linkt-outreach
Draft a LinkedIn connection message and post to Slack for manual sending. Use after /linkt-signals when user wants to reach out to a contact, or when user provides a LinkedIn URL and context for outreach.
Best use case
linkt-outreach is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Draft a LinkedIn connection message and post to Slack for manual sending. Use after /linkt-signals when user wants to reach out to a contact, or when user provides a LinkedIn URL and context for outreach.
Teams using linkt-outreach should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/linkt-outreach/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How linkt-outreach Compares
| Feature / Agent | linkt-outreach | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Draft a LinkedIn connection message and post to Slack for manual sending. Use after /linkt-signals when user wants to reach out to a contact, or when user provides a LinkedIn URL and context for outreach.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Linkt Outreach Skill Draft personalized LinkedIn connection requests and post to Slack for manual sending. ## Configuration **Slack Channel:** `#linkt-connections` (ID: `C0ACE4HJLBD`) ## Prerequisites This skill requires Slack MCP to be configured. See `docs/slack-setup.md` for setup instructions. ## Input Context This skill expects one of: 1. **From /linkt-signals:** Signal context, company info, and contact with LinkedIn URL 2. **Direct invocation:** User provides LinkedIn URL and optional context Required information: - Contact LinkedIn URL - Contact name and title - Company name Optional but helpful: - Signal summary (what triggered the outreach) - Company context (industry, what they do) - Shared interests or relevant talking points ## Workflow ### Step 0: Load User Context First, try to read `.claude/user-context.json` for personalization context. **If the file exists**, load the user context for use in message drafting: - Company name and description - User's role - Value proposition - Talking points - User's name (for sign-off) **If the file doesn't exist**, continue without user context. Messages will be more generic but still functional. Optionally mention: "Tip: Run `/linkt-init` to set up your profile for more personalized messages." ### Step 1: Gather Context If invoked directly (not from /linkt-signals), ask the user for: - LinkedIn profile URL - Why they want to connect (signal, shared interest, etc.) - Any specific talking points If context was passed from /linkt-signals, confirm the details: ``` **Outreach Context:** - Contact: [Name] ([Title]) - Company: [Company Name] - Signal: [Signal summary] - LinkedIn: [URL] Is this correct? (yes/edit) ``` ### Step 2: Draft Connection Message Craft a personalized LinkedIn connection request (max 200 characters for connection note). **Message Guidelines:** - Lead with relevance (the signal or shared interest) - Be specific about why you're reaching out - Keep it concise and professional - Avoid generic templates - Don't be salesy in the connection request **Personalization Rules (when user context is available):** If user context was loaded from `.claude/user-context.json`: 1. **Subtle company reference:** Mention user's company naturally when relevant to the signal. Don't force it. - Good: "At [Company], we help teams like yours with [relevant capability]" - Bad: "[Company] is the #1 solution for..." (too salesy) 2. **Value proposition:** Weave in the value proposition when it connects to the signal context. - If the signal is about AI initiatives and user helps with AI, mention the connection - If there's no natural fit, omit it entirely 3. **Talking points:** Use a talking point only if directly relevant to the contact's situation. - Recent funding → mention if discussing growth/scaling - Press coverage → mention if it relates to the signal topic - Don't shoehorn talking points where they don't fit 4. **Sign-off with name:** If user.name is set, end with "- [Name]" for a personal touch. 5. **Tone alignment:** Match the use_case: - sales → professional but warm, focus on mutual value - recruiting → friendly and opportunity-focused - partnerships → collaborative and strategic - networking → casual and interest-based **Message Template Structure:** ``` Hi [First Name], [1-2 sentences referencing the signal and why connecting would be valuable] [Optional: sign-off with user's name if available] ``` **Example Messages:** Without user context (generic): ``` Hi Sarah, Your recent article on AI transformation resonated with me. Would love to connect and exchange insights. ``` With user context (personalized): ``` Hi Sarah, Your article on AI in sales caught my attention - at Linkt, we help GTM teams discover prospects based on these signals. Would love to connect! - Jack ``` ### Step 3: Present Draft for Approval Show the drafted message to the user: ```markdown ## LinkedIn Connection Request **To:** [Name] ([Title]) at [Company] **Profile:** [LinkedIn URL] **Draft Message:** --- [Message content] --- Character count: [X]/200 **Actions:** - Type 'send' to post to Slack - Type 'edit' to modify the message - Type 'cancel' to abort ``` ### Step 4: Handle User Response **If 'edit':** Ask the user what they'd like to change, then redraft and present again. **If 'cancel':** Acknowledge and exit gracefully. **If 'send':** Proceed to Slack posting (Step 5). ### Step 5: Post to Slack for Manual Execution After user approves the draft, post to `#linkt-connections` (channel ID: `C0ACE4HJLBD`). Use `mcp__slack__slack_post_message` with `channel_id: "C0ACE4HJLBD"`. **Message format:** ``` 📬 *LinkedIn Connection Request* *To:* [Name] ([Title]) at [Company] *Profile:* [LinkedIn URL] *Signal:* [Signal summary] *Draft Message (200 char max):* > [Message content] _Copy the message above and send via LinkedIn._ ``` ### Step 6: Confirmation After posting to Slack: ```markdown **Posted to Slack!** - Channel: #linkt-connections - Contact: [Name] at [Company] - Signal: [Signal type] **Next steps:** 1. Open the LinkedIn profile: [URL] 2. Click "Connect" → "Add a note" 3. Paste the message from Slack 4. Send the connection request **Tip:** Follow up in 3-5 days if they accept the connection. ``` ## Safety Features 1. **Always show draft before posting** - User must approve the message 2. **Human executes the action** - Claude posts to Slack, human sends on LinkedIn 3. **Persistent record** - Slack provides audit trail of outreach 4. **No automation complexity** - Avoids browser automation issues ## Error Handling - **Slack not configured:** Provide manual instructions and suggest running `docs/slack-setup.md` - **LinkedIn URL invalid:** Ask user to verify the URL - **Channel not found:** List available channels and ask user to choose ## Character Limits - LinkedIn connection note: **200 characters max** - Keep messages under 180 characters to be safe - If message is too long, offer to trim it ## Do NOT - Post to Slack without user approval of the draft - Use generic/template messages without personalization - Mention specific product pitches in connection requests - Skip the confirmation step
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