Use when working with Elasticsearch Deep — deep Elasticsearch cluster management including shard allocation, index lifecycle policies, snapshot/restore operations, mapping optimization, and advanced query tuning. Covers node roles, circuit breakers, thread pools, watermark thresholds, and cross-cluster replication diagnostics. Read this skill before any advanced Elasticsearch operations.
Scanned 9/8/2026
Install to Claude Code
npx -y skills add cloudthinker-ai/CloudSkills --skill managing-elasticsearch-deep --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Managing Elasticsearch Deep?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/cloudthinker-ai-managing-elasticsearch-deep)More formats (shields.io, HTML) on the badges page.
---
name: managing-elasticsearch-deep
description: |
Use when working with Elasticsearch Deep — deep Elasticsearch cluster
management including shard allocation, index lifecycle policies,
snapshot/restore operations, mapping optimization, and advanced query tuning.
Covers node roles, circuit breakers, thread pools, watermark thresholds, and
cross-cluster replication diagnostics. Read this skill before any advanced
Elasticsearch operations.
connection_type: elasticsearch
preload: false
---
# Elasticsearch Deep Management Skill
Advanced cluster management, shard tuning, and index lifecycle operations for Elasticsearch.
## MANDATORY: Discovery-First Pattern
**Always run cluster health and node info before any management operations. Never assume index names or shard states.**
### Phase 1: Discovery
```bash
#!/bin/bash
ES_URL="${ELASTICSEARCH_URL:-http://localhost:9200}"
echo "=== Cluster Health ==="
curl -s "$ES_URL/_cluster/health?pretty"
echo ""
echo "=== Node Roles & Versions ==="
curl -s "$ES_URL/_cat/nodes?v&h=name,role,version,heap.percent,ram.percent,cpu,load_1m"
echo ""
echo "=== Index Summary ==="
curl -s "$ES_URL/_cat/indices?v&h=index,health,status,docs.count,store.size&s=store.size:desc" | head -20
echo ""
echo "=== Shard Allocation ==="
curl -s "$ES_URL/_cat/shards?v&h=index,shard,prirep,state,docs,store,node&s=store:desc" | head -20
echo ""
echo "=== Pending Tasks ==="
curl -s "$ES_URL/_cluster/pending_tasks?pretty"
```
**Phase 1 outputs:** Cluster state, node topology, index list with sizes, shard distribution, pending tasks.
### Phase 2: Analysis
```bash
#!/bin/bash
ES_URL="${ELASTICSEARCH_URL:-http://localhost:9200}"
echo "=== Unassigned Shards ==="
curl -s "$ES_URL/_cat/shards?v&h=index,shard,prirep,state,unassigned.reason" | grep UNASSIGNED | head -10
echo ""
echo "=== Disk Watermarks ==="
curl -s "$ES_URL/_cluster/settings?include_defaults=true&flat_settings=true" | \
python3 -c "import sys,json; d=json.load(sys.stdin); [print(k,v) for k,v in d.get('defaults',{}).items() if 'watermark' in k]" 2>/dev/null
echo ""
echo "=== Thread Pool Rejections ==="
curl -s "$ES_URL/_cat/thread_pool?v&h=node_name,name,active,rejected,completed" | grep -E "write|search|get" | head -15
echo ""
echo "=== Circuit Breakers ==="
curl -s "$ES_URL/_nodes/stats/breaker?pretty" | python3 -c "
import sys, json
data = json.load(sys.stdin)
for nid, node in data.get('nodes', {}).items():
print(f\"Node: {node['name']}\")
for name, info in node.get('breakers', {}).items():
print(f\" {name}: limit={info['limit_size']}, estimated={info['estimated_size']}, tripped={info['tripped']}\")
" 2>/dev/null
echo ""
echo "=== ILM Policy Status ==="
curl -s "$ES_URL/_ilm/status?pretty"
curl -s "$ES_URL/_cat/indices?v&h=index,health,status,docs.count,store.size&s=index" | grep -E "^(shrink|rollover|delete)" | head -10
```
## Output Format
Present findings as:
```
ELASTICSEARCH DEEP ANALYSIS
===========================
Cluster: [name] | Status: [green/yellow/red]
Nodes: [count] | Shards: [active]/[total] | Unassigned: [count]
ISSUES FOUND:
- [issue description with affected index/node]
RECOMMENDATIONS:
- [actionable recommendation]
```
## Anti-Hallucination Rules
1. **NEVER assume resource names** — always discover via CLI/API in Phase 1 before referencing in Phase 2.
2. **NEVER fabricate metric names or dimensions** — verify against the service documentation or `--help` output.
3. **NEVER mix CLI commands between service versions** — confirm which version/API you are targeting.
4. **ALWAYS use the discovery → verify → analyze chain** — every resource referenced must have been discovered first.
5. **ALWAYS handle empty results gracefully** — an empty response is valid data, not an error to retry.
## Counter-Rationalizations
| Shortcut | Counter | Why |
|----------|---------|-----|
| "I'll skip discovery and check known resources" | Always run Phase 1 discovery first | Resource names change, new resources appear — assumed names cause errors |
| "The user only asked for a quick check" | Follow the full discovery → analysis flow | Quick checks miss critical issues; structured analysis catches silent failures |
| "Default configuration is probably fine" | Audit configuration explicitly | Defaults often leave logging, security, and optimization features disabled |
| "Metrics aren't needed for this" | Always check relevant metrics when available | API/CLI responses show current state; metrics reveal trends and intermittent issues |
| "I don't have access to that" | Try the command and report the actual error | Assumed permission failures prevent useful investigation; actual errors are informative |
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!