Biz Relationship Pulse

Scans your emails and LinkedIn to identify stalled commercial relationships and suggests prioritized contacts with tailored re-engagement lines.

Nico Lumma@rednix

Install

openclaw skills install @rednix/biz-relationship-pulse

Scope — existing relationships only

This skill re-ignites existing stalled conversations — people the user has previously spoken with and who have gone quiet. It is not for:

Cold outreach to people the user has never contacted
Lead generation or prospect acquisition
Mass outreach or automated sales sequences

Every contact surfaced must already exist in the user's communication history. The opening lines restart real conversations — they do not initiate new ones.

The difference from relationship-pulse

relationship-pulse — personal relationships. People you care about. Friendship maintenance. biz-relationship-pulse — commercial relationships. Deals, partnerships, door-openers, former clients. Revenue and opportunity.

Different detection logic. Different output. Different stakes.

File structure

text

biz-relationship-pulse/
  SKILL.md
  config.md          ← relationship types, sources, scoring weights, context
  pipeline.md        ← scored contact log, stall reasons, last action, status
  context.md         ← what you're working on now — used to match relevance

Token discipline: weekly cron reads only config.md + pipeline.md + context.md.

What counts as a stalled conversation

A conversation is stalled — not ended — when:

Recency signal:

Was actively exchanged (3+ messages back and forth) within the last 18 months
Then went quiet for 60+ days with no clean resolution
Last message was not a hard no or a natural close ("great working with you, take care")

Momentum signal:

The thread contained forward-looking language: "let's reconnect", "follow up next quarter", "send me more when you're ready", "timing isn't right but keep me posted"
A concrete next step was mentioned but never happened
One party went quiet mid-thread without a clear reason

Relationship type signal:

Was tagged or inferable as: prospect, partnership discussion, investor conversation, former client, connector/advisor

Recency of last contact:

Cold zone: 6-18 months (most re-ignitable — enough time has passed, not so long it's awkward)
Warm zone: 2-6 months (still recent enough, something clearly stalled)
Archive zone: 18+ months (surface only if context.md shows a specific reason to reconnect now)

Sources and what to extract

Gmail

Search sent + received threads with external contacts
Flag: threads with 3+ exchanges that went quiet
Extract: last message sender, last message content, any forward-looking language, implied next step
Note: who went quiet — did they stop replying, or did you?

LinkedIn (if connected via MCP)

Connection requests accepted but no follow-up conversation
Message threads that stalled
Profile views from people in your network — they looked you up recently, timing may be right
Recent job changes or company news for contacts in pipeline.md — a trigger to reach out

WhatsApp (if accessible via channel)

Business conversations that went quiet
Voice note conversations with no follow-up
Group chats with relevant contacts

context.md (internal)

What are you actively working on, selling, or building right now?
Who would be specifically relevant to current projects?
Any names or companies you want to prioritise?

Scoring model

Each candidate contact gets scored across five dimensions:

1. Momentum score (0-3)

3: had explicit next step that never happened, or they said "follow up in X weeks"
2: warm exchange that tapered off, no explicit close
1: light exchange, interest was implied but not stated
0: one-sided (only you reached out) or clearly ended naturally

2. Recency score (0-3)

3: stalled 2-6 months ago (warm zone)
2: stalled 6-12 months ago
1: stalled 12-18 months ago
0: stalled 18+ months ago (unless context.md gives specific reason)

3. Relationship value score (0-3)

3: former client or active deal prospect
2: partnership or collaboration discussion
2: investor or serious door-opener
1: connector or loose advisor conversation
0: unclear or low commercial relevance

4. Context relevance score (0-3)

3: directly relevant to what's in context.md right now
2: adjacent — would be useful but not primary
1: general network value
0: no clear current relevance

5. Re-ignition plausibility score (0-3)

3: there's a natural hook — their company is in the news, they changed roles, something relevant happened
2: time has passed cleanly — "it's been a while" is a natural opener
1: harder to re-open without it feeling like a delayed sales follow-up
0: would feel forced or inappropriate to reach out

Total: 0-15. Surface contacts scoring 8+. If fewer than 3 score 8+, lower threshold to 6+ for that week. Hard cap: surface maximum 5 contacts per week. Quality over quantity.

Setup flow

Step 1 — Connect sources

Confirm which sources are available:

Gmail: check if connected
LinkedIn MCP: check if connected
WhatsApp: check if accessible via channel

Note which are unavailable. The skill runs with whatever is connected — it doesn't fail on missing sources.

Step 2 — Build context.md

This is the most important setup step.

Ask the user: "What are you actively working on right now? What would make a re-connection commercially useful — are you fundraising, selling something, looking for partnerships, hiring, or something else?"

Also ask: "Are there any specific people or companies you've been meaning to reach out to but haven't?"

Write context.md:

# Current Context

## What I'm working on
[Description of current projects, sales focus, fundraising status, etc.]

## Relationship types to prioritise this quarter
[e.g. "investors for Series A", "enterprise clients in DACH", "marketing partnerships"]

## Specific people to watch for
[Names or companies — surface these even if score is below threshold]

## Relationship types to deprioritise
[e.g. "early-stage conversations that went nowhere", "irrelevant industries"]

Step 3 — Write config.md

# Biz Relationship Pulse Config

## Sources
gmail: true
linkedin: true
whatsapp: true

## Relationship types to track
prospects: true
partnerships: true
investors: true
former_clients: true
connectors: true

## Scoring thresholds
surface_above: 8
fallback_threshold: 6
max_per_week: 5

## Stall detection
cold_zone_months: 6-18
warm_zone_months: 2-6
archive_months: 18

## Delivery
channel: [CHANNEL]
to: [TARGET]
day: Monday
time: 08:30

Step 4 — Initial pipeline scan

On first run, do a full scan across all sources going back 18 months. Build pipeline.md with all candidates found. This first run will take longer — worth flagging to the user.

Step 5 — Register cron job

Weekly, Monday morning, isolated, lightContext.

json

{
  "name": "Biz Relationship Pulse",
  "schedule": { "kind": "cron", "expr": "30 8 * * 1", "tz": "<USER_TIMEZONE>" },
  "sessionTarget": "isolated",
  "wakeMode": "now",
  "payload": {
    "kind": "agentTurn",
    "message": "Run biz-relationship-pulse. Read {baseDir}/config.md, {baseDir}/pipeline.md, and {baseDir}/context.md. Scan connected sources (Gmail, LinkedIn, WhatsApp) for stalled commercial conversations. Score each candidate. Surface top 3-5 scoring 8+ (or 6+ if fewer qualify). For each: write a relationship brief and one specific re-opening message. Update pipeline.md. Deliver via configured channel.",
    "lightContext": true
  },
  "delivery": { "mode": "announce", "channel": "<CHANNEL>", "to": "<TARGET>", "bestEffort": true }
}

Runtime flow

1. Read config, pipeline, context

Load scoring preferences, what's been surfaced before, and current commercial priorities.

2. Scan sources

Gmail scan:

Search sent mail for external contacts going back 18 months
Find threads with 3+ exchanges that went quiet
Extract: last message date, last sender, any forward-looking language
Note: did you send last (they went quiet) or did they send last (you went quiet)?

LinkedIn scan (if connected):

Check message threads for stalled conversations
Check for recent profile views from pipeline contacts
Check for job changes or company news from pipeline contacts

WhatsApp scan (if accessible):

Check business-context conversations
Flag any threads with pending follow-ups

3. Score all candidates

Apply the five-dimension scoring model. Cross-reference context.md for relevance boost. Flag any names mentioned specifically in context.md — surface regardless of score.

4. Pick top 3-5

Select highest scoring contacts not surfaced in the last 4 weeks. Avoid surfacing the same person twice in a month.

5. For each contact — generate the brief

Section A: Who they are and what the relationship was

[NAME] — [Title] at [Company] Relationship type: [prospect / partner / investor / former client / connector] Last contact: [X months ago] via [Gmail / LinkedIn / WhatsApp]

[One sentence: what the conversation was about] [One sentence: where it stalled and why]

Section B: Why now

Score: [X/15] [The specific reason this person is worth re-igniting now — either a trigger event or a clean time-has-passed window]

Examples of good "why now":

"They changed roles 3 weeks ago — natural moment to reconnect"
"Their company just announced a funding round — relevant to what you're building"
"It's been exactly 6 months since they said 'follow up in Q2'"
"You're now working on [X from context.md] — directly relevant to what they were looking for"

If there's no specific trigger, say: "No recent trigger — but 8 months is a clean enough gap that re-opening won't feel like a delayed chase."

Section C: What to say

One specific opening line. Not a template. Written for this person, this context.

Rules:

References something specific from the conversation history — not generic
Does not feel like a sales follow-up
Has a reason to reach out that isn't "just checking in"
Short enough to send as-is or with minimal editing
Honest about the gap — don't pretend no time has passed

Good:

"Nico — it's been a while since we spoke about [X]. I've been thinking about our conversation re [specific thing they mentioned] — we've since [relevant development]. Worth a quick call to catch up?"

Bad:

"Hi [NAME], hope you're well! I wanted to reach out and reconnect. Are you free for a quick call?"

The opening line is the most important output. If it's generic, the skill has failed.

6. Update pipeline.md

# Pipeline

## [NAME] — [Company]
Type: [prospect / partner / investor / former client / connector]
First contact: [date]
Last contact: [date]
Last source: [Gmail / LinkedIn / WhatsApp]
Stall reason: [inferred — they went quiet / you went quiet / timing / no next step]
Score: [X/15]
Times surfaced: [N]
Last surfaced: [date]
Status: [monitoring / surfaced / reached out / re-engaged / archived]
Notes: [anything relevant from the conversation history]

Context updates

The skill improves the more context.md stays current.

When your situation changes — new project, new funding stage, new product — update context.md: /bizpulse context update "We just launched X and are looking for Y"

The next weekly run will re-score all pipeline contacts against the new context.

Management commands

/bizpulse now — run immediately
/bizpulse score [name] — see the score and reasoning for a specific contact
/bizpulse add [name] [context] — manually add someone to track
/bizpulse archive [name] — remove from active tracking
/bizpulse sent [name] — mark as reached out (pauses for 30 days)
/bizpulse reengaged [name] — mark as re-engaged (moves to active pipeline)
/bizpulse context update [text] — update current commercial context
/bizpulse history [name] — show full history for a contact
/bizpulse pipeline — show full scored pipeline

What makes it good

The opening line has to be specific. That's the whole product. Anyone can surface a list of cold contacts. The skill earns its place by writing the first sentence so you don't have to.

The scoring model distinguishes stalled from ended. A clean goodbye is not a stall. A "let's talk in Q2" that never happened is.

The context.md update loop is the compounding mechanism. A skill running against current priorities is 3x more useful than one running against stale ones.

The "who went quiet" signal matters. If you went quiet on them, the re-opening message is different than if they went quiet on you. The skill tracks this and the opening line reflects it.

Privacy rules

SOUL.md applies. Commercial relationships only. Never surface personal email threads in the business output. If a thread is ambiguous (personal friend who is also a business contact), default to not surfacing unless context.md explicitly includes them.

Names in output are fine — these are professional relationships. Do not include email addresses, phone numbers, or other contact details in the delivery. User already has these. The skill provides context and a message, not a contact dump.