Research Engineer
CheckedThis Research Engineer skill helps you quickly gather and synthesize information from various sources, boosting your frontend development efficiency.
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 davila7/claude-code-templates --skill research-engineer -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
davila7
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 davila7/claude-code-templates at 79182c51fb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 79182c51fb
- Scanned
- 1 file, 134 lines
About this skill
The research-engineer skill acts as a specialized frontend development assistant designed to streamline the creation of modern web interfaces. It leverages AI agents to generate clean, responsive code and assist with debugging complex layout issues efficiently.
When to use it
- Rapidly prototyping new landing pages or marketing sites without extensive manual coding.
- Refactoring legacy frontend codebases into modern frameworks like React or Vue.
- Debugging persistent CSS flexbox or grid alignment issues that are difficult to isolate manually.
- Generating boilerplate structures for dashboards or data-heavy admin panels.
Key capabilities
- Generates responsive HTML, CSS, and JavaScript components on demand.
- Provides intelligent debugging assistance specifically for frontend rendering errors.
- Adapts code output to match specific design system requirements or framework conventions.
Example prompts
- "Create a responsive navigation bar with a mobile hamburger menu using Tailwind CSS."
- "Debug why my flex container is not centering the child elements vertically across browsers."
- "Generate a reusable card component for displaying product details in an e-commerce grid."
Tips & gotchas
Ensure your AI agent has access to the necessary framework documentation or style guides to generate code that aligns with your project's existing architecture. For best results, provide specific context about your current tech stack when requesting complex components.