linxule

project-dashboard

1
0
# Install this skill:
npx skills add linxule/interpretive-orchestration --skill "project-dashboard"

Install specific skill from multi-skill repository

# Description

This skill should be used when users ask 'where am I?', 'what is my progress?', mentions 'status', 'dashboard', 'progress', wants to know if they are ready for the next stage, or needs an overview of their project state.

# SKILL.md


name: project-dashboard
description: "This skill should be used when users ask 'where am I?', 'what is my progress?', mentions 'status', 'dashboard', 'progress', wants to know if they are ready for the next stage, or needs an overview of their project state."


project-dashboard

Progress visualization and status reporting for qualitative research projects. Shows where you are in the sandwich methodology and what comes next.

When to Use

Use this skill when:
- User asks "where am I?" or "what's my progress?"
- User mentions "status", "dashboard", or "progress"
- User wants to know if they're ready for the next stage
- User needs an overview of their project state

Capabilities

  1. Progress Visualization - ASCII and structured progress display
  2. Readiness Checks - Determine if prerequisites are met
  3. Recommendations - Suggest next steps based on current state
  4. Statistics - Show coding counts, quotes, concepts

Scripts

calculate-progress.js

Calculate progress percentages for each stage.

node skills/project-dashboard/scripts/calculate-progress.js \
  --project-path /path/to/project

Returns:

{
  "stage1_progress": 85,
  "stage2_progress": 30,
  "stage3_progress": 0,
  "overall_progress": 38
}

generate-dashboard.js

Generate a formatted dashboard view.

node skills/project-dashboard/scripts/generate-dashboard.js \
  --project-path /path/to/project \
  --format ascii|json|markdown

check-readiness.js

Check readiness for stage transitions.

node skills/project-dashboard/scripts/check-readiness.js \
  --project-path /path/to/project \
  --target-stage stage2

Returns:

{
  "ready": true,
  "requirements_met": ["10+ documents", "memos written"],
  "requirements_missing": [],
  "recommendations": ["Consider more memos for depth"]
}

Dashboard Output

ASCII Format

The Sandwich Methodology
========================

     Stage 1: Human Foundation
     [========= ] 90%
     12 documents coded | 5 memos written
     Status: Ready for Stage 2!

     Stage 2: Human-AI Partnership
     [====      ] 40%
     Phase 1: Complete | Phase 2: In Progress | Phase 3: Not Started
     25 documents processed | 156 quotes extracted

     Stage 3: Human Synthesis
     [LOCKED    ]
     Complete Stage 2 to unlock

Next Steps:
- Continue Phase 2 synthesis work
- Review synthesized patterns before Phase 3

JSON Format

Full structured data for programmatic use.

Markdown Format

Formatted for documentation or export.

Progress Calculations

Stage 1 (0-100%)

  • Documents manually coded: 70% weight (target: 10)
  • Memos written: 30% weight (target: 3)
  • Formula: (docs/10 * 70) + (min(memos,3)/3 * 30)

Stage 2 (0-100%)

  • Phase 1 Parallel Streams: 33%
  • Phase 2 Synthesis: 33%
  • Phase 3 Pattern Characterization: 34%
  • Each phase: not_started=0, in_progress=50%, complete=100%

Stage 3 (0-100%)

  • Evidence organized: 33%
  • Theory developed: 33%
  • Manuscript drafted: 34%

Visualizations

Sandwich Progress

   🍞 HUMAN BREAD (Stage 1)     [COMPLETE]
      Your foundation is solid!

   πŸ§€ AI FILLING (Stage 2)      [IN PROGRESS]
      β”‚ Phase 1: βœ“ Parallel streams
      β”‚ Phase 2: β†’ Synthesis (current)
      β”‚ Phase 3: β—‹ Pattern characterization

   🍞 HUMAN BREAD (Stage 3)     [LOCKED]
      Awaiting Stage 2 completion

Concept Growth

Week 1: β–“β–“β–“           (15 concepts)
Week 2: β–“β–“β–“β–“β–“β–“        (28 concepts)
Week 3: β–“β–“β–“β–“β–“β–“β–“β–“      (35 concepts)
Week 4: β–“β–“β–“β–“β–“β–“β–“       (32 concepts - consolidation)

State Dependencies

This skill reads from:
- .interpretive-orchestration/config.json
- stage1-foundation/ directory contents
- stage2-collaboration/ directory contents

Use _shared/scripts/query-status.js for the underlying data.

Integration Points

  • _shared scripts - query-status.js provides core data
  • Commands - /qual-status triggers this skill
  • Hooks - Updates after significant actions
  • Commands: /qual-status is the main trigger
  • Skills: _shared/ provides underlying state queries
  • Agents: None directly

# Supported AI Coding Agents

This skill is compatible with the SKILL.md standard and works with all major AI coding agents:

Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.