longform-discipline
🔌Plugindobachi/claude-skills-marketplace
Installation
/plugin marketplace add dobachi/claude-skills-marketplace/plugin install longform-discipline@dobachi-skills
|Guardrails and a minimal working loop for co-writing a LONG document with an AI — tens of thousands of characters to book length, including academic long-form. Long documents fail by drifting rather than by being written badly, so this skill targets the three measured decay axes (long input, long output, long session) with rules that hold across whatever other skill is running: never single-pass the whole document, carry a spine file (purpose, outline, glossary, style contract, claims) outside the context window, write sections sequentially with the previous section's tail loaded, repair the seams that decomposition provably creates, keep the outline revisable, and gate on a deterministic scan plus a specific human review list rather than AI self-scoring. Every rule traces to a cited finding, including the disagreements. Ships a stdlib-only drift_scan.py that reads the spine and enforces it, including an INTENT ledger (the exit condition written before the work, so a silent change of aim becomes visible) and CONTENT checks that ask whether the draft does what the spine said it would (claim coverage, unverified claims, terms used before definition, unsourced assertions), plus a content-review procedure for what needs meaning. Surface checks: declared style-contract and glossary violations, cross-section contradiction of typed facts (numbers, dates, versions, 可否) and a ledger-driven candidate list, 文体 mixing, over-long sentences, notation drift, cross-section duplication, and section-length collapse, with an optional SudachiPy backend for terminology drift. Bilingual JA/EN.
Part of
dobachi/claude-skills-marketplace
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