القائمة
Roll the per-chain-type generators (AC/CoR/SC) into ONE callable that renders a chain sequence.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/sancovp/chaincompiler --skill big-generatorيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
WHAT: assemble a framework CHAPTER from the two rendered blog posts — run framework.assemble_chapter to copy Blog 1 + Blog 2 verbatim into a self-contained chapter dir, wire the relative cross-links + plugin/skill links + CTAs, and write the chapter.md manifest. WHEN: when Blog 1 + Blog 2 exist and need combining into the publishable chapter unit, or when the user says assemble a chapter / skill2framework (any of).
WHAT: produce Blog 2 of a framework CHAPTER — the mechanical deep-dive ('how it actually works') — for an already-built AIOS/package by reading its impl docs (README architecture sections, design docs, the code's module docstrings) and assembling a faithful mechanics-only article that links back to Blog 1. WHEN: when producing the deep-dive half of a chapter, when you need the technical how-it-works post Blog 1 links to, or when the user says blog 2 / deep dive / skill2framework (any of).
WHAT: the TERMINAL stage — fold a finished framework into the author's SkillTome (the top-level holder + search of all their frameworks) by running framework.fold_into_tome, which registers the framework as a row on a tome volume node's generated ## Frameworks table via skilltree's bind op. WHEN: when a framework package is finished and must be registered in the author's tome/volume, or when the user says fold into the tome / nomicon / skill2framework fold (any of).
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | big-generator |
| description | Roll the per-chain-type generators (AC/CoR/SC) into ONE callable that renders a chain sequence. |
Give a template-sequence of chains ((kind, spec), kind ∈ {ac, cor, sc}); get ONE callable that renders them into one prompt (a MetaStack of the chain blocks).
from prompt_engineering import big_generator
gen = big_generator([
('ac', {'foci': ['Symptom','Repro'], 'held': 'Localize'}),
('cor', {'name': 'Debugger', 'foci': ['Symptom','Repro'], 'held': 'RootCause', 'decision': 'the fix'}),
])
gen() # → the composed prompt