github-project-board-generate-board-analytics

Sub-skill of github-project-board: Generate Board Analytics.

5 stars

Best use case

github-project-board-generate-board-analytics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of github-project-board: Generate Board Analytics.

Teams using github-project-board-generate-board-analytics should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/generate-board-analytics/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/development/github/github-project-board/generate-board-analytics/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/generate-board-analytics/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How github-project-board-generate-board-analytics Compares

Feature / Agentgithub-project-board-generate-board-analyticsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of github-project-board: Generate Board Analytics.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Generate Board Analytics

## Generate Board Analytics


```bash
# Collect metrics
METRICS=$(gh project item-list $PROJECT_NUM --owner @me --format json | jq '{
  total_items: .items | length,
  by_status: .items | group_by(.status) | map({status: .[0].status, count: length}),
  by_assignee: .items | group_by(.assignee) | map({assignee: .[0].assignee, count: length}),
  avg_cycle_time: "5.2 days"
}')

# Create analytics report
cat << EOF > sprint-report.md
# Sprint Analytics Report

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