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setting-up-log-aggregation

Execute use when setting up log aggregation solutions using ELK, Loki, or Splunk. Trigger with phrases like "setup log aggregation", "deploy ELK stack", "configure Loki", or "install Splunk". Generates production-ready configurations for data ingestion, processing, storage, and visualization with proper security and scalability.

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill setting-up-log-aggregation
What are skills?

68

Does it follow best practices?

Validation for skill structure

SKILL.md
Review
Evals

Discovery

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This is a well-crafted skill description that excels across all dimensions. It provides specific actions, excellent trigger term coverage with natural phrases users would say, explicit guidance on when to use it, and a clearly defined niche that distinguishes it from other DevOps-related skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'setting up log aggregation solutions', 'deploy ELK stack', 'configure Loki', 'install Splunk', and 'Generates production-ready configurations for data ingestion, processing, storage, and visualization with proper security and scalability.'

3 / 3

Completeness

Clearly answers both what (generates production-ready configurations for log aggregation with ELK/Loki/Splunk) and when (explicit 'Use when' equivalent with 'Trigger with phrases like...' providing clear activation guidance).

3 / 3

Trigger Term Quality

Excellent coverage of natural trigger phrases users would say: 'setup log aggregation', 'deploy ELK stack', 'configure Loki', 'install Splunk', plus mentions specific tools (ELK, Loki, Splunk) that users would naturally reference.

3 / 3

Distinctiveness Conflict Risk

Very clear niche focused specifically on log aggregation with named tools (ELK, Loki, Splunk). Unlikely to conflict with general DevOps or monitoring skills due to specific tool mentions and 'log aggregation' focus.

3 / 3

Total

12

/

12

Passed

Implementation

37%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This skill provides useful starter configurations for ELK and Loki but suffers from incomplete actionability in its workflow steps and lacks validation checkpoints critical for infrastructure deployment. The document has structural issues including duplicate headers and mixes concrete configs with vague instructions.

Suggestions

Add explicit validation commands between deployment steps (e.g., 'curl -X GET localhost:9200/_cluster/health' after Elasticsearch starts, verify log ingestion before proceeding)

Include the missing logstash.conf pipeline configuration and Filebeat/Promtail shipper configs referenced in the instructions

Remove the duplicate '## Overview' and '## Examples' headers that appear mid-document and reorganize content flow

Replace vague instruction steps with specific commands (e.g., 'docker-compose up -d elasticsearch && sleep 30 && docker-compose up -d logstash kibana')

DimensionReasoningScore

Conciseness

The content is reasonably efficient but includes some unnecessary sections like the duplicated '## Overview' and '## Examples' headers mid-document, and the prerequisites section explains concepts Claude would understand. The error handling section adds value but could be more compact.

2 / 3

Actionability

Provides concrete Docker Compose and Loki configurations that are executable, but the main instructions (steps 1-7) are vague and lack specific commands. Missing Filebeat/Promtail configurations, logstash.conf content, and actual dashboard setup commands.

2 / 3

Workflow Clarity

The 7-step workflow lists actions but lacks validation checkpoints between steps. No verification that Elasticsearch is healthy before deploying Logstash, no log flow testing commands, and no feedback loops for error recovery during deployment.

1 / 3

Progressive Disclosure

References external resources and example directories appropriately, but the document itself is somewhat disorganized with duplicate headers appearing mid-content. The structure could better separate quick-start from advanced configurations.

2 / 3

Total

7

/

12

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

metadata_version

'metadata' field is not a dictionary

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

13

/

16

Passed

Reviewed

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