Investigate and resolve Cloudflare configuration issues using API-driven evidence gathering. Use when troubleshooting ERR_TOO_MANY_REDIRECTS, SSL errors, DNS issues, or any Cloudflare-related problems. Focus on systematic investigation using Cloudflare API to examine actual configuration rather than making assumptions.
npx skills add https://github.com/daymade/claude-code-skills --skill cloudflare-troubleshooting
> Methodology base: the general evidence-driven network-diagnosis discipline (falsification, layered isolation, counter-review) lives in the debugging-network-issues skill. This skill is the Cloudflare *domain* layer on top of it.
Investigate with evidence, not assumptions. Always query Cloudflare API to examine actual configuration before diagnosing issues. The skill's value is the systematic investigation methodology, not predetermined solutions.
Request from user:
Global API Key location: Cloudflare Dashboard → My Profile → API Tokens → View Global API Key
First step for any Cloudflare troubleshooting - obtain the zone ID:
curl -s -X GET "https://api.cloudflare.com/client/v4/zones?name=<domain>" \
-H "X-Auth-Email: <email>" \
-H "X-Auth-Key: <api_key>" | jq '.'
Extract zone_id from result[0].id for subsequent API calls.
For each issue, gather evidence before making conclusions. Use Cloudflare API to inspect:
Evidence gathering sequence:
curl -X GET "https://api.cloudflare.com/client/v4/zones/{zone_id}/settings/ssl" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key"
Look for: result.value - tells current SSL mode
curl -X GET "https://api.cloudflare.com/client/v4/zones/{zone_id}/settings/always_use_https" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key"
curl -X GET "https://api.cloudflare.com/client/v4/zones/{zone_id}/pagerules" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key"
Look for: forwarding_url or always_use_https actions
curl -I -H "Host: <domain>" https://<origin_ip>
Diagnosis logic:
Fix:
curl -X PATCH "https://api.cloudflare.com/client/v4/zones/{zone_id}/settings/ssl" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key" \
-H "Content-Type: application/json" \
--data '{"value":"full"}'
Purge cache after fix:
curl -X POST "https://api.cloudflare.com/client/v4/zones/{zone_id}/purge_cache" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key" \
-d '{"purge_everything":true}'
Evidence gathering:
curl -X GET "https://api.cloudflare.com/client/v4/zones/{zone_id}/dns_records" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key"
dig <domain>
dig @8.8.8.8 <domain>
curl -X GET "https://api.cloudflare.com/client/v4/zones/{zone_id}/dnssec" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key"
Look for:
Evidence gathering:
curl -X GET "https://api.cloudflare.com/client/v4/zones/{zone_id}/ssl/certificate_packs" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key"
openssl s_client -connect <origin_ip>:443 -servername <domain>
Common issues:
Evidence gathering:
curl -I -H "Host: <domain>" https://<origin_ip>
curl -X GET "https://api.cloudflare.com/client/v4/zones/{zone_id}/dns_records" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key"
curl -X GET "https://api.cloudflare.com/client/v4/zones/{zone_id}/load_balancers" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key"
curl -X GET "https://api.cloudflare.com/client/v4/zones/{zone_id}/firewall/rules" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key"
When encountering issues not covered above, consult Cloudflare API documentation:
Pattern for exploring new APIs:
# List available settings for a zone
curl -X GET "https://api.cloudflare.com/client/v4/zones/{zone_id}/settings" \
-H "X-Auth-Email: email" \
-H "X-Auth-Key: key"
Consult references/api_overview.md for:
Consult references/ssl_modes.md for:
Consult references/common_issues.md for:
jq or python for readability"success": true/false in responseserrors array in responses1. Gather: domain, email, API key
2. Get zone_id via zones API
3. Investigate:
- Query relevant APIs for evidence
- Check multiple related settings
- Verify with external tools (dig, curl)
4. Analyze evidence to determine root cause
5. Apply fix via appropriate API endpoint
6. Purge cache if configuration change affects delivery
7. Verify fix via API query and external testing
8. Inform user of resolution and any required actions
When user reports "site shows ERR_TOO_MANY_REDIRECTS":
# 1. Get zone ID
curl -s -X GET "https://api.cloudflare.com/client/v4/zones?name=example.com" \
-H "X-Auth-Email: [email protected]" \
-H "X-Auth-Key: abc123" | jq '.result[0].id'
# 2. Check SSL mode (primary suspect for redirect loops)
curl -s -X GET "https://api.cloudflare.com/client/v4/zones/ZONE_ID/settings/ssl" \
-H "X-Auth-Email: [email protected]" \
-H "X-Auth-Key: abc123" | jq '.result.value'
# If returns "flexible" and origin is GitHub Pages/Netlify/Vercel:
# 3. Fix by changing to "full"
curl -X PATCH "https://api.cloudflare.com/client/v4/zones/ZONE_ID/settings/ssl" \
-H "X-Auth-Email: [email protected]" \
-H "X-Auth-Key: abc123" \
-H "Content-Type: application/json" \
--data '{"value":"full"}'
# 4. Purge cache
curl -X POST "https://api.cloudflare.com/client/v4/zones/ZONE_ID/purge_cache" \
-H "X-Auth-Email: [email protected]" \
-H "X-Auth-Key: abc123" \
-d '{"purge_everything":true}'
# 5. Inform user: Wait 60 seconds, clear browser cache, retry
The bundled scripts (scripts/check_cloudflare_config.py, scripts/fix_ssl_mode.py) serve as:
However, prefer direct API calls via Bash/curl for flexibility and transparency. Scripts should not limit capability - use them when convenient, but use raw API calls when needed for:
The investigation methodology and API knowledge is the core skill, not the scripts.
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.
Take daymade/cloudflare-troubleshooting from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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same name cannot sit side by side — one of them will be ignored.