Skillx
CheckedSkillx dynamically adjusts prompt parameters for optimal LLM performance, boosting response quality and efficiency across various tasks.
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 nextlevelbuilder/skillx --skill skillx -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
nextlevelbuilder
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 nextlevelbuilder/skillx at 23429d24a7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 23429d24a7
- Manifest
- .claude/skills/skillx/SKILL.md
- Scanned
- 2 files, 44 lines
About this skill
What it does
This skill allows AI agents to perform complex calculations and generate detailed reports based on numerical data. It can process large datasets, identify trends, and produce visualizations like charts and graphs for improved analysis. The agent can also provide explanations of the calculations performed and insights derived from the data.
When to use it
- Analyzing sales figures to determine peak seasons and optimize inventory.
- Generating financial reports with detailed breakdowns of income and expenses.
- Creating performance dashboards displaying key metrics for a team or project.
- Calculating complex loan amortization schedules, including interest payments and principal balance.
Key capabilities
- Numerical calculations
- Data analysis
- Report generation
- Visualization (charts & graphs)
- Explanatory insights
Example prompts
- "Analyze this sales data and generate a report highlighting monthly trends."
- "Calculate the loan amortization schedule for a $200,000 mortgage at 3% interest over 30 years."
- "Create a chart showing the correlation between marketing spend and website traffic."
Tips & gotchas
The skill requires numerical data to be provided in a structured format (e.g., CSV, JSON). Ensure your data is clean and accurate for optimal results.