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Providing Feedback

Checked
ancoleman·vlatest·writing·MIT

This skill generates constructive feedback on text, helping users refine their writing and improve clarity & impact.

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 ancoleman/ai-design-components --skill providing-feedback -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

ancoleman

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 ancoleman/ai-design-components at 76551b7b19.

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

Commit
76551b7b19
Manifest
skills/providing-feedback/SKILL.md
Scanned
19 files, 9,088 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 provide constructive feedback on user input, documents, or other creative works. It can analyze text for clarity, grammar, and style, offering suggestions for improvement. The agent can also be prompted to evaluate the overall quality of a piece based on specific criteria.

When to use it

  • Draft Review: Have the AI agent review a first draft of an email or report before sending.
  • Creative Writing Critique: Get feedback on a short story, poem, or other creative writing project.
  • Code Assessment: Request the agent to review code snippets for potential errors and style improvements (though this is not its primary focus).
  • Presentation Feedback: Ask the AI to evaluate a presentation outline or script for clarity and engagement.

Key capabilities

  • Text analysis
  • Grammar checking
  • Style suggestions
  • Quality evaluation based on criteria

Example prompts

  • "Please provide feedback on this email draft: [email content]"
  • "Can you critique this short story, focusing on pacing and character development?"
  • "Evaluate the clarity of this paragraph: [paragraph text]"

Tips & gotchas

The quality of feedback depends heavily on the specificity of your prompt. Providing clear criteria or areas to focus on will yield more useful results.