Cloudflare

OpenAIOfficialCreated by CloudflareDistributed by OpenAI

Skill
Tool integration
Cloud and DevOps
Apache-2.0
Medium risk

From the author

Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare development task. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

— the description by Cloudflare

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The Cloudflare platform skill provides a centralized resource for developers building on Cloudflare's edge network. It covers the full ecosystem, including compute (Workers, Pages), storage (KV, D1, R2), AI integration (Workers AI, Agents SDK), networking, and security. The skill emphasizes a retrieval-first approach, directing users to official Cloudflare documentation and configuration schemas to ensure accuracy regarding API signatures, limits, and pricing.

What it does

Provides decision trees to help select the right Cloudflare product for specific compute, storage, or networking needs.
Offers structured references for the Cloudflare Agents SDK, including lifecycle hooks and state management.
Guides users on integrating AI models and vector databases into edge applications.
Outlines methods for managing infrastructure-as-code using Terraform or Pulumi.
Facilitates access to product-specific documentation for security, media, and analytics services.
Maintains a directory of developer tools like Wrangler and Miniflare for local development and testing.

When to use it

When starting a new project on the Cloudflare platform and needing to choose the appropriate architecture.
When implementing stateful AI agents using the Cloudflare Agents SDK.
When configuring edge compute, storage bindings, or networking rules.
When troubleshooting API limits, configuration errors, or deployment issues.
When integrating AI models or vector search into existing edge applications.

Advantages

Consolidates a vast ecosystem into a navigable, task-oriented structure.
Promotes the use of official, up-to-date documentation over potentially stale training data.
Simplifies complex architectural decisions through clear, logic-based decision trees.
Provides specific code patterns for advanced features like Durable Objects and AI agents.
Supports modern infrastructure-as-code workflows for consistent deployments.

Usage examples

“I need to build a stateful AI chat agent on Cloudflare. How do I start?”: The agent will guide you to use the AIChatAgent class from the Agents SDK, explain how to manage message history, and provide a template for integrating AI models.
“Which storage solution should I use for relational data in my Worker?”: The agent will point you to D1 for SQLite-based relational storage or Hyperdrive for connecting to existing Postgres/MySQL databases.
“How do I expose my local development server to the internet via Cloudflare?”: The agent will provide instructions on using Cloudflare Tunnel to securely connect your local service to the Cloudflare edge.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/cloudflare/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip cloudflare.zip -d .agents/skills

Documentation by Cloudflare

Cloudflare Platform Skill

Consolidated skill for building on the Cloudflare platform. Use decision trees below to find the right product, then load detailed references.

Your knowledge of Cloudflare APIs, types, limits, and pricing may be outdated. Prefer retrieval over pre-training — the references in this skill are starting points, not source of truth.

Retrieval Sources

Fetch the latest information before citing specific numbers, API signatures, or configuration options. Do not rely on baked-in knowledge or these reference files alone.

Source	How to retrieve	Use for
Cloudflare docs	Search `https://developers.cloudflare.com/` directly	Limits, pricing, API reference, compatibility dates/flags
Workers types	`npm pack @cloudflare/workers-types` or check `node_modules`	Type signatures, binding shapes, handler types
Wrangler config schema	`node_modules/wrangler/config-schema.json`	Config fields, binding shapes, allowed values
Product changelogs	`https://developers.cloudflare.com/changelog/`	Recent changes to limits, features, deprecations

When a reference file and the docs disagree, trust the docs. This is especially important for: numeric limits, pricing tiers, type signatures, and configuration options.

Quick Decision Trees

"I need to run code"

Need to run code?
├─ Serverless functions at the edge → workers/
├─ Full-stack web app with Git deploys → pages/
├─ Stateful coordination/real-time → durable-objects/
├─ Long-running multi-step jobs → workflows/
├─ Run containers → containers/
├─ Multi-tenant (customers deploy code) → workers-for-platforms/
├─ Scheduled tasks (cron) → cron-triggers/
├─ Lightweight edge logic (modify HTTP) → snippets/
├─ Process Worker execution events (logs/observability) → tail-workers/
└─ Optimize latency to backend infrastructure → smart-placement/

"I need to store data"

Need storage?
├─ Key-value (config, sessions, cache) → kv/
├─ Relational SQL → d1/ (SQLite) or hyperdrive/ (existing Postgres/MySQL)
├─ Object/file storage (S3-compatible) → r2/
├─ Message queue (async processing) → queues/
├─ Vector embeddings (AI/semantic search) → vectorize/
├─ Strongly-consistent per-entity state → durable-objects/ (DO storage)
├─ Secrets management → secrets-store/
├─ Streaming ETL to R2 → pipelines/
└─ Persistent cache (long-term retention) → cache-reserve/

"I need AI/ML"

Need AI?
├─ Run inference (LLMs, embeddings, images) → workers-ai/
├─ Vector database for RAG/search → vectorize/
├─ Build stateful AI agents → agents-sdk/
├─ Gateway for any AI provider (caching, routing) → ai-gateway/
└─ AI-powered search widget → ai-search/

"I need networking/connectivity"

Need networking?
├─ Expose local service to internet → tunnel/
├─ TCP/UDP proxy (non-HTTP) → spectrum/
├─ WebRTC TURN server → turn/
├─ Private network connectivity → network-interconnect/
├─ Optimize routing → argo-smart-routing/
├─ Optimize latency to backend (not user) → smart-placement/
└─ Real-time video/audio → realtimekit/ or realtime-sfu/

"I need security"

Need security?
├─ Web Application Firewall → waf/
├─ DDoS protection → ddos/
├─ Bot detection/management → bot-management/
├─ API protection → api-shield/
├─ CAPTCHA alternative → turnstile/
└─ Credential leak detection → waf/ (managed ruleset)

"I need media/content"

Need media?
├─ Image optimization/transformation → images/
├─ Video streaming/encoding → stream/
├─ Browser automation/screenshots → browser-rendering/
└─ Third-party script management → zaraz/

"I need analytics/metrics data"

Need analytics?
├─ Query across all Cloudflare products (HTTP, Workers, DNS, etc.) → graphql-api/
├─ Custom high-cardinality metrics from Workers → analytics-engine/
├─ Client-side (RUM) performance data → web-analytics/
├─ Workers Logs and real-time debugging → observability/
└─ Raw logs (Logpush to external tools) → Cloudflare docs

"I need infrastructure-as-code"

Need IaC? → pulumi/ (Pulumi), terraform/ (Terraform), or api/ (REST API)

Product Index

Compute & Runtime

Product	Reference
Workers	`references/workers/`
Pages	`references/pages/`
Pages Functions	`references/pages-functions/`
Durable Objects	`references/durable-objects/`
Workflows	`references/workflows/`
Containers	`references/containers/`
Workers for Platforms	`references/workers-for-platforms/`
Cron Triggers	`references/cron-triggers/`
Tail Workers	`references/tail-workers/`
Snippets	`references/snippets/`
Smart Placement	`references/smart-placement/`

Storage & Data

Product	Reference
KV	`references/kv/`
D1	`references/d1/`
R2	`references/r2/`
Queues	`references/queues/`
Hyperdrive	`references/hyperdrive/`
DO Storage	`references/do-storage/`
Secrets Store	`references/secrets-store/`
Pipelines	`references/pipelines/`
R2 Data Catalog	`references/r2-data-catalog/`
R2 SQL	`references/r2-sql/`

AI & Machine Learning

Product	Reference
Workers AI	`references/workers-ai/`
Vectorize	`references/vectorize/`
Agents SDK	`references/agents-sdk/`
AI Gateway	`references/ai-gateway/`
AI Search	`references/ai-search/`

Networking & Connectivity

Product	Reference
Tunnel	`references/tunnel/`
Spectrum	`references/spectrum/`
TURN	`references/turn/`
Network Interconnect	`references/network-interconnect/`
Argo Smart Routing	`references/argo-smart-routing/`
Workers VPC	`references/workers-vpc/`

Security

Product	Reference
WAF	`references/waf/`
DDoS Protection	`references/ddos/`
Bot Management	`references/bot-management/`
API Shield	`references/api-shield/`
Turnstile	`references/turnstile/`

Media & Content

Product	Reference
Images	`references/images/`
Stream	`references/stream/`
Browser Rendering	`references/browser-rendering/`
Zaraz	`references/zaraz/`

Real-Time Communication

Product	Reference
RealtimeKit	`references/realtimekit/`
Realtime SFU	`references/realtime-sfu/`

Developer Tools

Product	Reference
Wrangler	`references/wrangler/`
Miniflare	`references/miniflare/`
C3	`references/c3/`
Observability	`references/observability/`
GraphQL Analytics API	`references/graphql-api/`
Analytics Engine	`references/analytics-engine/`
Web Analytics	`references/web-analytics/`
Sandbox	`references/sandbox/`
Workerd	`references/workerd/`
Workers Playground	`references/workers-playground/`

Infrastructure as Code

Product	Reference
Pulumi	`references/pulumi/`
Terraform	`references/terraform/`
API	`references/api/`

Other Services

Product	Reference
Email Routing	`references/email-routing/`
Email Workers	`references/email-workers/`
Static Assets	`references/static-assets/`
Bindings	`references/bindings/`
Cache Reserve	`references/cache-reserve/`

Files

ATTRIBUTION.mdAdded by AutoGineer906 B
LICENSE.txt10.5 KiB
SKILL.md8.0 KiB
agents/openai.yaml375 B
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assets/cloudflare.png1.2 KiB
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references/r2-data-catalog/README.md

Cloudflare R2 Data Catalog Skill Reference

Expert guidance for Cloudflare R2 Data Catalog - Apache Iceberg catalog built into R2 buckets.

Reading Order

New to R2 Data Catalog? Start here:

Read "What is R2 Data Catalog?" and "When to Use" below
configuration.md - Enable catalog, create tokens
patterns.md - PyIceberg setup and common patterns
api.md - REST API reference as needed
gotchas.md - Troubleshooting when issues arise

Quick reference? Jump to:

What is R2 Data Catalog?

R2 Data Catalog is a managed Apache Iceberg REST catalog built directly into R2 buckets. It provides:

Apache Iceberg tables - ACID transactions, schema evolution, time-travel queries
Zero-egress costs - Query from any cloud/region without data transfer fees
Standard REST API - Works with Spark, PyIceberg, Snowflake, Trino, DuckDB
No infrastructure - Fully managed, no catalog servers to run
Public beta - Available to all R2 subscribers, no extra cost beyond R2 storage

What is Apache Iceberg?

Open table format for analytics datasets in object storage. Features:

ACID transactions - Safe concurrent reads/writes
Metadata optimization - Fast queries without full scans
Schema evolution - Add/rename/delete columns without rewrites
Time-travel - Query historical snapshots
Partitioning - Organize data for efficient queries

When to Use

Use R2 Data Catalog for:

Log analytics - Store and query application/system logs
Data lakes/warehouses - Analytical datasets queried by multiple engines
BI pipelines - Aggregate data for dashboards and reports
Multi-cloud analytics - Share data across clouds without egress fees
Time-series data - Event streams, metrics, sensor data

Don't use for:

Transactional workloads - Use D1 or external database instead
Sub-second latency - Iceberg optimized for batch/analytical queries
Small datasets (<1GB) - Setup overhead not worth it
Unstructured data - Store files directly in R2, not as Iceberg tables

Architecture

┌─────────────────────────────────────────────────┐
│  Query Engines                                  │
│  (PyIceberg, Spark, Trino, Snowflake, DuckDB)  │
└────────────────┬────────────────────────────────┘
                 │
                 │ REST API (OAuth2 token)
                 ▼
┌─────────────────────────────────────────────────┐
│  R2 Data Catalog (Managed Iceberg REST Catalog)│
│  • Namespace/table metadata                     │
│  • Transaction coordination                     │
│  • Snapshot management                          │
└────────────────┬────────────────────────────────┘
                 │
                 │ Vended credentials
                 ▼
┌─────────────────────────────────────────────────┐
│  R2 Bucket Storage                              │
│  • Parquet data files                           │
│  • Metadata files                               │
│  • Manifest files                               │
└─────────────────────────────────────────────────┘

Key concepts:

Catalog URI - REST endpoint for catalog operations (e.g., https://<account-id>.r2.cloudflarestorage.com/iceberg/<bucket>)
Warehouse - Logical grouping of tables (typically same as bucket name)
Namespace - Schema/database containing tables (e.g., logs, analytics)
Table - Iceberg table with schema, data files, snapshots
Vended credentials - Temporary S3 credentials catalog provides for data access

Limits

Resource	Limit	Notes
Namespaces per catalog	No hard limit	Organize tables logically
Tables per namespace	<10,000 recommended	Performance degrades beyond this
Files per table	<100,000 recommended	Run compaction regularly
Snapshots per table	Configurable retention	Expire >7 days old
Partitions per table	100-1,000 optimal	Too many = slow metadata ops
Table size	Same as R2 bucket	10GB-10TB+ common
API rate limits	Standard R2 API limits	Shared with R2 storage operations
Target file size	128-512 MB	After compaction

Current Status

Public Beta (as of Jan 2026)

Available to all R2 subscribers
No extra cost beyond standard R2 storage/operations
Production-ready, but breaking changes possible
Supports: namespaces, tables, snapshots, compaction, time-travel, table maintenance

Decision Tree: Is R2 Data Catalog Right For You?

Start → Need analytics on object storage data?
         │
         ├─ No → Use R2 directly for object storage
         │
         └─ Yes → Dataset >1GB with structured schema?
                  │
                  ├─ No → Too small, use R2 + ad-hoc queries
                  │
                  └─ Yes → Need ACID transactions or schema evolution?
                           │
                           ├─ No → Consider simpler solutions (Parquet on R2)
                           │
                           └─ Yes → Need multi-cloud/multi-tool access?
                                    │
                                    ├─ No → D1 or external DB may be simpler
                                    │
                                    └─ Yes → ✅ Use R2 Data Catalog

Quick check: If you answer "yes" to all:

Dataset >1GB and growing
Structured/tabular data (logs, events, metrics)
Multiple query tools or cloud environments
Need versioning, schema changes, or concurrent access

→ R2 Data Catalog is a good fit.

In This Reference

configuration.md - Enable catalog, create API tokens, connect clients
api.md - REST endpoints, operations, maintenance
patterns.md - PyIceberg examples, common use cases
gotchas.md - Troubleshooting, best practices, limitations

Requirements and compatibility

Written for: OpenAI Codex

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

What our scanner noticed· Medium risk

Possible data-exfiltration endpoints
Instructions that use the network
Downloads piped into a shell

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by

Cloudflare

Publisher

OpenAI (Official)

Distributed by

OpenAI

Source

openai/plugins · plugins/cloudflare/skills/cloudflare · commit d420d13

Licence

Apache License 2.0 (redistribution allowed)

ATTRIBUTION.md (written by AutoGineer)

Synced

2026-11-09

AutoGineer is not affiliated with or endorsed by Cloudflare or OpenAI.

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references/r2-data-catalog/README.md

Cloudflare R2 Data Catalog Skill Reference

Reading Order

What is R2 Data Catalog?

What is Apache Iceberg?

When to Use

Architecture

Limits

Current Status

Decision Tree: Is R2 Data Catalog Right For You?

In This Reference

See Also

Requirements and compatibility

Security

Attribution and licence

Related skills

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Cloud Infrastructure Network Engineer

Deployment Validation Cloud Architect

Airflow Dag Patterns

Cost Optimization

Hybrid Cloud Networking

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