Email Smart Reply (AI-Powered)

AI-powered email reply generation for B2B sales. Analyzes incoming emails to detect intent (inquiry, delivery chase, complaint, technical question, partnership, spam), retrieves relevant knowledge base content, generates contextually appropriate draft replies, and routes low-confidence replies for human review via Discord. Use when you need to automate initial email response drafting for sales inquiries.

Jaden's built a claw@cjboy007

Install

openclaw skills install @cjboy007/email-smart-reply

email-smart-reply

Category: Email Automation
Status: Production-Ready
Version: 1.0.0
Created: 2026-03-24
Maintainer: WILSON + IRON

Description

Intelligent email auto-reply pipeline for B2B sales. Automatically classifies incoming emails by intent, retrieves relevant knowledge from your knowledge base, generates personalized reply drafts, and routes them through a Discord-based human review workflow before sending.

Pipeline: IMAP fetch → Intent Recognition → KB Retrieval → Reply Generation → Discord Review → SMTP Send

This skill is designed for B2B electronics manufacturing email workflows. It understands product lines (HDMI/DP/USB/LAN cables), customer intent categories specific to electronics manufacturing, and integrates with CRM data.

Core Modules

File	Purpose
`scripts/intent-recognition.js`	Classifies email intent via LLM (OpenRouter) with keyword fallback
`scripts/kb-retrieval.js`	Retrieves relevant knowledge from LanceDB + Obsidian vault
`scripts/reply-generation.js`	Generates personalized reply drafts using templates + KB context
`scripts/discord-review.js`	Pushes drafts to Discord for human approval before sending
`scripts/integration-test.js`	End-to-end pipeline test with `--dry-run` mode
`config/intent-schema.json`	Defines 6 intent categories with thresholds and behaviors
`config/discord-config.json`	Discord bot token and channel configuration

Intent Categories

Defined in config/intent-schema.json:

ID	English	Chinese	Priority	Auto-Draft	Fallback
`inquiry`	Product Inquiry	产品询价	high	✅	manual_review
`delivery-chase`	Delivery Follow-up	交期催促	high	✅	manual_review
`complaint`	Customer Complaint	客户投诉	urgent	❌	escalate_to_human
`technical`	Technical Support	技术支持	medium	✅	manual_review
`partnership`	Partnership/Collaboration	合作意向	high	✅	manual_review
`spam`	Spam/Promotional	垃圾邮件	low	❌	ignore

Confidence threshold: 0.75 (below this → needs_manual = true, no auto-draft sent)

Usage

Run Full Pipeline (Dry Run)

bash

cd $WORKSPACE/skills/email-smart-reply/scripts
node integration-test.js --dry-run --limit 5

Run Full Pipeline (Live - sends to Discord review)

bash

node integration-test.js --limit 10

Intent Recognition Only

javascript

const { recognizeIntent } = require('./scripts/intent-recognition');
const result = await recognizeIntent(emailText);
// Returns: { intent, confidence, method: 'llm'|'keyword' }

KB Retrieval Only

javascript

const { retrieveKB } = require('./scripts/kb-retrieval');
const results = await retrieveKB({ intent, emailText });
// Returns: { found, results: [{source, content}], queries }

Generate Reply Draft

javascript

const { generateReply } = require('./scripts/reply-generation');
const draft = await generateReply({ email, intentResult, kbResults });
// Returns: { draft_id, subject, body, needs_manual, reason } or null
// Draft saved to: $WORKSPACE/skills/imap-smtp-email/drafts/

Push to Discord Review

javascript

const { pushToDiscordReview } = require('./scripts/discord-review');
await pushToDiscordReview({ draft, email, intentResult });
// Sends embed with Approve/Edit/Discard buttons to #email-review channel

Discord Review CLI (manual actions)

bash

node scripts/discord-review.js test          # Send test embed
node scripts/discord-review.js approve <draft_id>
node scripts/discord-review.js discard <draft_id>

Draft ID Format

DRAFT-{timestamp}-{3-letter-prefix}

Intent	Prefix
inquiry	INQ
delivery-chase	DEL
complaint	COM
technical	TEC
partnership	PAR
spam	(filtered, no draft)

Dependencies

External Services

IMAP/SMTP: Configured email account via enterprise mail provider
OpenRouter API: LLM intent classification (API key in .env)
Discord Bot: Token + channel (configured in config/discord-config.json)

Local Skills/Tools

$WORKSPACE/skills/imap-smtp-email/ — IMAP/SMTP transport layer
$WORKSPACE/vector_store/okki_vector_search_v3.py — LanceDB vector search
$KB_PATH — Product knowledge base (Obsidian vault)

Node.js Packages

imap / nodemailer — email transport (inherited from imap-smtp-email skill)
node-fetch — OpenRouter API calls
discord.js — Discord bot integration

Configuration

`config/intent-schema.json`

Intent definitions, keywords (EN + ZH), confidence thresholds
Fallback behaviors per intent type
Global settings (multi-intent handling, language detection)

`config/discord-config.json`

bot_token: Discord bot token
channel_id: Target channel for review embeds (<your-discord-channel-id>)
review_timeout_minutes: Auto-discard timeout (default: 30)

Safety Guarantees

No blind sending: All drafts require human approval via Discord before SMTP send
Low confidence → manual: Confidence < 0.75 sets needs_manual=true, skips Discord push, queues for manual review
Complaint escalation: Complaint intent never auto-drafts; always escalates to human
Spam filtering: Spam intent immediately discarded, no draft created
Dry-run mode: --dry-run flag for safe testing without real sends or Discord posts
Fallback degradation: LLM unavailable → keyword matching; IMAP unavailable → sample emails

Development History

Task: task-001 | Phase: 1 | Iterations: 5 | Duration: ~2.5 hours

Iteration	Agent	What Was Built
1	IRON	Initial attempt (timed out at 300s — restructured to single-subtask iterations)
2	IRON	Steps 1-3: intent-schema.json, intent-recognition.js, kb-retrieval.js
3	IRON	Step 4: reply-generation.js (templates, escalation logic, draft file I/O)
4	IRON	Step 5: discord-review.js (Embed format, 3-button interaction, CLI fallback)
5	IRON	Step 6: integration-test.js (full pipeline, --dry-run, test-results/ output)

Key Design Decisions:

Single-subtask-per-iteration strategy after initial timeout failure
LLM → keyword cascade for intent recognition robustness
Discord embed review (not email approval) for fast human-in-the-loop UX
needs_manual flag as primary safety gate (not confidence threshold alone)
Reviews stored locally in reviews-pending/ as fallback if Discord is unavailable

Known Limitations (Phase 1):

Integration tests use sample emails (real IMAP auth was unavailable in test env)
LLM intent classification falls back to keyword matching (confidence ~0.4–0.6)
Discord live push not tested in dry-run (separately verified in Iteration 4)

Phase 2 Roadmap

Real IMAP testing — Run pipeline against actual incoming emails, measure intent accuracy
LLM availability — Ensure OpenRouter API accessible in production
Discord Bot permissions — Confirm bot has send access to #email-review channel
Cron job — Schedule integration-test.js every 30 minutes via cron
Manual queue monitoring — Alert when needs_manual backlog exceeds threshold

File Structure

text

email-smart-reply/
├── SKILL.md                    ← This file
├── README.md                   ← Quick start guide
├── scripts/
│   ├── intent-recognition.js   ← LLM + keyword intent classifier
│   ├── kb-retrieval.js         ← LanceDB + Obsidian knowledge retrieval
│   ├── reply-generation.js     ← Template-based reply drafts
│   ├── discord-review.js       ← Discord embed review workflow
│   └── integration-test.js     ← End-to-end pipeline runner
├── config/
│   ├── intent-schema.json      ← Intent categories and thresholds
│   └── discord-config.json     ← Discord bot configuration
└── drafts/                     ← Generated draft replies (gitignored)

Environment Variables

Create a .env file in the skill root:

bash

# LLM API
OPENROUTER_API_KEY=your-openrouter-api-key

# Knowledge Base Path (e.g. Obsidian vault)
KB_PATH=/path/to/your/knowledge-base

# Draft output directory
DRAFTS_DIR=./drafts

# Discord Review (optional)
DISCORD_BOT_TOKEN=your-discord-bot-token
DISCORD_REVIEW_CHANNEL_ID=your-channel-id

# IMAP (to read incoming emails)
IMAP_HOST=imap.your-provider.com
IMAP_PORT=993
IMAP_USER=your@email.com
IMAP_PASS=your-password

Source

This skill is a packaged, documented, reusable version of the email automation pipeline.

Email Smart Reply (AI-Powered)

Install

email-smart-reply

Description

Core Modules

Intent Categories

Usage

Run Full Pipeline (Dry Run)

Run Full Pipeline (Live - sends to Discord review)

Intent Recognition Only

KB Retrieval Only

Generate Reply Draft

Push to Discord Review

Discord Review CLI (manual actions)

Draft ID Format

Dependencies

External Services

Local Skills/Tools

Node.js Packages

Configuration

config/intent-schema.json

config/discord-config.json

Safety Guarantees

Development History

Phase 2 Roadmap

File Structure

Environment Variables

Source

Related skills

`config/intent-schema.json`

`config/discord-config.json`