mrtooher

fable-haiku

Run fable-mode execution discipline on Claude Haiku. Routes the task to the @fable-worker-haiku agent, whose definition carries the staged loop with tightened verification (no bare "unverified" allowed) and an escalate-don't-improvise rule. Trigger when the user explicitly asks for thorough/systematic handling run cheaply or fast ("fable on haiku", "deep work mode but cheap", "stage this on haiku"). For bulk mechanical work. Do NOT use for tasks needing synthesis — benchmark note: at n=1 the skill's effect on Haiku swung both directions (+25 / −17); route quality-critical work to fable-sonnet instead.

mrtooher 845 90 Updated 1mo ago
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Install

npx skillscat add mrtooher/fable-mode/fable-haiku

Install via the SkillsCat registry.

SKILL.md

Fable Mode — Haiku (v3, agent-routed)

v3 change: the worker is a real agent definition (agents/fable-worker-haiku.md)
invoked by name. Its system prompt carries the loop, the tightened verification
rule, and the operational rules; this skill only routes.

If a task has one obvious correct approach and fits in a single pass, skip this
loop and do it directly.

How to run it

  1. Confirm fable-worker-haiku appears in the available agent types. If not,
    fall back to inline: spawn a general-purpose Haiku agent and pass it the
    rules verbatim from agents/fable-worker-haiku.md.
  2. Spawn @fable-worker-haiku via the Task tool (subagent_type: "fable-worker-haiku"). Brief it with: the task, the exact output path(s),
    and the pass condition — name the check explicitly; Haiku gets no benefit of
    the doubt on verification.
  3. Haiku is cheap: for independent sub-parts, fan out one worker per part and
    merge. Set a ceiling on concurrent workers.
  4. Follow with @fable-verifier (a second Haiku is cheap; fresh eyes can't
    inherit the worker's blind spots) for anything that will be delivered
    without human review.
  5. If a worker escalates ("needs synthesis"), re-route that part to
    fable-worker-sonnet rather than retrying Haiku with a louder prompt.

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