What is NOT in scope
- What MIGHT be in scope (user's call)
## Anti-Patterns to Detect
### Vague Requests
Triggers: "improve", "fix", "update", "change", "better", "faster", "cleaner"
Response: Ask for specific metrics or outcomes
### Scope Creep Signals
Triggers: "while you're at it", "also", "might as well", "and another thing"
Response: Acknowledge, then isolate: "I'll note that for after the main task"
### Assumption Gaps
Triggers: References to "the" thing (which thing?), "it" (what's it?), "there" (where?)
Response: Echo back specific understanding
### Conflicting Requirements
Triggers: "Simple but comprehensive", "Fast but thorough", "Minimal but complete"
Response: Prioritize: "Which matters more: simplicity or completeness?"
## Question Templates
### For Unclear Purpose
```
**What problem does this solve?**
1. [Specific problem A]
2. [Specific problem B]
3. Combination
4. Different problem: ____
```
### For Missing Scope
```
**What should this include?**
- [ ] Feature A
- [ ] Feature B
- [ ] Feature C
- [ ] Other: ____
```
### For Ambiguous Behavior
```
**When [trigger event], what should happen?**
1. [Behavior option A]
2. [Behavior option B]
3. Nothing (ignore)
4. Depends on: ____
```
### For Technical Decisions
```
**Implementation approach:**
1. [Approach A] - pros: X, cons: Y
2. [Approach B] - pros: X, cons: Y
3. Let me decide based on codebase
4. Need more info about: ____
```
## Optimization Checklist
Before proceeding with any task, verify:
- [ ] **Specific outcome** - Can measure success
- [ ] **Clear location** - Know where changes go
- [ ] **Defined scope** - Know what's in/out
- [ ] **Error handling** - Know what happens on failure
- [ ] **Edge cases** - Major scenarios covered
- [ ] **Dependencies** - Know what this affects/relies on
## ND-Friendly Adaptations
### Reduce Cognitive Load
- Maximum 4 options per question
- Always include "Other" escape hatch
- Provide examples, not just descriptions
### Support Working Memory
- Summarize frequently
- Reference earlier decisions explicitly
- Don't assume user remembers context
### Allow Processing Time
- Don't rapid-fire questions
- Validate answers before moving on
- Offer to revisit/change earlier answers
### Manage Overwhelm
- Offer to break into smaller sessions
- Prioritize must-haves vs nice-to-haves
- Provide "good enough for now" options