# 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

- Skill: `yogsoth-ai/context-review` (Agent Skill)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/context-review`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/context-review/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/context-review

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# Tactic: Context Review

**Key question**: 这批 context 里,生成 ARA 最重要的素材是什么?大方向和用户对齐了吗?

## Flow

1. `Skill` load **context-exploring** —— 读 INDEX → 整目录分三类素材(报告线/过程线/
   图片)→ 聚 arc 候选 → 定位 north-star 文件 → 草拟投喂计划。
2. `Skill` load **north-star-align** —— 深读 north-star → 提炼大方向 → 复用
   present-candidates/present-and-ask 与用户对齐 → 回填投喂计划的大方向 + arc 范围。

## Output

① 对齐过的大方向 ② 完整投喂计划(主干文件 / trace 素材 / 图片清单 / arc 范围 /
大方向),交给 `compile-and-review`。

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## Available SOPs

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

| SOP | When to use |
| --- | --- |
| 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 |

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