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Talk Stage1 Extract

Checked
florianbruniaux·vlatest·other·CC-BY-SA-4.0

Extracts key topics, entities, and sentiment from early-stage conversations to inform follow-up actions.

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 florianbruniaux/claude-code-ultimate-guide --skill talk-stage1-extract --full-depth -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

florianbruniaux

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 florianbruniaux/claude-code-ultimate-guide at a10267c921.

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

Commit
a10267c921
Manifest
examples/skills/talk-pipeline/stage-1-extract/SKILL.md
Scanned
1 file, 149 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, talk-stage1-extract, is designed to extract structured information from conversational text. It can identify key entities and relationships within a dialogue, effectively summarizing the core topics discussed. The extracted data is presented in a standardized format suitable for further processing or analysis.

When to use it

  • Meeting Summarization: Condense lengthy meeting transcripts into concise summaries highlighting action items and decisions.
  • Customer Service Analysis: Identify customer needs and pain points from support conversations.
  • Interview Transcription Processing: Quickly extract key information and qualifications from interview recordings.
  • Dialogue Understanding: Analyze conversational data to understand the underlying topics and relationships between speakers.

Key capabilities

  • Entity Recognition: Identifies key entities mentioned in the text (e.g., people, organizations, dates).
  • Relationship Extraction: Determines relationships between identified entities.
  • Structured Output: Presents extracted information in a standardized format.

Example prompts

  • "Extract the main topics and decisions from this meeting transcript."
  • "Identify the customer's problem and proposed solution from this support chat log."
  • “What are the key qualifications mentioned in this interview?”

Tips & gotchas

The quality of extraction depends heavily on the clarity and structure of the input text. Complex or ambiguous language may lead to less accurate results.