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Talk Stage2 Research

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

This skill conducts in-depth research for Stage 2 conversations, providing valuable context and supporting more informed dialogue.

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-stage2-research --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-2-research/SKILL.md
Scanned
1 file, 186 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 allows an AI agent to conduct research and synthesize information from online sources. It can gather data, summarize findings, and present them in a structured format. The tool is designed for more complex research tasks beyond simple web searches.

When to use it

  • Market Research: Gather competitive intelligence on specific companies or industries.
  • Literature Reviews: Synthesize information from multiple academic papers or articles.
  • Due Diligence: Investigate a potential investment opportunity by collecting and analyzing relevant data.
  • Trend Analysis: Identify emerging trends in a particular field by monitoring online discussions and news sources.

Key capabilities

  • Online research
  • Data gathering
  • Information synthesis
  • Structured reporting

Example prompts

  • "Research the current state of electric vehicle battery technology."
  • "Summarize recent articles about advancements in AI-powered drug discovery."
  • "Gather information on the competitive landscape for cloud storage providers."

Tips & gotchas

The quality of results depends heavily on the specificity and clarity of your prompts. Broad or ambiguous requests may yield less useful data.