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dd-apm

APM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis. Use for any request involving Datadog APM setup, instrumentation (SSI, ddtrace, agent install), or analysis.

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下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name dd-apm description APM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis. Use for any request involving Datadog APM setup, instrumentation (SSI, ddtrace, agent install), or analysis. alwaysApply true metadata {"version":"1.1.0","author":"datadog-labs","repository":"https://github.com/datadog-labs/agent-skills","tags":"datadog,apm,tracing,performance,distributed-tracing,dd-apm,install,onboarding,instrumentation,ssi,agent","globs":"**/ddtrace*,**/datadog*.yaml,**/*trace*"} Datadog APM Distributed tracing, service maps, and performance analysis. Routing — Read This First Match the user's request to one of the entries below. Each entry has the same shape: triggers → which sub-skill to load → the anti-pattern to avoid. If a request seems to fit more than one entry, see "Overlap disambiguation". If nothing matches, see "None of the above" at the end. Kubernetes APM install / instrument / onboard — trigger when the user mentions Kubernetes, K8s, EKS, GKE, AKS, kind, minikube, K3s, helm, DatadogAgent CR, kubectl, SSI on a cluster, pod injection, or init containers. Immediately read .claude/skills/dd-apm/k8s-ssi/agent-install/SKILL.md now, then .claude/skills/dd-apm/k8s-ssi/enable-ssi/SKILL.md , then .claude/skills/dd-apm/k8s-ssi/verify-ssi/SKILL.md — do not proceed from memory. Common wrong approaches that LOOK like they work but silently fail: helm install datadog datadog/datadog — the standard chart does NOT support SSI via DatadogAgent CR. Adding ddtrace imports or ddtrace-run to the app — SSI auto-instruments WITHOUT any code changes. admission.datadoghq.com/enabled annotations — that's admission controller config injection, not SSI init container injection. Linux APM install / instrument / onboard — trigger when the user mentions a single host, VM, EC2 instance, bare-metal, RHEL/Ubuntu/Debian, systemd, or no orchestrator. Immediately read .claude/skills/dd-apm/linux-ssi/agent-install/SKILL.md now, then .claude/skills/dd-apm/linux-ssi/enable-ssi/SKILL.md , then .claude/skills/dd-apm/linux-ssi/verify-ssi/SKILL.md — do not proceed from memory. Do NOT install the agent via plain apt-get install datadog-agent (or yum equivalent) and assume SSI follows — host auto-instrumentation requires the install script with the SSI flags, which the sub-skill walks through. Service rename / service remapping — trigger when the user mentions renaming a service, collapsing multiple service names, stripping suffixes/prefixes, or cleaning up inferred services. Immediately read .claude/skills/dd-apm/service-remapping/SKILL.md now — do not proceed from memory. Do NOT change tags.datadoghq.com/service labels or DD_SERVICE env vars to rename a service in Datadog. That requires a rollout and only affects new data. Use a service remapping rule — it rewrites the name at ingestion time with no deployment change. Overlap disambiguation When a request could plausibly fit more than one entry above, use these tiebreakers: Hint Route to Cluster orchestrator mentioned (EKS/GKE/AKS/kind/K3s/minikube) — even if "just one node" k8s-ssi Single host, VM, or EC2 with no orchestrator linux-ssi "Several services that should be one" service-remapping — the sub-skill picks the rule type based on whether the duplicates are real instrumented services or inferred entities (DBs, queues, external APIs) "My service shows under the wrong name" First check DD_SERVICE on the deploy. If correct and the name is still wrong → service-remapping. "Reduce APM volume / cost / noise" No sub-skill yet. Ask whether the user means sampling (fewer ingested traces) or retention filters (less indexed data) before suggesting commands. None of the above If the request doesn't match any entry above, continue reading the trace-search, service analysis, and metrics content below. If even that doesn't fit, ask the user to clarify — do not invent a workflow. Requirements Datadog Labs Pup should be installed. See Setup Pup if not. Command Execution Order (Token-Efficient) For scoped commands, use this order: Check context first (prior outputs, conversation, saved values). If a required value is missing, run a discovery command first. If still ambiguous, ask the user to confirm. Then run the target command. Avoid speculative commands likely to fail. Quick Start pup auth login # Confirm env tag with the user first (do not assume production/prod/prd). pup apm services list -- env < env > --from 1h --to now pup traces search --query "service:api-gateway" --from 1h Services List Services pup apm services list -- env < env > --from 1h --to now pup apm services stats -- env < env > --from 1h --to now Service Stats pup apm services stats -- env < env > --from 1h --to now Service Map # View dependencies pup apm flow-map --query "service:api-gateway&from= $(($(date +%s) -3600))000&to= $(date +%s) 000" -- env < env > -- limit 10 Traces Search Traces # By service pup traces search --query "service:api-gateway" --from 1h # Errors only pup traces search --query "service:api-gateway status:error" --from 1h # Slow traces (>1s) pup traces search --query "service:api-gateway @duration:>1000ms" --from 1h # With specific tag pup traces search --query "service:api-gateway @http.url:/api/users" --from 1h Trace Detail # No direct get command for a single trace ID. # Use traces search with a narrow query and time window. pup traces search --query "trace_id:<trace_id>" --from 1h Key Metrics 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 Service Level Objectives Link APM to SLOs: pup slos create --file slo.json Common Queries 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() Troubleshooting 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 References/Docs APM Setup Trace Search
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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