Agent skill

Cloud Cost Optimization

Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.

MITAuto-check passedDevOps & Cloud

Install Cloud Cost Optimization

skills CLI

$ npx skills add wshobson/agents --skill cost-optimization -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install wshobson/agents cost-optimization --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/cloud-infrastructure/skills/cost-optimization .claude/skills/cost-optimization && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "cost-optimization" agent skill from https://github.com/wshobson/agents/tree/main/plugins/cloud-infrastructure/skills/cost-optimization into .claude/skills/cost-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-optimization", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/wshobson/agents/tree/main/plugins/cloud-infrastructure/skills/cost-optimization

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add wshobson/agents --skill cost-optimization -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install wshobson/agents cost-optimization --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/cloud-infrastructure/skills/cost-optimization .agents/skills/cost-optimization && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "cost-optimization" agent skill from https://github.com/wshobson/agents/tree/main/plugins/cloud-infrastructure/skills/cost-optimization into .agents/skills/cost-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-optimization", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wshobson/agents --skill cost-optimization -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install wshobson/agents cost-optimization --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/cloud-infrastructure/skills/cost-optimization .cursor/skills/cost-optimization && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "cost-optimization" agent skill from https://github.com/wshobson/agents/tree/main/plugins/cloud-infrastructure/skills/cost-optimization into .cursor/skills/cost-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-optimization", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/wshobson/agents.git --path plugins/cloud-infrastructure/skills/cost-optimization

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add wshobson/agents --skill cost-optimization -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install wshobson/agents cost-optimization --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/cloud-infrastructure/skills/cost-optimization .gemini/skills/cost-optimization && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "cost-optimization" agent skill from https://github.com/wshobson/agents/tree/main/plugins/cloud-infrastructure/skills/cost-optimization into .gemini/skills/cost-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-optimization", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install wshobson/agents cost-optimization

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add wshobson/agents --skill cost-optimization -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/cloud-infrastructure/skills/cost-optimization .github/skills/cost-optimization && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "cost-optimization" agent skill from https://github.com/wshobson/agents/tree/main/plugins/cloud-infrastructure/skills/cost-optimization into .github/skills/cost-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-optimization", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wshobson/agents --skill cost-optimization -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install wshobson/agents cost-optimization --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wshobson/agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/cloud-infrastructure/skills/cost-optimization .opencode/skills/cost-optimization && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "cost-optimization" agent skill from https://github.com/wshobson/agents/tree/main/plugins/cloud-infrastructure/skills/cost-optimization into .opencode/skills/cost-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-optimization", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: cost-optimization
GitHub stars: 40k
Used in: 13 other repos
Token cost: ~1.7k tokens
SKILL.md length: 452 words
Files: 2 (incl. references)
Skills in repo: 142
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes.

Works in 4 steps: Visibility → Right-Sizing → Pricing Models → …
Reducing the monthly bill for AWS, Azure, GCP or OCI workloads
SKILL.md covers Purpose, When to Use, Cost Optimization Framework and AWS Cost Optimization, plus 5 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The skill organizes cost work into four areas: visibility through allocation tags, budget alerts and dashboards; right-sizing based on utilization, with auto-scaling and idle-resource cleanup; pricing models such as reserved capacity, spot or preemptible instances, savings plans and committed use discounts; and architecture changes like managed services, caching, data transfer tuning and lifecycle policies.

Provider sections cover AWS reserved instances, savings plans, spot instances and S3 lifecycle rules, Azure reserved VMs, Hybrid Benefit and Advisor recommendations, GCP committed and sustained use discounts and preemptible VMs, and OCI flexible shapes. A reference file sets out tagging standards. The excerpt is cut off in the OCI section.

When your agent uses it

Reducing the monthly bill for AWS, Azure, GCP or OCI workloads
Right-sizing over-provisioned or idle cloud resources
Choosing between reserved capacity, savings plans and spot instances
Defining cost allocation tags and budget alerts

Example prompts

“Review our AWS setup and list the quickest cost savings from rightsizing and idle resources.”
“Compare reserved instances and savings plans for our steady EC2 workloads.”
“Draft a tagging standard for cost allocation across our Azure subscriptions.”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Visibility
Right-Sizing
Pricing Models
Architecture Optimization

What it can do on your machine

Read from SKILL.md and the folder at commit 46891e7. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are hcl).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cloud Cost Optimization loads about 1.7k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 452 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~68
When it runs · the whole SKILL.md, loaded when a task matches: ~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wshobson/agents at commit 46891e7, republished under its MIT licence (© wshobson). 452 words, ~1,711 tokens.

Download SKILL.mdSave it as .claude/skills/cost-optimization/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: cost-optimization
description: Optimize cloud costs across AWS, Azure, GCP, and OCI through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.

Cloud Cost Optimization

Strategies and patterns for optimizing cloud costs across AWS, Azure, GCP, and OCI.

Purpose

Implement systematic cost optimization strategies to reduce cloud spending while maintaining performance and reliability.

When to Use

Reduce cloud spending
Right-size resources
Implement cost governance
Optimize multi-cloud costs
Meet budget constraints

Cost Optimization Framework

1. Visibility

Implement cost allocation tags
Use cloud cost management tools
Set up budget alerts
Create cost dashboards

2. Right-Sizing

Analyze resource utilization
Downsize over-provisioned resources
Use auto-scaling
Remove idle resources

3. Pricing Models

Use reserved capacity
Leverage spot/preemptible instances
Implement savings plans
Use committed use discounts

4. Architecture Optimization

Use managed services
Implement caching
Optimize data transfer
Use lifecycle policies

AWS Cost Optimization

Reserved Instances

Savings: 30-72% vs On-Demand
Term: 1 or 3 years
Payment: All/Partial/No upfront
Flexibility: Standard or Convertible

Savings Plans

Compute Savings Plans: 66% savings
EC2 Instance Savings Plans: 72% savings
Applies to: EC2, Fargate, Lambda
Flexible across: Instance families, regions, OS

Spot Instances

Savings: Up to 90% vs On-Demand
Best for: Batch jobs, CI/CD, stateless workloads
Risk: 2-minute interruption notice
Strategy: Mix with On-Demand for resilience

S3 Cost Optimization

hcl

resource "aws_s3_bucket_lifecycle_configuration" "example" {
  bucket = aws_s3_bucket.example.id

  rule {
    id     = "transition-to-ia"
    status = "Enabled"

    transition {
      days          = 30
      storage_class = "STANDARD_IA"
    }

    transition {
      days          = 90
      storage_class = "GLACIER"
    }

    expiration {
      days = 365
    }
  }
}

Azure Cost Optimization

Reserved VM Instances

1 or 3 year terms
Up to 72% savings
Flexible sizing
Exchangeable

Azure Hybrid Benefit

Use existing Windows Server licenses
Up to 80% savings with RI
Available for Windows and SQL Server

Azure Advisor Recommendations

Right-size VMs
Delete unused resources
Use reserved capacity
Optimize storage

GCP Cost Optimization

Committed Use Discounts

1 or 3 year commitment
Up to 57% savings
Applies to vCPUs and memory
Resource-based or spend-based

Sustained Use Discounts

Automatic discounts
Up to 30% for running instances
No commitment required
Applies to Compute Engine, GKE

Preemptible VMs

Up to 80% savings
24-hour maximum runtime
Best for batch workloads

OCI Cost Optimization

Flexible Shapes

Scale OCPUs and memory independently
Match instance sizing to workload demand
Reduce wasted capacity from fixed VM shapes

Commitments and Budgets

Use annual commitments for predictable spend
Set compartment-level budgets with alerts
Track monthly forecasts with OCI Cost Analysis

Show full SKILL.md (178 more words)Show less

Preemptible Capacity

Use preemptible instances for batch and ephemeral workloads
Keep interruption-tolerant autoscaling groups
Mix with standard capacity for critical services

Tagging Strategy

AWS Tagging

hcl

locals {
  common_tags = {
    Environment = "production"
    Project     = "my-project"
    CostCenter  = "engineering"
    Owner       = "team@example.com"
    ManagedBy   = "terraform"
  }
}

resource "aws_instance" "example" {
  ami           = "ami-12345678"
  instance_type = "t3.medium"

  tags = merge(
    local.common_tags,
    {
      Name = "web-server"
    }
  )
}

Reference: See references/tagging-standards.md

Cost Monitoring

Budget Alerts

hcl

# AWS Budget
resource "aws_budgets_budget" "monthly" {
  name              = "monthly-budget"
  budget_type       = "COST"
  limit_amount      = "1000"
  limit_unit        = "USD"
  time_period_start = "2024-01-01_00:00"
  time_unit         = "MONTHLY"

  notification {
    comparison_operator        = "GREATER_THAN"
    threshold                  = 80
    threshold_type            = "PERCENTAGE"
    notification_type         = "ACTUAL"
    subscriber_email_addresses = ["team@example.com"]
  }
}

Cost Anomaly Detection

AWS Cost Anomaly Detection
Azure Cost Management alerts
GCP Budget alerts
OCI Budgets and Cost Analysis

Architecture Patterns

Pattern 1: Serverless First

Use Lambda/Functions for event-driven
Pay only for execution time
Auto-scaling included
No idle costs

Pattern 2: Right-Sized Databases

Development: t3.small RDS
Staging: t3.large RDS
Production: r6g.2xlarge RDS with read replicas

Pattern 3: Multi-Tier Storage

Hot data: S3 Standard
Warm data: S3 Standard-IA (30 days)
Cold data: S3 Glacier (90 days)
Archive: S3 Deep Archive (365 days)

Pattern 4: Auto-Scaling

hcl

resource "aws_autoscaling_policy" "scale_up" {
  name                   = "scale-up"
  scaling_adjustment     = 2
  adjustment_type        = "ChangeInCapacity"
  cooldown              = 300
  autoscaling_group_name = aws_autoscaling_group.main.name
}

resource "aws_cloudwatch_metric_alarm" "cpu_high" {
  alarm_name          = "cpu-high"
  comparison_operator = "GreaterThanThreshold"
  evaluation_periods  = "2"
  metric_name         = "CPUUtilization"
  namespace           = "AWS/EC2"
  period              = "60"
  statistic           = "Average"
  threshold           = "80"
  alarm_actions       = [aws_autoscaling_policy.scale_up.arn]
}

Cost Optimization Checklist

Implement cost allocation tags
Delete unused resources (EBS, EIPs, snapshots)
Right-size instances based on utilization
Use reserved capacity for steady workloads
Implement auto-scaling
Optimize storage classes
Use lifecycle policies
Enable cost anomaly detection
Set budget alerts
Review costs weekly
Use spot/preemptible instances
Optimize data transfer costs
Implement caching layers
Use managed services
Monitor and optimize continuously

Tools

AWS: Cost Explorer, Cost Anomaly Detection, Compute Optimizer
Azure: Cost Management, Advisor
GCP: Cost Management, Recommender
OCI: Cost Analysis, Budgets, Cloud Advisor
Multi-cloud: CloudHealth, Cloudability, Kubecost

terraform-module-library - For resource provisioning
multi-cloud-architecture - For cloud selection

Files

SKILL.md and 1 other file (references) in plugins/cloud-infrastructure/skills/cost-optimization of wshobson/agents.

SKILL.md
references/tagging-standards.md

Open the folder on GitHubat commit 46891e7

Used in 13 other repositories

We found 34 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 13 other GitHub owners. This page covers the copy in wshobson/agents, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Cloud Cost Optimization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cloud Cost Optimization compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Cloud Cost Optimization this skillwshobson/agents	40k	13 repos	~1.7k	Automated safety check: Pass	MIT	2 days ago
Cloud Architectdavila7/claude-code-templates	32k	7 repos	~1.9k	Automated safety check: Pass	MIT	today
Cloud ArchitectJeffallan/claude-skills	12k	—	~1.9k	Automated safety check: Pass	MIT	4 days ago
Senior Cloud Architectborghei/Claude-Skills	874	—	~1.4k	Automated safety check: Pass	MIT	today
Infrastructure Devops Cloud Architectchendongqi/OPB-Skills	125	—	~1.1k	Automated safety check: Pass	None	7 mo ago
Spotinfoalexei-led/spotinfo	164	—	~1.8k	Automated safety check: Pass	Apache-2.0	2 days ago

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Questions about Cloud Cost Optimization

What does Cloud Cost Optimization do?

Cuts cloud spend across AWS, Azure, GCP and OCI with cost tagging, rightsizing, commitment and spot pricing models, and architecture changes. The skill organizes cost work into four areas: visibility through allocation tags, budget alerts and dashboards; right-sizing based on utilization, with auto-scaling and idle-resource cleanup; pricing models such as reserved capacity, spot or preemptible instances, savings plans and committed use discounts; and architecture changes like managed services, caching, data transfer tuning and lifecycle policies.

When should I use Cloud Cost Optimization?

Cloud Cost Optimization fits situations like: reducing the monthly bill for AWS, Azure, GCP or OCI workloads; right-sizing over-provisioned or idle cloud resources; choosing between reserved capacity, savings plans and spot instances; defining cost allocation tags and budget alerts.

How do I install Cloud Cost Optimization in Claude Code?

Run `npx skills add wshobson/agents --skill cost-optimization -a claude-code`. Or copy the skill folder (plugins/cloud-infrastructure/skills/cost-optimization in wshobson/agents) into .claude/skills/cost-optimization in your project. Claude Code loads it when a task matches its description.

How do I install Cloud Cost Optimization in Codex?

Run `npx skills add wshobson/agents --skill cost-optimization -a codex`. Or copy the skill folder (plugins/cloud-infrastructure/skills/cost-optimization in wshobson/agents) into .agents/skills/cost-optimization in your project. Codex loads it when a task matches its description.

Can I use Cloud Cost Optimization in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wshobson/agents --skill cost-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cost-optimization, .gemini/skills/cost-optimization, .github/skills/cost-optimization and .opencode/skills/cost-optimization in your project.

What does Cloud Cost Optimization need to run?

SKILL.md names no scripts, command-line tools or credentials: Cloud Cost Optimization is instructions for the agent only.

Does Cloud Cost Optimization access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cloud Cost Optimization safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cloud Cost Optimization use?

Cloud Cost Optimization is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cloud Cost Optimization use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 208 tokens, read only when the agent opens those files.

What are the alternatives to Cloud Cost Optimization?

Skills that share tags, products or a category with Cloud Cost Optimization: Cloud Architect (davila7/claude-code-templates, 32k stars), Cloud Architect (Jeffallan/claude-skills, 12k stars), Senior Cloud Architect (borghei/Claude-Skills, 874 stars) and Infrastructure Devops Cloud Architect (chendongqi/OPB-Skills, 125 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cloud Cost Optimization?

wshobson (a GitHub user) maintains it in wshobson/agents, which has 40,254 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on October 5, 2026.

Source: wshobson/agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Cloud Cost Optimization

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Cloud Cost Optimization

Purpose

When to Use

Cost Optimization Framework

1. Visibility

2. Right-Sizing

3. Pricing Models

4. Architecture Optimization

AWS Cost Optimization

Reserved Instances

Savings Plans

Spot Instances

S3 Cost Optimization

Azure Cost Optimization

Reserved VM Instances

Azure Hybrid Benefit

Azure Advisor Recommendations

GCP Cost Optimization

Committed Use Discounts

Sustained Use Discounts

Preemptible VMs

OCI Cost Optimization

Flexible Shapes

Commitments and Budgets

Preemptible Capacity

Tagging Strategy

AWS Tagging

Cost Monitoring

Budget Alerts

Cost Anomaly Detection

Architecture Patterns

Pattern 1: Serverless First

Pattern 2: Right-Sized Databases

Pattern 3: Multi-Tier Storage

Pattern 4: Auto-Scaling

Cost Optimization Checklist

Tools

Related Skills

Files

Used in 13 other repositories

Compare with similar skills

Similar skills

More from wshobson/agents

Related

Questions about Cloud Cost Optimization