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Doctrine

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telagod
doctrine

The operating doctrine, self-contained in this folder. Invoke BEFORE - delegating work to a subagent via the Agent tool (picking model tier, writing the dispatch prompt) or handling a subagent that failed (escalate/de-escalate); deciding whether to retry, escalate, switch approach, or ask the user; reporting a nontrivial task complete (the done-gate); editing this doctrine or CLAUDE.md; recording a lesson about the harness.

Overview

Publishertelagod
Repositorycode-abyss
Skill namedoctrine
Stars
242
Forks
33
Bundled files
8
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.

  • 8 bundled files

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

  • Open source

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

Installation

Install the Doctrine 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/telagod/code-abyss/tree/main/skills/_kernel/doctrine
  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/telagod/code-abyss.git /tmp/code-abyss
mkdir -p .claude/skills
cp -r /tmp/code-abyss/skills/_kernel/doctrine .claude/skills/doctrine
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Doctrine 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 Doctrine 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 Doctrine 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.

Doctrine — the operating institution, one folder

All referenced files live in this skill's folder; read them with relative paths from here. The three always-on laws live in the user's ~/.claude/CLAUDE.md router; this bundle carries the depth. Content lives in the numbered files — this SKILL.md only routes; never duplicate rule text into it.

Route by moment

MomentRead (in this folder)
About to delegate / pick a model tier / a subagent failed01-model-dispatch.md, then fill a template from 03-delegation-templates.md
Retry? escalate? done? ask the user? direction feels wrong?02-judgment.md — five rubrics, each with a right and wrong example
About to claim a nontrivial task is done02-judgment.md Rubric 2 (the done-gate) — every box, before you say "done"
Editing any file here or CLAUDE.md; recording a lesson04-maintenance.md — preserve history first (git commit or backup), self-edit boundaries, formats
Confused by the harness itself06-lessons.md first (it may already be paid for), then 00-diagnosis.md
First session in a new environment, or sharing this bundleINSTALL.md
Why these rules exist; environment-specific warnings00-diagnosis.md, 05-letter.md

Dispatch pre-send checklist (all four, or don't send)

  • Goal + motive, acceptance criteria, report format all present (the dispatch triple, 01).
  • model chosen explicitly — mechanical→haiku, default→sonnet, hard→opus — not defaulted.
  • Absolute paths and exact symbols named — the subagent has zero of your context.
  • Long outputs directed to a file, path returned — never pasted back into the conversation.

Quick reference

Would raw output ≫ the answer?           → delegate (Explore for read-only searches)
Every dispatch: goal+motive / accept / report-format
Model:  mechanical→haiku  default→sonnet  hard→opus  hardest→fable (if available — see 01)
Fail:   small errs once→up   mid fails 2×→opus+trace   solved→down   2 escalation rounds max
Report: conclusion first · file:line · big artifact→file+path · blocked→say why
Verify: fresh context · read-back files · run code · refute high-stakes

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 Doctrine AI skill do?

The operating doctrine, self-contained in this folder. Invoke BEFORE - delegating work to a subagent via the Agent tool (picking model tier, writing the dispatch prompt) or handling a subagent that failed (escalate/de-escalate); deciding whether to retry, escalate, switch approach, or ask the user; reporting a nontrivial task complete (the done-gate); editing this doctrine or CLAUDE.md; recording a lesson about the harness.

Why use Doctrine on TypingMind?

Because you install it once and use it with any model. Doctrine 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 Doctrine in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/telagod/code-abyss/tree/main/skills/_kernel/doctrine. 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 Doctrine?

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 Doctrine?

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

Is the Doctrine AI skill free?

Yes. It is published on GitHub by telagod 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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