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User Feedback Clarity

Checked
dylantarre·vlatest·other·MIT

This skill refines user feedback by identifying vague or ambiguous statements, ensuring clearer understanding and actionable insights for improvement.

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 dylantarre/animation-principles --skill user-feedback-clarity -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

dylantarre

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 dylantarre/animation-principles at 83597134ba.

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

Commit
83597134ba
Manifest
skills/12-by-problem-type/user-feedback-clarity/SKILL.md
Scanned
1 file, 85 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

user-feedback-clarity

What it does

This skill enables AI agents to interpret and respond effectively to ambiguous or unclear user inputs. It helps the agent recognize when a request lacks necessary context and prompts for clarification before proceeding with tasks.

When to use it

  • Ambiguous Requests: When a user provides a vague command like "fix the issue" without specifying which problem they are facing.
  • Incomplete Data: When an input is missing critical parameters required to execute a function, such as dates or file names.
  • Context Switching: When a conversation shifts topics abruptly and the agent needs to re-establish the current context.
  • Conflicting Instructions: When user inputs contain contradictory requirements that need resolution before action.

Key capabilities

  • Detects semantic ambiguity in natural language queries.
  • Identifies missing variables or parameters in task requests.
  • Generates targeted follow-up questions to resolve uncertainty.
  • Prevents execution of actions based on misunderstood instructions.

Example prompts

  • "I need help with my report, but I'm not sure if you have the latest draft."
  • "Can you summarize the meeting notes?" (followed by missing file attachment)
  • "Change the settings to be faster and quieter at the same time."

Tips & gotchas

This skill is most effective when paired with other communication skills that allow the agent to politely ask follow-up questions. Ensure your system prompts explicitly instruct the agent to pause execution if clarity cannot be confirmed.