pop-assessment-performance | popkit | ClaudePluginHub

Skill

Community

pop-assessment-performance

0

Description

Evaluates PopKit efficiency using concrete metrics for context usage, token consumption, and lazy loading validation

Tool Access

Full access

Inherits all available tools

Supporting Files

10 files

Additional assets for this skill

Tool Access

This skill inherits all available tools. When active, it can use any tool Claude has access to.

Supporting Assets

checklists/context-efficiency.json

checklists/file-access-patterns.json

checklists/startup-performance.json

scripts/analyze_loading.py

scripts/calculate_efficiency.py

scripts/measure_context.py

standards/context-efficiency.md

standards/file-access.md

standards/startup-performance.md

standards/token-consumption.md

Skill Content

name: pop-assessment-performance description: "Evaluates PopKit efficiency using concrete metrics for context usage, token consumption, and lazy loading validation" triggers:

assess performance
performance test
efficiency audit version: 1.0.0

Performance Assessment Skill

Purpose

Provides concrete, reproducible performance assessment for PopKit plugins using:

Measurable efficiency metrics
Automated context analysis
Token consumption estimation
Lazy loading validation

How to Use

Step 1: Run Automated Metrics Collection

python skills/pop-assessment-performance/scripts/measure_context.py packages/plugin/
python skills/pop-assessment-performance/scripts/analyze_loading.py packages/plugin/
python skills/pop-assessment-performance/scripts/calculate_efficiency.py packages/plugin/

Step 2: Apply Performance Checklists

Read and apply checklists in order:

checklists/context-efficiency.json - Context window usage
checklists/startup-performance.json - Plugin initialization
checklists/file-access-patterns.json - Read/write efficiency

Step 3: Generate Report

Combine automated metrics with checklist results for final performance report.

Standards Reference

Standard	File	Key Checks
Context Efficiency	`standards/context-efficiency.md`	CE-001 through CE-008
Startup Performance	`standards/startup-performance.md`	SP-001 through SP-006
File Access	`standards/file-access.md`	FA-001 through FA-008
Token Consumption	`standards/token-consumption.md`	TC-001 through TC-006

Performance Targets

Metric	Target	Warning	Critical
Skill Prompt Size	<2000 tokens	2000-4000	>4000
Agent Prompt Size	<5000 tokens	5000-8000	>8000
Tier-1 Agent Count	<=15	16-20	>20
File Reads/Operation	<5	5-10	>10
Startup Files	<10	10-20	>20

Output

Returns JSON with:

efficiency_score: 0-100 (higher = better)
metrics: Collected performance measurements
bottlenecks: Identified performance issues
optimizations: Recommended improvements

Links

GitHub Stats

0 forks

Updated 4 hours ago

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