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serejarisserejaris/ris-claude-code/skills/cc-analytics/SKILL.md

cc-analytics

Skill243 starsChanged 3 months agoMITView on GitHub

Use when user asks for Claude Code usage stats, weekly analytics, project activity summary, or wants to see what projects were worked on. Triggers on "аналитика", "статистика claude", "cc stats", "weekly report", "что делал

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run this Python script to generate the report:

    line 25
  2. Distinctive:

    Use terminal aesthetic with:

    line 95
  3. Distinctive:

    Run Python script to collect data

    line 174
  4. Distinctive:

    Columns: Add/remove metrics in grid

    line 184

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Claude Code Analytics

Generate HTML report of Claude Code usage from ~/.claude/history.jsonl.

Data Sources

  • History: ~/.claude/history.jsonl — prompts with timestamps and project paths
  • Git: Remote URLs and commit counts per project

Output

Single HTML file with terminal aesthetic:

  • ASCII art header
  • Summary stats (projects, prompts, commits, days)
  • Project table with remote links
  • ASCII bar chart

Generation Script

Run this Python script to generate the report:

import json
import os
import subprocess
from datetime import datetime, timedelta
from collections import defaultdict

def get_git_info(path):
    if not os.path.isdir(path) or not os.path.exists(os.path.join(path, '.git')):
        return None, 0
    try:
        result = subprocess.run(['git', '-C', path, 'remote', 'get-url', 'origin'],
                                capture_output=True, text=True, timeout=5)
        remote = result.stdout.strip() if result.returncode == 0 else None
        if remote:
            remote = remote.replace('git@github.com:', 'github.com/').replace('.git', '').replace('https://', '')

        week_ago = (datetime.now() - timedelta(days=7)).strftime('%Y-%m-%d')
        result = subprocess.run(['git', '-C', path, 'rev-list', '--count', f'--since={week_ago}', 'HEAD'],
                                capture_output=True, text=True, timeout=5)
        commits = int(result.stdout.strip()) if result.returncode == 0 else 0
        return remote, commits
    except:
        return None, 0

# Parse history
history = []
with open(os.path.expanduser('~/.claude/history.jsonl'), 'r') as f:
    for line in f:
        try:
            history.append(json.loads(line))
        except:
            pass

# Filter last N days (default 7)
days = 7
now = datetime.now()
cutoff = (now - timedelta(days=days)).timestamp() * 1000

projects = defaultdict(lambda: {'prompts': [], 'sessions': set()})
for entry in history:
    ts = entry.get('timestamp', 0)
    if ts >= cutoff:
        project = entry.get('project', 'unknown')
        projects[project]['prompts'].append(entry)
        projects[project]['sessions'].add(datetime.fromtimestamp(ts/1000).strftime('%Y-%m-%d'))

# Collect data
results = []
total_commits = 0
for project, data in projects.items():
    remote, commits = get_git_info(project)
    total_commits += commits
    results.append({
        'name': os.path.basename(project) or project.replace('/Users/ris/', '~/'),
        'folder': project.replace('/Users/ris/', '~/'),
        'remote': remote,
        'prompts': len(data['prompts']),
        'sessions': len(data['sessions']),
        'commits': commits
    })

results.sort(key=lambda x: -x['prompts'])
max_prompts = results[0]['prompts'] if results else 1

HTML Template

Use terminal aesthetic with:

  • Monospace system fonts: 'SF Mono', 'Monaco', 'Inconsolata', monospace
  • Dark background: #0d0d0d
  • Muted colors: #b0b0b0 (text), #555 (dim), #4ec9b0 (cyan), #ce9178 (orange)
  • ASCII box-drawing for header
  • $ command --flags style section headers
  • ASCII bar chart using █ characters
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>claude-analytics</title>
  <style>
    body {
      font-family: 'SF Mono', 'Monaco', 'Inconsolata', monospace;
      background: #0d0d0d;
      color: #b0b0b0;
      font-size: 14px;
      line-height: 1.6;
      padding: 24px;
    }
    .container { max-width: 900px; margin: 0 auto; }
    .header { color: #6a9955; margin-bottom: 24px; }
    .dim { color: #555; }
    .bright { color: #e0e0e0; }
    .cyan { color: #4ec9b0; }
    .orange { color: #ce9178; }
    .row {
      display: grid;
      grid-template-columns: 24px 200px 1fr 80px 80px 60px;
      gap: 8px;
      padding: 6px 0;
      border-bottom: 1px solid #1a1a1a;
    }
    .row:hover { background: #141414; }
    a { color: #555; text-decoration: none; }
    a:hover { color: #888; }
    .stat-box { display: inline-block; margin-right: 32px; }
    .stat-value { font-size: 28px; color: #e0e0e0; }
    .stat-label { color: #555; font-size: 12px; }
  </style>
</head>
<body>
  <div class="container">
    <pre class="header">
┌─────────────────────────────────────────────────────────────────┐
│   ██████╗██╗      █████╗ ██╗   ██╗██████╗ ███████╗              │
│  ██╔════╝██║     ██╔══██╗██║   ██║██╔══██╗██╔════╝              │
│  ██║     ██║     ███████║██║   ██║██║  ██║█████╗                │
│  ██║     ██║     ██╔══██║██║   ██║██║  ██║██╔══╝                │
│  ╚██████╗███████╗██║  ██║╚██████╔╝██████╔╝███████╗              │
│   ╚═════╝╚══════╝╚═╝  ╚═╝ ╚═════╝ ╚═════╝ ╚══════╝              │
│   Weekly Analytics Report                                       │
│   {start_date} .. {end_date}                                    │
└─────────────────────────────────────────────────────────────────┘
</pre>
    <!-- Stats, table, chart sections -->
  </div>
</body>
</html>

Bar Chart Generation

def make_bar(value, max_val, width=40):
    filled = int((value / max_val) * width)
    return '█' * filled

# Example output:
# cohorts          ████████████████████████████████████████ 194
# ai-whisper       █████████████████████████████████████▋ 183

Usage

  1. User asks for analytics: "покажи статистику cc", "weekly report", "что делал за неделю"
  2. Run Python script to collect data
  3. Generate HTML with template
  4. Save to ~/claude-analytics.html
  5. Open in browser: open ~/claude-analytics.html

Customization

  • Period: Change days = 7 to desired range
  • Output path: Change save location
  • Colors: Adjust CSS variables
  • Columns: Add/remove metrics in grid

Download now (ZIP)

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