Cloudflare Agent Skill
| Index of Cloudflare-platform skills relevant to this repo. Load when working on anything that touches Workers, Durable Objects, wrangler, the sandbox SDK, the agents SDK, or other Cloudflare platform surface. Triggers include "Cloudflare", "Workers", "Durable Object", "wrangler", "KV", "R2", "D1", "Vectorize", "Containers", "sandbox".
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/cloudflare/computer --skill cloudflareThe instruction itself
5 sections, as written by the authorCloudflare platform skills
This repo is built on Cloudflare Workers and Durable Objects. The
authoritative platform guidance lives in the cloudflare/skills
repository rather than vendored into this repo, so it stays current.
This file is an index — open the relevant skill below when its trigger
applies and read its SKILL.md before starting work.
If a skill isn't already available in your environment, fetch it from
the URL listed and load it manually. The fallback for everything is
the official Cloudflare documentation at
<https://developers.cloudflare.com>.
Primary skills
These three cover almost every change in this repo:
| Skill | Load when |
|---|---|
| durable-objects | Writing or reviewing Durable Object code: RPC methods, SQLite storage, alarms, WebSockets, hibernation. Most work in packages/dofs and packages/computer qualifies. |
| workers-best-practices | Writing or reviewing Worker code: streaming, floating promises, global state, bindings, secrets, observability, wrangler.jsonc configuration. |
| agents-sdk | Building on the Cloudflare Agents SDK: stateful agents, Workflows integration, scheduled tasks, MCP servers. Relevant to examples/think. |
Other skills
Load these when their trigger applies:
| Skill | Load when |
|---|---|
| wrangler | Running wrangler commands: deploy, dev, secrets, bindings for KV, R2, D1, Vectorize, Hyperdrive, Queues, Workflows, Containers. |
| cloudflare | General Cloudflare platform questions outside the more specific skills above — KV, R2, D1, Vectorize, networking, security, infrastructure-as-code. |
| sandbox-sdk | Building or reviewing sandboxed-execution code paths. Relevant to examples/container and to the computerd container model in general. |
| web-perf | Profiling page load, Core Web Vitals, or render-blocking issues. Rarely relevant in this repo, but listed for completeness. |
| cloudflare-email-service | Working with Cloudflare Email Routing or the Email Workers binding. Not currently used in this repo. |
How this maps to the repo
packages/dofsis a Durable Object with SQLite storage. Load
before changing storage shape, RPC methods, or alarm handling.
for the surrounding Worker glue.
packages/computerruns inside the Durable Object and
exposes the capnweb WorkspaceRPC to computerd. Load
for the hosting model and the capnweb
skill for the RPC surface itself.
packages/computerdruns in a sandbox container, not in a Worker.
Load sandbox-sdk
if you're working on the container boundary; the FUSE and
HTTP/WebSocket internals are local to the package.
examples/thinkis an agent. Load
when changing it.
- Deploys, secrets, bindings. Load
before running wrangler commands or editing wrangler.jsonc.
When to escalate
If you're about to write something that crosses two Cloudflare
surfaces — say, a Worker that wakes a Durable Object that talks to a
container — load both relevant skills before starting. The skills are
small; loading two is cheaper than fixing an architectural mistake.
Other skills for the same job
different authors, same section of the catalogue
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
How to use it
Take cloudflare/computer-cloudflare from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.