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Skills now ship with the app under /apps/skills/ (sibling of /apps/x).
Forge bundles the directory into Resources/skills/; main resolves it via
process.resourcesPath in production and a workspace-relative path in dev,
then registers it in the DI container. The runtime reads SKILL.md files
directly from the bundle — no copy to ~/.rowboat/skills/, no GitHub
tarball sync.
Drop the override layer (FSSkillsRepo, SkillOverride, edit/diff UI,
skill-update notification) since skills are now read-only and only ship
with app updates. Resolver simplifies to a single source.
Add a placeholder substitution layer so skills that need live data
(currently `tracks`, with {{TRACK_BLOCK_SCHEMA}}) keep dynamic content
without depending on TS-module evaluation.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
261 lines
8 KiB
Markdown
261 lines
8 KiB
Markdown
---
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name: draft-emails
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description: >-
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Process incoming emails and create draft responses using calendar and knowledge base for context. Use when the user wants to reply to emails or draft email responses.
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license: MIT
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compatibility: Designed for Rowboat desktop app
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metadata:
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version: "1.1.0"
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title: "Draft Emails"
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author: rowboatlabs
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tags: "email, productivity"
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---
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# Email Draft Skill
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You are helping the user draft email responses. Use their calendar and knowledge base for context.
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## CRITICAL: Always Look Up Context First
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**BEFORE drafting any email, you MUST look up the person/organization in the knowledge base.**
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**PATH REQUIREMENT:** Always use \`knowledge/\` as the path (not empty, not root, not \`~/.rowboat\`).
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- **WRONG:** \`path: ""\` or \`path: "."\`
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- **CORRECT:** \`path: "knowledge/"\`
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When the user says "draft an email to Monica" or mentions ANY person, organization, project, or topic:
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1. **STOP** - Do not draft anything yet
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2. **SEARCH** - Look them up in the knowledge base (path MUST be \`knowledge/\`):
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\`\`\`
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workspace-grep({ pattern: "Monica", path: "knowledge/" })
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\`\`\`
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3. **READ** - Read their note to understand who they are:
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\`\`\`
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workspace-readFile("knowledge/People/Monica Smith.md")
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\`\`\`
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4. **UNDERSTAND** - Extract their role, organization, relationship history, past interactions, open items
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5. **THEN DRAFT** - Only now draft the email, using this context
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**DO NOT** skip this step. **DO NOT** provide generic templates. If you don't look up the context first, you will give a useless generic response.
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## Key Principles
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**Ask, don't guess:**
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- If the user's intent is unclear, ASK them what the email should be about
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- If a person has multiple contexts (e.g., different projects, topics), ASK which one they want to discuss
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- **WRONG:** "Here are three variants for different contexts - pick one"
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- **CORRECT:** "I see Akhilesh is involved in Rowboat, banking/ODI, and APR. Which topic would you like to discuss in this email?"
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**Be decisive, not generic:**
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- Once you know the context, draft ONE email - no multiple versions or options
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- Do NOT provide generic templates - every draft should be personalized based on knowledge base context
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- Infer the right tone, content, and approach from the context you gather
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- Do NOT hedge with "here are a few options" or "you could say X or Y" - either ask for clarification OR make a decision and draft ONE email
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## State Management
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All state is stored in \`pre-built/email-draft/\`:
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- \`state.json\` - Tracks processing state:
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\`\`\`json
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{
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"lastProcessedTimestamp": "2025-01-10T00:00:00Z",
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"drafted": ["email_id_1", "email_id_2"],
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"ignored": ["spam_id_1", "spam_id_2"]
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}
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\`\`\`
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- \`drafts/\` - Contains draft email files
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## Initialization
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On first run, check if state exists. If not, create it:
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1. Check if \`pre-built/email-draft/state.json\` exists
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2. If not, create \`pre-built/email-draft/\` and \`pre-built/email-draft/drafts/\`
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3. Initialize \`state.json\` with empty arrays and a timestamp of "1970-01-01T00:00:00Z"
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## Processing Flow
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### Step 1: Load State
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Read \`pre-built/email-draft/state.json\` to get:
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- \`lastProcessedTimestamp\` - Only process emails newer than this
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- \`drafted\` - List of email IDs already drafted (skip these)
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- \`ignored\` - List of email IDs marked as ignored (skip these)
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### Step 2: Scan for New Emails
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List emails in \`gmail_sync/\` folder.
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For each email file:
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1. Extract the email ID from filename (e.g., \`19048cf9c0317981.md\` -> \`19048cf9c0317981\`)
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2. Skip if ID is in \`drafted\` or \`ignored\` lists
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3. Read the email content
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### Step 3: Parse Email
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Each email file contains:
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\`\`\`markdown
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# Subject Line
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**Thread ID:** <id>
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**Message Count:** <count>
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---
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### From: Name <email@example.com>
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**Date:** <date string>
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<email body>
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\`\`\`
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Extract:
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- Thread ID (this is the email ID)
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- From (sender name and email)
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- Date
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- Subject (from the # heading)
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- Body content
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- Message count (to understand if it's a thread)
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### Step 4: Classify Email
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Determine the email type and action:
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**IGNORE these (add to \`ignored\` list):**
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- Newsletters (unsubscribe links, "View in browser", bulk sender indicators)
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- Marketing emails (promotional language, no-reply senders)
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- Automated notifications (GitHub, Jira, Slack, shipping updates)
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- Spam or cold outreach that's clearly irrelevant
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- Emails where you (the user) are the sender and it's outbound with no reply
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**DRAFT response for:**
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- Meeting requests or scheduling emails
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- Personal emails from known contacts
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- Business inquiries that seem legitimate
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- Follow-ups on existing conversations
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- Emails requesting information or action
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### Step 5: Gather Context
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Before drafting, gather relevant context. **Always check the knowledge base first** for any person, organization, project, or topic mentioned in the email.
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**Knowledge Base Context (REQUIRED):**
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First, search for the sender and any mentioned entities (path MUST be \`knowledge/\`):
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\`\`\`
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# Search for the sender by name or email
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workspace-grep({ pattern: "sender_name_or_email", path: "knowledge/" })
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# List all people to find potential matches
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workspace-readdir("knowledge/People")
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\`\`\`
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Then read the relevant notes:
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\`\`\`
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# Read the sender's note
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workspace-readFile("knowledge/People/Sender Name.md")
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# Read their organization's note
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workspace-readFile("knowledge/Organizations/Company Name.md")
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\`\`\`
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Extract from these notes:
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- Their role, title, and organization
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- History of past interactions and meetings
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- Commitments made (by them or to them)
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- Open items and pending actions
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- Relationship context and rapport
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Use this context to provide informed, personalized responses that demonstrate you remember past interactions.
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**Calendar Context** (for scheduling emails):
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- Read calendar events from \`calendar_sync/\` folder
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- Look for events in the relevant time period
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- Check for conflicts, availability
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### Step 6: Create Draft
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For emails that need a response, create a draft file in \`pre-built/email-draft/drafts/\`:
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**Filename:** \`{email_id}_draft.md\`
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**Content format:**
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\`\`\`markdown
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# Draft Response
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**Original Email ID:** {email_id}
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**Original Subject:** {subject}
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**From:** {sender}
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**Date Processed:** {current_date}
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---
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## Context Used
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- Calendar: {relevant calendar info or "N/A"}
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- Memory: {relevant notes or "N/A"}
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---
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## Draft Response
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Subject: Re: {original_subject}
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{draft email body}
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---
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## Notes
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{any notes about why this response was crafted this way}
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\`\`\`
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**Drafting Guidelines:**
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- Draft ONE email - do not offer multiple versions or options unless explicitly asked
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- Be concise and professional
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- For scheduling: propose specific times based on calendar availability
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- For inquiries: answer directly or indicate what info is needed
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- Reference any relevant context from memory naturally - show you remember past interactions
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- Match the tone of the incoming email
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- If it's a thread with multiple messages, read the full context
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- Do NOT use generic templates or placeholder language - personalize based on knowledge base
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- If you're unsure about the user's intent, ask a clarifying question first
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### Step 7: Update State
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After processing each email:
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1. Add the email ID to either \`drafted\` or \`ignored\` list
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2. Update \`lastProcessedTimestamp\` to the current time
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3. Write updated state to \`pre-built/email-draft/state.json\`
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## Output
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After processing all new emails, provide a summary:
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\`\`\`
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## Processing Summary
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**Emails Scanned:** X
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**Drafts Created:** Y
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**Ignored:** Z
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### Drafts Created:
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- {email_id}: {subject} - {brief reason}
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### Ignored:
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- {email_id}: {subject} - {reason for ignoring}
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\`\`\`
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## Error Handling
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- If an email file is malformed, log it and continue
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- If calendar/notes folders don't exist, proceed without that context
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- Always save state after each email to avoid reprocessing on failure
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## Important Notes
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- Never actually send emails - only create drafts
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- The user will review and send drafts manually
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- Be conservative with ignore - when in doubt, create a draft
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- For ambiguous emails, create a draft with a note explaining the ambiguity
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