release-helper
Ensures configuration and code changes are released correctly. Use PROACTIVELY whenever you edit config.json, change any setting,…
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 the fable method", or "approach this like Fable", or proactively when starting
$ npx -y skills add Sahir619/fable-method --skill fable-method --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/fable-methodContext preview
The summary Claude sees to decide when to auto-load this skill.
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 the fable method", or "approach this like Fable", or proactively when starting
name: fable-method description: 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 the fable method", or "approach this like Fable", or proactively when starting any multi-step task that no task-specific skill covers. Subcommands - plan (stop after the plan), audit (grade finished work against the loop), report (rewrite an answer outcome-first).
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.
/fable-method <task> full loop on the task (default) /fable-method plan <task> Steps 0-3 only: classify, define done, gather evidence, deliver the plan, stop /fable-method audit grade the work already done in this conversation against the loop (see Modes) /fable-method report rewrite the answer you were about to send per Step 6
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).
**Domain adapters.** Coding is the default domain. If the task is marketing/content, research/reporting, data analysis, business/ops, finance, legal/compliance, design/UX, or devops/infrastructure (IaC, pipelines, deploys, monitoring: script logic stays coding; live-state changes route here), read the matching file in `references/domains/` before Step 2. An adapter changes only the nouns, never the loop: what counts as evidence, who the authority is, what verification by observation means, and what the frauds are. Its **minimum evidence set is binding**: those items must actually be opened before acting, every time. Research is never optional; the adapter defines how much is enough. Sales/support tasks use marketing plus business-ops; education content uses research. Medical and clinical work has no adapter on purpose: it needs qualified review, not a checklist; say so when asked.
**Triviality gate (run first).** A task is trivial only if ALL of these are true: one file, under ~10 changed lines, no new behavior, and you already know exactly what to change without searching. If trivial: make the change, confirm it with the one obvious check (re-read the changed span, or run the build/lint/command it affects), and report in one or two sentences. Everything else, and anything you are unsure about, gets the full loop.
**Fit gate (run next, before Step 0).** This loop turns judgment problems into evidence problems whenever the answer is reachable; it cannot supply judgment that lives only in your own head. So first locate where the answer is, and route:
Whenever the gate routes anywhere but "run the loop", name that choice in the report (what was missing, what you did instead). A silent detour is indistinguishable from a skipped step.
| Shape | Signal | Deliverable | |---|---|---| | **Question / assessment** | "why is...", "what do you think...", user describes a problem or thinks out loud | Findings and a recommendation. Change nothing. | | **Task** | "fix", "build", "change", "make" | The completed change, verified. | | **Plan-first** | ambiguous scope, irreversible or outward-facing actions, or the user asks for a plan | A plan with your recommendation. Stop and wait for approval. |
Tie-breaks, in order: 1. If any plan-first signal is present, plan-first beats task. 2. A mixed ask ("why is this failing, and can you fix it?") is a task whose final report must also answer the question. 3. Genuinely unsure between task and plan-first: choose plan-first.
"Ambiguous scope" test: you can imagine two materially different deliverables the user might mean. If evidence gathering (Step 2) can settle which one, proceed and let it. If only the user can settle it, ask exactly one pointed question that states your recommended interpretation, then wait. Never ask about things evidence can answer.
Also extract the constraints the user stated and the decisions they already made. Never re-litigate a settled decision or re-derive an established fact.
Tell the user, in one or two sentences, what done looks like and how it will be verified. By shape:
How Claude Fable 5 worked, written down before it was gone. With the eval that keeps it honest.
Ensures configuration and code changes are released correctly. Use PROACTIVELY whenever you edit config.json, change any setting,…
Discuss a domain with the user, research it from real sources, then generate a trusted skill bundle for it - a step-by-step…
Adversarial verification of finished work. Treats any "done" as a set of claims, then re-runs the claimed verifications, diffs…
End-to-end orchestrated workflow that runs a task the way Fable ran sessions - parallel evidence subagents, one committed plan,…