Provider Bug Review
mondoohq/mql
Deep static code review of an mql provider for logic errors, nil-handling bugs, pagination truncation, caching/id collisions, and other defects that silently give users wrong data.
Agent skill
Configuring Auto Scaling Policies
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Configure use when you need to work with auto-scaling. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Install Configuring Auto Scaling Policies
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-auto-scaling-policies -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace configuring-auto-scaling-policies --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/configuring-auto-scaling-policies .claude/skills/configuring-auto-scaling-policies && rm -rf skills-srcUse ~/.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/
Install the "configuring-auto-scaling-policies" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/configuring-auto-scaling-policies into .claude/skills/configuring-auto-scaling-policies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-auto-scaling-policies", 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 install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/configuring-auto-scaling-policiesType 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.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-auto-scaling-policies -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace configuring-auto-scaling-policies --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/configuring-auto-scaling-policies .agents/skills/configuring-auto-scaling-policies && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "configuring-auto-scaling-policies" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/configuring-auto-scaling-policies into .agents/skills/configuring-auto-scaling-policies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-auto-scaling-policies", 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.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-auto-scaling-policies -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace configuring-auto-scaling-policies --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/configuring-auto-scaling-policies .cursor/skills/configuring-auto-scaling-policies && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "configuring-auto-scaling-policies" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/configuring-auto-scaling-policies into .cursor/skills/configuring-auto-scaling-policies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-auto-scaling-policies", 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 https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/configuring-auto-scaling-policies--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-auto-scaling-policies -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace configuring-auto-scaling-policies --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/configuring-auto-scaling-policies .gemini/skills/configuring-auto-scaling-policies && rm -rf skills-srcUse ~/.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/
Install the "configuring-auto-scaling-policies" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/configuring-auto-scaling-policies into .gemini/skills/configuring-auto-scaling-policies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-auto-scaling-policies", 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.
$ gh skill install jeremylongshore/tons-of-skills-marketplace configuring-auto-scaling-policiesInstalls 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).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-auto-scaling-policies -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/configuring-auto-scaling-policies .github/skills/configuring-auto-scaling-policies && rm -rf skills-srcUse ~/.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/
Install the "configuring-auto-scaling-policies" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/configuring-auto-scaling-policies into .github/skills/configuring-auto-scaling-policies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-auto-scaling-policies", 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.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-auto-scaling-policies -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace configuring-auto-scaling-policies --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/configuring-auto-scaling-policies .opencode/skills/configuring-auto-scaling-policies && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "configuring-auto-scaling-policies" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/configuring-auto-scaling-policies into .opencode/skills/configuring-auto-scaling-policies/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configuring-auto-scaling-policies", 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
configuring-auto-scaling-policies- GitHub stars
- 2.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 451 words
- Files
- 8 (incl. scripts, references, assets)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Configure use when you need to work with auto-scaling. An agent skill from jeremylongshore/tons-of-skills-marketplace.
- Works in 9 steps: Identify the scaling target: EC2 Auto… → Analyze current workload metrics to… → Define scaling boundaries: minimum… → …
- You need to work with auto-scaling
- SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
- Runs Python scripts from its folder; calls kubectl
What it does
Configuring Auto Scaling Policies is an agent skill from jeremylongshore/tons-of-skills-marketplace. Configure use when you need to work with auto-scaling. This skill provides auto-scaling configuration with comprehensive guidance and automation. Trigger with phrases like "configure auto-scaling", "set up elastic scaling", or "implement scaling".
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/README.md`, `assets/config_template.yaml` and `assets/example_aws_scaling_policy.json`). Compatibility notes: Designed for Claude Code
It sits in DevOps & Cloud. It works with Kubernetes, Google Cloud, Amazon Web Services and Microsoft Azure. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- You need to work with auto-scaling
- With phrases like configure auto-scaling
- Set up elastic scaling
- Implement scaling
Example prompts
- “configure auto-scaling”
- “set up elastic scaling”
- “implement scaling”
- “/configuring-auto-scaling-policies”
Requirements
- Python 3
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(cmd:*)
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Identify the scaling target: EC2 Auto Scaling Group, GCP MIG, Azure VMSS, or Kubernetes Deployment
- Analyze current workload metrics to establish baseline utilization and peak patterns
- Define scaling boundaries: minimum instances/pods, maximum instances/pods, desired count
- Select scaling metric(s): CPU utilization, memory, request count, queue depth, or custom metrics
- Set target thresholds: scale-out trigger (e.g., CPU > 70%), scale-in trigger (e.g., CPU < 30%)
- Configure cooldown periods to prevent flapping (typically 300s scale-out, 600s scale-in)
- Add scale-in protection for stateful workloads or leader nodes if needed
- Generate the scaling policy configuration in the appropriate format (Terraform, YAML, or CLI commands)
- Validate by simulating load and confirming scaling events fire correctly
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGrepGlobBash(cmd:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
kubectl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.aws.amazon.comkubernetes.iocloud.google.comlearn.microsoft.com
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.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Configuring Auto Scaling Policies loads about 1.1k tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 451 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 451 words, ~1,054 tokens.
Download SKILL.mdSave it as
.claude/skills/configuring-auto-scaling-policies/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- configuring-auto-scaling-policies
- description
- Configure use when you need to work with auto-scaling. This skill provides auto-scaling configuration with comprehensive guidance and automation. Trigger with phrases like "configure auto-scaling", "set up elastic scaling", or "implement scaling".
- allowed-tools
- Read, Write, Edit, Grep, Glob, Bash(cmd:*)
- compatibility
- Designed for Claude Code
- version
- 1.25.0
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- tags
- devops, scaling, auto-scaling
Configuring Auto-Scaling Policies
Overview
Configure auto-scaling policies for cloud workloads across AWS Auto Scaling Groups, GCP Managed Instance Groups, Azure VMSS, and Kubernetes Horizontal Pod Autoscaler (HPA). Generate scaling configurations based on CPU, memory, request rate, or custom metrics with appropriate thresholds, cooldown periods, and scale-in protection.
Prerequisites
- Cloud provider CLI installed and authenticated (
aws,gcloud, oraz) - For Kubernetes HPA:
kubectlconfigured with cluster access and metrics-server deployed - Baseline performance data for the target workload (average CPU, memory, request rate)
- Understanding of traffic patterns (steady, bursty, scheduled)
- IAM permissions to create/modify scaling policies and CloudWatch/Stackdriver alarms
Instructions
- Identify the scaling target: EC2 Auto Scaling Group, GCP MIG, Azure VMSS, or Kubernetes Deployment
- Analyze current workload metrics to establish baseline utilization and peak patterns
- Define scaling boundaries: minimum instances/pods, maximum instances/pods, desired count
- Select scaling metric(s): CPU utilization, memory, request count, queue depth, or custom metrics
- Set target thresholds: scale-out trigger (e.g., CPU > 70%), scale-in trigger (e.g., CPU < 30%)
- Configure cooldown periods to prevent flapping (typically 300s scale-out, 600s scale-in)
- Add scale-in protection for stateful workloads or leader nodes if needed
- Generate the scaling policy configuration in the appropriate format (Terraform, YAML, or CLI commands)
- Validate by simulating load and confirming scaling events fire correctly
Output
- Terraform HCL for AWS ASG scaling policies with CloudWatch alarms
- Kubernetes HPA manifests (YAML) with resource or custom metric targets
- GCP autoscaler configurations for Managed Instance Groups
- Scaling policy JSON/YAML for Azure VMSS
- CloudWatch or Stackdriver alarm definitions tied to scaling actions
Show full SKILL.md (194 more words)Show less
Error Handling
| Error | Cause | Solution |
|---|---|---|
No scaling activity despite high load | Metric not reaching threshold or cooldown active | Verify metric source in CloudWatch/Stackdriver; check cooldown timer with describe-scaling-activities |
Scaling too aggressively (flapping) | Cooldown too short or threshold too sensitive | Increase cooldown period and widen the gap between scale-out and scale-in thresholds |
Max capacity reached | Instance/pod limit hit during traffic spike | Raise max_size or implement request queuing as a backpressure mechanism |
HPA unable to compute replica count | Metrics server not deployed or metric unavailable | Install metrics-server and verify kubectl top pods returns data |
FailedScaleUp: insufficient capacity | Cloud provider out of capacity in selected AZ/region | Add multiple AZs to the ASG or use mixed instance types with allocation strategy |
Examples
- "Configure an AWS ASG with target tracking at 65% CPU, min 2 / max 20 instances, and 5-minute cooldown."
- "Create a Kubernetes HPA for a deployment that scales from 3 to 50 pods based on requests-per-second using a custom Prometheus metric."
- "Set up scheduled scaling for a GCP MIG: scale to 10 instances at 8am UTC and back to 2 at 10pm."
Resources
- AWS Auto Scaling: https://docs.aws.amazon.com/autoscaling/ec2/userguide/
- Kubernetes HPA: https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/
- GCP Autoscaler: https://cloud.google.com/compute/docs/autoscaler
- Azure VMSS Autoscale: https://learn.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-autoscale-overview
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 7 other files (scripts, references, assets) in skills/.curated/configuring-auto-scaling-policies of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- assets/README.md
- assets/config_template.yaml
- assets/example_aws_scaling_policy.json
- assets/example_hpa.yaml
- references/README.md
- scripts/README.md
- scripts/generate_config.py
Open the folder on GitHubat commit cfae287
Compare with similar skills
Configuring Auto Scaling Policies 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Configuring Auto Scaling Policies this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Provider Bug Reviewmondoohq/mql | 412 | — | ~2.9k | Automated safety check: Pass | Custom licence | |
| Kcli Cluster Deploymentkarmab/kcli | 653 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Extend Discovery Typerunwhen-contrib/runwhen-local | 163 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Kclikarmab/kcli | 653 | — | ~2.6k | Automated safety check: Warn | Apache-2.0 | |
| Multi Cloud ArchitectureHermeticOrmus/LibreUIUX-Claude-Code | 112 | 11 repos | ~1.2k | Automated safety check: Pass | MIT |
Similar skills
Kcli Cluster Deployment
karmab/kcli
Guides deployment and management of Kubernetes clusters with kcli.
Extend Discovery Type
runwhen-contrib/runwhen-local
Add or enrich a resource type in an existing RunWhen Local discovery indexer (Azure azureapi, GCP gcpapi, AWS, or Kubernetes).
Kcli
karmab/kcli
Comprehensive guide for kcli usage. An agent skill from karmab/kcli.
Multi Cloud Architecture
HermeticOrmus/LibreUIUX-Claude-Code
Design multi-cloud architectures using a decision framework to select and integrate services across AWS, Azure, and GCP.
Kcli Configuration
karmab/kcli
Guides kcli configuration and provider setup. An agent skill from karmab/kcli.
More from jeremylongshore/tons-of-skills-marketplace
All 3,342 skills in this repoPerforming Security Code Review
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
Adapting Transfer Learning Models
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
Agent Context Loader
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
Aggregating Performance Metrics
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
Analyzing Capacity Planning
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
Analyzing Database Indexes
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Related
Categories
Questions about Configuring Auto Scaling Policies
What does Configuring Auto Scaling Policies do?
Configure use when you need to work with auto-scaling. An agent skill from jeremylongshore/tons-of-skills-marketplace. Configuring Auto Scaling Policies is an agent skill from jeremylongshore/tons-of-skills-marketplace. Configure use when you need to work with auto-scaling.
When should I use Configuring Auto Scaling Policies?
Configuring Auto Scaling Policies fits situations like: you need to work with auto-scaling; with phrases like configure auto-scaling; set up elastic scaling; implement scaling.
How do I install Configuring Auto Scaling Policies in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-auto-scaling-policies -a claude-code`. Or copy the skill folder (skills/.curated/configuring-auto-scaling-policies in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/configuring-auto-scaling-policies in your project. Claude Code loads it when a task matches its description.
How do I install Configuring Auto Scaling Policies in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill configuring-auto-scaling-policies -a codex`. Or copy the skill folder (skills/.curated/configuring-auto-scaling-policies in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/configuring-auto-scaling-policies in your project. Codex loads it when a task matches its description.
Can I use Configuring Auto Scaling Policies 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 jeremylongshore/tons-of-skills-marketplace --skill configuring-auto-scaling-policies -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/configuring-auto-scaling-policies, .gemini/skills/configuring-auto-scaling-policies, .github/skills/configuring-auto-scaling-policies and .opencode/skills/configuring-auto-scaling-policies in your project.
What does Configuring Auto Scaling Policies need to run?
Going by SKILL.md and its folder, Configuring Auto Scaling Policies needs Python for the scripts in its folder and the command-line tools its instructions call (kubectl). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*). Compatibility (from SKILL.md): Designed for Claude Code.
Does Configuring Auto Scaling Policies access the network?
SKILL.md names 4 domains. As links in the text: docs.aws.amazon.com, kubernetes.io, cloud.google.com and learn.microsoft.com. This is read from the text; nothing was executed.
Is Configuring Auto Scaling Policies 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Configuring Auto Scaling Policies use?
Configuring Auto Scaling Policies is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Configuring Auto Scaling Policies use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 17 tokens, read only when the agent opens those files.
What are the alternatives to Configuring Auto Scaling Policies?
Skills that share tags, products or a category with Configuring Auto Scaling Policies: Provider Bug Review (mondoohq/mql, 412 stars), Kcli Cluster Deployment (karmab/kcli, 653 stars), Extend Discovery Type (runwhen-contrib/runwhen-local, 163 stars) and Kcli (karmab/kcli, 653 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Configuring Auto Scaling Policies?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.