Skill
paperclip-api
Use when managing Paperclip AI agent companies - creating tasks, managing agents, approving hires, running heartbeats, or any Paperclip control-plane…
@serejarisView SkillProductivity
Skill
/cc-analytics
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
Install
$ npx -y skills add serejaris/personal-corp-os --skill cc-analytics --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/cc-analytics
Context preview
The summary Claude sees to decide when to auto-load this skill.
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
SKILL.md
cc-analytics.SKILL.mdname: cc-analytics
description: 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"
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 1HTML 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 █████████████████████████████████████▋ 183Usage
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
Read more
name: cc-analytics description: 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"
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 1HTML 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 █████████████████████████████████████▋ 183Usage
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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