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detecting-performance-bottlenecks

Execute this skill enables AI assistant to detect and resolve performance bottlenecks in applications. it analyzes cpu, memory, i/o, and database performance to identify areas of concern. use this skill when you need to diagnose slow application performance, op... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.

36

Quality

33%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/performance/bottleneck-detector/skills/detecting-performance-bottlenecks/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

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 almost entirely generic boilerplate with no actionable content. It describes what a bottleneck detector would do in abstract terms but provides zero concrete guidance—no profiling commands, no diagnostic code, no specific tools, no example outputs, and no real workflows. Multiple sections ('Prerequisites', 'Instructions', 'Output', 'Error Handling', 'Resources') contain placeholder text that could apply to literally any skill.

Suggestions

Replace abstract descriptions with concrete, executable examples: include actual profiling commands (e.g., `py-spy`, `EXPLAIN ANALYZE`, `vmstat`, `iostat`), specific code snippets for detecting memory leaks, and real diagnostic workflows.

Remove all generic boilerplate sections ('Prerequisites', 'Instructions', 'Output', 'Error Handling', 'Resources') that contain no skill-specific content—they waste tokens without adding value.

Add a concrete multi-step diagnostic workflow with validation checkpoints, e.g.: 1) Run CPU profiler → 2) Analyze hotspots → 3) Check memory with specific tool → 4) Run database EXPLAIN → 5) Verify improvements with benchmarks.

Include at least one complete, copy-paste-ready example showing actual input (e.g., a slow query) and the expected diagnostic output with specific remediation code.

DimensionReasoningScore

Conciseness

Extremely verbose with extensive padding. The 'Overview' section restates the title, 'How It Works' describes abstract steps Claude already knows, 'When to Use' repeats the description, and sections like 'Prerequisites', 'Instructions', 'Output', 'Error Handling', and 'Resources' are generic boilerplate with no substantive content. Nearly every section explains concepts Claude already understands.

1 / 3

Actionability

No concrete code, commands, or executable guidance anywhere. The entire skill is abstract descriptions like 'analyze database query performance' and 'profile memory usage patterns' without any actual profiling commands, diagnostic scripts, SQL EXPLAIN examples, or specific tools to use. The 'Instructions' section is completely generic ('Invoke this skill when trigger conditions are met').

1 / 3

Workflow Clarity

The 'How It Works' section lists three abstract phases with no concrete steps, no validation checkpoints, and no feedback loops. The examples describe what the skill 'will' do in vague terms without specifying how. There is no actionable sequence for diagnosing any type of bottleneck.

1 / 3

Progressive Disclosure

The content is a monolithic wall of vague text with no references to external files, no structured navigation, and no separation of concerns. Multiple sections contain placeholder-quality content that adds no value. There are no bundle files to reference, but the content itself is poorly organized with redundant sections.

1 / 3

Total

4

/

12

Passed

Description

67%

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

The description covers the basics of what the skill does and when to use it, including an explicit trigger clause. However, it suffers from truncation ('op...'), uses first/second person framing ('Execute this skill enables AI assistant'), and could be more specific about concrete actions and distinct from overlapping performance-related skills.

Suggestions

Fix the truncated text and remove the awkward 'Execute this skill enables AI assistant' phrasing; use third person voice like 'Detects and resolves performance bottlenecks...'

Expand trigger terms to include common variations like 'latency', 'memory leak', 'slow query', 'profiling', 'high CPU usage', 'response time'

Add more specific concrete actions (e.g., 'profiles code execution paths, identifies slow database queries, detects memory leaks, recommends caching strategies') to improve specificity and distinctiveness

DimensionReasoningScore

Specificity

It names the domain (performance bottlenecks) and mentions some specific areas (CPU, memory, I/O, database performance), but the description is truncated ('op...') and doesn't fully list concrete actions. The actions mentioned are mostly 'detect', 'resolve', and 'analyze' which are somewhat generic.

2 / 3

Completeness

It answers both 'what' (detect and resolve performance bottlenecks, analyze CPU/memory/I/O/database) and 'when' (explicit 'Use when optimizing performance' clause with trigger phrases). Despite the truncation, both components are present.

3 / 3

Trigger Term Quality

Includes some natural trigger terms like 'optimize', 'performance', 'speed up', 'slow application performance', but misses common variations like 'latency', 'profiling', 'bottleneck', 'slow query', 'memory leak', 'high CPU'. The coverage is partial.

2 / 3

Distinctiveness Conflict Risk

Performance optimization is a reasonably specific niche, but the broad terms like 'optimize' and 'performance' could overlap with database-specific optimization skills, frontend performance skills, or general code review skills. It doesn't clearly distinguish its scope (e.g., backend vs. frontend, specific languages).

2 / 3

Total

9

/

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.

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

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

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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