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Co Math Status

Community
morankor
co-math-status

Render a compact status view of an AI co-mathematician research project — goals, active workstreams, blocked items, pending reviews, recent decisions. Use when the user asks "what's the status of this project", "show me the workstreams", "/co-math-status", "what's blocked", or wants to understand project state without opening files manually. Replaces the visual workstream branching diagrams of the DeepMind paper (Fig. 2-4) with an ASCII rendering.

Overview

Publishermorankor
Repositorytheorist-toolbox
Skill nameco-math-status
Stars
92
Forks
23
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by morankor on GitHub. Read the source before you install it.

Installation

Install the Co Math Status 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/morankor/theorist-toolbox/tree/master/skills/co-math-status
  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/morankor/theorist-toolbox.git /tmp/theorist-toolbox
mkdir -p .claude/skills
cp -r /tmp/theorist-toolbox/skills/co-math-status .claude/skills/co-math-status
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Co Math Status 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 Co Math Status 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 Co Math Status 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.

Author: Moran Koren, Ben-Gurion University of the Negev (korenmor@bgu.ac.il). Part of the Theorist Toolbox.

co-math-status

Render a compact, human-readable status view of the current AI co-mathematician project.

When to invoke

  • /co-math-status
  • "show project status"
  • "what's the state of this project"
  • "what's blocked"
  • "which workstreams are running"

What it does

Runs python3 ~/.claude/co-math/tools/render_status.py from the current directory. The script walks up from the cwd to find a co-math-config.json; if there is no co-math project in the ancestry, it prints "not inside a co-math project" and exits cleanly.

When inside a project, the output looks like:

Project: ambidextrous-sofa
Created: 2026-05-10  |  Strict mode: ON  |  Paper format: latex

Research question:
  Prove an upper bound on the ambidextrous sofa problem area.

Goals (approved: YES)
  G1 Literature review of prior sofa bounds
  G2 Computational framework for branch-and-bound search
  G3 Execute the search

Workstreams                         status      agent              last update
  W001-prior-bounds          [G1]   COMPLETE    literature-reviewer 2026-05-10
  W002-comp-framework        [G2]   RUNNING     coder              2026-05-11
  W003-pruning-heuristic     [G2]   BLOCKED     prover             2026-05-12  <-- needs attention
  W004-search                [G3]   PLANNED     -                  -

Pending reviews
  W002-comp-framework  -- in review by paper-reviewer (round 1)

Open obligations in paper.tex
  3 \unproven blocks (see appendix A)

Recent decisions (last 3)
  2026-05-12  Pruning heuristic blocked; user steering needed (per W003 report.md)
  2026-05-11  Approved goals G1-G3
  2026-05-10  Project initialized

Failed explorations: 1 (see failed-explorations/)

Output

Output is printed directly. The script does not modify any files. After printing, briefly summarise the most important item for the user — typically "X workstreams running, Y blocked" — rather than re-explaining what the user just saw.

When to do more than render

If the user follows up with "open the blocked workstream" or "show me W003's log", read the relevant file with the Read tool and surface the contents.

Frequently asked questions

What does the Co Math Status AI skill do?

Render a compact status view of an AI co-mathematician research project — goals, active workstreams, blocked items, pending reviews, recent decisions. Use when the user asks "what's the status of this project", "show me the workstreams", "/co-math-status", "what's blocked", or wants to understand project state without opening files manually. Replaces the visual workstream branching diagrams of the DeepMind paper (Fig. 2-4) with an ASCII rendering.

Why use Co Math Status on TypingMind?

Because you install it once and use it with any model. Co Math Status 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 Co Math Status in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/morankor/theorist-toolbox/tree/master/skills/co-math-status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Co Math Status?

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 Co Math Status?

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

Is the Co Math Status AI skill free?

Yes. It is published on GitHub by morankor 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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