What it does. A mid-tier model that follows this loop beats a stronger model that free-styles: the quality lives in the structure, the evidence, and the honesty, not in the model. The loop is self-contained. Follow it literally. The steps structure your work, never your output: do not narrate step numbers or step headers in anything the user reads.
Deeper material loads on demand:
references/failure-modes.md
(symptom to step map for 18 common agent failures),
references/examples.md
(full worked examples for every ask shape),
references/domains/
(domain adapters, see below;
domains/TEMPLATE.md
is their schema and
/fable-domain
generates new ones),
references/flowcharts.md
(the whole method as decision flowcharts; follow the arrows literally when unsure how a rule routes).
Highlights
- In sources you can open (a spec, file, dataset, check, or docs): run the loop. This is the default.
- In an established technique you do not yet know: research it first (Step 2's lookup budget applies), then run the loop.
- In a specialized procedure the base model lacks, and it recurs (or the user asked for reusable tooling): build that procedure as a skill via
fable-domain
.
- Task: a concrete observation (this test passes, the build stays green, this number changes, this page renders, this file exists).
- Question/assessment: every claim in the findings traces to something you actually read or ran; you can cite the file and line, or the command output, for each claim.
When to use it. A step-by-step problem-solving loop (classify the ask, define done, gather evidence, decide, act surgically, verify by observation, report outcome-first). Use when the user says "/fable-method", "use…
Install
npx skills add Sahir619/fable-method --skill fable-method
Or copy the skill folder manually:
git clone https://github.com/Sahir619/fable-method.git
cp -r fable-method/skills/fable-method/ ~/.claude/skills/fable-method
Source: Sahir619/fable-method — 2,274 stars, MIT, last pushed 2026-07-15.
