consolidate

Consolidate

Process your inbox and recent captures into your permanent knowledge base.

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Step 1: Survey the Inbox

List all files in [inbox_folder]/ (excluding .gitkeep). For each file:

• Read the title and first few lines
• Note the date and main topics

Report: ────────────────────────────────────────────────────────────── 📥 Consolidate — {N} inbox items ──────────────────────────────────────────────────────────────

1. {filename} — {brief description}, {N tasks} tasks
2. {filename} — {brief description}

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Step 2: Let User Choose Scope

AskUserQuestion:

• question: "Which items do you want to process?"
• header: "Consolidate Scope"
• multiSelect: false
• options:
  • label: "all", description: "Process all inbox items"
  • label: "last N days", description: "Process items from the last N days (specify N)"
  • label: "specific file", description: "Process a specific file (name it)"
  • label: "just review", description: "Review without moving anything"

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Step 2.5: Pre-classify (parallel)

Before processing, dispatch one Inbox Classifier agent (agents/inbox-classifier.md) per selected inbox note in parallel (run_in_background: false, mode: "bypassPermissions"). Pass each note's note_path, note_content, vault_root, knowledge_folder, resources_folder, areas_folder, and projects_folder. Wait for all results before proceeding to Step 3.

Store each result as the default routing recommendation for that note. If a classifier call fails or returns an empty result, proceed without a recommendation for that note.

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Step 3: Process Each Selected Item

For each item:

3a. Analyze

Read the file fully. Use the pre-classification from Step 2.5 as the starting point. Confirm or adjust based on your own reading:

• What type of knowledge this is (insight, reference, idea, project note, area)
• What existing notes it relates to (search via the search tools if available, otherwise Glob [knowledge_folder]/**/*.md, [resources_folder]/**/*.md, [projects_folder]/**/*.md, [areas_folder]/**/*.md). For search-tool results, only keep candidates with rerank_score ≥ 0.30 (prefer ≥ 0.60) — drop anything below 0.30.
• Whether it deserves its own note or should be merged into an existing one