# Linkt Signals

> Pull recent signals from Linkt and display contacts for outreach. Use when user wants to see business signals, find leads to contact, or prepare for LinkedIn outreach.

- Skill: `linkt-ai/linkt-signals` (Agent Skill)
- Install (CLI): `npx skillmds@latest add linkt-ai/linkt-signals`
- Raw SKILL.md: https://api.skillmd.com/api/skills/linkt-ai/linkt-signals/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: linkt-ai (https://skillmd.com/u/linkt-ai)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/linkt-ai/linkt-signals

---


# Linkt Signals Skill

Display recent business signals with associated company and contact information for sales outreach.

## Workflow

### Step 1: Fetch Recent Signals

Use `mcp__linkt__list_signals_v1_signal_get` to fetch signals:
- Default: last 30 days
- Page size: 10-20 signals
- Sort by: `detected_at` descending (most recent first)

If no signals found, inform the user they may need to:
1. Set up signal monitoring first (see `python/03_signals/signals_from_sheet.py`)
2. Wait for the monitoring run to complete
3. Check if the ICP has companies to monitor

### Step 2: Enrich with Entity Data

For each signal, get the associated entity (company) using `mcp__linkt__get_entity_v1_entity` with the signal's `entity_id`.

Key fields to extract from company entity:
- `data.name` - Company name
- `data.website` - Company website
- `data.industry` - Industry
- `data.employee_count` - Company size
- `data.description` - Company description

### Step 3: Get Contacts for Each Company

For companies with interesting signals, fetch associated contacts using `mcp__linkt__list_entities_v1_entity_get`:
- Filter by `entity_type: "person"`
- Filter by `icp_id` from the company's ICP

Key contact fields:
- `data.name` or `data.full_name` - Contact name
- `data.title` or `data.job_title` - Job title
- `data.linkedin_url` or `data.linkedin` - LinkedIn profile URL
- `data.email` - Email address (if available)

### Step 4: Present Results

Format output as follows:

```markdown
## Recent Signals (Last 30 Days)

### 1. [Company Name] - [Signal Type Display Name]
**Signal:** [Summary from signal]
**Strength:** [Strong/Moderate/Weak] | **Score:** [0.85] | **Detected:** [Date]
**Source:** [source_url if available]

**Company:** [Industry] | [Employee Count] employees
[Company description snippet]

**Contacts:**
- [Name] ([Title]) - [LinkedIn](url)
- [Name] ([Title]) - [LinkedIn](url)

---

### 2. [Next Company]...
```

### Step 5: Offer Outreach

After displaying signals, ask the user:

> Would you like to reach out to any of these contacts? Enter a number to select a contact, or type 'skip' to exit.

If user selects a contact, provide context for the `/linkt-outreach` skill:
- Signal summary and type
- Company name and context
- Contact name, title, and LinkedIn URL

## Signal Types

Common signal types to highlight:
- `AI Initiatives` - AI projects, ML implementations
- `AI Thought Leadership` - LinkedIn posts about AI
- `AI Job Postings` - Hiring for AI roles
- `funding` - Funding rounds
- `leadership_change` - New executives
- `hiring_surge` - Rapid hiring
- `product_launch` - New products
- `partnership` - Strategic partnerships
- `expansion` - Geographic or market expansion
- `acquisition` - M&A activity
- `layoff` - Workforce reductions
- `award` - Industry recognition
- `pivot` - Strategic direction change
- `regulatory` - Compliance/regulatory news
- `rfp` - Request for proposals
- `contract_renewal` - Contract renewals
- `infrastructure` - Technology investments
- `compliance` - Compliance updates

## Signal Score

Each signal has a `score` field (0.0-1.0) indicating relevance/priority:
- **0.8-1.0**: High priority signals - strong buying signals
- **0.5-0.79**: Medium priority - worth monitoring
- **0.0-0.49**: Lower priority - informational

Display the score alongside strength for prioritization.

## Error Handling

- If API returns no signals: Suggest setting up monitoring
- If entity fetch fails: Skip that signal, continue with others
- If no contacts found: Note "No contacts enriched yet" for that company

## Example Output

```markdown
## Recent AI Signals (Last 30 Days)

Found 3 signals across 2 companies.

---

### 1. TechCorp Inc - AI Thought Leadership
**Signal:** CEO published LinkedIn article on "How AI is Transforming Enterprise Sales"
**Strength:** Strong | **Score:** 0.92 | **Detected:** Jan 28, 2026
**Source:** [LinkedIn Post](https://linkedin.com/posts/...)

**Company:** Enterprise Software | 500-1000 employees
Leading provider of sales automation tools for mid-market companies.

**Contacts:**
1. Sarah Chen (VP of Sales) - [LinkedIn](https://linkedin.com/in/sarahchen)
2. Mike Johnson (Head of Partnerships) - [LinkedIn](https://linkedin.com/in/mikej)

---

### 2. DataFlow Systems - AI Job Postings
**Signal:** Posted 5 AI/ML engineering roles in the past week
**Strength:** Strong | **Score:** 0.88 | **Detected:** Jan 27, 2026

**Company:** Data Infrastructure | 200-500 employees
Cloud-native data platform for real-time analytics.

**Contacts:**
3. Alex Rivera (CTO) - [LinkedIn](https://linkedin.com/in/alexrivera)
4. Jordan Lee (VP Engineering) - [LinkedIn](https://linkedin.com/in/jordanlee)

---

**Select a contact for outreach (1-4) or 'skip':**
```