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Skills analytics dashboard

Skill hardness1020/claude-skills-management/skills/skills-analytics-dashboard

Launch the skills analytics dashboard to view usage metrics, scores, and trendsFrom its SKILL.md

Install
npx -y skills add hardness1020/claude-skills-management --skill skills-analytics-dashboard

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 1 command, including `cd "${CLAUDE_PLUGIN_ROOT}" && CLAUDE_PLUGIN_DATA="${CLAUDE_PLUGIN_DATA}" uv run python -m django runserver 8787 --settings=dashboard.analytics_project.settings`.

SKILL.md

1.4 KB, 273 tokens by cl100k_base, as published. Nobody here has run it

skills-analytics-dashboard

Launch the skills analytics dashboard — a local web UI for viewing skill usage frequency, adoption curves, usefulness scores, trends, and structure coverage.

Usage

When the user asks to open or view the analytics dashboard, start the Django development server:

cd "${CLAUDE_PLUGIN_ROOT}" && CLAUDE_PLUGIN_DATA="${CLAUDE_PLUGIN_DATA}" uv run python -m django runserver 8787 --settings=dashboard.analytics_project.settings

Then tell the user:

The dashboard is running at http://localhost:8787

Open it in your browser to view:

  • Usefulness — composite scores with usage rate, decay, and depth breakdown
  • Usage — frequency rankings and time-series trends
  • Inventory — all registered skills with status and metadata

To stop the server, press Ctrl+C in the terminal or kill the process.

Notes

  • The dashboard reads from the shared SQLite database at ${CLAUDE_PLUGIN_DATA}/skills_analytics.db
  • Data is collected automatically by the plugin's hooks (PreToolUse and UserPromptSubmit)
  • The server runs on localhost only — no external access
  • Port 8787 is used by default; if it's busy, the server will report an error

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most analytics metrics skills give in 273 tokens

Counted across 333 of the 342 authors here whose files we hold, read 2026-09-06

  • Read product marketing context before asking questionsin 37 of 333, across 16 files
  • Test one variable at a timein 26 of 333, across 11 files
  • Pre-determine sample size before launchin 24 of 333, across 16 files
  • Verify tracking and QA variants before launchin 17 of 333, across 8 files
  • Monitor for technical issues during the testin 14 of 333, across 6 files
  • Match each save offer to the cancel reasonin 14 of 333, across 5 files
  • Start every test with a specific hypothesisin 14 of 333, across 7 files
  • Keep the continue-cancelling option visiblein 13 of 333, across 4 files
  • Document every test with hypothesis, variants, results, and learningsin 13 of 333, across 6 files
  • Gather churn, billing, product, usage, and constraint context firstin 12 of 333, across 3 files
  • Build a health score from weighted signalsin 12 of 333, across 3 files
  • Retry soft declines 3-5 times over 7-10 daysin 12 of 333, across 3 files

Said here and by no other author read

  • start the Django development server on port 8787
  • tell the user the dashboard URL
  • tell the user how to stop the server

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.