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Discovery Interview

Checked
parcadei·vlatest·other·MIT

This skill simulates a structured discovery interview to gather key information and insights for strategic discussions – boosting efficiency and clarity.

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 parcadei/continuous-claude-v3 --skill discovery-interview -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

parcadei

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 parcadei/continuous-claude-v3 at d07ff4b06b.

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

Commit
d07ff4b06b
Manifest
.claude/skills/discovery-interview/SKILL.md
Scanned
1 file, 416 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

The discovery-interview skill facilitates structured conversations to uncover user needs and goals. It guides the AI agent through a series of questions designed to elicit detailed information, allowing for more targeted assistance or task completion. The resulting data can then be used to inform subsequent actions or provide personalized recommendations.

When to use it

  • Initial User Onboarding: To understand new users' objectives and tailor their experience.
  • Complex Task Planning: When a task requires detailed information about the user’s context and desired outcome before execution.
  • Personalized Recommendations: Gathering sufficient data to provide relevant suggestions or solutions.
  • Problem Diagnosis: Systematically exploring issues by asking clarifying questions.

Key capabilities

  • Structured Questioning: Follows a predefined sequence of questions.
  • Data Elicitation: Designed to gather specific user information.
  • Goal Understanding: Aims to determine the user's underlying objectives.

Example prompts

  • "Start a discovery interview with me about planning a vacation."
  • "Initiate an interview to understand my needs for setting up a new project."
  • "Run the discovery-interview skill to help me troubleshoot this error message."

Tips & gotchas

The effectiveness of this skill relies on clear and concise user responses. Be prepared to provide detailed answers to the questions posed by the AI agent.