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Feedback Indicators

Checked
dylantarre·vlatest·other·MIT

This skill provides visual feedback indicators for AI responses, enhancing transparency and allowing users to quickly assess quality & relevance.

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 feedback-indicators -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/05-by-animation-type/feedback-indicators/SKILL.md
Scanned
1 file, 126 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

The feedback-indicators skill provides visual cues to AI agents, signaling when they should pause, reflect, or adjust their output based on user interaction patterns. It leverages animation principles to create intuitive interfaces that guide agent behavior without explicit text commands.

When to use it

  • Enhance conversational flows by visually indicating when an agent is processing complex queries.
  • Improve accessibility for users who prefer non-text feedback during long interactions.
  • Signal state changes in multi-step workflows, such as waiting for user confirmation before proceeding.
  • Add personality and engagement to chat interfaces through subtle motion design.

Key capabilities

  • Dynamic visual indicators triggered by agent actions or user inputs.
  • Integration with animation principles for smooth, purposeful motion.
  • Customizable feedback loops that adapt to context and timing.
  • Support for both immediate and delayed response scenarios.

Example prompts

  • "Show a loading spinner when the agent is analyzing my request."
  • "Add a subtle pulse effect when the agent is waiting for my reply."
  • "Use color-coded indicators to show if the agent understands or needs clarification."

Tips & gotchas

Ensure your interface has sufficient contrast and motion clarity so feedback remains accessible. Avoid overusing animations, as excessive movement can distract from core content rather than enhance it.