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Talk Pipeline

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

Automates repetitive DevOps tasks via natural language commands, streamlining workflows and reducing manual intervention.

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-pipeline --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/orchestrator/SKILL.md
Scanned
1 file, 161 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 talk-pipeline skill facilitates structured conversations with AI agents, enabling them to process and respond to complex requests in a more organized manner. It breaks down user input into distinct phases like "intent recognition," "entity extraction," and "response generation." This allows for more controlled interactions and potentially improved accuracy compared to freeform dialogue.

When to use it

  • Complex Task Decomposition: Use when you need the AI agent to handle multi-step tasks, such as planning a trip or writing a detailed report.
  • Structured Data Extraction: Employ this skill when extracting specific information from user input is crucial, like gathering requirements for software development.
  • Controlled Dialogue Flow: Ideal for scenarios where maintaining a predictable and guided conversation flow is important, such as customer service bots.

Key capabilities

  • Intent recognition
  • Entity extraction
  • Response generation
  • Structured conversational phases

Example prompts

  • "Plan a trip to Paris, first identify my interests, then suggest flights and hotels."
  • "Extract the key requirements from this document for a new mobile app."
  • "Create a customer service flow to handle order cancellations."

Tips & gotchas

The skill's effectiveness relies on well-defined phases. Ensure your prompts clearly delineate these phases to guide the AI agent’s processing.