How do I install the Fable skill?

Run npx skillmds@latest add rishbjain1/fable in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Fable safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Fable?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Fable free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

rishbjain1 (@rishbjain1) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Fable by rishbjain1 — Agent Skill

Name: Fable
Author: rishbjain1

Fable

Run ONE hard reasoning/planning task on Fable 5 as a subagent, without leaving your current (Opus/Sonnet) seat. Use when you're on a cheaper model mid-session and hit a problem that genuinely needs frontier judgment — a subtle design call, a deep analysis, a strategic tradeoff — and want Fable's depth on just that piece. The main loop stays on the cheap model; only this one sub-task runs at Fable rates; only its distilled answer returns to context. Triggers - "fable this", "reason this on fable", "run this on fable", "/fable", "fable-reason".

rishbjain1 6611dc4 2.5 KB Updated Sep 17, 2026

File contents

/fable — one hard reasoning call on Fable, from any seat

You are (probably) on Opus/Sonnet. A skill does not switch your model. To get Fable's judgment on one piece without switching your whole session to Fable, delegate that piece to a Fable subagent and stay put.

How to run

Seat check. If the current main-loop model is already Fable, just answer in-chair — no subagent needed. Otherwise continue.
Spawn ONE Agent with model: fable. Give it the context floor — it starts blank, so pass everything it needs to reason well:
- the exact problem/question,
- the relevant conversation context, constraints, and any decisions already made,
- what a good answer looks like (the decision to make, options on the table, the tradeoff axis),
- instruction to return a distilled answer — the conclusion + the key reasoning, not a raw think-aloud dump.
Relay the subagent's answer to the user. Add your own one-line framing only if it helps; don't re-reason it on the cheap seat (that defeats the point).

When NOT to use

Iterative, multi-round hard thinking — a single subagent call is one-shot. If you need several rounds of pushing on it, launch the fable seat instead (the fable shell alias) and work there.
Mechanical / light work — that's haiku/sonnet, not Fable. Don't burn Fable rates on extraction, sweeps, or drafting.
A whole mixed task — use manager (it routes each piece, escalating to a Fable subagent only for the frontier parts).

Cost note

Main seat pays only for: writing the brief + reading the distilled answer. Fable pays only for the reasoning itself. Strictly cheaper than sitting on Fable for the session, and you keep Fable-tier depth on the part that needs it. Pairs with the manager skill and a review-loop's planning phase, which use the same fable-subagent-from-any-seat mechanism.

---name: fabledescription: Run ONE hard reasoning/planning task on Fable 5 as a subagent, without leaving your current (Opus/Sonnet) seat. Use when you're on a cheaper model mid-session and hit a problem that genuinely needs frontier judgment — a subtle design call, a deep analysis, a strategic tradeoff — and want Fable's depth on just that piece. The main loop stays on the cheap model; only this one sub-task runs at Fable rates; only its distilled answer returns to context. Triggers - "fable this", "reason this on fable", "run this on fable", "/fable", "fable-reason".---# /fable — one hard reasoning call on Fable, from any seatYou are (probably) on Opus/Sonnet. A skill does not switch your model. To getFable's judgment on one piece **without switching your whole session to Fable**,delegate that piece to a Fable subagent and stay put.## How to run1. **Seat check.** If the current main-loop model is *already Fable*, just answer in-chair — no subagent needed. Otherwise continue.2. **Spawn ONE `Agent` with `model: fable`.** Give it the **context floor** — it starts blank, so pass everything it needs to reason well: - the exact problem/question, - the relevant conversation context, constraints, and any decisions already made, - what a good answer looks like (the decision to make, options on the table, the tradeoff axis), - instruction to **return a distilled answer** — the conclusion + the key reasoning, not a raw think-aloud dump.3. **Relay** the subagent's answer to the user. Add your own one-line framing only if it helps; don't re-reason it on the cheap seat (that defeats the point).## When NOT to use- **Iterative, multi-round hard thinking** — a single subagent call is one-shot. If you need several rounds of pushing on it, launch the `fable` seat instead (the `fable` shell alias) and work there.- **Mechanical / light work** — that's haiku/sonnet, not Fable. Don't burn Fable rates on extraction, sweeps, or drafting.- **A whole mixed task** — use `manager` (it routes each piece, escalating to a Fable subagent only for the frontier parts).## Cost noteMain seat pays only for: writing the brief + reading the distilled answer. Fablepays only for the reasoning itself. Strictly cheaper than sitting on Fable for thesession, and you keep Fable-tier depth on the part that needs it. Pairs withthe `manager` skill and a review-loop's planning phase,which use the same fable-subagent-from-any-seat mechanism.

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