api-tracing
Instrument API requests with spans and distributed tracing. Use when tracking request latency or debugging API issues.
Best use case
api-tracing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Instrument API requests with spans and distributed tracing. Use when tracking request latency or debugging API issues.
Teams using api-tracing should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/api-tracing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How api-tracing Compares
| Feature / Agent | api-tracing | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Instrument API requests with spans and distributed tracing. Use when tracking request latency or debugging API issues.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# API Tracing Measure API requests and correlate with backend traces. ## What to Capture (OTel-Compatible) | Attribute | OTel Name | Purpose | |-----------|-----------|---------| | Method | `http.request.method` | GET, POST, etc. | | Status | `http.response.status_code` | Success/failure | | URL | `url.path` | Endpoint (sanitized) | | Duration | `http.request.duration` | Request time (ms) | Using OTel naming now = easier migration later. ## Key Thresholds | Metric | Good | Acceptable | Poor | |--------|------|------------|------| | p50 | <200ms | <500ms | >500ms | | p95 | <1s | <2s | >2s | | Error rate | <0.1% | <1% | >1% | ## What NOT to Log | Don't | Why | |-------|-----| | Request bodies | PII risk | | Auth headers | Security | | Full response data | Size limits | | User tokens | Security | **Do log:** Request ID, sanitized path, status code, duration, error type. ## Implementation See `templates/api-interceptor.ts` for fetch/axios interceptors. Use Read tool to load template when generating implementation. ## Related - `skills/error-tracking` - API error handling - `skills/route-transition-tracking` - Data fetch during navigation - `references/otel-web.md` - OpenTelemetry naming
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