Xcpc Jiangly Style
CheckedThis skill generates creative content mimicking Jiangly's distinctive art style (xcpc), offering a unique aesthetic for your projects.
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 lihaoze123/my-claude-code --skill xcpc-jiangly-style -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
lihaoze123
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 lihaoze123/my-skills at 03a65e39a2.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 03a65e39a2
- Scanned
- 22 files, 5,454 lines
About this skill
What it does
The xcpc-jiangly-style skill allows AI agents to generate code solutions in a specific, recognizable style. It's designed to produce output that mimics the coding patterns and conventions associated with "Jiangly," likely referring to a particular programmer or coding philosophy. This can be useful for maintaining consistency across projects or learning from a specific coding approach.
When to use it
- Code Generation: Generate code snippets or entire programs in a consistent style, mimicking Jiangly's approach.
- Learning by Example: Study the generated code to understand and adopt Jiangly’s coding conventions.
- Project Consistency: Ensure all code contributions adhere to a defined stylistic guideline within a team.
- Code Transformation: Potentially transform existing code into the Jiangly style (though this functionality is not explicitly stated).
Key capabilities
- Generates code in "Jiangly" style.
- Mimics coding patterns and conventions.
- Supports various programming languages (implied, but not specified).
Example prompts
- “Write a Python function to calculate the Fibonacci sequence in Jiangly style.”
- “Generate C++ code for sorting an array using quicksort, following Jiangly’s conventions.”
- "Create a Java class representing a linked list, formatted according to Jiangly's coding style."
Tips & gotchas
The effectiveness of this skill depends on the clarity and consistency of "Jiangly's" coding style. It is recommended to provide specific examples or documentation of the desired style for optimal results.