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jrc1883

dashboard

by jrc1883

AI-powered development workflow automation for Claude Code. Modular plugin suite with 23 commands, 38 skills, and 22 specialized agents for professional software development.

2🍴 0📅 Jan 24, 2026

SKILL.md


name: dashboard description: "Multi-project dashboard for managing PopKit-enabled projects. Shows health scores, recent activity, and quick actions across all registered projects. Use when switching between projects, checking overall status, or managing project registry. Do NOT use if only working in a single project - use morning routine or next-action instead."

Multi-Project Dashboard

Overview

Provides a unified view across all PopKit-enabled projects, showing health scores, activity status, and enabling quick context switching.

Core principle: Quick status overview with actionable intelligence for multi-project developers.

Trigger: /popkit:dashboard command or skill invocation.

When to Use

Invoke this skill when:

  • Managing multiple projects
  • Need quick overview of all project statuses
  • Switching context between projects
  • Registering new projects
  • Checking for projects needing attention

Registry Management

The project registry is stored globally at ~/.claude/popkit/projects.json.

Step 1: Load Registry

from project_registry import load_registry, list_projects

# Load all registered projects
registry = load_registry()
projects = list_projects()

print(f"Total projects: {len(projects)}")

Step 2: Display Dashboard

Show the main dashboard view:

+===============================================================+
|                      PopKit Dashboard                          |
+===============================================================+

  Total: 5  |  Healthy: 3  |  Warning: 1  |  Critical: 1

  -------------------------------------------------------------
  | Project          | Health | Issues | Last Active   |
  -------------------------------------------------------------
  | popkit           | + 92   |   5    | 2 min ago     |
  | popkit-cloud     | ~ 78   |   3    | 1 hour ago    |
  | reseller-central | + 88   |  12    | 3 days ago    |
  | my-website       | ! 45   |   0    | 2 weeks ago   |
  -------------------------------------------------------------

  Commands: add <path> | remove <name> | refresh | switch <name>

Step 3: Health Score Calculation

Use the health calculator for detailed scores:

from health_calculator import calculate_health_score, calculate_quick_health

# Full health check (slower, more accurate)
result = calculate_health_score("/path/to/project")
print(f"Health: {result['score']}/100")

# Quick health check (git + activity only)
quick_score = calculate_quick_health("/path/to/project")
print(f"Quick Health: {quick_score}/100")

Health Score Breakdown

ComponentPointsCriteria
Git Status20Clean working tree (+20), uncommitted (-5/10 files), unpushed (-5/commit)
Build Status20Passed (+20), warnings (-2 each), failed (0)
Test Coverage20>80% (+20), 60-80% (+15), <60% (+10), none (+5)
Issue Health20No stale (+20), -2 per stale issue (>30 days)
Activity20Today (+20), week (+15), month (+10), older (+5)

Step 4: Refresh Issue Counts

Fetch fresh GitHub issue counts for all projects:

from project_registry import load_registry, refresh_project_issue_counts, save_registry

# Load registry
registry = load_registry()

# Fetch fresh issue counts for all projects
updated_count = refresh_project_issue_counts(registry)

# Save updated registry
save_registry(registry)

print(f"Updated issue counts for {updated_count} projects")

Cache Behavior:

  • Issue counts are cached for 15 minutes (TTL)
  • Dashboard displays cached counts when fresh (< 15 min)
  • Stale cache displays '--' until refreshed
  • Non-GitHub projects always show '--'

Performance Considerations:

  • Dashboard loads instantly (uses cache, no network calls)
  • Refresh fetches issue counts sequentially (~0.5s per project)
  • 10 projects refresh in ~5-10 seconds
  • Manual refresh gives user control over when to pay fetch cost
  • Falls back gracefully if gh CLI is unavailable

Subcommand Operations

Show Dashboard (Default)

/popkit:dashboard

Display the full dashboard with all projects, health scores, and quick actions.

Add Project

/popkit:dashboard add /path/to/project
/popkit:dashboard add . # Current directory

Register a project in the global registry. Auto-detects:

  • Project name from package.json/pyproject.toml
  • GitHub repo from git remote
  • Initial health score
from project_registry import add_project

success, message = add_project("/path/to/project", tags=["active"])
print(message)

Remove Project

/popkit:dashboard remove project-name

Remove a project from registry (does not delete files).

from project_registry import remove_project

success, message = remove_project("my-project")
print(message)

Refresh Health Scores

/popkit:dashboard refresh           # Refresh all
/popkit:dashboard refresh popkit    # Refresh one

Recalculate health scores for all or specific projects:

from project_registry import list_projects, update_health_score
from health_calculator import calculate_health_score

for project in list_projects():
    result = calculate_health_score(project["path"])
    update_health_score(project["name"], result["score"])
    print(f"{project['name']}: {result['score']}/100")

Switch Project

/popkit:dashboard switch project-name

Change context to a different project. Updates activity timestamp and provides project summary.

from project_registry import get_project, touch_project
import os

project = get_project("popkit")
if project:
    os.chdir(project["path"])
    touch_project(project["path"])
    print(f"Switched to: {project['name']}")

Auto-Discovery

Automatically discover projects in common locations:

from project_registry import discover_projects, add_project

# Search common dev directories
discovered = discover_projects()

for project in discovered:
    print(f"Found: {project['name']} at {project['path']}")

# Add discovered projects
for project in discovered:
    add_project(project["path"])

Output Format

Use AskUserQuestion for interactive operations:

Use AskUserQuestion tool with:
- question: "Which project would you like to switch to?"
- header: "Switch"
- options:
  - label: "popkit"
    description: "Health: 92 | Last active: 2 min ago"
  - label: "popkit-cloud"
    description: "Health: 78 | Last active: 1 hour ago"
  - label: "reseller-central"
    description: "Health: 88 | Last active: 3 days ago"
- multiSelect: false

Cross-Project Activity Feed

Show recent activity across all projects:

Recent Activity (across all projects)
-------------------------------------
| Project          | Action           | Time       |
|------------------|------------------|------------|
| popkit           | Closed #117      | 2 min ago  |
| popkit-cloud     | Pushed main      | 1 hour ago |
| reseller-central | Failed build     | 3 days ago |

Project Tags

Tag projects for filtering:

from project_registry import add_tag, get_projects_by_tag

# Add tags
add_tag("popkit", "active")
add_tag("reseller-central", "client-work")

# Filter by tag
active_projects = get_projects_by_tag("active")

Unhealthy Project Alerts

Identify projects needing attention:

from project_registry import get_unhealthy_projects

# Projects with health < 70
unhealthy = get_unhealthy_projects(threshold=70)

if unhealthy:
    print("Projects needing attention:")
    for p in unhealthy:
        print(f"  ! {p['name']}: {p['healthScore']}/100")

Settings

Configure dashboard behavior in registry:

{
  "settings": {
    "autoDiscover": true,
    "healthCheckInterval": "daily",
    "maxInactiveProjects": 20
  }
}

Error Handling

SituationResponse
No projects registeredSuggest /popkit:dashboard add .
Project path not foundRemove from registry with warning
Health check failsShow "--" for health, log error
gh CLI unavailableSkip issue counts
  • /popkit:dashboard command - User-facing wrapper
  • /popkit:routine morning - Single-project health check
  • /popkit:next - Context-aware recommendations
  • hooks/utils/project_registry.py - Registry CRUD operations
  • hooks/utils/health_calculator.py - Health score calculation

Score

Total Score

75/100

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