jjilli/fable-flow

Claude Code plugin: multi-agent shipping pipeline tuned for Claude Fable 5 — scouts, xhigh architect, parallel worktree implementers, Opus 4.8 review loop, bug iteration, pipeline memory

2Stars on the repository
16Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

build-patterns

01

jjilli/fable-flow

Skill Claude CodeCodex

Battle-tested engineering patterns and seam traps distilled from long multi-round fable-flow builds. Consult when planning tracks, implementing a track, or reviewing — especially for the recurring integration failure (tests green per track, broken where tracks or the live runtime meet), the reusable patterns that make…

2 1mo ago A 92 tokens original MIT

fable-prompting

02

jjilli/fable-flow

Skill Claude CodeCodex

Reference for prompting Claude Fable 5 — how Fable prompting differs from Opus/Sonnet-era prompting, effort-level selection, and the verbatim steering snippets. Use when writing or editing prompts, subagent definitions, or slash commands that target Fable 5, or when a Fable-driven pipeline misbehaves (overplanning…

2 1mo ago A 89 tokens original MIT

frontend-aesthetics

03

jjilli/fable-flow

Skill Claude CodeCodex

How to make frontends that look genuinely designed instead of generic "AI slop", and how to verify UI work the pipeline can't catch with a test suite. Load whenever a task builds or restyles a user-facing surface — a page, a component, a full redesign, a dashboard, a marketing site. Covers distinctive typography…

2 1mo ago A 100 tokens original MIT

grilling

04

jjilli/fable-flow

Skill Claude CodeCodex

Relentless, one-question-at-a-time interview that stress-tests a plan or design before any code is written. Invoke ONLY when the user explicitly asks for it — they say "grill me", "grill the plan", "grilling", or otherwise ask to be grilled / to pressure-test the design. Do NOT auto-invoke it for ordinary planning or…

2 1mo ago A 105 tokens original MIT