Pino
majiayu000/claude-skill-registry
Pino is a fast Node.js logger that writes structured JSON, one object per line.
Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis.
$ npx skills add sickn33/agentic-awesome-skills --skill elk-stack -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills elk-stack --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/elk-stack .claude/skills/elk-stack && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "elk-stack" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/elk-stack into .claude/skills/elk-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elk-stack", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/elk-stackType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill elk-stack -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills elk-stack --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/elk-stack .agents/skills/elk-stack && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "elk-stack" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/elk-stack into .agents/skills/elk-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elk-stack", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill elk-stack -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills elk-stack --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/elk-stack .cursor/skills/elk-stack && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "elk-stack" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/elk-stack into .cursor/skills/elk-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elk-stack", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/elk-stack--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill elk-stack -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills elk-stack --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/elk-stack .gemini/skills/elk-stack && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "elk-stack" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/elk-stack into .gemini/skills/elk-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elk-stack", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills elk-stackInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill elk-stack -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/elk-stack .github/skills/elk-stack && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "elk-stack" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/elk-stack into .github/skills/elk-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elk-stack", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill elk-stack -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills elk-stack --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/elk-stack .opencode/skills/elk-stack && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "elk-stack" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/elk-stack into .opencode/skills/elk-stack/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "elk-stack", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
elk-stackDeploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis.
Elk Stack is an agent skill from sickn33/agentic-awesome-skills. Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires the relevant platform CLIs (kubectl, helm, terraform, git, CI runners) and authorized access to the target environment. Docs-only; helper scripts and…
It sits in DevOps & Cloud, covering Search implementation and Observability. It works with Elasticsearch. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitkubectlFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires the relevant platform CLIs (kubectl, helm, terraform, git, CI runners) and authorized access to the target environment. Docs-only; helper scripts and templates not bundled.
From compatibility in the SKILL.md frontmatter.
Elk Stack loads about 2.6k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 364 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 364 words, ~2,561 tokens.
.claude/skills/elk-stack/SKILL.md (or your agent's skills folder).Centralize and analyze logs with Elasticsearch, Logstash, and Kibana.
Use this skill when:
# docker-compose.yml
version: '3.8'
services:
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch:8.11.0
environment:
- discovery.type=single-node
- xpack.security.enabled=false
- "ES_JAVA_OPTS=-Xms1g -Xmx1g"
ports:
- "9200:9200"
volumes:
- elasticsearch-data:/usr/share/elasticsearch/data
logstash:
image: docker.elastic.co/logstash/logstash:8.11.0
volumes:
- ./logstash/pipeline:/usr/share/logstash/pipeline
- ./logstash/config:/usr/share/logstash/config
ports:
- "5044:5044"
- "5000:5000"
depends_on:
- elasticsearch
kibana:
image: docker.elastic.co/kibana/kibana:8.11.0
ports:
- "5601:5601"
environment:
- ELASTICSEARCH_HOSTS=http://elasticsearch:9200
depends_on:
- elasticsearch
filebeat:
image: docker.elastic.co/beats/filebeat:8.11.0
user: root
volumes:
- ./filebeat/filebeat.yml:/usr/share/filebeat/filebeat.yml:ro
- /var/lib/docker/containers:/var/lib/docker/containers:ro
- /var/run/docker.sock:/var/run/docker.sock:ro
depends_on:
- logstash
volumes:
elasticsearch-data:PUT _index_template/logs-template
{
"index_patterns": ["logs-*"],
"template": {
"settings": {
"number_of_shards": 1,
"number_of_replicas": 1,
"index.lifecycle.name": "logs-policy"
},
"mappings": {
"properties": {
"@timestamp": { "type": "date" },
"message": { "type": "text" },
"level": { "type": "keyword" },
"service": { "type": "keyword" },
"host": { "type": "keyword" },
"trace_id": { "type": "keyword" }
}
}
}
}PUT _ilm/policy/logs-policy
{
"policy": {
"phases": {
"hot": {
"min_age": "0ms",
"actions": {
"rollover": {
"max_size": "50GB",
"max_age": "1d"
}
}
},
"warm": {
"min_age": "7d",
"actions": {
"shrink": { "number_of_shards": 1 },
"forcemerge": { "max_num_segments": 1 }
}
},
"cold": {
"min_age": "30d",
"actions": {
"freeze": {}
}
},
"delete": {
"min_age": "90d",
"actions": {
"delete": {}
}
}
}
}
}# logstash/pipeline/main.conf
input {
beats {
port => 5044
}
tcp {
port => 5000
codec => json_lines
}
}
filter {
# Parse JSON logs
if [message] =~ /^\{/ {
json {
source => "message"
}
}
# Parse timestamp
date {
match => ["timestamp", "ISO8601", "yyyy-MM-dd HH:mm:ss"]
target => "@timestamp"
}
# Add environment tag
mutate {
add_field => { "environment" => "production" }
}
# Grok pattern for nginx logs
if [type] == "nginx" {
grok {
match => {
"message" => '%{IPORHOST:client_ip} - %{USER:user} \[%{HTTPDATE:timestamp}\] "%{WORD:method} %{URIPATHPARAM:request} HTTP/%{NUMBER:http_version}" %{NUMBER:status} %{NUMBER:bytes}'
}
}
}
}
output {
elasticsearch {
hosts => ["elasticsearch:9200"]
index => "logs-%{+YYYY.MM.dd}"
}
}filter {
# Parse application logs
grok {
match => {
"message" => "%{TIMESTAMP_ISO8601:timestamp} %{LOGLEVEL:level} \[%{DATA:service}\] %{GREEDYDATA:log_message}"
}
}
# Extract trace ID from message
if [log_message] =~ /trace_id=/ {
grok {
match => { "log_message" => "trace_id=%{UUID:trace_id}" }
}
}
# GeoIP lookup
if [client_ip] {
geoip {
source => "client_ip"
target => "geoip"
}
}
# Drop debug logs in production
if [level] == "DEBUG" and [environment] == "production" {
drop {}
}
# Enrich with lookup
translate {
field => "status"
destination => "status_description"
dictionary => {
"200" => "OK"
"404" => "Not Found"
"500" => "Internal Server Error"
}
}
}# filebeat/filebeat.yml
filebeat.inputs:
- type: container
paths:
- '/var/lib/docker/containers/*/*.log'
processors:
- add_docker_metadata:
host: "unix:///var/run/docker.sock"
- type: log
enabled: true
paths:
- /var/log/nginx/*.log
tags: ["nginx"]
fields:
type: nginx
output.logstash:
hosts: ["logstash:5044"]
logging.level: info
logging.to_files: true
logging.files:
path: /var/log/filebeat
name: filebeat
keepfiles: 7// Search all logs
GET logs-*/_search
{
"query": {
"match_all": {}
}
}
// Search by keyword
GET logs-*/_search
{
"query": {
"match": {
"message": "error"
}
}
}
// Filter by field
GET logs-*/_search
{
"query": {
"bool": {
"must": [
{ "match": { "level": "ERROR" } },
{ "range": { "@timestamp": { "gte": "now-1h" } } }
],
"filter": [
{ "term": { "service": "api-gateway" } }
]
}
}
}// Count by log level
GET logs-*/_search
{
"size": 0,
"aggs": {
"log_levels": {
"terms": { "field": "level" }
}
}
}
// Error rate over time
GET logs-*/_search
{
"size": 0,
"aggs": {
"errors_over_time": {
"date_histogram": {
"field": "@timestamp",
"fixed_interval": "5m"
},
"aggs": {
"error_count": {
"filter": { "term": { "level": "ERROR" } }
}
}
}
}
}logs-*@timestampCreate saved searches for common queries:
level:ERROR - All errorsservice:api-gateway AND level:ERROR - API gateway errorsresponse_time:>1000 - Slow requestsCommon visualization types:
Create dashboard with:
PUT _watcher/watch/error_alert
{
"trigger": {
"schedule": { "interval": "5m" }
},
"input": {
"search": {
"request": {
"indices": ["logs-*"],
"body": {
"query": {
"bool": {
"must": [
{ "match": { "level": "ERROR" } },
{ "range": { "@timestamp": { "gte": "now-5m" } } }
]
}
}
}
}
}
},
"condition": {
"compare": { "ctx.payload.hits.total.value": { "gt": 100 } }
},
"actions": {
"notify_slack": {
"webhook": {
"scheme": "https",
"host": "hooks.slack.com",
"port": 443,
"method": "post",
"path": "/services/xxx",
"body": "{\"text\": \"High error rate detected: {{ctx.payload.hits.total.value}} errors in last 5 minutes\"}"
}
}
}
}Problem: Elasticsearch consuming too much disk Solution: Implement ILM policies, reduce retention
Problem: Queries taking too long Solution: Optimize index settings, add more shards, use filters
Problem: Logs not parsed correctly Solution: Test grok patterns, check for log format changes
Problem: Elasticsearch OOM errors Solution: Increase heap size (max 50% of RAM), limit field data
loki-logging) - Alternative logging stackprometheus-grafana) - Metrics monitoringaudit-logging) - Compliance logginggit status && git diff --stat
kubectl diff -f manifest.yamlAdapted from BagelHole/DevOps-Security-Agent-Skills (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/elk-stack of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 1e53ce2
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Elk Stack next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Elk Stack this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Pinomajiayu000/claude-skill-registry | 666 | 1 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Elk StackBagelHole/DevOps-Security-Agent-Skills | 1.1k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Cloud Provisioningelastic/agent-skills | 592 | — | ~5.4k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Log Forwarding With Fluentdmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~697 | Automated safety check: Pass | Apache-2.0 | |
| Test Exposed Servicescyberful/cyberful | 134 | — | ~866 | Automated safety check: Pass | AGPL-3.0 |
majiayu000/claude-skill-registry
Pino is a fast Node.js logger that writes structured JSON, one object per line.
BagelHole/DevOps-Security-Agent-Skills
Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis.
elastic/agent-skills
Provision and operate Elastic Cloud infrastructure: create, connect to, update, and delete Serverless projects (Elasticsearch, Observability, Security); manage traffic filters (IP and AWS…
mukul975/Anthropic-Cybersecurity-Skills
Configures Fluent Bit as an endpoint log forwarder and Fluentd as the central aggregator for centralized log collection, routing, filtering, and enrichment, covering input plugins for…
cyberful/cyberful
Assess externally or internally reachable services, administrative planes, debug interfaces, data stores, search clusters, object storage, orphaned DNS, and deployment exposure during authorized…
alibaba/UnifiedModel
Investigates a service incident to its root cause by querying a UModel object graph alongside metrics, logs, topology and recent deployments.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Works with
Categories
Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis. Elk Stack is an agent skill from sickn33/agentic-awesome-skills. Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis.
Elk Stack fits situations like: tasks that involve Search implementation; tasks that involve Observability.
Run `npx skills add sickn33/agentic-awesome-skills --skill elk-stack -a claude-code`. Or copy the skill folder (skills/elk-stack in sickn33/agentic-awesome-skills) into .claude/skills/elk-stack in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill elk-stack -a codex`. Or copy the skill folder (skills/elk-stack in sickn33/agentic-awesome-skills) into .agents/skills/elk-stack in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill elk-stack -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/elk-stack, .gemini/skills/elk-stack, .github/skills/elk-stack and .opencode/skills/elk-stack in your project.
Going by SKILL.md and its folder, Elk Stack needs the command-line tools its instructions call (git and kubectl). Our summary lists: Docker. Compatibility (from SKILL.md): Requires the relevant platform CLIs (kubectl, helm, terraform, git, CI runners) and authorized access to the target environment. Docs-only; helper scripts and templates not bundled..
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Elk Stack is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Elk Stack: Pino (majiayu000/claude-skill-registry, 666 stars), Elk Stack (BagelHole/DevOps-Security-Agent-Skills, 1.1k stars), Cloud Provisioning (elastic/agent-skills, 592 stars) and Implementing Log Forwarding With Fluentd (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.