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Ask Questions If Underspecified

Checked
skillcreatorai·vlatest·other·MIT

This skill prompts for clarification when user requests lack detail, ensuring more accurate and relevant responses by surfacing needed information.

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 moizibnyousaf/ai-agent-skills --skill ask-questions-if-underspecified -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

skillcreatorai

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 skillcreatorai/ai-agent-skills at 6d95c788aa.

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

Commit
6d95c788aa
Manifest
skills/ask-questions-if-underspecified/SKILL.md
Scanned
1 file, 81 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 enables AI agents to detect when user requests lack sufficient detail and automatically pause execution to ask clarifying questions. It prevents the generation of generic or incorrect outputs by ensuring all necessary context is gathered before proceeding with a task.

When to use it

  • Vague project briefs: When a user describes a goal like "make a website" without specifying the type, features, or design preferences.
  • Incomplete data requests: When a user asks for analysis on "sales figures" but fails to provide the specific time range or department involved.
  • Ambiguous coding tasks: When a developer requests a script to "process files" without defining the file format, location, or transformation logic.
  • Unclear creative direction: When a prompt asks for "a story" without defining the genre, tone, or target audience.

Key capabilities

  • Analyzes incoming prompts for missing critical variables or ambiguous instructions.
  • Generates targeted follow-up questions to resolve specific gaps in information.
  • Halts task execution until the user provides the required details.
  • Maintains context of the original request while seeking clarification.

Example prompts

  • "I need you to write a marketing email for my new coffee shop, but I haven't told you about our unique selling points or target demographic yet."
  • "Can you help me debug this code? (Note: The agent should ask which language and framework the code uses before attempting any fixes.)"
  • "Create a workout plan for me. (The skill will prompt the user to specify their fitness level, available equipment, and daily time commitment.)"

Tips & gotchas

  • This skill is most effective when paired with tasks requiring specific parameters; it may not trigger on open-ended creative writing where ambiguity is acceptable.
  • Ensure your AI agent has a mechanism to store the user's answers to these clarifying questions so they can be referenced in the final output.