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.

Quality

—

Does it follow best practices?

Impact

—

No eval scenarios have been run

Securityby

Advisory

Suggest reviewing before use

Quality

Content

65%

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

A concise, well-organized procedural skill with a clear step sequence and a useful error table, but it stops at describing steps rather than giving executable configs/commands and fails to link the substantial bundle it ships with. Adding inline runnable snippets and explicit references to the bundled templates/scripts would lift the weaker dimensions.

Suggestions

Surface the bundle: link the provided templates and setup scripts from the relevant steps, e.g. 'See [loki_config_template.yaml](../assets/loki_config_template.yaml)' and 'Run [setup_elk.py](../scripts/setup_elk.py)', so the ready-made configs are discoverable.

Add concrete, copy-paste-ready artifacts inline — a minimal Filebeat/Promtail YAML block or a `kubectl apply`/`docker compose up` command — rather than only describing each step.

Insert per-stage validation checkpoints and a feedback loop (e.g. verify the storage backend is healthy before configuring shippers; if parsing fails, debug with the Grok Debugger and retry) instead of a single terminal test step.

Dimension	Reasoning	Score
Conciseness	Lean body that assumes Claude's competence — it does not explain what ELK, heap memory, or ILM are — and every section (prerequisites, instructions, error table, examples) earns its place rather than padding.	3 / 3
Actionability	Gives specific tool/port/value mappings and concrete fixes in the error table, but provides no inline copy-paste configs or commands, and the ready-made templates/scripts shipped in the bundle are never surfaced.	2 / 3
Workflow Clarity	A clear 9-step sequence with a terminal test step (step 9) exists, but there are no per-stage validation checkpoints or validate→fix→retry feedback loops for this batch infrastructure operation, which caps the score at 2.	2 / 3
Progressive Disclosure	The body is well-sectioned, but it references none of the bundled assets or scripts (config templates, dashboards, setup scripts); the 'Output' and 'Resources' sections describe or link external docs without pointing to the provided one-level-deep materials.	2 / 3
	Total	9 / 12 Passed

Description

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.

A strong, third-person description that states concrete capabilities, explicit natural-language triggers, and a clear use-when clause tied to named platforms. It is comprehensive yet concise with no over-claims.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete capabilities — 'data ingestion, processing, storage, and visualization with proper security and scalability' — matching the multi-action anchor rather than the partial-coverage anchor below.	3 / 3
Completeness	Explicitly answers both what ('Generates production-ready configurations for data ingestion, processing, storage, and visualization') and when ('Execute use when setting up log aggregation...', 'Trigger with phrases like...'), so it is not capped at 2.	3 / 3
Trigger Term Quality	Provides natural phrases users would say — 'setup log aggregation', 'deploy ELK stack', 'configure Loki', 'install Splunk' — giving good coverage of common variations.	3 / 3
Distinctiveness Conflict Risk	Clear niche (log aggregation on ELK/Loki/Splunk) with platform-specific triggers, making it unlikely to fire for unrelated skills.	3 / 3
	Total	12 / 12 Passed

Validation

87%

Warnings & errors only

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

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
allowed_tools_field	'allowed-tools' contains unusual tool name(s)	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 607d11b

Reviewed: 1 day ago

Table of Contents

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