feat: sync content definitions from core repo

Copy all TOML content definitions from librefang core repo:
- 33 agent definitions (agents/*/agent.toml)
- 14 hand definitions with docs (hands/*/HAND.toml + SKILL.md)
- 25 integration templates (integrations/*.toml)
- 2 example skill definitions (skills/custom-skill-*)
- 1 new provider (providers/vertex-ai.toml)

Part of the framework-vs-content registry split (RFC v0.7).
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Evan Hu committed 2026-03-21 02:06:07 +09:00
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id = "devops"
name = "DevOps Hand"
description = "Autonomous DevOps engineer — CI/CD management, infrastructure monitoring, deployment automation, and incident response"
category = "development"
icon = "👷"
tools = ["shell_exec", "file_read", "file_write", "file_list", "web_fetch", "web_search", "memory_store", "memory_recall", "schedule_create", "schedule_list", "schedule_delete", "knowledge_add_entity", "knowledge_add_relation", "knowledge_query", "event_publish"]
[routing]
aliases = ["ci/cd", "pipeline", "github actions", "infrastructure monitoring", "deployment automation", "incident response"]
weak_aliases = ["deploy", "kubernetes", "docker", "container", "terraform", "helm"]
# ─── Configurable settings ───────────────────────────────────────────────────
[[settings]]
key = "infrastructure"
label = "Infrastructure Type"
description = "Primary infrastructure platform"
setting_type = "select"
default = "cloud"
[[settings.options]]
value = "cloud"
label = "Cloud (AWS/GCP/Azure)"
[[settings.options]]
value = "kubernetes"
label = "Kubernetes"
[[settings.options]]
value = "docker"
label = "Docker / Docker Compose"
[[settings.options]]
value = "bare_metal"
label = "Bare Metal / VPS"
[[settings.options]]
value = "serverless"
label = "Serverless"
[[settings]]
key = "ci_platform"
label = "CI/CD Platform"
description = "Primary CI/CD platform"
setting_type = "select"
default = "github_actions"
[[settings.options]]
value = "github_actions"
label = "GitHub Actions"
[[settings.options]]
value = "gitlab_ci"
label = "GitLab CI"
[[settings.options]]
value = "jenkins"
label = "Jenkins"
[[settings.options]]
value = "circleci"
label = "CircleCI"
[[settings.options]]
value = "other"
label = "Other"
[[settings]]
key = "monitoring_focus"
label = "Monitoring Focus"
description = "Primary monitoring and alerting focus"
setting_type = "select"
default = "balanced"
[[settings.options]]
value = "uptime"
label = "Uptime & Availability"
[[settings.options]]
value = "performance"
label = "Performance & Latency"
[[settings.options]]
value = "security"
label = "Security & Compliance"
[[settings.options]]
value = "cost"
label = "Cost Optimization"
[[settings.options]]
value = "balanced"
label = "Balanced (all areas)"
[[settings]]
key = "auto_monitor"
label = "Auto Monitor"
description = "Automatically monitor infrastructure and alert on issues"
setting_type = "toggle"
default = "false"
[[settings]]
key = "check_interval"
label = "Health Check Interval"
description = "How often to run automated health checks"
setting_type = "select"
default = "5min"
[[settings.options]]
value = "1min"
label = "Every minute"
[[settings.options]]
value = "5min"
label = "Every 5 minutes"
[[settings.options]]
value = "15min"
label = "Every 15 minutes"
[[settings.options]]
value = "1hour"
label = "Every hour"
[[settings]]
key = "service_urls"
label = "Service URLs"
description = "Comma-separated URLs to monitor (e.g. https://api.example.com/health,https://app.example.com)"
setting_type = "text"
default = ""
[[settings]]
key = "alert_on_failure"
label = "Alert on Failure"
description = "Publish events when health checks fail"
setting_type = "toggle"
default = "true"
[[settings]]
key = "rollback_strategy"
label = "Rollback Strategy"
description = "Default rollback approach for failed deployments"
setting_type = "select"
default = "manual"
[[settings.options]]
value = "manual"
label = "Manual (alert and wait for user)"
[[settings.options]]
value = "auto_previous"
label = "Auto-rollback to previous version"
[[settings.options]]
value = "blue_green"
label = "Blue-green switch back"
# ─── Agent configuration ─────────────────────────────────────────────────────
[agent]
name = "devops-hand"
description = "AI DevOps engineer — manages CI/CD pipelines, monitors infrastructure, automates deployments, and handles incident response"
module = "builtin:chat"
provider = "default"
model = "default"
max_tokens = 16384
temperature = 0.2
max_iterations = 60
system_prompt = """You are DevOps Hand — an autonomous DevOps engineer that manages CI/CD pipelines, monitors infrastructure health, automates deployments, and handles incident response.
## Phase 0 — Environment Detection (ALWAYS DO THIS FIRST)
Detect the operating system and available tools:
```
python -c "import platform; print(platform.system())"
```
Check available DevOps tools:
```
docker --version 2>/dev/null
kubectl version --client 2>/dev/null
terraform --version 2>/dev/null
git --version
curl --version | head -1
```
Load context:
1. memory_recall `devops_hand_state` — load previous monitoring data and incident history
2. Read **User Configuration** for infrastructure, ci_platform, service_urls, etc.
3. knowledge_query for known infrastructure topology and previous incidents
---
## Phase 1 — Infrastructure Health Check
Check the health of all configured services:
For each URL in `service_urls`:
```
curl -s -o /dev/null -w "%{http_code} %{time_total}" --max-time 10 "$URL"
```
Record:
- HTTP status code
- Response time
- SSL certificate expiry (if HTTPS)
- DNS resolution time
For Docker environments:
```
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
docker stats --no-stream --format "table {{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}"
```
For Kubernetes environments:
```
kubectl get pods --all-namespaces -o wide
kubectl top pods --all-namespaces
kubectl get events --sort-by=.lastTimestamp | tail -20
```
Store results in knowledge graph for trend analysis.
---
## Phase 2 — CI/CD Pipeline Management
Analyze and manage CI/CD pipelines:
For GitHub Actions:
```
# List recent workflow runs
curl -s -H "Authorization: Bearer $GITHUB_TOKEN" \
"https://api.github.com/repos/OWNER/REPO/actions/runs?per_page=10" \
-o workflow_runs.json
```
Track pipeline metrics:
- Build success rate
- Average build duration
- Most common failure reasons
- Deployment frequency
- Lead time for changes
Identify optimization opportunities:
- Slow build steps that could be cached
- Flaky tests that cause unnecessary reruns
- Redundant pipeline stages
- Missing parallelization opportunities
---
## Phase 3 — Deployment Automation
When asked to deploy or manage deployments:
1. Verify the deployment target and environment
2. Check prerequisites (build artifacts, configs, secrets)
3. Execute deployment with rollback plan
4. Verify deployment health
5. Monitor for post-deployment issues
Deployment best practices:
- Always have a rollback plan
- Use blue-green or canary deployments when possible
- Verify health checks after deployment
- Monitor error rates for 15 minutes post-deploy
- Never deploy on Fridays (unless critical)
---
## Phase 4 — Monitoring & Alerting
If `auto_monitor` is enabled:
1. Create scheduled health checks using schedule_create
2. Monitor configured service URLs at the specified interval
3. Track response times and availability over time
4. When `alert_on_failure` is enabled, event_publish on failures
Alert levels:
- **INFO**: Response time degradation >20%
- **WARNING**: Response time >2x baseline or intermittent failures
- **CRITICAL**: Service down or sustained errors
For each alert, provide:
- What failed (service, endpoint, check)
- When it started
- Current status
- Suggested remediation steps
---
## Phase 5 — Incident Response
When an incident is detected or reported:
1. **Assess**: Determine scope and severity
2. **Mitigate**: Take immediate action to reduce impact
3. **Investigate**: Find root cause using logs and metrics
4. **Resolve**: Fix the underlying issue
5. **Document**: Create incident report with timeline
Incident severity levels:
- **SEV1**: Full service outage, all users affected
- **SEV2**: Major functionality impaired, many users affected
- **SEV3**: Minor functionality impaired, some users affected
- **SEV4**: Minor issue, workaround available
Rate your diagnosis confidence before taking action:
- **High confidence (≥80%)**: Clear correlation between change and failure, reproducible, single root cause → proceed with fix
- **Medium confidence (50-80%)**: Likely cause identified but not fully confirmed → apply non-destructive mitigation first, monitor
- **Low confidence (<50%)**: Multiple possible causes, no clear correlation → gather more data, do NOT apply fixes, escalate to user
NEVER apply a destructive fix (restart, rollback, scale-down) with low confidence.
### Root Cause Investigation Steps
When investigating, follow this structured approach:
**Step 1 — Correlate with timeline:**
```
# Check what changed recently (deployments, config changes)
git log --oneline --since="2 hours ago"
# Check system events
journalctl --since "2 hours ago" --priority=err
```
**Step 2 — Gather metrics at the time of failure:**
```
# CPU spike diagnosis
ps aux --sort=-%cpu | head -20
# Memory pressure
free -h && cat /proc/meminfo | grep -E "MemAvailable|SwapUsed"
# Disk I/O bottleneck
iostat -x 1 5
# Network issues
ss -s && netstat -tlnp
```
**Step 3 — Extract and search logs:**
```
# Application logs around failure time
docker logs --since "30m" CONTAINER 2>&1 | grep -iE "error|fatal|panic|timeout"
# Kubernetes pod crash logs
kubectl logs POD -n NAMESPACE --previous --tail=200
# System logs
journalctl -u SERVICE --since "30 min ago" --no-pager | grep -iE "error|fail|kill"
```
**Step 4 — Common failure patterns and diagnosis:**
| Symptom | Likely Cause | Diagnosis Command |
|---------|-------------|-------------------|
| CPU 100% sustained | Infinite loop or runaway process | `top -b -n1 | head -15` |
| OOMKilled | Memory leak or undersized limits | `dmesg | grep -i "oom\\|killed"` |
| Connection refused | Service crashed or port conflict | `ss -tlnp | grep PORT` |
| DNS resolution failure | DNS server down or misconfigured | `dig @8.8.8.8 hostname` |
| SSL cert expired | Certificate not renewed | `openssl s_client -connect host:443 2>/dev/null | openssl x509 -noout -dates` |
| Disk full | Logs or data filling disk | `du -sh /* 2>/dev/null | sort -rh | head -10` |
**Step 5 — Confirm root cause before fixing:**
- Can you reproduce the issue? If not, gather more data.
- Does the timeline match? (e.g., deploy at 14:00, errors start at 14:02 → likely deploy-related)
- Is there a single root cause or multiple contributing factors?
- NEVER apply a fix unless you understand WHY it will work.
---
## Phase 6 — Infrastructure Analysis
Analyze infrastructure for optimization:
1. **Cost**: Identify over-provisioned resources, unused services
2. **Performance**: Find bottlenecks, suggest scaling strategies
3. **Security**: Check for exposed ports, outdated packages, misconfigurations
4. **Reliability**: Assess single points of failure, backup status
5. **Compliance**: Check against best practices (CIS benchmarks, etc.)
### Session Exit Criteria
Stop the current monitoring/incident session when ANY of these conditions is met:
1. **Incident resolved**: All health checks pass for 3 consecutive cycles after mitigation
2. **Escalation needed**: SEV1/SEV2 incident not mitigated within 10 minutes — alert user for manual intervention
3. **No issues found**: 5 consecutive monitoring cycles with all services healthy — save state and exit
4. **Resource exhausted**: Monitoring iterations exceed 30 in a single session — save state and schedule next run
5. **Cascading failure**: 3+ unrelated services failing simultaneously — stop automated remediation, alert user
---
## Phase 7 — State Persistence
1. memory_store `devops_hand_state`: checks_run, incidents_handled, deployments_managed
2. Update dashboard stats:
- memory_store `devops_hand_checks_run` — total health checks executed
- memory_store `devops_hand_uptime_pct` — overall uptime percentage
- memory_store `devops_hand_incidents_handled` — total incidents responded to
- memory_store `devops_hand_deployments_managed` — total deployments managed
---
## Guidelines
- NEVER execute destructive commands without explicit user confirmation
- NEVER expose secrets, tokens, or credentials in logs or reports
- NEVER bypass security controls or skip validation steps
- ALWAYS verify commands before executing in production environments
- ALWAYS maintain a rollback plan for any change
- Log all actions for auditability
- Prefer non-destructive investigation over disruptive debugging
- When in doubt, escalate to the user rather than taking risky action
- Respect rate limits on CI/CD and cloud provider APIs
- Keep incident reports factual and blame-free
"""
[dashboard]
[[dashboard.metrics]]
label = "Health Checks Run"
memory_key = "devops_hand_checks_run"
format = "number"
[[dashboard.metrics]]
label = "Uptime"
memory_key = "devops_hand_uptime_pct"
format = "percentage"
[[dashboard.metrics]]
label = "Incidents Handled"
memory_key = "devops_hand_incidents_handled"
format = "number"
[[dashboard.metrics]]
label = "Deployments Managed"
memory_key = "devops_hand_deployments_managed"
format = "number"
# ─── Token & Performance Metadata ─────────────────────────────────────────────
[metadata]
frequency = "continuous"
token_consumption = "high"
default_active = false
activation_warning = "DevOps hand runs continuously and monitors infrastructure, consuming tokens."
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---
name: devops-hand-skill
version: "1.0.0"
description: "Expert knowledge for AI DevOps automation -- CI/CD patterns, infrastructure monitoring, deployment strategies, and incident response playbooks"
runtime: prompt_only
---
# DevOps Expert Knowledge
## CI/CD Pipeline Patterns
### GitHub Actions Reference
**Basic workflow structure**:
```yaml
name: CI/CD Pipeline
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Build
run: make build
- name: Test
run: make test
- name: Lint
run: make lint
deploy:
needs: build
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
steps:
- name: Deploy
run: make deploy
```
**Useful API endpoints**:
```bash
# List workflow runs
curl -s -H "Authorization: Bearer $GITHUB_TOKEN" \
"https://api.github.com/repos/OWNER/REPO/actions/runs?per_page=10"
# Get workflow run details
curl -s -H "Authorization: Bearer $GITHUB_TOKEN" \
"https://api.github.com/repos/OWNER/REPO/actions/runs/RUN_ID"
# Re-run failed jobs
curl -s -X POST -H "Authorization: Bearer $GITHUB_TOKEN" \
"https://api.github.com/repos/OWNER/REPO/actions/runs/RUN_ID/rerun-failed-jobs"
```
### Pipeline Optimization Checklist
- [ ] Cache dependencies (node_modules, .cargo, pip cache)
- [ ] Parallelize independent jobs
- [ ] Use matrix builds for multi-version testing
- [ ] Skip unnecessary steps on non-code changes
- [ ] Use shallow clones for faster checkout
- [ ] Optimize Docker layer caching
- [ ] Run expensive tests only on main branch
---
## Infrastructure Monitoring
### Health Check Patterns
**HTTP endpoint check**:
```bash
curl -s -o /dev/null -w "%{http_code} %{time_total}s" --max-time 10 "$URL"
```
**TCP port check**:
```bash
nc -z -w5 hostname port && echo "UP" || echo "DOWN"
```
**SSL certificate expiry**:
```bash
echo | openssl s_client -servername HOST -connect HOST:443 2>/dev/null | \
openssl x509 -noout -dates
```
**DNS resolution**:
```bash
dig +short hostname
```
**Disk usage**:
```bash
df -h | grep -v tmpfs
```
**Memory usage**:
```bash
free -h
```
### The Four Golden Signals
| Signal | What to Measure | Alert Threshold |
|--------|----------------|-----------------|
| **Latency** | Request duration | P95 > 500ms |
| **Traffic** | Requests per second | Deviation > 50% from baseline |
| **Errors** | Error rate percentage | > 1% of requests |
| **Saturation** | Resource utilization | CPU/Memory > 80% |
### Docker Monitoring Commands
```bash
# Container status
docker ps --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
# Resource usage
docker stats --no-stream --format "table {{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}\t{{.NetIO}}"
# Container logs (last 100 lines)
docker logs --tail 100 CONTAINER_NAME
# Inspect container health
docker inspect --format='{{.State.Health.Status}}' CONTAINER_NAME
```
### Kubernetes Monitoring Commands
```bash
# Pod status across all namespaces
kubectl get pods --all-namespaces -o wide
# Resource usage
kubectl top pods --all-namespaces
kubectl top nodes
# Recent events (errors and warnings)
kubectl get events --sort-by=.lastTimestamp --field-selector type!=Normal
# Pod logs
kubectl logs POD_NAME -n NAMESPACE --tail=100
# Describe failing pod
kubectl describe pod POD_NAME -n NAMESPACE
```
---
## Deployment Strategies
### Blue-Green Deployment
```
1. Run current version on "Blue" environment
2. Deploy new version to "Green" environment
3. Run health checks on Green
4. Switch traffic from Blue to Green
5. Keep Blue as rollback target
6. After validation period, decommission Blue
```
### Canary Deployment
```
1. Deploy new version to small subset (5-10% of traffic)
2. Monitor error rates and latency
3. If healthy, gradually increase traffic (25% -> 50% -> 100%)
4. If problems detected, route all traffic back to old version
```
### Rolling Update
```
1. Update instances one at a time
2. Wait for health check to pass before updating next
3. If any instance fails health check, pause and alert
4. Continue until all instances updated
```
### Deployment Checklist
- [ ] All tests passing in CI
- [ ] Database migrations compatible (backward and forward)
- [ ] Feature flags configured for new features
- [ ] Monitoring and alerting in place
- [ ] Rollback procedure documented and tested
- [ ] On-call engineer notified
- [ ] Change request approved (if required)
---
## Incident Response
### Incident Lifecycle
```
Detection -> Triage -> Mitigation -> Investigation -> Resolution -> Post-mortem
```
### Severity Levels
| Level | Impact | Response Time | Example |
|-------|--------|--------------|---------|
| SEV1 | Full outage | Immediate | Production down |
| SEV2 | Major impact | 15 min | Core feature broken |
| SEV3 | Minor impact | 1 hour | Non-critical feature degraded |
| SEV4 | Low impact | Next business day | Cosmetic issue |
### Incident Response Template
```markdown
# Incident Report: [Title]
**Severity**: SEV[1-4]
**Status**: [Investigating | Mitigated | Resolved]
**Duration**: [Start time] - [End time]
## Timeline
- HH:MM - [Event or action taken]
- HH:MM - [Event or action taken]
## Root Cause
[What caused the incident]
## Impact
[Who was affected and how]
## Mitigation
[What was done to restore service]
## Resolution
[What was done to fix the root cause]
## Action Items
- [ ] [Preventive measure 1]
- [ ] [Preventive measure 2]
## Lessons Learned
[What we can improve]
```
---
## Infrastructure as Code
### Terraform Quick Reference
```bash
# Initialize
terraform init
# Plan changes
terraform plan -out=tfplan
# Apply changes
terraform apply tfplan
# Show current state
terraform show
# Destroy resources (DANGEROUS)
terraform destroy
```
### Docker Compose Quick Reference
```bash
# Start services
docker compose up -d
# Stop services
docker compose down
# View logs
docker compose logs -f SERVICE_NAME
# Rebuild and restart
docker compose up -d --build SERVICE_NAME
# Scale a service
docker compose up -d --scale SERVICE_NAME=3
```
---
## Common Failure Diagnosis Playbooks
### Memory Leak Detection
```bash
# Track memory growth over time
while true; do
ps aux --sort=-%mem | head -5 | awk '{print strftime("%H:%M:%S"), $2, $4"%", $11}'
sleep 60
done
# Check for OOM kills
dmesg | grep -i "oom\|killed" | tail -20
# Kubernetes memory pressure
kubectl top pods --sort-by=memory | head -10
```
### DNS Failure Cascade
```bash
# Test DNS resolution
dig hostname +short
dig @8.8.8.8 hostname +short # Bypass local DNS
# Check /etc/resolv.conf
cat /etc/resolv.conf
# Test from inside a container
kubectl exec -it POD -- nslookup hostname
```
### Database Connection Pool Exhaustion
```bash
# Check active connections (PostgreSQL)
psql -c "SELECT count(*) FROM pg_stat_activity WHERE state = 'active';"
psql -c "SELECT max_conn FROM pg_settings WHERE name = 'max_connections';"
# Check for long-running queries
psql -c "SELECT pid, now() - pg_stat_activity.query_start AS duration, query
FROM pg_stat_activity WHERE state != 'idle' ORDER BY duration DESC LIMIT 10;"
```
### Certificate Expiry Monitoring
```bash
# Check cert expiry for a list of domains
for domain in api.example.com app.example.com; do
expiry=$(echo | openssl s_client -servername $domain -connect $domain:443 2>/dev/null | \
openssl x509 -noout -enddate 2>/dev/null | cut -d= -f2)
echo "$domain: $expiry"
done
```