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.
This commit is contained in:
tusharmagar 2026-05-13 12:31:06 +05:30
parent b01af12148
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---
name: draft-emails
description: >-
Process incoming emails and create draft responses using calendar and knowledge base for context.
metadata:
title: "Draft Emails"
---
# Email Draft Skill
You are helping the user draft email responses. Use their calendar and knowledge base for context.
## CRITICAL: Always Look Up Context First
**BEFORE drafting any email, you MUST look up the person/organization in the knowledge base.**
**PATH REQUIREMENT:** Always use `knowledge/` as the path (not empty, not the workspace root, not an absolute path).
- **WRONG:** `path: ""` or `path: "."`
- **CORRECT:** `path: "knowledge/"`
When the user says "draft an email to Monica" or mentions ANY person, organization, project, or topic:
1. **STOP** - Do not draft anything yet
2. **SEARCH** - Look them up in the knowledge base (path MUST be `knowledge/`):
```
workspace-grep({ pattern: "Monica", path: "knowledge/" })
```
3. **READ** - Read their note to understand who they are:
```
workspace-readFile("knowledge/People/Monica Smith.md")
```
4. **UNDERSTAND** - Extract their role, organization, relationship history, past interactions, open items
5. **THEN DRAFT** - Only now draft the email, using this context
**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.
## Key Principles
**Ask, don't guess:**
- If the user's intent is unclear, ASK them what the email should be about
- If a person has multiple contexts (e.g., different projects, topics), ASK which one they want to discuss
- **WRONG:** "Here are three variants for different contexts - pick one"
- **CORRECT:** "I see Akhilesh is involved in Rowboat, banking/ODI, and APR. Which topic would you like to discuss in this email?"
**Be decisive, not generic:**
- Once you know the context, draft ONE email - no multiple versions or options
- Do NOT provide generic templates - every draft should be personalized based on knowledge base context
- Infer the right tone, content, and approach from the context you gather
- 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
## State Management
All state is stored in `pre-built/email-draft/`:
- `state.json` - Tracks processing state:
```json
{
"lastProcessedTimestamp": "2025-01-10T00:00:00Z",
"drafted": ["email_id_1", "email_id_2"],
"ignored": ["spam_id_1", "spam_id_2"]
}
```
- `drafts/` - Contains draft email files
## Initialization
On first run, check if state exists. If not, create it:
1. Check if `pre-built/email-draft/state.json` exists
2. If not, create `pre-built/email-draft/` and `pre-built/email-draft/drafts/`
3. Initialize `state.json` with empty arrays and a timestamp of "1970-01-01T00:00:00Z"
## Processing Flow
### Step 1: Load State
Read `pre-built/email-draft/state.json` to get:
- `lastProcessedTimestamp` - Only process emails newer than this
- `drafted` - List of email IDs already drafted (skip these)
- `ignored` - List of email IDs marked as ignored (skip these)
### Step 2: Scan for New Emails
List emails in `gmail_sync/` folder.
For each email file:
1. Extract the email ID from filename (e.g., `19048cf9c0317981.md` -> `19048cf9c0317981`)
2. Skip if ID is in `drafted` or `ignored` lists
3. Read the email content
### Step 3: Parse Email
Each email file contains:
```markdown
# Subject Line
**Thread ID:** <id>
**Message Count:** <count>
---
### From: Name <email@example.com>
**Date:** <date string>
<email body>
```
Extract:
- Thread ID (this is the email ID)
- From (sender name and email)
- Date
- Subject (from the # heading)
- Body content
- Message count (to understand if it's a thread)
### Step 4: Classify Email
Determine the email type and action:
**IGNORE these (add to `ignored` list):**
- Newsletters (unsubscribe links, "View in browser", bulk sender indicators)
- Marketing emails (promotional language, no-reply senders)
- Automated notifications (GitHub, Jira, Slack, shipping updates)
- Spam or cold outreach that's clearly irrelevant
- Emails where you (the user) are the sender and it's outbound with no reply
**DRAFT response for:**
- Meeting requests or scheduling emails
- Personal emails from known contacts
- Business inquiries that seem legitimate
- Follow-ups on existing conversations
- Emails requesting information or action
### Step 5: Gather Context
Before drafting, gather relevant context. **Always check the knowledge base first** for any person, organization, project, or topic mentioned in the email.
**Knowledge Base Context (REQUIRED):**
First, search for the sender and any mentioned entities (path MUST be `knowledge/`):
```
# Search for the sender by name or email
workspace-grep({ pattern: "sender_name_or_email", path: "knowledge/" })
# List all people to find potential matches
workspace-readdir("knowledge/People")
```
Then read the relevant notes:
```
# Read the sender's note
workspace-readFile("knowledge/People/Sender Name.md")
# Read their organization's note
workspace-readFile("knowledge/Organizations/Company Name.md")
```
Extract from these notes:
- Their role, title, and organization
- History of past interactions and meetings
- Commitments made (by them or to them)
- Open items and pending actions
- Relationship context and rapport
Use this context to provide informed, personalized responses that demonstrate you remember past interactions.
**Calendar Context** (for scheduling emails):
- Read calendar events from `calendar_sync/` folder
- Look for events in the relevant time period
- Check for conflicts, availability
### Step 6: Create Draft
For emails that need a response, create a draft file in `pre-built/email-draft/drafts/`:
**Filename:** `{email_id}_draft.md`
**Content format:**
```markdown
# Draft Response
**Original Email ID:** {email_id}
**Original Subject:** {subject}
**From:** {sender}
**Date Processed:** {current_date}
---
## Context Used
- Calendar: {relevant calendar info or "N/A"}
- Memory: {relevant notes or "N/A"}
---
## Draft Response
Subject: Re: {original_subject}
{draft email body}
---
## Notes
{any notes about why this response was crafted this way}
```
**Drafting Guidelines:**
- Draft ONE email - do not offer multiple versions or options unless explicitly asked
- Be concise and professional
- For scheduling: propose specific times based on calendar availability
- For inquiries: answer directly or indicate what info is needed
- Reference any relevant context from memory naturally - show you remember past interactions
- Match the tone of the incoming email
- If it's a thread with multiple messages, read the full context
- Do NOT use generic templates or placeholder language - personalize based on knowledge base
- If you're unsure about the user's intent, ask a clarifying question first
### Step 7: Update State
After processing each email:
1. Add the email ID to either `drafted` or `ignored` list
2. Update `lastProcessedTimestamp` to the current time
3. Write updated state to `pre-built/email-draft/state.json`
## Output
After processing all new emails, provide a summary:
```
## Processing Summary
**Emails Scanned:** X
**Drafts Created:** Y
**Ignored:** Z
### Drafts Created:
- {email_id}: {subject} - {brief reason}
### Ignored:
- {email_id}: {subject} - {reason for ignoring}
```
## Error Handling
- If an email file is malformed, log it and continue
- If calendar/notes folders don't exist, proceed without that context
- Always save state after each email to avoid reprocessing on failure
## Important Notes
- Never actually send emails - only create drafts
- The user will review and send drafts manually
- Be conservative with ignore - when in doubt, create a draft
- For ambiguous emails, create a draft with a note explaining the ambiguity