# Reflect

Find connections between notes and update MOCs.

- Repository: https://github.com/agenticnotetaking/arscontexta (3518 stars)
- Category: Writing
- License: MIT
- Last updated: 2026-02-24
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add agenticnotetaking/arscontexta --skill reflect -g -a claude-code -y`
Codex: `npx skills add agenticnotetaking/arscontexta --skill reflect -g -a codex -y`
Cursor: `npx skills add agenticnotetaking/arscontexta --skill reflect -g -a cursor -y`
Gemini CLI: `npx skills add agenticnotetaking/arscontexta --skill reflect -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add agenticnotetaking/arscontexta`

## Description

Find connections between notes and update MOCs. Requires semantic judgment to identify genuine relationships. Use after /reduce creates notes, when exploring connections, or when a topic needs synthesis. Triggers on "/reflect", "/reflect [note]", "find connections", "update MOCs", "connect these notes".

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

## Runtime Configuration (Step 0, before any processing)

Read these files to configure domain-specific behavior:

1. **`ops/derivation-manifest.md`**, vocabulary mapping, platform hints
   - Use `vocabulary.notes` for the notes folder name
   - Use `vocabulary.note` / `vocabulary.note_plural` for note type references
   - Use `vocabulary.reflect` for the process verb in output
   - Use `vocabulary.topic_map` / `vocabulary.topic_map_plural` for MOC references
   - Use `vocabulary.cmd_reweave` for the next-phase suggestion
   - Use `vocabulary.inbox` for the inbox folder name

2. **`ops/config.yaml`**, processing depth, pipeline chaining
   - `processing.depth`: deep | standard | quick
   - `processing.chaining`: manual | suggested | automatic

If these files don't exist, use universal defaults.

**Processing depth adaptation:**

| Depth | Connection Behavior |
|-------|-------------------|
| deep | Full dual discovery (MOC + semantic search). Evaluate every candidate. Multiple passes. Synthesis opportunity detection. Bidirectional link evaluation for all connections. |
| standard | Dual discovery with top 5-10 candidates. Standard evaluation. Bidirectional check for strong connections only. |
| quick | Single pass, either MOC or semantic search. Accept obvious connections only. Skip synthesis detection. |

## EXECUTE NOW

**Target: $ARGUMENTS**

Parse immediately:
- If target contains `[[note name]]` or note name: find connections for that {vocabulary.note}
- If target contains `--handoff`: output RALPH HANDOFF block at end
- If target is empty: check for recently created {vocabulary.note_plural} or ask which {vocabulary.note}
- If target is "recent" or "new": find connections for all {vocabulary.note_plural} created today

**Execute these steps:**

The rest: https://github.com/agenticnotetaking/arscontexta/blob/HEAD/skill-sources/reflect/SKILL.md