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what is liam-skills fr?

fainshare/liam-skills — explained in plain English

Analysis updated 2026-05-18

83PythonAudience · developerComplexity · 3/5LicenseSetup · easy

tl;dr

A pack of AI agent skills that turns a five step thinking process (diverge, converge, verify, review, reclaim) into chainable Claude Code skills.

vibe map

mindmap
  root((repo))
    What it does
      Diverge ideas
      Converge findings
      Verify with data
      Review for bias
      Reclaim rejected ideas
    Tech stack
      Claude Code
      SKILL.md format
      Bash
    Use cases
      Evaluate tech proposals
      Review architecture
      Check investment claims
    Audience
      AI agent users
      Developers
    Skills
      Osborn
      Hegel
      Bayes
      Feynman
      Debono

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what do people make with this?

VIBE 1

Run a structured brainstorm on a technical proposal before committing to a direction.

VIBE 2

Have an AI agent verify its own conclusions against real code instead of trusting its first answer.

VIBE 3

Get an adversarial review of AI generated work that checks for self deception.

VIBE 4

Re-examine ideas that were rejected earlier to see if they were dismissed too quickly.

what's the stack?

Claude CodeSKILL.mdBashPython

how it stacks up fr

fainshare/liam-skillsmichaelliao/miniweibosuperagents-lab/xcode27-skills
Stars838383
LanguagePythonPythonPython
Last pushed2012-12-28
MaintenanceDormant
Setup difficultyeasymoderateeasy
Complexity3/53/51/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

how do i run it?

Difficulty · easy time til it works · 30min

Requires a Bash environment and an AI agent platform that supports the SKILL.md format, such as Claude Code.

Use, modify, and share freely, including for commercial purposes, as long as you keep the copyright notice.

in plain english

Liam Skills is a set of thinking method skill packs meant to be loaded into AI agent platforms such as Claude Code, Qoder, or Aone Copilot. The main project inside it, called Taixu Wuzhuan (Five Turns of Taixu), turns a five step thinking process, diverge, converge, verify, review, and reclaim, into five separate skills that can be used one at a time or chained together. The problem it is trying to solve is that an AI agent tends to lock onto its first idea and reason around it from then on, and a single prompt cannot fix that on its own. Each of the five skills is named after a thinker and handles one step. Osborn spreads out as many possible ideas as it can, using structured prompts like substitute, combine, and reverse, so the agent does not settle too early. Hegel then runs a calibrate, challenge, and deepen loop over those ideas until they converge on a smaller set of real findings, including checking what evidence would exist if the original idea were wrong. Bayes turns each surviving finding into a checkable prediction and tests it against real code or data, treating any mismatch as useful information about a blind spot. Feynman reviews the resulting work for self deception using six principles, and does this with a separate agent that only sees the finished change, not the reasoning that produced it, so it cannot be talked into agreeing. Debono then looks back at whatever got rejected along the way and asks under what conditions it would actually have been valid, to catch good ideas that were thrown out too quickly. All five can be run together through an included pipeline tool with pause points between steps, or run selectively. A separate skill called Socrates applies a similar checking approach to outside claims, such as industry reports or competitor analysis, rather than the agent's own output. Suggested uses include evaluating technical proposals, reviewing architecture decisions, and checking investment or content arguments. It installs by cloning the repository and copying the skill folders into your platform's skills directory, and needs a Bash environment since some skills run shell commands to verify their findings. The project is released under the MIT license.

prompts (copy fr)

prompt 1
Load the osborn skill and help me brainstorm as many approaches as possible to this technical problem before we pick one.
prompt 2
Run the hegel skill to converge these ideas into the two or three findings that matter most.
prompt 3
Use the bayes skill to check whether this conclusion actually holds up against the real code in this repo.
prompt 4
Run the feynman skill to review my finished change for self deception before I submit it.
prompt 5
Use the debono skill to look again at the ideas we rejected and tell me if any of them are actually valid under different conditions.

Frequently asked questions

what is liam-skills fr?

A pack of AI agent skills that turns a five step thinking process (diverge, converge, verify, review, reclaim) into chainable Claude Code skills.

What language is liam-skills written in?

Mainly Python. The stack also includes Claude Code, SKILL.md, Bash.

What license does liam-skills use?

Use, modify, and share freely, including for commercial purposes, as long as you keep the copyright notice.

How hard is liam-skills to set up?

Setup difficulty is rated easy, with roughly 30min to a first successful run.

Who is liam-skills for?

Mainly developer.

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