Thermo Fix

Community

devton

thermo-fix

Run a full code quality review on changed files, apply every identified fix, and iterate until approved (up to 3×).

Overview

Publisher	devton
Repository	`agentic-workflow-blueprint`
Skill name	`thermo-fix`
Stars	73
Forks	4
Bundled files	Instructions only
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by devton on GitHub. Read the source before you install it.

Installation

Install the Thermo Fix AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/devton/agentic-workflow-blueprint/tree/main/workflows/thermo-fix
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/devton/agentic-workflow-blueprint.git /tmp/agentic-workflow-blueprint
mkdir -p .claude/skills
cp -r /tmp/agentic-workflow-blueprint/workflows/thermo-fix .claude/skills/thermo-fix

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Thermo Fix in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Thermo Fix on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Thermo Fix is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

agentic-workflows-blueprint.workflow.thermo-fix

Goal

Run a thermo-nuclear code quality review on the diff, apply every identified fix inline, verify the build, and iterate until all blockers are resolved (up to 3 cycles).

Scope

Applies to: Files modified in the current session or branch.
Does not cover: Implementing new feature scope from scratch or running deployment pipelines.

Triggers

"/thermo-fix"
"Run review and fix cycle"
"Fix code quality findings"

Inputs

diffScope: Files to review (default: modified files in branch).
maxIterations: Maximum review+fix cycles (default: 3).
buildCommand: Project verification/build command.

Invariants

Never approve on behavior alone: Structural regressions are blockers.
Inline fix cycle: Apply fixes in the same conversation without branching.
Build verification: Run build/syntax check after every fix cycle.
No unsolicited changes: Only fix identified quality findings.

Procedure

Identify Diff: List all modified files.
Review: Run thermo-nuclear-code-quality-review to produce finding table (Blocker, High, Medium, Low).
Apply Fixes: Fix findings top-down (Blocker -> High -> Medium).
Verify Build: Run project build/check command. Fix build errors if any occur.
Re-review: Re-inspect all changed files. Stop if zero Blocker or High findings remain. Otherwise repeat up to maxIterations.
Commit: Create a local git commit with finding summary.

Outputs

Resolved code findings.
Build verification pass.
Updated docs/tasks/task.<reference>.md and walkthrough.md.
Local git commit.

Review gate

Zero Blocker findings.
Zero High findings.
Project build/syntax checks pass.

References

../../SKILL.md
../thermo-nuclear-code-quality-review/SKILL.md
../radioactive/SKILL.md

Frequently asked questions

What does the Thermo Fix AI skill do?

Run a full code quality review on changed files, apply every identified fix, and iterate until approved (up to 3×).

Why use Thermo Fix on TypingMind?

Because you install it once and use it with any model. Thermo Fix is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Thermo Fix in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/devton/agentic-workflow-blueprint/tree/main/workflows/thermo-fix. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Thermo Fix?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Thermo Fix?

As many as you like. As long as a model supports skills, you can use Thermo Fix with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Thermo Fix AI skill free?

It is published on GitHub by devton. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

agentic-workflows-blueprint.workflow.thermo-fix

Goal

Scope

Triggers

Inputs

Invariants

Procedure

Outputs

Review gate

References

Frequently asked questions

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