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agent-workflow-automation

Agent skill for workflow-automation - invoke with $agent-workflow-automation

Install with Tessl CLI

npx tessl i github:ruvnet/claude-flow --skill agent-workflow-automation
What are skills?

43

6.33x

Does it follow best practices?

Evaluation95%

6.33x

Agent success when using this skill

Validation for skill structure

SKILL.md
Review
Evals

Evaluation results

100%

95%

Intelligent CI/CD Pipeline for a New Microservice

Swarm-powered CI pipeline initialization

Criteria
Without context
With context

Swarm action used

0%

100%

Mesh topology

0%

100%

Max agents set

100%

100%

Coordinator agent spawned

0%

100%

Architect agent spawned

0%

100%

All seven agent types

0%

100%

Automation rules configured

0%

100%

Pull request trigger rule

0%

100%

Push-to-main trigger rule

0%

100%

Task orchestration with adaptive strategy

0%

100%

Task orchestration with high priority

0%

100%

Task dependencies array

0%

100%

swarm_init tool called

0%

100%

Without context: $0.4470 · 2m 25s · 14 turns · 67 in / 10,391 out tokens

With context: $0.7350 · 2m 39s · 24 turns · 280 in / 9,841 out tokens

100%

93%

CI Pipeline Performance Overhaul for E-Commerce Platform

Workflow performance bottleneck analysis and optimization

Criteria
Without context
With context

Performance report format

0%

100%

Performance report timeframe

0%

100%

Bottleneck component name

0%

100%

Bottleneck metrics: build_time

0%

100%

Bottleneck metrics: test_duration

0%

100%

Bottleneck metrics: deployment_latency

0%

100%

Bottleneck metrics: resource_utilization

0%

100%

Memory storage action

0%

100%

Memory value structure

0%

100%

Optimize suggest-parallelization flag

0%

100%

Optimize reduce-redundancy flag

0%

100%

Optimize estimate-savings flag

0%

100%

Analytics command period

0%

100%

Optimized workflow caching

100%

100%

Without context: $0.7454 · 3m 58s · 24 turns · 30 in / 15,053 out tokens

With context: $0.8500 · 3m 16s · 26 turns · 315 in / 12,520 out tokens

86%

53%

Automated PR Review and Nightly Security Scanning for a SaaS Platform

PR validation and adaptive security scanning

Criteria
Without context
With context

PR validate spawn-agents

0%

100%

PR validate parallel flag

0%

100%

gh pr comment used

100%

100%

Security deep-scan flag

0%

100%

Security format json flag

0%

100%

Issue created with security labels

100%

100%

gh run view for failure analysis

0%

100%

analyze-failure with suggest-fixes

0%

100%

analyze-failure with auto-retry-flaky

0%

100%

CI failure issue label

100%

100%

Smart test impact-analysis

0%

0%

Smart test parallel-safe

0%

0%

workflow_run trigger for failure handler

100%

100%

Without context: $0.6130 · 2m 45s · 29 turns · 34 in / 8,754 out tokens

With context: $0.5183 · 1m 42s · 22 turns · 25 in / 6,265 out tokens

Evaluated
Agent
Claude Code
Model
Unknown

Table of Contents

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