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agent-performance-analyzer

Agent skill for performance-analyzer - invoke with $agent-performance-analyzer

35

1.00x
Quality

0%

Does it follow best practices?

Impact

99%

1.00x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./.agents/skills/agent-performance-analyzer/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

0%Scale 1-3

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

This skill is a high-level conceptual document that reads like a product brochure rather than actionable instructions for Claude. It describes what a performance analyzer would do in abstract terms but provides zero concrete tools, commands, scripts, or executable steps. The content is heavily padded with general knowledge Claude already possesses about performance analysis concepts.

Suggestions

Replace abstract workflow steps with concrete, executable commands or scripts (e.g., specific profiling tools, actual shell commands for collecting metrics, real code for analyzing results).

Remove sections that explain general concepts Claude already knows (bottleneck types, what KPIs are, best practices like 'monitor before issues become critical') and focus only on project-specific tooling and conventions.

Add validation checkpoints and feedback loops to the workflow — e.g., 'Run X command, check output for Y pattern, if Z then retry with different parameters'.

Either provide bundle files with detailed reference material and link to them, or dramatically condense the content to under 50 lines of truly actionable, specific instructions.

DimensionReasoningScore

Conciseness

Extremely verbose with extensive explanations of general concepts Claude already knows (what bottleneck types are, what KPIs are, what continuous monitoring means). Lists of vague categories like 'Pattern analysis across multiple runs' and 'Resource utilization tracking' add no actionable value. The content could be reduced by 70%+ without losing useful information.

1 / 3

Actionability

No executable code, no concrete commands, no specific tools or scripts to run. The 'workflow' steps are abstract descriptions ('Gather execution metrics', 'Profile resource usage') with no indication of how to actually do any of them. The optimization examples are hypothetical narratives rather than actionable instructions. The report format is a template with placeholders, not executable guidance.

1 / 3

Workflow Clarity

The three-phase workflow (Data Collection, Analysis, Recommendation) consists entirely of vague numbered lists with no concrete actions, no validation checkpoints, no error recovery, and no feedback loops. There is no clear sequence of actual operations Claude should perform. Steps like 'Identify hotspots' and 'Correlate metrics' provide no guidance on how to accomplish them.

1 / 3

Progressive Disclosure

Monolithic wall of text with no references to external files and no bundle files provided. All content is inline regardless of depth or relevance. Sections like 'Advanced Features' mention ML-based prediction and self-tuning parameters with zero supporting detail or references, making them empty promises rather than useful navigation points.

1 / 3

Total

4

/

12

Passed

Description

0%Scale 1-3

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 essentially a label and invocation command rather than a functional description. It fails on every dimension: it provides no concrete actions, no natural trigger terms, no 'when to use' guidance, and nothing to distinguish it from other skills. It is among the weakest possible descriptions for skill selection purposes.

Suggestions

Add specific concrete actions the skill performs, e.g., 'Profiles application code, identifies performance bottlenecks, analyzes CPU and memory usage, and generates optimization recommendations.'

Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user mentions slow performance, profiling, benchmarking, optimization, latency, or resource usage.'

Specify the domain or type of performance analysis (e.g., web app, database queries, system resources) to reduce conflict risk with other potentially similar skills.

DimensionReasoningScore

Specificity

The description contains no concrete actions whatsoever. 'Agent skill for performance-analyzer' is entirely vague and does not describe what the skill actually does—no specific capabilities like profiling, benchmarking, or identifying bottlenecks are mentioned.

1 / 3

Completeness

Neither the 'what does this do' nor the 'when should Claude use it' questions are answered. The description only states it's an agent skill and how to invoke it, providing no functional or trigger information.

1 / 3

Trigger Term Quality

The only keyword is 'performance-analyzer,' which is a tool name rather than a natural user query term. Users would say things like 'slow code,' 'optimize,' 'benchmark,' 'profiling,' or 'bottleneck,' none of which appear.

1 / 3

Distinctiveness Conflict Risk

The description is so generic that it could overlap with any performance-related skill. Without specifying what kind of performance (web, database, code, system) or what actions it takes, it offers no distinguishing characteristics.

1 / 3

Total

4

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
ruvnet/claude-flow
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.