Execute Mistral AI incident response procedures with triage, mitigation, and postmortem. Use when responding to Mistral AI-related outages, investigating errors, or running post-incident reviews for Mistral AI integration failures. Trigger with phrases like "mistral incident", "mistral outage", "...
Installable skillMITBy DicklesworthstoneUpdated Oct 31, 2026
INTENDED FOROpenClawInstall in a listed agent.
instructions.md
---
name: mistral-incident-runbook-8652f335450f
description: |
Execute Mistral AI incident response procedures with triage, mitigation, and postmortem.
Use when responding to Mistral AI-related outages, investigating errors,
or running post-incident reviews for Mistral AI integration failures.
Trigger with phrases like "mistral incident", "mistral outage",
"mistral down", "mistral on-call", "mistral emergency", "mistral broken".
allowed-tools: Read, Grep, Bash(kubectl:*), Bash(curl:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---
# Mistral AI Incident Runbook
## Overview
Rapid incident response procedures for Mistral AI-related outages.
## Prerequisites
- Access to Mistral AI console
- kubectl access to production cluster (if applicable)
- Prometheus/Grafana access
- Communication channels (Slack, PagerDuty)
## Severity Levels
| Level | Definition | Response Time | Examples |
|-------|------------|---------------|----------|
| P1 | Complete outage | < 15 min | Mistral API unreachable, all requests failing |
| P2 | Degraded service | < 1 hour | High latency, partial failures, rate limiting |
| P3 | Minor impact | < 4 hours | Occasional errors, non-critical feature down |
| P4 | No user impact | Next business day | Monitoring gaps, documentation issues |
## Quick Triage
```bash
#!/bin/bash
# mistral-triage.sh
echo "=== Mistral AI Quick Triage ==="
echo "Timestamp: $(date)"
echo ""
# 1. Check Mistral API health
echo "1. Checking Mistral API..."
HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" \
-H "Authorization: Bearer ${MISTRAL_API_KEY}" \
https://api.mistral.ai/v1/models)
echo " API Status: $HTTP_STATUS"
# 2. Check our health endpoint
echo ""
echo "2. Checking our service health..."
curl -s https://api.yourapp.com/health | jq '.services.mistral' 2>/dev/null || echo " Health check failed"
# 3. Check recent error rate
echo ""
echo "3. Recent errors (if Prometheus available)..."
curl -s "localhost:9090/api/v1/query?query=rate(mistral_errors_total[5m])" | jq '.data.result' 2>/dev/null || echo " Prometheus not available"
# 4. Check recent logs
echo ""
echo "4. Recent error logs..."
kubectl logs -l app=mistral-service --since=5m 2>/dev/null | grep -i error | tail -10 || echo " kubectl not available"
```
## Decision Tree
```
Mistral API returning errors?
├─ YES: Check api.mistral.ai/v1/models with curl
│ ├─ 401 → API key issue (see Auth section)
│ ├─ 429 → Rate limited (see Rate Limit section)
│ ├─ 5xx → Mistral service issue (wait & monitor)
│ └─ Timeout → Network issue (check connectivity)
└─ NO: Our service returning errors?
├─ YES → Check our logs & config
└─ NO → Likely resolved, continue monitoring
```
## Immediate Actions by Error Type
### 401 Unauthorized - Authentication Failed
```bash
# 1. Verify API key is set
echo "API Key length: ${#MISTRAL_API_KEY}"
echo "API Key prefix: ${MISTRAL_API_KEY:0:10}..."
# 2. Test API key directly
curl -v -H "Authorization: Bearer ${MISTRAL_API_KEY}" \
https://api.mistral.ai/v1/models
# 3. Check if key was rotated
# → Verify in Mistral console: console.mistral.ai
# 4. Update key if needed
kubectl create secret generic mistral-secrets \
--from-literal=api-key="$NEW_API_KEY" \
--dry-run=client -o yaml | kubectl apply -f -
# 5. Restart pods
kubectl rollout restart deployment/mistral-service
```
### 429 Rate Limited
```bash
# 1. Check current rate limit status
curl -v -H "Authorization: Bearer ${MISTRAL_API_KEY}" \
https://api.mistral.ai/v1/models 2>&1 | grep -i "rate\|retry"
# 2. Enable request queuing (if supported)
kubectl set env deployment/mistral-service RATE_LIMIT_MODE=queue
# 3. Reduce request concurrency
kubectl set env deployment/mistral-service MAX_CONCURRENT_REQUESTS=5
# 4. Long-term: Contact Mistral for limit increase
# → console.mistral.ai or support@mistral.ai
```
### 500/503 Service Error
```bash
# 1. Check Mistral status (if available)
echo "Checking Mistral status..."
# 2. Enable graceful degradation
kubectl set env deployment/mistral-service MISTRAL_FALLBACK=true
# 3. Notify users
# → Update status page
# 4. Monitor for recovery
watch -n 30 'curl -s -o /dev/null -w "%{http_code}" -H "Authorization: Bearer ${MISTRAL_API_KEY}" https://api.mistral.ai/v1/models'
```
### Timeout/Network Error
```bash
# 1. Test connectivity
curl -v --connect-timeout 5 https://api.mistral.ai/v1/models
# 2. Check DNS resolution
nslookup api.mistral.ai
# 3. Increase timeout
kubectl set env deployment/mistral-service MISTRAL_TIMEOUT=60000
# 4. Check egress rules
kubectl get networkpolicy
```
## Communication Templates
### Internal (Slack)
```
:red_circle: P1 INCIDENT: Mistral AI Integration
**Status**: INVESTIGATING
**Impact**: [Users cannot use AI features / Degraded AI responses]
**Current action**: [What you're doing]
**Next update**: [Time - typically every 15-30 min for P1]
**Incident commander**: @[name]
```
### External (Status Page)
```
AI Feature Degradation
We're experiencing issues with our AI-powered features.
Some users may experience slower responses or temporary unavailability.
Our team is actively investigating and working with our AI provider to resolve this.
Affected services:
- [List affected features]
Workaround: [If available]
Last updated: [timestamp]
```
## Post-Incident
### Evidence Collection
```bash
#!/bin/bash
# collect-evidence.sh
INCIDENT_DIR="incident-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$INCIDENT_DIR"
# Collect logs
kubectl logs -l app=mistral-service --since=1h > "$INCIDENT_DIR/logs.txt"
# Export metrics
curl "localhost:9090/api/v1/query_range?query=mistral_errors_total&start=$(date -d '2 hours ago' +%s)&end=$(date +%s)&step=60" \
> "$INCIDENT_DIR/metrics.json"
# Collect config (redacted)
kubectl get deployment mistral-service -o yaml | grep -v "api-key" > "$INCIDENT_DIR/deployment.yaml"
# Create bundle
tar -czf "$INCIDENT_DIR.tar.gz" "$INCIDENT_DIR"
echo "Evidence bundle: $INCIDENT_DIR.tar.gz"
```
### Postmortem Template
```markdown
## Incident: Mistral AI [Error Type]
**Date:** YYYY-MM-DD
**Duration:** X hours Y minutes
**Severity:** P[1-4]
**Incident Commander:** [Name]
### Summary
[1-2 sentence description of what happened]
### Timeline (UTC)
| Time | Event |
|------|-------|
| HH:MM | First alert triggered |
| HH:MM | Incident declared |
| HH:MM | Root cause identified |
| HH:MM | Mitigation applied |
| HH:MM | Service restored |
### Root Cause
[Technical explanation of what went wrong]
### Impact
- Users affected: [Number or percentage]
- Duration of impact: [Time]
- Requests failed: [Number]
- Revenue impact: [If applicable]
### Detection
How was the incident detected?
- [ ] Automated alerting
- [ ] Customer report
- [ ] Internal testing
- [ ] Other: ___
### Resolution
[What was done to fix the issue]
### Action Items
| Priority | Action | Owner | Due Date | Status |
|----------|--------|-------|----------|--------|
| P1 | [Immediate fix] | @name | YYYY-MM-DD | [ ] |
| P2 | [Preventive measure] | @name | YYYY-MM-DD | [ ] |
| P3 | [Improvement] | @name | YYYY-MM-DD | [ ] |
### Lessons Learned
- What went well:
- What could be improved:
- What we got lucky with:
```
## Output
- Issue identified and categorized
- Mitigation applied
- Stakeholders notified
- Evidence collected for postmortem
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| kubectl fails | Auth expired | Re-authenticate with cloud provider |
| Metrics unavailable | Prometheus down | Check backup metrics or logs |
| Secret rotation fails | Permission denied | Escalate to admin |
| Fallback not working | Not implemented | Use cached responses or error page |
## Examples
### One-Line Health Check
```bash
curl -sf -H "Authorization: Bearer ${MISTRAL_API_KEY}" https://api.mistral.ai/v1/models | jq '.data[0].id' || echo "UNHEALTHY"
```
### Quick Rollback
```bash
kubectl rollout undo deployment/mistral-service && \
kubectl rollout status deployment/mistral-service
```
## Resources
- [Mistral AI Console](https://console.mistral.ai/)
- [Mistral AI Documentation](https://docs.mistral.ai/)
## Next Steps
For data handling, see `mistral-data-handling`.
---
name: mistral-incident-runbook-8652f335450f
description: |
Execute Mistral AI incident response procedures with triage, mitigation, and postmortem.
Use when responding to Mistral AI-related outages, investigating errors,
or running post-incident reviews for Mistral AI integration failures.
Trigger with phrases like "mistral incident", "mistral outage",
"mistral down", "mistral on-call", "mistral emergency", "mistral broken".
allowed-tools: Read, Grep, Bash(kubectl:*), Bash(curl:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---
# Mistral AI Incident Runbook
## Overview
Rapid incident response procedures for Mistral AI-related outages.
## Prerequisites
- Access to Mistral AI console
- kubectl access to production cluster (if applicable)
- Prometheus/Grafana access
- Communication channels (Slack, PagerDuty)
## Severity Levels
| Level | Definition | Response Time | Examples |
|-------|------------|---------------|----------|
| P1 | Complete outage | < 15 min | Mistral API unreachable, all requests failing |
| P2 | Degraded service | < 1 hour | High latency, partial failures, rate limiting |
| P3 | Minor impact | < 4 hours | Occasional errors, non-critical feature down |
| P4 | No user impact | Next business day | Monitoring gaps, documentation issues |
## Quick Triage
```bash
#!/bin/bash
# mistral-triage.sh
echo "=== Mistral AI Quick Triage ==="
echo "Timestamp: $(date)"
echo ""
# 1. Check Mistral API health
echo "1. Checking Mistral API..."
HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" \
-H "Authorization: Bearer ${MISTRAL_API_KEY}" \
https://api.mistral.ai/v1/models)
echo " API Status: $HTTP_STATUS"
# 2. Check our health endpoint
echo ""
echo "2. Checking our service health..."
curl -s https://api.yourapp.com/health | jq '.services.mistral' 2>/dev/null || echo " Health check failed"
# 3. Check recent error rate
echo ""
echo "3. Recent errors (if Prometheus available)..."
curl -s "localhost:9090/api/v1/query?query=rate(mistral_errors_total[5m])" | jq '.data.result' 2>/dev/null || echo " Prometheus not available"
# 4. Check recent logs
echo ""
echo "4. Recent error logs..."
kubectl logs -l app=mistral-service --since=5m 2>/dev/null | grep -i error | tail -10 || echo " kubectl not available"
```
## Decision Tree
```
Mistral API returning errors?
├─ YES: Check api.mistral.ai/v1/models with curl
│ ├─ 401 → API key issue (see Auth section)
│ ├─ 429 → Rate limited (see Rate Limit section)
│ ├─ 5xx → Mistral service issue (wait & monitor)
│ └─ Timeout → Network issue (check connectivity)
└─ NO: Our service returning errors?
├─ YES → Check our logs & config
└─ NO → Likely resolved, continue monitoring
```
## Immediate Actions by Error Type
### 401 Unauthorized - Authentication Failed
```bash
# 1. Verify API key is set
echo "API Key length: ${#MISTRAL_API_KEY}"
echo "API Key prefix: ${MISTRAL_API_KEY:0:10}..."
# 2. Test API key directly
curl -v -H "Authorization: Bearer ${MISTRAL_API_KEY}" \
https://api.mistral.ai/v1/models
# 3. Check if key was rotated
# → Verify in Mistral console: console.mistral.ai
# 4. Update key if needed
kubectl create secret generic mistral-secrets \
--from-literal=api-key="$NEW_API_KEY" \
--dry-run=client -o yaml | kubectl apply -f -
# 5. Restart pods
kubectl rollout restart deployment/mistral-service
```
### 429 Rate Limited
```bash
# 1. Check current rate limit status
curl -v -H "Authorization: Bearer ${MISTRAL_API_KEY}" \
https://api.mistral.ai/v1/models 2>&1 | grep -i "rate\|retry"
# 2. Enable request queuing (if supported)
kubectl set env deployment/mistral-service RATE_LIMIT_MODE=queue
# 3. Reduce request concurrency
kubectl set env deployment/mistral-service MAX_CONCURRENT_REQUESTS=5
# 4. Long-term: Contact Mistral for limit increase
# → console.mistral.ai or support@mistral.ai
```
### 500/503 Service Error
```bash
# 1. Check Mistral status (if available)
echo "Checking Mistral status..."
# 2. Enable graceful degradation
kubectl set env deployment/mistral-service MISTRAL_FALLBACK=true
# 3. Notify users
# → Update status page
# 4. Monitor for recovery
watch -n 30 'curl -s -o /dev/null -w "%{http_code}" -H "Authorization: Bearer ${MISTRAL_API_KEY}" https://api.mistral.ai/v1/models'
```
### Timeout/Network Error
```bash
# 1. Test connectivity
curl -v --connect-timeout 5 https://api.mistral.ai/v1/models
# 2. Check DNS resolution
nslookup api.mistral.ai
# 3. Increase timeout
kubectl set env deployment/mistral-service MISTRAL_TIMEOUT=60000
# 4. Check egress rules
kubectl get networkpolicy
```
## Communication Templates
### Internal (Slack)
```
:red_circle: P1 INCIDENT: Mistral AI Integration
**Status**: INVESTIGATING
**Impact**: [Users cannot use AI features / Degraded AI responses]
**Current action**: [What you're doing]
**Next update**: [Time - typically every 15-30 min for P1]
**Incident commander**: @[name]
```
### External (Status Page)
```
AI Feature Degradation
We're experiencing issues with our AI-powered features.
Some users may experience slower responses or temporary unavailability.
Our team is actively investigating and working with our AI provider to resolve this.
Affected services:
- [List affected features]
Workaround: [If available]
Last updated: [timestamp]
```
## Post-Incident
### Evidence Collection
```bash
#!/bin/bash
# collect-evidence.sh
INCIDENT_DIR="incident-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$INCIDENT_DIR"
# Collect logs
kubectl logs -l app=mistral-service --since=1h > "$INCIDENT_DIR/logs.txt"
# Export metrics
curl "localhost:9090/api/v1/query_range?query=mistral_errors_total&start=$(date -d '2 hours ago' +%s)&end=$(date +%s)&step=60" \
> "$INCIDENT_DIR/metrics.json"
# Collect config (redacted)
kubectl get deployment mistral-service -o yaml | grep -v "api-key" > "$INCIDENT_DIR/deployment.yaml"
# Create bundle
tar -czf "$INCIDENT_DIR.tar.gz" "$INCIDENT_DIR"
echo "Evidence bundle: $INCIDENT_DIR.tar.gz"
```
### Postmortem Template
```markdown
## Incident: Mistral AI [Error Type]
**Date:** YYYY-MM-DD
**Duration:** X hours Y minutes
**Severity:** P[1-4]
**Incident Commander:** [Name]
### Summary
[1-2 sentence description of what happened]
### Timeline (UTC)
| Time | Event |
|------|-------|
| HH:MM | First alert triggered |
| HH:MM | Incident declared |
| HH:MM | Root cause identified |
| HH:MM | Mitigation applied |
| HH:MM | Service restored |
### Root Cause
[Technical explanation of what went wrong]
### Impact
- Users affected: [Number or percentage]
- Duration of impact: [Time]
- Requests failed: [Number]
- Revenue impact: [If applicable]
### Detection
How was the incident detected?
- [ ] Automated alerting
- [ ] Customer report
- [ ] Internal testing
- [ ] Other: ___
### Resolution
[What was done to fix the issue]
### Action Items
| Priority | Action | Owner | Due Date | Status |
|----------|--------|-------|----------|--------|
| P1 | [Immediate fix] | @name | YYYY-MM-DD | [ ] |
| P2 | [Preventive measure] | @name | YYYY-MM-DD | [ ] |
| P3 | [Improvement] | @name | YYYY-MM-DD | [ ] |
### Lessons Learned
- What went well:
- What could be improved:
- What we got lucky with:
```
## Output
- Issue identified and categorized
- Mitigation applied
- Stakeholders notified
- Evidence collected for postmortem
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| kubectl fails | Auth expired | Re-authenticate with cloud provider |
| Metrics unavailable | Prometheus down | Check backup metrics or logs |
| Secret rotation fails | Permission denied | Escalate to admin |
| Fallback not working | Not implemented | Use cached responses or error page |
## Examples
### One-Line Health Check
```bash
curl -sf -H "Authorization: Bearer ${MISTRAL_API_KEY}" https://api.mistral.ai/v1/models | jq '.data[0].id' || echo "UNHEALTHY"
```
### Quick Rollback
```bash
kubectl rollout undo deployment/mistral-service && \
kubectl rollout status deployment/mistral-service
```
## Resources
- [Mistral AI Console](https://console.mistral.ai/)
- [Mistral AI Documentation](https://docs.mistral.ai/)
## Next Steps
For data handling, see `mistral-data-handling`.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.
When the user wants to understand, reduce, or recover from developer churn. Trigger phrases include "why developers leave," "churn rate," "win-back campaign," "at-risk users," "developer retention," "preventing churn," or "competitor switching."
ClaudeCodexCursorSales
jonathimer/devmarketing-skills contributors, via Agentic Awesome Skills
Uncover the functional, emotional and social jobs a customer hires a product to do: progress state, hiring trigger, alternatives, success criteria, JTBD map. Use when you need to understand why users buy, switch or churn, or to anchor positioning, messaging and onboarding in real jobs.
Hilft bei Anlagenliste Verstehen für Menschen mit Deutsch als Zweitsprache. Erklaert Juristendeutsch, klaert Risiko, Frist und naechste Handlung, und formuliert respektvoll in einfachem oder formalem Deutsch im Juristische Sprache Deutsch Als Zweitsprache.