compression-optimizer
Compression Optimizer - Auto-activating skill for Data Pipelines. Triggers on: compression optimizer, compression optimizer Part of the Data Pipelines skill category.
33
Quality
3%
Does it follow best practices?
Impact
85%
1.07xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/11-data-pipelines/compression-optimizer/SKILL.mdQuality
Discovery
7%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 description is severely lacking in all key areas. It provides no concrete actions, no natural trigger terms users would actually say, and fails to explain what the skill does or when to use it. The description appears to be auto-generated boilerplate with no substantive content.
Suggestions
Add specific concrete actions the skill performs, e.g., 'Selects optimal compression algorithms, configures compression levels, analyzes compression ratios for data pipeline stages'
Include a 'Use when...' clause with natural trigger terms like 'compress data', 'reduce file size', 'gzip', 'zstd', 'optimize storage', 'compression ratio'
Specify the types of compression handled (file compression, streaming compression, algorithm selection) to distinguish from other potential compression-related skills
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description contains no concrete actions whatsoever. 'Compression Optimizer' is just a name, and 'Auto-activating skill for Data Pipelines' provides no information about what the skill actually does. | 1 / 3 |
Completeness | The description fails to answer both 'what does this do' and 'when should Claude use it'. There is no explanation of capabilities and no meaningful trigger guidance beyond the skill's own name. | 1 / 3 |
Trigger Term Quality | The only trigger terms listed are 'compression optimizer, compression optimizer' (duplicated). These are not natural keywords users would say - users would more likely say 'compress data', 'reduce file size', 'gzip', 'optimize storage', etc. | 1 / 3 |
Distinctiveness Conflict Risk | While 'compression optimizer' is somewhat specific to a niche, the lack of detail about what kind of compression (file, data, image, algorithm selection) means it could overlap with various compression-related skills. | 2 / 3 |
Total | 5 / 12 Passed |
Implementation
0%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is an empty template with no actual content about compression optimization. It contains only generic placeholder text that could apply to any skill topic, providing no actionable guidance, code examples, or specific techniques for optimizing compression in data pipelines.
Suggestions
Add concrete code examples for common compression algorithms (gzip, snappy, lz4, zstd) with specific use cases and performance tradeoffs
Include a decision matrix or workflow for choosing compression strategies based on data characteristics (size, access patterns, CPU vs I/O constraints)
Provide executable configuration examples for compression in common data pipeline tools (Spark, Airflow, Kafka)
Add validation steps for verifying compression ratios and performance benchmarks
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that provides no actual information about compression optimization. Phrases like 'provides automated assistance' and 'follows industry best practices' are meaningless filler that waste tokens. | 1 / 3 |
Actionability | There is zero concrete guidance - no code, no commands, no specific techniques for compression optimization. The content only describes what the skill claims to do rather than providing any executable instructions. | 1 / 3 |
Workflow Clarity | No workflow is defined. Despite claiming to provide 'step-by-step guidance,' the skill contains no actual steps, processes, or validation checkpoints for compression optimization tasks. | 1 / 3 |
Progressive Disclosure | The content is a flat, uninformative structure with no references to detailed materials, examples, or related documentation. There's nothing to progressively disclose because there's no substantive content. | 1 / 3 |
Total | 4 / 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.
Validation — 9 / 11 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 | 9 / 11 Passed | |
- Commit
0c08951
- Reviewed
Table of Contents
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