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Create Output Format

Checked
leeovery·vlatest·utilities·MIT

Helps with creation, formatting as part of agent workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add leeovery/agentic-workflows --skill create-output-format -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

leeovery

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 leeovery/claude-technical-workflows at 815e48dfd9.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
815e48dfd9
Manifest
.claude/skills/create-output-format/SKILL.md
Scanned
7 files, 420 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to structure their output into a defined format. It can generate outputs in formats like JSON, CSV, or Markdown tables based on user instructions. This ensures consistent and predictable data delivery for downstream processing or integration with other systems.

When to use it

  • Data Extraction: When you need an agent to extract specific information from text and present it as structured data (e.g., product details from a website).
  • Report Generation: To create reports in a consistent format, such as generating daily sales summaries in CSV.
  • API Integration: When the output needs to conform to a particular API's expected input structure (e.g., sending data to a database).
  • Content Creation: To produce content like Markdown tables for documentation or blog posts.

Key capabilities

  • Output formatting in JSON, CSV, and Markdown table formats.
  • User-defined format specifications.
  • Data extraction and structuring from text input.

Example prompts

  • "Extract the product name, price, and description from this webpage and output it as a JSON object."
  • "Summarize these customer reviews into a CSV file with columns for rating, comment, and date."
  • "Create a Markdown table listing the top 5 most popular articles on our blog."

Tips & gotchas

The agent's ability to accurately format output depends on clear instructions and well-defined data structures. Providing examples of the desired output format can significantly improve results.