Fable Fable

Community

mrtooher

fable-fable

Run fable-mode execution discipline on Claude Fable 5.1 — the top of the escalation ladder and the strongest staged run available. Routes the task to the @fable-orchestrator agent with its model overridden to Fable (`model: "fable"`), which stages the work, delegates artifact production to @fable-worker-sonnet / @fable-worker-haiku, and cold-checks deliverables with @fable-verifier. Trigger when the user explicitly asks for thorough/systematic/"deep work" handling on the strongest model ("fable on fable", "stage this on fable", "deep work mode, fable", "run this on 5.1"), or when a fable-opus run reports the task exceeds Opus's ceiling. Benchmarked 2026-09-02: zero correctness delta on Fable 5.1 at ~1.1× tokens, ~2× wall — a provenance runner, not an accuracy runner. Do NOT use for ordinary single-pass tasks — prefer fable-opus, fable-sonnet, or fable-haiku when the task doesn't need peak reasoning. Fable is plan-included; bulk work still routes down-tier.

Overview

Publisher	mrtooher
Repository	`fable-mode`
Skill name	`fable-fable`
Stars	873
Forks	95
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 mrtooher on GitHub. Read the source before you install it.

Installation

Install the Fable Fable 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/mrtooher/fable-mode/tree/main/fable-fable
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/mrtooher/fable-mode.git /tmp/fable-mode
mkdir -p .claude/skills
cp -r /tmp/fable-mode/fable-fable .claude/skills/fable-fable

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

Use it in TypingMind

Enable Fable Fable 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 Fable Fable 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 Fable Fable 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.

Fable Mode — Fable 5.1 (v3, agent-routed)

Same structural delegation as fable-opus: the orchestrator is a real agent definition (agents/fable-orchestrator.md) with no Write/Edit tool, so it cannot do the work inline. The only difference from fable-opus is the model the orchestrator runs on. Fable 5.1 is the top of the ladder (Haiku → Sonnet → Opus → Fable → user); gaps it cannot close go to the user.

Fable 5.1's characteristic gaps under this discipline: none measured (benchmarked 2026-09-02, 16 paired runs, n=2 per cell: 100/100 in every cell, both arms; skill cost ~1.1× tokens, ~2× wall). This is a provenance runner — worklog, reproducible checks, flagged judgment calls — not an accuracy runner. The orchestrator definition keeps the frontier-tier guards (external-artifact verification, scope rule, replan budget) because those produce the trail.

If a task has one obvious correct approach and fits in a single pass, skip this loop and do it directly. On a Fable-class model the stage map is ceremony for anything short of multi-session or many-file work.

How to run it

Confirm the fable agents are installed (fable-orchestrator, fable-worker-sonnet, fable-worker-haiku, fable-verifier appear in the available agent types) AND the Agent/Task tool accepts model: "fable".
- Agents missing → fall back to the inline method: spawn a general-purpose agent with model: "fable" and pass it the Core loop and operational rules verbatim from agents/fable-orchestrator.md.
- "fable" not accepted as a model → say so and run fable-opus instead.
- Per-invocation model override is documented for Claude Code (code.claude.com/docs/en/sub-agents: "the per-invocation model parameter" outranks the definition's frontmatter; fable is a listed alias) and confirmed on the Cowork Agent tool. On a runtime that lacks it, copy agents/fable-orchestrator.md to agents/fable-orchestrator-fable.md, set name: fable-orchestrator-fable and model: fable, and route to that instead.
Spawn @fable-orchestrator via the Task tool (subagent_type: "fable-orchestrator", model: "fable"). Brief it with: the user's task, the output directory, relevant session context, and any user-set limits (warning threshold, worker cap, deadline).
Do not restate the Core Loop or operational rules in the briefing — the orchestrator's agent definition carries them. Brief the task, not the method.
When it returns, relay the result, every stage it marked unverified, and its recommendations (surfaced scope it did not build).
Mandatory delivery gate: before presenting the result to the user, invoke the double-check skill on the finished deliverable. If the orchestrator's fable-verifier already cold-checked the final document (not just intermediate outputs), double-check will detect that and run only the synthesis-seam check instead of a full panel — its own rules handle this. Do not skip the gate; the user relies on it instead of re-checking the work themselves.

Known limitation

Same side door as fable-opus: the orchestrator keeps Bash for verification commands, and Bash can technically create files. Its definition forbids that use.

Frequently asked questions

What does the Fable Fable AI skill do?

Why use Fable Fable on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mrtooher/fable-mode/tree/main/fable-fable. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fable Fable?

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 Fable Fable?

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

Is the Fable Fable AI skill free?

It is published on GitHub by mrtooher. 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

Fable Mode — Fable 5.1 (v3, agent-routed)

How to run it

Known limitation

Frequently asked questions

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