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Team Ultra Analyze

Checked
catlog22·vlatest·other·MIT

Rapidly synthesizes complex data from diverse sources to identify hidden patterns and strategic opportunities for teams.

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 catlog22/claude-code-workflow --skill team-ultra-analyze -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

catlog22

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 catlog22/claude-code-workflow at 07491b04ac.

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

Commit
07491b04ac
Manifest
.codex/skills/team-ultra-analyze/SKILL.md
Scanned
22 files, 3,264 lines
Copies in repo
2 — all of them scanned
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

Team Ultra Analyze rapidly synthesizes complex data from diverse sources to identify hidden patterns and strategic opportunities for teams. It uses a collaborative analysis process involving exploration, analysis, discussion, and synthesis. The skill offers different pipeline modes (Quick, Standard, and Deep) with configurable depth using multiple parallel agents to progressively refine understanding through iterative analysis and discussion loops guided by the user.

When to use it

  • Analyzing market trends and competitor strategies.
  • Identifying potential risks and opportunities in a project or initiative.
  • Synthesizing research findings from various sources into actionable insights.
  • Exploring complex datasets to uncover hidden relationships and patterns.
  • Facilitating team discussions around strategic decisions based on data analysis.

Key capabilities

  • Collaborative Analysis: Facilitates exploration, analysis, discussion, and synthesis of information.
  • Multiple Pipeline Modes: Offers Quick, Standard, and Deep modes for varying levels of depth and complexity.
  • Configurable Depth (N parallel agents): Allows adjustment of the number of agents used in parallel to control analysis granularity.
  • User-Guided Discussion Loops: Enables users to direct the iterative refinement of understanding through discussion phases.
  • Role-Based Workers: Utilizes specialized worker roles like Explorer, Analyst, Discussant, and Synthesizer for distinct tasks.

Example prompts

  • "Analyze recent customer feedback regarding our new product."
  • "Explore market trends in renewable energy and identify potential investment opportunities."
  • "Synthesize the findings from these three research papers on artificial intelligence."

Tips & gotchas

  • The skill utilizes parallel agents, so processing time may vary depending on the chosen pipeline mode and depth.
  • User guidance is crucial during discussion loops to ensure a focused and productive analysis.
  • You can use ccw cli --mode write for modifications and ccw cli --mode analysis (read-only) to monitor progress.