castai-common-errors
Diagnose and fix CAST AI agent, API, and autoscaler errors. Use when the CAST AI agent is offline, nodes are not scaling, or API calls return errors. Trigger with phrases like "cast ai error", "cast ai not working", "cast ai agent offline", "cast ai debug", "fix cast ai".
What this skill does
# CAST AI Common Errors
## Overview
Diagnostic guide for the 10 most common CAST AI issues, covering agent connectivity, API errors, autoscaler failures, and node provisioning problems.
## Prerequisites
- `kubectl` access to the cluster
- `CASTAI_API_KEY` configured
- Access to CAST AI console for log correlation
## Error Reference
### 1. Agent Pod CrashLoopBackOff
```bash
kubectl get pods -n castai-agent
kubectl logs -n castai-agent deployment/castai-agent --tail=50
```
**Causes and fixes:**
- **Invalid API key**: Regenerate at console.cast.ai > API
- **Wrong provider**: Set `--set provider=eks|gke|aks` correctly in Helm
- **RBAC missing**: Apply the required ClusterRole and ClusterRoleBinding
- **Network blocked**: Ensure outbound HTTPS to `api.cast.ai` is allowed
### 2. Agent Shows "Disconnected" in Console
```bash
# Check agent heartbeat
kubectl logs -n castai-agent deployment/castai-agent | grep -i "heartbeat\|connect\|error"
# Verify network connectivity from inside the cluster
kubectl run castai-debug --image=curlimages/curl --rm -it --restart=Never -- \
curl -s -o /dev/null -w "%{http_code}" https://api.cast.ai/v1/kubernetes/external-clusters
```
**Fix**: Restart the agent pod: `kubectl rollout restart deployment/castai-agent -n castai-agent`
### 3. API Returns 401 Unauthorized
```bash
# Test API key
curl -s -o /dev/null -w "%{http_code}" \
-H "X-API-Key: ${CASTAI_API_KEY}" \
https://api.cast.ai/v1/kubernetes/external-clusters
# Should return 200, not 401
```
**Fix**: Generate a new API key at console.cast.ai > API > API Access Keys.
### 4. Nodes Not Scaling Up (Unschedulable Pods)
```bash
# Check for pending pods
kubectl get pods --all-namespaces --field-selector=status.phase=Pending
# Verify unschedulable pods policy is enabled
curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
"https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/policies" \
| jq '.unschedulablePods'
```
**Causes:**
- `unschedulablePods.enabled` is `false` -- enable it
- Cluster limits reached -- increase `clusterLimits.cpu.maxCores`
- No matching node template -- check constraints match pod requirements
### 5. Nodes Not Scaling Down (Empty Nodes)
```bash
# Check node downscaler configuration
curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
"https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/policies" \
| jq '.nodeDownscaler'
```
**Causes:**
- `nodeDownscaler.enabled` is `false`
- Pods with `PodDisruptionBudget` blocking eviction
- DaemonSet-only nodes with system pods preventing drain
- Delay too high -- reduce `emptyNodes.delaySeconds`
### 6. Spot Instance Fallback Not Working
```bash
# Check spot configuration
curl -s -H "X-API-Key: ${CASTAI_API_KEY}" \
"https://api.cast.ai/v1/kubernetes/clusters/${CASTAI_CLUSTER_ID}/policies" \
| jq '.spotInstances'
```
**Fix**: Enable `spotDiversityEnabled: true` and set `spotDiversityPriceIncreaseLimitPercent` to 20-30 for better availability.
### 7. Evictor Too Aggressive
Symptoms: Pods being evicted too frequently, service disruption.
```bash
kubectl get events --field-selector reason=Evicted -A --sort-by=.lastTimestamp | tail -20
```
**Fix**: Increase evictor cycle interval or switch to non-aggressive mode:
```bash
helm upgrade castai-evictor castai-helm/castai-evictor \
-n castai-agent \
--set castai.apiKey="${CASTAI_API_KEY}" \
--set castai.clusterID="${CASTAI_CLUSTER_ID}" \
--set evictor.aggressiveMode=false \
--set evictor.cycleInterval=600
```
### 8. Terraform State Drift
```bash
terraform plan -var-file=environments/prod.tfvars
# If drift detected:
terraform refresh -var-file=environments/prod.tfvars
```
**Fix**: Avoid mixing Terraform and console-based policy changes. Pick one source of truth.
### 9. Helm Chart Version Mismatch
```bash
# Check installed versions
helm list -n castai-agent
helm search repo castai-helm --versions | head -10
# Update to latest
helm repo update
helm upgrade castai-agent castai-helm/castai-agent -n castai-agent \
--reuse-values
```
### 10. Workload Autoscaler Not Recommending
```bash
kubectl logs -n castai-agent deployment/castai-workload-autoscaler --tail=50
```
**Causes:**
- Insufficient metrics data (wait 24h)
- Missing annotation `autoscaling.cast.ai/enabled: "true"`
- Workload autoscaler pod not running
## Escalation Path
1. Collect debug info: Helm releases, agent logs, cluster events
2. Check https://status.cast.ai for platform issues
3. Contact support with cluster ID and screenshots
## Resources
- [CAST AI Troubleshooting](https://docs.cast.ai/docs/casti-ai-components)
- [CAST AI Status](https://status.cast.ai)
- [Autoscaler Checklist](https://docs.cast.ai/docs/autoscaler-checklist)
## Next Steps
For comprehensive diagnostics, see `castai-debug-bundle`.
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.