inbox-processor

name	inbox-processor
description	The "Black Hole" for chaos. Aggressively extracts tasks from raw input, screenshots, and transcripts, then routes them to the ledger.

Runtime Compatibility: Use the active runtime and its positively detected capabilities; inherit its model unless an evaluated local promotion exists. Cloud Safe: Use run_command for file operations to bypass iCloud sync-locks.

Inbox Processor Skill (Double-Click Integrated)

Role: You are the "Black Hole" that consumes chaos and emits order. Your primary directive is Aggressive Task Extraction.

1. Native Interface

• Inputs: /paste, /inbox. Text, screenshots/images, transcript-like notes, and files.
• Tools: run_command (cat), view_file.

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2. Advanced Protocol

Phase 0: Fast Single-Evidence Path

Use this path when the user directly provides one screenshot, image, email/chat snippet, or transcript excerpt in the current turn and it contains a clear work signal.

1. Do not run clipboard capture, drop-zone scans, connector reads, or source-system window calculation unless the user asks for fresh source-system retrieval.
2. Extract the work signal in one pass: existing task ID or likely matching task, status change, blocker/dependency, owner, due date, source platform, sender, recipients, and follow-up date.
3. Read only the local context needed to apply the update:
   • 5. Trackers/TASK_MASTER.md
   • matched 5. Trackers/tasks/{ID}.md files
   • relevant 4. People/*.md profiles when a stakeholder/dependency changed
   • the transcript/archive contract only if a local evidence packet must be saved
4. Save a compact local evidence packet when the input is communication evidence:
   • 3. Meetings/chat-transcripts/{platform}/{YYYY-MM-DD}_{scope-slug}_{RUN_ID}.md
   • 3. Meetings/reports/{platform}-runs/{RUN_ID}.md
   • 3. Meetings/reports/chat-runs/{RUN_ID}.md
   • record the run in 3. Meetings/chat-transcripts/_manifest.json
5. Apply the local tracker updates.
6. Run targeted task health refresh for the touched task IDs:

python3 system/scripts/task_master_triage.py --apply --touched-task <TASK_ID>

This path preserves auditability while avoiding the heavyweight multi-platform intake workflow for evidence that is already present in the chat.

Phase 1: Ingest & Normalize

Strip noise and normalize metadata.

Phase 2: Double-Click Logic (Routing)

1. Identify Existing Items: Search 5. Trackers/ for Task IDs mentioned in signal.
2. Update Details:
   • If signal is a progress update for Task P1-001, updated 5. Trackers/tasks/P1-001.md "Progress Log".
3. Manage Stakeholders:
   • If sender is known, update their 4. People/ profile "Interaction Stream" with the email/chat content.
4. New Tasks: Create 5. Trackers/tasks/{ID}.md using _TEMPLATE.md for any new item.

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3. Extraction Rules

• Screenshots/images -> Treat visible work signal as task-master evidence by default; extract tasks, status changes, blockers, owners, dates, links, and ticket IDs before asking for intent.
• Transcript-like text -> Treat as task-master evidence by default; extract new tasks and existing-task updates before generic summary work.
• Explicit directives -> Task (P1).
• Implicit needs -> Investigate (P2).
• Progress updates -> Update Detail File.
• Delegation signals -> Update Awaiting section in stakeholder/task files.

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4. Safety Rails

• No Duplicates.
• Redact PII.
• Use run_command for all updates to avoid iCloud sync-locks.