AugmentClaude
BackendDashboards

Claude Code Analytics

By serejaris· serejaris/personal-corp-skills· 0

Generate HTML reports showing your Claude Code usage, projects, and activity statistics.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.
    Install
    Sign up to copy
    Sign up free to reveal

    This copies the whole skill folder into ~/.claude/skills/cc-analytics-serejaris/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
    Sign up to copy
    Sign up free to reveal
  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

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"

What this skill does

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

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