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/diegosouzapw/awesome-omni-skill --skill dd-apm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。
Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
基于 SOC 职业分类
正在显示 SKILL.md
| name | dd-apm |
| description | APM - traces, services, dependencies, performance analysis. |
| metadata | {"version":"1.0.0","author":"datadog-labs","repository":"https://github.com/datadog-labs/agent-skills","tags":"datadog,apm,tracing,performance,distributed-tracing,dd-apm","globs":"**/ddtrace*,**/datadog*.yaml,**/*trace*","alwaysApply":"false"} |
Distributed tracing, service maps, and performance analysis.
Datadog Labs Pup should be installed via:
go install github.com/datadog-labs/pup@latest
pup auth login
pup apm services list
pup apm traces list --service api-gateway --duration 1h
pup apm services list
pup apm services list --env production
pup apm services get api-gateway --json
# View dependencies
pup apm service-map --service api-gateway --json
# By service
pup apm traces list --service api-gateway --duration 1h
# Errors only
pup apm traces list --service api-gateway --status error
# Slow traces (>1s)
pup apm traces list --service api-gateway --min-duration 1000ms
# With specific tag
pup apm traces list --query "@http.url:/api/users"
pup apm traces get <trace_id> --json
| Metric | What It Measures |
|---|---|
trace.http.request.hits | Request count |
trace.http.request.duration | Latency |
trace.http.request.errors | Error count |
trace.http.request.apdex | User satisfaction |
Not all traces are kept. Understand sampling:
| Mode | What's Kept |
|---|---|
| Head-based | Random % at start |
| Error/Slow | All errors, slow traces |
| Retention | What's indexed (billed) |
# Check retention filters
pup apm retention-filters list
| Retention | Cost |
|---|---|
| Indexed spans | $$$ per million |
| Ingested spans | $ per million |
Best practice: Only index what you need for search.
Link APM to SLOs:
pup slos create \
--name "API Latency p99 < 200ms" \
--type metric \
--numerator "sum:trace.http.request.hits{service:api,@duration:<200000000}" \
--denominator "sum:trace.http.request.hits{service:api}" \
--target 99.0
| Goal | Query |
|---|---|
| Slowest endpoints | avg:trace.http.request.duration{*} by {resource_name} |
| Error rate | sum:trace.http.request.errors{*} / sum:trace.http.request.hits{*} |
| Throughput | sum:trace.http.request.hits{*}.as_rate() |
| Problem | Fix |
|---|---|
| No traces | Check ddtrace installed, DD_TRACE_ENABLED=true |
| Missing service | Verify DD_SERVICE env var |
| Traces not linked | Check trace headers propagated |
| High cardinality | Don't tag with user_id/request_id |