Technical Specification
CheckedGenerates detailed technical specifications from user input, streamlining documentation and ensuring clarity for projects & teams.
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 aj-geddes/useful-ai-prompts --skill technical-specification -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
aj-geddes
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 aj-geddes/useful-ai-prompts at 3f5182cfd7.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3f5182cfd7
- Scanned
- 9 files, 426 lines
About this skill
What it does
This skill transforms raw input data into structured, professional technical specifications. It organizes unstructured information into clear sections like requirements, constraints, and acceptance criteria to ensure precise documentation for development teams.
When to use it
- You have a rough idea or brainstorming notes for a feature and need a formal spec document.
- You are defining API endpoints or database schemas and require strict adherence to data types and formats.
- Your team needs a standardized template to review before starting implementation work.
- You want to convert user stories into detailed functional requirements for QA testing.
Key capabilities
- Generates structured markdown documents with defined headers and sections.
- Extracts key parameters, inputs, and outputs from natural language descriptions.
- Formats specifications to include edge cases, error handling, and success criteria.
- Maintains a consistent tone suitable for engineering documentation.
Example prompts
"Create a technical specification for a user authentication API that supports OAuth2 and JWT tokens." "Turn these three bullet points about a shopping cart feature into a full technical spec with database schema requirements." "I need a spec for a mobile app notification system that handles push, email, and SMS channels based on user preferences."
Tips & gotchas
- Provide as much context as possible in your initial prompt regarding the target audience (e.g., frontend vs. backend developers) to tailor the output.
- This skill generates drafts; always review generated specs against actual business logic before handing them off to engineering teams.