Track and optimize resource usage across application stack including CPU, memory, disk, and network I/O. Use when identifying bottlenecks or optimizing costs. Trigger with phrases like "track resource usage", "monitor CPU and memory", or "optimize resource allocation".
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill tracking-resource-usage60
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillValidation for skill structure
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 capabilities (resource tracking across CPU, memory, disk, network I/O), clear use cases (bottleneck identification, cost optimization), and explicit trigger phrases that users would naturally say. The description uses proper third-person voice and maintains a clear, distinct niche.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'Track and optimize resource usage' with explicit resource types 'CPU, memory, disk, and network I/O'. Also mentions specific use cases like 'identifying bottlenecks' and 'optimizing costs'. | 3 / 3 |
Completeness | Clearly answers both what ('Track and optimize resource usage across application stack including CPU, memory, disk, and network I/O') and when ('Use when identifying bottlenecks or optimizing costs') with explicit trigger phrases provided. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger phrases users would say: 'track resource usage', 'monitor CPU and memory', 'optimize resource allocation'. These are realistic phrases a user would naturally use when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused on resource monitoring and optimization with specific triggers around CPU, memory, disk, and network I/O. The explicit trigger phrases and focus on 'application stack' resources make it unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
20%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is overly verbose and abstract, explaining concepts Claude already understands while failing to provide any executable code or specific commands. It reads more like a product description than actionable guidance, with examples that describe what 'the skill will do' rather than showing concrete implementation steps.
Suggestions
Replace abstract descriptions with concrete, executable commands (e.g., 'vmstat 1 5', 'iostat -x 1', 'ps aux --sort=-%mem | head -20') that Claude can actually run
Remove the 'Overview', 'How It Works', and 'When to Use' sections entirely - Claude doesn't need to be told when to use a skill or how it conceptually works
Add specific code examples with expected output formats, such as parsing vmstat output or calculating memory leak indicators from /proc/meminfo
Include validation steps in the workflow, such as 'Verify metrics collection is working: if vmstat returns empty, check permissions with sudo'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose with extensive explanation of concepts Claude already knows. The overview, 'How It Works', and 'When to Use' sections are padded with unnecessary context that doesn't add actionable value. | 1 / 3 |
Actionability | No concrete code, commands, or executable examples. The entire skill describes what it will do abstractly ('The skill will...') rather than providing actual commands like 'top -b -n 1' or specific tool invocations. | 1 / 3 |
Workflow Clarity | Steps are listed in the Instructions section but lack validation checkpoints. No feedback loops for error recovery, and the workflow is too abstract to be actionable (e.g., 'Collect real-time metrics using system tools' without specifying which tools or commands). | 2 / 3 |
Progressive Disclosure | Content is organized into sections but is monolithic with no references to external files. The lengthy content could benefit from splitting detailed examples and best practices into separate reference files. | 2 / 3 |
Total | 6 / 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 — 13 / 16 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
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 | |
Table of Contents
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