Programming Assistant
ListedThis Programming Assistant generates code snippets and explanations, accelerating development and helping users learn new languages quickly.
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 richenlin/programming-assistant-skill --skill programming-assistant -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
richenlin
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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: mcp.context7.com, opencode.ai.
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.
Hosts contacted
opencode.aiundeclaredmcp.context7.comundeclaredgithub.comsource hostWhat it found
- install.sh:311contacts opencode.ai
"$schema": "https://opencode.ai/config.json", - install.sh:352contacts mcp.context7.com
"url": "https://mcp.context7.com/mcp" - install.sh:758contacts mcp.context7.com
- context7: 文档搜索 (https://mcp.context7.com)
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 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 richenlin/programming-assistant-skill at 98a9569eaa.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 98a9569eaa
- Manifest
- SKILL.md
- Scanned
- 15 files, 3,340 lines
About this skill
What it does
The Programming Assistant skill helps users write, debug, and understand code in various programming languages. It can generate code snippets based on natural language descriptions, explain existing code blocks, and identify potential errors within a given codebase. This skill aims to streamline the coding process for both novice and experienced programmers.
When to use it
- Generating boilerplate code: Quickly create initial project structures or function templates in languages like Python or JavaScript.
- Debugging existing code: Get assistance identifying and fixing errors in your programs by providing code snippets for analysis.
- Understanding unfamiliar code: Ask the assistant to explain what a specific block of code does, making it easier to learn from others' work.
- Translating between languages: Convert code from one programming language (e.g., Python) to another (e.g., JavaScript).
Key capabilities
- Code generation
- Code explanation
- Debugging assistance
- Language translation
Example prompts
- "Write a Python function that calculates the factorial of a number."
- "Explain what this Javascript code does:
function foo() { ... }" - "I'm getting an error in my Java program. Can you help me debug it?"
Tips & gotchas
The quality of the generated or analyzed code depends heavily on the clarity and specificity of your prompts. Providing context, such as the programming language and desired functionality, will yield better results.