The Fable Workflow: how Claude Fable 5 worked, distilled into four skills any model can run. Think (fable-method), act (fable-loop), prove (fable-judge), grow (fable-domain). Evidence-backed: ships its own eval, failures included.
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+5 13d agoA
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Analyze and enforce best practices for AI coding agent projects. Assess codebase readiness across 8 pillars with /readiness, then scaffold enforcement with /setup: TDD, secret scanning, file size limits, auto-generated docs, and git hooks.
★not rated 69
changed 9d agoA
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Give your CLAUDE.md / AGENTS.md a checkup: size vitals vs official guidance, dead references, drifted claims — plus a backtest of every rule against your own session history showing which rules get followed, ignored, or never used. Doctor-style HTML report with evidence-cited prescriptions. No CLAUDE.md yet? It mines…
★not rated 38 1mo agoA
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Rewrites or audits text so it reads plainly: answer first, no preamble, no hype adjectives, sentences short enough to read once. Applies a named ruleset plus ASD-STE100 Simplified Technical English.
★not rated 12 2mo agoA
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Scaffold, audit and migrate CLAUDE.md files from inside Claude Code: /claude-md-new builds one from battle-tested templates using your repo's real commands; /claude-md-audit grades an existing one and returns worst-first fixes; /claude-md-migrate rewrites a bloated file into the lean verified style.
★not rated 9 2mo agoA
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Generates a grounded, verified, two-tier agent context layer (lean CLAUDE.md + deep .ai/docs) for any codebase, plus report-only issue detection. 100% local, read-only.
★not rated 6 22d agoA
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originalMIT
Detects and fixes drift between a project's Claude artifacts (CLAUDE.md, skills, commands, agents, hooks/settings, and native/MCP memory) and the project's actual current reality: broken references, stale context, and legacy-narration framing that should read forward-looking.
★not rated 1 4mo agoA
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