Campaign: ARA From Context

What this is: DARE 流水线最末端的"成文"环节。吃前面研究循环 (research ↔ experiment-execution 反复迭代)沉淀在 context/ 里的全部产物, 编译成一份 ARA(机器可执行的四层知识包),并做认识论审查。不写 LaTeX / 叙事论文 —— ARA 刻意反对 storytelling,要的是逻辑弧在结构上闭合。

Source of truth: 所有素材来自 context/。核心 = 末次 EE 的最终 report + 全程迭代轨迹 + 研究产出的图片。

Flow

1. Skill load context-review —— 回顾 context/,分三类素材,对齐大方向, 产出投喂计划。
2. Skill load compile-and-review —— 一次 inline 跑外部 compiler 得 ../ara/, 再跑 rigor-reviewer 得 level2_report.json。

External dependency

运行需 ARA 的 compiler + rigor-reviewer skill 在位 (npx @ara-commons/ara-skills)。见本 repo README。

Output

ara/(logic/ src/ trace/ evidence/ PAPER.md)+ ara/level2_report.json。

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

Tactic	When to use
compile-and-review	Tactic: Compile the feeding plan into an ARA via the external compiler, then run Level-2 rigor review over it
context-review	Tactic: Review a context/ directory — sort material into ARA types, locate and align the north-star, and produce a feeding plan for the compiler

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
ara-compile	SOP: Turn the feeding plan into the compiler's $ARGUMENTS and run the external ARA compiler once inline to produce ../ara/
ara-rigor-review	SOP: Run the external ARA rigor-reviewer (Seal Level 2, six-dimension semantic review) over ../ara/ and pass its level2_report.json to the user
context-exploring	SOP: Read context/INDEX.md and sort the whole directory into three ARA material types (report line, process line, images), locate the north-star file, and draft a feeding plan for the ARA compiler
north-star-align	SOP: Deep-read the original north-star context, distill this ARA's overall direction, and align it with the user via the reused present-and-ask / present-candidates dialogue SOPs