Cloud Devops
davila7/claude-code-templates
Cloud infrastructure and DevOps workflow covering AWS, Azure, GCP, Kubernetes, Terraform, CI/CD, monitoring, and cloud-native development.
Network flow analysis in Dynatrace across three sources: OneAgent flows (host/process/pod-to-peer connections in the defaultnetworkflows Grail bucket), NetFlow/IPFIX/sFlow (via an OpenTelemetry…
Install Dt Obs Network Flows
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-obs-network-flows --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dt-obs-network-flows .claude/skills/dt-obs-network-flows && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dt-obs-network-flows" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-obs-network-flows into .claude/skills/dt-obs-network-flows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-obs-network-flows", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-obs-network-flowsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-obs-network-flows --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dt-obs-network-flows .agents/skills/dt-obs-network-flows && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dt-obs-network-flows" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-obs-network-flows into .agents/skills/dt-obs-network-flows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-obs-network-flows", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-obs-network-flows --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dt-obs-network-flows .cursor/skills/dt-obs-network-flows && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dt-obs-network-flows" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-obs-network-flows into .cursor/skills/dt-obs-network-flows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-obs-network-flows", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Dynatrace/dynatrace-for-ai.git --path skills/dt-obs-network-flows--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-obs-network-flows --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dt-obs-network-flows .gemini/skills/dt-obs-network-flows && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dt-obs-network-flows" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-obs-network-flows into .gemini/skills/dt-obs-network-flows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-obs-network-flows", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Dynatrace/dynatrace-for-ai dt-obs-network-flowsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dt-obs-network-flows .github/skills/dt-obs-network-flows && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dt-obs-network-flows" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-obs-network-flows into .github/skills/dt-obs-network-flows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-obs-network-flows", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Dynatrace/dynatrace-for-ai dt-obs-network-flows --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Dynatrace/dynatrace-for-ai.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dt-obs-network-flows .opencode/skills/dt-obs-network-flows && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dt-obs-network-flows" agent skill from https://github.com/Dynatrace/dynatrace-for-ai/tree/main/skills/dt-obs-network-flows into .opencode/skills/dt-obs-network-flows/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dt-obs-network-flows", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dt-obs-network-flows- GitHub stars
- 162
- Token cost
- ~2k tokens
- SKILL.md length
- 723 words
- Files
- 8 (incl. references)
- Skills in repo
- 33
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Network flow analysis in Dynatrace across three sources: OneAgent flows (host/process/pod-to-peer connections in the defaultnetworkflows Grail bucket), NetFlow/IPFIX/sFlow (via an OpenTelemetry…
- Works in 3 steps: Is the traffic to/from a… → Is it device-level or from unmonitored… → Is it cloud-network / managed-service…
- Analyze traffic between entities
- SKILL.md covers What Network Flows Tell You, The Three Flow Sources, Related Network Data in… and Reference Files
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Dt Obs Network Flows is an agent skill from Dynatrace/dynatrace-for-ai. Network flow analysis in Dynatrace across three sources: OneAgent flows (host/process/pod-to-peer connections in the defaultnetworkflows Grail bucket), NetFlow/IPFIX/sFlow (via an OpenTelemetry Collector), and cloud flow logs (AWS VPC / Transit Gateway; Azure and GCP planned). Use to analyze traffic between entities, find top talkers by bandwidth, map communication dependencies, investigate connection health (resets, timeouts, retransmissions, RTT), and resolve peers to monitored entities. Routes each question to…
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files (for example `references/cloud-flows/aws/aws.md`, `references/cloud-flows/aws/configuration.md` and `references/netflow/configuration.md`).
It sits in DevOps & Cloud, covering Observability and Monitoring and alerting. It works with OpenTelemetry, Amazon Web Services, Google Cloud and Microsoft Azure. The repository describes itself as: Skills, prompts, and instructions for building AI agents on top of Dynatrace production context. The licence is Apache-2.0.
When your agent uses it
- Analyze traffic between entities
- Find top talkers by bandwidth
- Map communication dependencies
- Investigate connection health (resets
Example prompts
- “network flows”
- “top talkers”
- “traffic between hosts”
- “/dt-obs-network-flows”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Is the traffic to/from a OneAgent-monitored host, process, or pod? → OneAgent flows. See references/oneagent-flows/oneagent-flows.md.
- Is it device-level or from unmonitored hosts? → NetFlow. See references/netflow/netflow.md.
- Is it cloud-network / managed-service traffic? → Cloud flow logs (per provider). AWS: references/cloud-flows/aws/aws.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4f9aa71. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dt Obs Network Flows loads about 2k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 257 tokens; SKILL.md has 723 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Dynatrace/dynatrace-for-ai at commit 4f9aa71, republished under its Apache-2.0 licence (© Dynatrace). 723 words, ~1,952 tokens.
Download SKILL.mdSave it as
.claude/skills/dt-obs-network-flows/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- dt-obs-network-flows
- description
- Network flow analysis in Dynatrace across three sources: OneAgent flows (host/process/pod-to-peer connections in the `default_network_flows` Grail bucket), NetFlow/IPFIX/sFlow (via an OpenTelemetry Collector), and cloud flow logs (AWS VPC / Transit Gateway; Azure and GCP planned). Use to analyze traffic between entities, find top talkers by bandwidth, map communication dependencies, investigate connection health (resets, timeouts, retransmissions, RTT), and resolve peers to monitored entities. Routes each question to the right source; source-specific DQL lives in the reference files. Trigger: "network flows", "top talkers", "traffic between hosts", "connection resets", "TCP retransmissions", "RTT", "pod connections", "network dependencies", "NetFlow", "IPFIX", "sFlow", "VPC flow logs", "cloud network traffic". Do NOT use for host NIC throughput or packet drops (use dt-obs-hosts), service request rate or latency (use dt-obs-services), or synthetic/uptime monitoring (use dt-obs-ext-monitors).
- license
- Apache-2.0
Network Flows Skill
Analyze network traffic in Dynatrace across three flow data sources. This skill covers the use cases network flows enable and routes each question to the right source and reference file. The detailed, source-specific DQL lives in the reference files.
What Network Flows Tell You
Network flow data answers questions that metrics and traces cannot:
- Who talks to whom — communication dependencies between hosts, processes, pods, services, and external endpoints
- Top talkers — which entities generate the most traffic, by bytes or connection count
- Connection health — resets, timeouts, retransmissions, and round-trip time (RTT) per conversation
- Traffic composition — protocol (TCP/UDP), destination ports, direction (client vs server)
- Peer resolution — mapping raw IP:port peers back to monitored entities (host, process, pod, service) or flagging them as external
The Three Flow Sources
Choose the source based on where the traffic is and what is capturing it. When more than one applies, prefer the source with the richest entity context (usually OneAgent).
| Source | Captured by | Data location | Entity context | Use when |
|---|---|---|---|---|
| OneAgent flows | OneAgent network agent on the host | events in the default_network_flows Grail bucket | Rich — the capturing entity (client or server) resolved to host / process / pod smartscape IDs; the remote peer as IP:port | Traffic to/from OneAgent-monitored hosts, processes, or Kubernetes pods. The default and most detailed source. |
| NetFlow / IPFIX / sFlow | Network devices (switches, routers), ingested via an OpenTelemetry Collector | logs (otel.scope.name == "otelcol/netflowreceiver"; recommend routing to a dedicated bucket) | Device/interface level — raw IPs, exporter, interfaces; no smartscape entities | Traffic seen by network hardware. Covers east-west and north-south flows at the network layer. |
| Cloud flow logs | Cloud provider (AWS VPC / TGW; Azure, GCP not yet documented) | logs (log.type == "aws.vpc" / "aws.tgw"; recommend routing to a dedicated bucket) | Cloud resource level — VPC / subnet / AZ / ENI, TGW attachment; raw IPs, no smartscape entities | Traffic within/across cloud networks, including managed services and resources without an agent. |
Routing logic
- Is the traffic to/from a OneAgent-monitored host, process, or pod? → OneAgent flows. See references/oneagent-flows/oneagent-flows.md.
- Is it device-level or from unmonitored hosts? → NetFlow. See references/netflow/netflow.md.
- Is it cloud-network / managed-service traffic? → Cloud flow logs (per provider). AWS: references/cloud-flows/aws/aws.md.
The three sources overlap. A pod-to-pod flow may appear in both OneAgent flows (with full pod context) and cloud flow logs (as ENI-to-ENI). Lead with the source that carries the entity context the user needs, and mention the alternative only if the primary source has no data.
Show full SKILL.md (329 more words)Show less
Related Network Data in Dynatrace
Network flows are one part of Dynatrace's network observability. Route to these when the question is not about flows:
| The user wants… | Use |
|---|---|
| Host NIC throughput, link utilization, packet drops/errors | dt-obs-hosts → references/host-metrics.md (Network Monitoring section) |
| Process-level network I/O and TCP connection quality metrics | dt-obs-hosts → references/process-monitoring.md |
| Kubernetes pod connections and cluster network topology | dt-obs-kubernetes |
| Service request rate, latency, error rate | dt-obs-services |
| External / synthetic uptime and network-availability monitors | dt-obs-ext-monitors |
| Network devices — switches, routers, firewalls (SNMP/monitoring) | dt-obs-network-devices (planned — not yet available) |
A future macro
dt-obs-networkskill may connect all network concepts (devices, hosts/process/pod metrics, flows, availability monitors, cloud network monitoring). Until it exists, this skill carries the flow-specific cross-links above.
Reference Files
references/oneagent-flows/oneagent-flows.md — Validated. Data model, field reference, and DQL for the
default_network_flowsbucket: top talkers, traffic maps, protocol/port breakdowns, connection health (resets/timeouts/retransmissions/RTT), bandwidth in bps, and which side of a flow is the peer.references/peer-resolution/peer-resolution.md — Validated. Shared Smartscape lookups that resolve a raw flow IP (and optional port) to a monitored host, process, Kubernetes pod, or service (host → pod → service → external). Used by both OneAgent flows and NetFlow.
references/oneagent-flows/configuration.md — Enabling and tuning
builtin:network-connection-monitoring(the setting that produces OneAgent flow data).references/netflow/netflow.md — Validated. NetFlow/IPFIX/sFlow ingested via an OpenTelemetry Collector into
logs: data model, direction semantics (unidirectional, no client/server role), and DQL for top conversations/talkers/ports, protocol breakdowns, traffic-over-time, and per-exporter/per-interface views.references/netflow/configuration.md — OTel Collector
netflow-receiver ingestion path and the dedicated-bucket routing recommendation for netflow logs.references/cloud-flows/aws/aws.md — Validated (AWS). AWS VPC Flow Logs and Transit Gateway flow logs ingested into
logs:aws.vpc/aws.tgwfield model (incl.pkt_srcaddrvssrcaddr,log_statusfiltering), and DQL for top conversations/talkers/ports, rejected-traffic (security), egresstraffic_path, per-VPC/subnet/AZ, inter-VPC, traffic-over-time, and TGW packet-loss. Also AWS entity resolution — ENI/instance by id or IP-in-aws.object— for agentless resources the shared peer lookups miss.references/cloud-flows/aws/configuration.md — Amazon Data Firehose ingestion path for AWS flow logs and the dedicated-bucket routing recommendation.
(Azure NSG/VNet and GCP VPC flow logs are not yet documented; add them as sibling
cloud-flows/<provider>/folders when tenant data is available.)
© Dynatrace, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 7 other files (references) in skills/dt-obs-network-flows of Dynatrace/dynatrace-for-ai.
- SKILL.md
- references/cloud-flows/aws/aws.md
- references/cloud-flows/aws/configuration.md
- references/netflow/configuration.md
- references/netflow/netflow.md
- references/oneagent-flows/configuration.md
- references/oneagent-flows/oneagent-flows.md
- references/peer-resolution/peer-resolution.md
Open the folder on GitHubat commit 4f9aa71
Compare with similar skills
Dt Obs Network Flows next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dt Obs Network Flows this skillDynatrace/dynatrace-for-ai | 162 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Cloud Devopsdavila7/claude-code-templates | 32k | 4 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Logfire Infrastructurepydantic/skills | 140 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Database Observabilitygrafana/skills | 281 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Infrastructuregrafana/skills | 281 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Private Connectivitygrafana/skills | 281 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Dt Obs Network Flows
What does Dt Obs Network Flows do?
Network flow analysis in Dynatrace across three sources: OneAgent flows (host/process/pod-to-peer connections in the defaultnetworkflows Grail bucket), NetFlow/IPFIX/sFlow (via an OpenTelemetry…. Dt Obs Network Flows is an agent skill from Dynatrace/dynatrace-for-ai. Network flow analysis in Dynatrace across three sources: OneAgent flows (host/process/pod-to-peer connections in the defaultnetworkflows Grail bucket), NetFlow/IPFIX/sFlow (via an OpenTelemetry Collector), and cloud flow logs (AWS VPC / Transit Gateway; Azure and GCP planned).
When should I use Dt Obs Network Flows?
Dt Obs Network Flows fits situations like: analyze traffic between entities; find top talkers by bandwidth; map communication dependencies; investigate connection health (resets.
How do I install Dt Obs Network Flows in Claude Code?
Run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a claude-code`. Or copy the skill folder (skills/dt-obs-network-flows in Dynatrace/dynatrace-for-ai) into .claude/skills/dt-obs-network-flows in your project. Claude Code loads it when a task matches its description.
How do I install Dt Obs Network Flows in Codex?
Run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a codex`. Or copy the skill folder (skills/dt-obs-network-flows in Dynatrace/dynatrace-for-ai) into .agents/skills/dt-obs-network-flows in your project. Codex loads it when a task matches its description.
Can I use Dt Obs Network Flows in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Dynatrace/dynatrace-for-ai --skill dt-obs-network-flows -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dt-obs-network-flows, .gemini/skills/dt-obs-network-flows, .github/skills/dt-obs-network-flows and .opencode/skills/dt-obs-network-flows in your project.
What does Dt Obs Network Flows need to run?
SKILL.md names no scripts, command-line tools or credentials: Dt Obs Network Flows is instructions for the agent only.
Does Dt Obs Network Flows access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Dt Obs Network Flows safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Dt Obs Network Flows use?
Dt Obs Network Flows is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dt Obs Network Flows use?
About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 16k tokens, read only when the agent opens those files.
What are the alternatives to Dt Obs Network Flows?
Skills that share tags, products or a category with Dt Obs Network Flows: Cloud Devops (davila7/claude-code-templates, 32k stars), Logfire Infrastructure (pydantic/skills, 140 stars), Database Observability (grafana/skills, 281 stars) and Infrastructure (grafana/skills, 281 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dt Obs Network Flows?
Dynatrace (a GitHub organization) maintains it in Dynatrace/dynatrace-for-ai, which has 162 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 1, 2026.
Source: Dynatrace/dynatrace-for-ai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.