agent-performance-analyzer

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

Install with Tessl CLI

npx tessl i github:ruvnet/claude-flow --skill agent-performance-analyzer

What are skills?

1.00x

Review — 6%

Does it follow best practices?

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npx tessl skill review --optimize ./path/to/skill

Learn more

Evaluation — 99%

↑ 1.00x

Agent success when using this skill

Validation — 11 / 11 Passed

Validation for skill structure

SKILL.md

Review

Evals

Evaluation results

100%

Data Pipeline Performance Investigation

Performance report structure and KPI tracking

Criteria

Without context

With context

Executive Summary section

100%

Detailed Findings section

100%

Trend Analysis section

100%

P95 and P99 reported

100%

All five KPI categories present

100%

Bottleneck Impact field

75%

100%

Bottleneck Root Cause field

100%

Expected Improvement percentage

100%

Bottleneck Recommendation field

100%

Enrichment service identified

100%

Increasing trend noted

100%

kpi_summary.json produced

100%

Without context: $1.0074 · 4m 54s · 20 turns · 26 in / 22,031 out tokens

With context: $0.8463 · 4m 24s · 19 turns · 178 in / 17,708 out tokens

98%

-1%

Agent Coordination System Diagnosis

Bottleneck pattern classification and optimization strategies

Criteria

Without context

With context

Single Agent Overload identified

100%

Sequential Task Chain identified

100%

Communication Overhead identified

100%

Topology change recommended

90%

80%

Parallelization recommended

100%

Stream processing recommended

100%

Expected improvement percentages

100%

Root cause per bottleneck

100%

Impact/severity per bottleneck

100%

remediation_plan.json produced

100%

Batching recommended for messages

100%

Specialist agents underutilized

100%

Without context: $0.4590 · 3m 27s · 12 turns · 15 in / 10,504 out tokens

With context: $0.5921 · 2m 55s · 25 turns · 63 in / 8,794 out tokens

100%

CI/CD Pipeline Performance Planning

Three-phase analysis workflow and proactive optimization planning

Criteria

Without context

With context

Data collection phase documented

100%

Analysis phase documented

100%

Recommendation phase documented

100%

Baseline comparison made

100%

Cache hit rate degradation identified

100%

Sequential test execution identified

100%

Action plan with success metrics

100%

Expected improvement percentages

100%

Baseline metrics for monitoring

100%

Regression alerting recommended

100%

Gradual/staged implementation

100%

Resource contention trend noted

100%

Without context: $0.5156 · 3m 33s · 17 turns · 21 in / 10,296 out tokens

With context: $0.5556 · 8m 38s · 23 turns · 28 in / 7,387 out tokens

Evaluated: 3 days ago
Agent: Claude Code
Model: Unknown

Table of Contents

Data Pipeline Performance Investigation Agent Coordination System Diagnosis CI/CD Pipeline Performance Planning

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