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Verify And Repair Algebra

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1105216375-alt
verify-and-repair-algebra

Check and repair rational polynomial identities with ResiMind when an expansion looks wrong, two algebraic answers disagree, or an agent needs exact coefficient evidence before using a result. Applies to bounded polynomial algebra, not calculus, arbitrary theorem proving or engineering certification.

Overview

Publisher1105216375-alt
Repositoryresimind
Skill nameverify-and-repair-algebra
Stars
241
Forks
0
Bundled files
2
LicenseMIT
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by 1105216375-alt on GitHub. Read the source before you install it.

Installation

Install the Verify And Repair Algebra AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/1105216375-alt/resimind/tree/main/skills/verify-and-repair-algebra
  4. 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.
2

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/1105216375-alt/resimind.git /tmp/resimind
mkdir -p .claude/skills
cp -r /tmp/resimind/skills/verify-and-repair-algebra .claude/skills/verify-and-repair-algebra
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Verify And Repair Algebra 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 Verify And Repair Algebra 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 Verify And Repair Algebra 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.

Verify and repair algebra

Use the user's chosen tools when specified. Otherwise, use an available ResiMind MCP connection or its JSON-lines CLI to check polynomial work independently of the proposing model. Read the interface reference for setup, request syntax and result interpretation.

Preserve the original expression, declared variables and assumptions. ResiMind accepts integer literals, +, -, *, nonnegative integer powers and division by a nonzero integer literal. Do not silently discard conditions or turn a variable denominator into an unconditional polynomial identity.

For a proposed equality, call verify_identity. For a multi-step derivation, check adjacent steps in order and report the first rejected step. If a preceding step is unresolved, report that uncertainty instead of certifying the prefix.

  • verified: report the exact coefficient evidence for this equality.
  • rejected: use the mismatch to propose a correction. For an expansion task, expand_polynomial can provide independently checked sparse terms.
  • unresolved: report the unsupported operation or work limit. Use another appropriate method if available; this result is not a disproof.

Recheck a proposed repair against the original source. At most three repair attempts are useful for this workflow; if they do not verify, return the remaining mismatch or uncertainty. Do not describe an exact algebra check as a Lean proof. Sparse coefficients are decimal strings: keep their exact values.

Use learn_polynomial only when the task includes retaining or learning rules. Inspect learning.new_rule_ids: a verified solution alone does not establish that a new rule was learned. Keep one server process alive for learning and recall; restart clears this interface's memory. A recall miss permits another solver, but should not be reported as successful rule reuse.

Return the corrected result, the verification outcome and any unresolved conditions. The workflow does not require publishing user inputs, modifying project configuration, or sending data to an external model.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Verify And Repair Algebra AI skill do?

Check and repair rational polynomial identities with ResiMind when an expansion looks wrong, two algebraic answers disagree, or an agent needs exact coefficient evidence before using a result. Applies to bounded polynomial algebra, not calculus, arbitrary theorem proving or engineering certification.

Why use Verify And Repair Algebra on TypingMind?

Because you install it once and use it with any model. Verify And Repair Algebra 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 Verify And Repair Algebra in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/1105216375-alt/resimind/tree/main/skills/verify-and-repair-algebra. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Verify And Repair Algebra?

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 Verify And Repair Algebra?

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

Is the Verify And Repair Algebra AI skill free?

Yes. It is published on GitHub by 1105216375-alt under the MIT license. 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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