Feature Implement
CheckedThis skill automatically implements specified features, streamlining development and accelerating project completion by automating code changes.
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 d-o-hub/rust-self-learning-memory --skill feature-implement -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
d-o-hub
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 d-o-hub/rust-self-learning-memory at da7210f59b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- da7210f59b
- Scanned
- 6 files, 294 lines
About this skill
What it does
The feature-implement skill allows an AI agent to implement new features into a Rust project. It can take high-level descriptions of desired functionality and translate them into working code, incorporating the feature into existing codebase. This includes generating necessary tests and documentation for the newly implemented features.
When to use it
- Adding Functionality: You need to add a specific feature (e.g., user authentication) to an existing Rust project.
- Prototyping New Ideas: Quickly test out new ideas by having the agent generate initial code implementations.
- Automating Boilerplate: Reduce repetitive coding tasks by letting the agent handle common feature implementation patterns.
- Code Generation from Specifications: Implement features directly from written specifications or design documents.
Key capabilities
- Rust code generation
- Test case creation
- Documentation generation
- Integration with existing codebase
Example prompts
- "Implement a function to calculate the factorial of a given number in Rust."
- "Add user authentication using email and password, including hashing and salting."
- "Generate tests for the 'calculate_average' function."
Tips & gotchas
The agent requires access to the project's codebase to properly integrate new features. Be as specific as possible in your prompts to ensure accurate implementation; vague requests may lead to unexpected results.