Cloudflare
Deploy and manage Cloudflare Workers, Pages, and services via Code Mode MCP (API queries) + wrangler (deploys). OAuth auth for wrangler (tokens lack Pages perms). USE WHEN Cloudflare, worker, deploy, Pages, MCP server, wrangler, DNS, KV, R2, D1, Vectorize.
What this skill does
## Customization
**Before executing, check for user customizations at:**
`~/.claude/PAI/USER/SKILLCUSTOMIZATIONS/Cloudflare/`
If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.
## MANDATORY: Voice Notification (REQUIRED BEFORE ANY ACTION)
**You MUST send this notification BEFORE doing anything else when this skill is invoked.**
1. **Send voice notification**:
```bash
curl -s -X POST http://localhost:8888/notify \
-H "Content-Type: application/json" \
-d '{"message": "Running the WORKFLOWNAME workflow in the Cloudflare skill to ACTION"}' \
> /dev/null 2>&1 &
```
2. **Output text notification**:
```
Running the **WorkflowName** workflow in the **Cloudflare** skill to ACTION...
```
**This is not optional. Execute this curl command immediately upon skill invocation.**
# Cloudflare Skill
Deploy and manage Cloudflare Workers, Pages, and services. Uses **two complementary tools**:
- **Code Mode MCP** (primary for API operations) — `search()` + `execute()` for querying workers, managing KV/R2/D1, checking deployments, DNS, analytics. ~1,069 tokens vs 1.17M for traditional MCP.
- **Wrangler** (deploy/dev only) — `wrangler deploy`, `wrangler dev`, `wrangler pages deploy` for deploying from local files.
## Dual-Mode Reference
| Operation | Tool | Why |
|-----------|------|-----|
| Deploy Worker | `wrangler deploy` | Needs local files + wrangler.toml |
| Deploy Pages | `wrangler pages deploy` | Needs dist/ directory |
| Local dev | `wrangler dev` | Local server |
| List Workers | MCP `execute()` | API query, no local files needed |
| Check deployment status | MCP `execute()` | API query |
| Read/write KV | MCP `execute()` | API operation |
| Manage DNS | MCP `execute()` | API operation |
| View logs | MCP `execute()` | API query |
| Inspect R2/D1/Vectorize | MCP `execute()` | API operations |
| View analytics | MCP `execute()` | API query |
## Workflow Routing
**When executing a workflow, output this notification directly:**
```
Running the **WorkflowName** workflow in the **Cloudflare** skill to ACTION...
```
- **Create** Worker or MCP server → `Workflows/Create.md`
- **Troubleshoot** deployment issues → `Workflows/Troubleshoot.md`
- **Query** Cloudflare state (list workers, check KV, DNS, analytics) → `Workflows/Query.md`
## Code Mode MCP Reference
The Cloudflare Code Mode MCP server (`https://mcp.cloudflare.com/mcp`) exposes the entire Cloudflare API through 2 tools:
### `search()` — Discover endpoints
Find API endpoints by keyword. Use this when you don't know the exact path.
```
// Example: Find all Workers-related endpoints
search("workers scripts")
// Example: Find KV namespace operations
search("KV namespace")
// Example: Find DNS record endpoints
search("DNS records")
```
### `execute()` — Call the API
Execute any Cloudflare API endpoint directly. Handles auth automatically via OAuth.
```
// Example: List all Workers scripts
execute("GET /accounts/{account_id}/workers/scripts")
// Example: Read a KV value
execute("GET /accounts/{account_id}/storage/kv/namespaces/{namespace_id}/values/{key_name}")
// Example: List DNS records
execute("GET /zones/{zone_id}/dns_records")
```
### MCP Auth
Code Mode MCP handles authentication via OAuth — no tokens needed. On first use, it will prompt for Cloudflare login. After that, auth is cached.
## Quick Reference
- **Account ID:** Set via `CF_ACCOUNT_ID` environment variable
- **Worker URL format:** `https://[worker-name].[your-subdomain].workers.dev`
## Deployment Commands
### Workers Deployment
```bash
# Unset tokens that interfere with wrangler login-based auth
(unset CF_API_TOKEN && unset CLOUDFLARE_API_TOKEN && wrangler deploy)
```
### Pages Deployment
**CRITICAL: ALL env tokens lack Pages permissions. MUST unset them to use OAuth:**
```bash
# ALWAYS unset tokens for Pages - OAuth login works, tokens don't
(unset CF_API_TOKEN && unset CLOUDFLARE_API_TOKEN && bunx wrangler pages deploy dist --project-name=PROJECT_NAME --commit-dirty=true)
```
## Critical Notes
- **Workers:** Unset `CF_API_TOKEN` and `CLOUDFLARE_API_TOKEN` before deploying - they interfere with wrangler login-based auth
- **Pages:** UNSET ALL TOKENS - None of the API tokens have Pages permissions. OAuth-based wrangler login is the ONLY method that works.
- **API queries:** Use Code Mode MCP instead of manual `curl` or `fetch()` to `api.cloudflare.com`
- **Wrangler stays for:** deploy, dev, pages deploy, and local config only
## Examples
**Example 1: Deploy a Worker**
```
User: "deploy the MCP server to Cloudflare"
-> Invokes CREATE workflow
-> Unsets env tokens, runs wrangler deploy
-> Verifies via MCP execute() that worker is live
-> "Deployed to https://mcp-server.[subdomain].workers.dev"
```
**Example 2: Query Cloudflare state**
```
User: "list all my workers"
-> Invokes QUERY workflow
-> MCP search("workers scripts") to find endpoint
-> MCP execute("GET /accounts/{id}/workers/scripts")
-> Returns list of all deployed workers
```
**Example 3: Fix deployment error**
```
User: "Cloudflare deploy is failing with auth error"
-> Invokes TROUBLESHOOT workflow
-> MCP execute() to check deployment status and logs
-> Identifies token interference
-> "Fixed - tokens were overriding OAuth. Redeployed successfully."
```
**Example 4: Check DNS records**
```
User: "what DNS records does example.com have?"
-> Invokes QUERY workflow
-> MCP search("DNS records") + execute() to list records
-> Returns full DNS record table
```
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.