Frontend Requirements
CheckedAnalyzes user stories & designs to extract detailed frontend component specifications and acceptance criteria.
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 gemini960114/skills --skill frontend-requirements -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
gemini960114
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 gemini960114/skills at d78152f385.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- d78152f385
- Scanned
- 1 file, 129 lines
About this skill
What it does
This skill helps AI agents understand and process frontend development requirements. It can analyze textual descriptions of desired user interfaces, extract key features, and potentially translate those into actionable tasks or code snippets. The tool aims to bridge the gap between high-level design concepts and concrete implementation steps for front-end developers.
When to use it
- Requirement Gathering: When a project stakeholder provides a written description of a website or application feature.
- Design Specification Analysis: To parse through lengthy design documents and extract specific UI requirements.
- Task Breakdown: To decompose complex frontend tasks into smaller, more manageable sub-tasks based on requirement descriptions.
- Initial Code Generation (Potential): As a starting point for generating basic HTML/CSS structures from textual specifications.
Key capabilities
- Requirement Parsing
- Feature Extraction
- UI Element Identification
- Task Decomposition (potential)
- Code Snippet Generation (potential)
Example prompts
- "Analyze this description: 'A user should be able to filter products by price and category.'"
- "Extract the key UI elements from this document about a new e-commerce page."
- "Based on these requirements, what are the first three steps needed for development?"
Tips & gotchas
The effectiveness of this skill depends heavily on the clarity and detail provided in the input requirement descriptions. Vague or ambiguous language may lead to inaccurate analysis.