Scalable Thinking
CheckedScalable Thinking helps you break down complex problems into manageable steps, boosting efficiency and strategic planning for growth.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add nguyenthienthanh/aura-frog --skill scalable-thinking -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
nguyenthienthanh
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned nguyenthienthanh/aura-frog at e58029838d.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e58029838d
- Scanned
- 1 file, 80 lines
About this skill
What it does
The scalable-thinking skill allows AI agents to process and reason about information at a larger scale than typical language models. It enables handling complex tasks involving extensive data or intricate relationships, breaking them down into manageable steps for efficient analysis and response generation. This results in more comprehensive and nuanced outputs compared to standard approaches.
When to use it
- Analyzing large datasets like customer reviews or scientific papers to identify trends.
- Developing detailed plans with many dependencies, such as project roadmaps or travel itineraries.
- Generating complex narratives or reports that require synthesizing information from multiple sources.
- Troubleshooting intricate technical issues by systematically evaluating various factors and potential causes.
Key capabilities
- Large-scale data processing
- Complex reasoning
- Step-by-step analysis
- Nuanced output generation
Example prompts
- "Analyze these 10,000 customer reviews and summarize the top 5 recurring complaints."
- "Create a detailed project plan for launching a new product, including all tasks, dependencies, and estimated timelines."
- "Explain the causes of climate change, breaking down the science into understandable steps."
Tips & gotchas
The agent may require significant computational resources to effectively utilize this skill. Ensure sufficient memory and processing power are available for optimal performance when dealing with very large inputs.