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feat(skills): single-source skill system with markdown SKILL.md + include directive
Skills move out of packages/core/src/application/assistant/skills/*/skill.ts
(TS string constants) into apps/skills/<id>/SKILL.md (Agent Skills spec format
— YAML frontmatter + markdown body). One directory, one loader, one place to
look at every skill the agent can load.
Key change vs the old dev system: a `{{include:<skill-id>}}` directive lets one
skill transclude another. This removes the parallel TS constant for the
knowledge-note style guide — it now lives at apps/skills/knowledge-note-style/
(hidden from catalog) and is pulled into doc-collab + the live-note and
background-task agents via the resolver instead of via a TS import.
Infrastructure:
- packages/core/src/skills/ — types, skill-md-parser, FS-backed official repo,
SkillResolver with recursive {{include:<id>}} expansion + cycle detection
- packages/shared/src/skill.ts — SkillFrontmatter, SkillCatalogEntry,
ResolvedSkill schemas
- DI: officialSkillsRepo + skillResolver registered; registerSkillsDir helper
wires the path before any consumer resolves
- IPC: skills:list / skills:get (read-only) for the Settings UI
- Main: resolveSkillsDir picks Resources/skills (packaged) or repo apps/skills
(dev). forge.config.cjs ships apps/skills/ as extraResource.
Consumer refactor:
- buildCopilotInstructions: catalog markdown built from resolver.getCatalog()
- builtin-tools: loadSkill uses resolver, new listSkills tool
- background-tasks/agent + live-note/agent: now async builders that load
the knowledge-note-style skill content via resolver
- runtime.loadAgent: awaits the now-async builders
- Deleted: assistant/skills/ directory, knowledge-note-style.ts
UI:
- New SkillsSettings component (read-only list + detail view) wired into
Settings dialog as the "Skills" tab.
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apps/skills/draft-emails/SKILL.md
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apps/skills/draft-emails/SKILL.md
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---
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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.
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metadata:
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title: "Draft Emails"
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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 the workspace root, not an absolute path).
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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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