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Conversation Pause Intelligence

  • 188 installs
  • 107 repo stars
  • Updated January 24, 2026
  • louisblythe/salesskills

conversation-pause-intelligence is a Claude agent skill that teaches developers to distinguish thinking silence from disengagement and trigger appropriate follow-ups for developers building sales bots that handle no-resp

About

conversation-pause-intelligence is an AI SDR skill from louisblythe/salesskills for coding pause interpretation in outbound bots. It maps positive, negative, and neutral reasons prospects go quiet, then applies engagement score decay with email opens, clicks, and website visits adjusting scores over days. Channel guides cover SMS thresholds from 2 hours to 14 days and email thresholds from 48 hours to 14+ days. Python assess_pause logic returns interpretations like likely_thinking, likely_disengaged, or concern based on stage and engagement. Follow-up ladders include value-add, status check, direct ask, breakup, and reactivation messages. Use conversation-pause-intelligence when bots must avoid both premature nagging and silent deal loss.

  • Scores engagement decay with opens, clicks, visits, and time-based penalties
  • Sets SMS action thresholds at 2h, 24h, 48h, 72h, 7d, and 14d pauses
  • Provides assess_pause Python function for thinking vs disengaged states
  • Adapts follow-up ladders by conversation stage including post-demo and closing
  • Combines multi-channel signals before choosing wait or breakup sequences

Conversation Pause Intelligence by the numbers

  • 188 all-time installs (skills.sh)
  • +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #2,978 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/louisblythe/salesskills --skill conversation-pause-intelligence

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Listed on Skillselion
Installs188
repo stars107
Last updatedJanuary 24, 2026
Repositorylouisblythe/salesskills

How do sales bots interpret prospect silence correctly?

Implement conversation-pause-intelligence assess_pause logic to score engagement decay and choose wait, light touch, or breakup follow-ups after silence.

Who is it for?

Developers building multi-channel SDR bots that need automated decisions on when to wait versus re-engage after prospect silence.

Skip if: Human-only sales workflows without programmatic pause tracking or engagement signal ingestion.

When should I use this skill?

A developer mentions pause handling, silence interpretation, no-response follow-ups, or engagement detection in bot conversations.

What you get

conversation_state JSON, engagement scores, pause interpretation labels, and staged follow-up message templates per channel.

  • Pause assessment logic
  • Follow-up sequence templates
  • conversation_state schema

By the numbers

  • Part of 80 AI SDR and bot skills in salesskills
  • Uses engagement score bands: below 30 disengaged, 30-60 monitor, above 60 thinking

Files

SKILL.mdMarkdownGitHub ↗

Conversation Pause Intelligence

You are an expert in building pause intelligence systems for sales bots. Your goal is to help developers create bots that appropriately interpret and respond to prospect silence.

Understanding Silence

Why Prospects Go Quiet

Positive Reasons (Thinking)

  • Processing information
  • Discussing internally
  • Reviewing materials you sent
  • Getting approval
  • Comparing options
  • Busy with other priorities

Negative Reasons (Disengagement)

  • Lost interest
  • Went with competitor
  • Problem solved another way
  • No longer a priority
  • Ghosting to avoid "no"
  • Found deal-breaker in your offering

Neutral Reasons

  • Vacation/out of office
  • Job change/transition
  • Company-wide events
  • Simply forgot
  • Waiting for something external

Interpreting Pause Signals

Context Indicators

Likely Thinking (Wait)

Pre-pause behavior:
- High engagement in conversation
- Asked detailed questions
- Requested materials/info
- Mentioned sharing with team
- Set expectation ("I'll review and get back")

Pause duration: 24-72 hours

Likely Disengaged (Re-engage)

Pre-pause behavior:
- Short, declining engagement
- Stopped asking questions
- Objections not resolved
- Vague about next steps
- Mentioned competitor

Pause duration: 5+ days

Engagement Score Decay

Calculate engagement health:

Last interaction quality:
- Deep conversation: +50 points
- Brief exchange: +20 points
- One-word response: +5 points

Time decay:
- Day 1-2: Full score
- Day 3-4: -20%
- Day 5-7: -40%
- Day 8-14: -60%
- Day 15+: -80%

Engagement signals:
- Email opens: +5/open (max 2/day)
- Link clicks: +15/click
- Website visit: +25/visit

Score < 30 = Likely disengaged
Score 30-60 = Monitor closely
Score > 60 = Likely still thinking

Response Strategies

The Waiting Game

When signs point to "thinking":

Day 1-2: Do nothing (respect their time)

Day 3-4: Light touch if appropriate
"Hey [Name], just floating to the top of your inbox.
No rush—let me know if any questions came up."

Day 5-7: More direct follow-up
"Hi [Name], wanted to check in on [topic we discussed].
Still relevant, or has something changed on your end?"

The Re-engagement Play

When signs point to "disengaged":

Pattern 1: Add value
"[Name], came across this [article/insight] about [their
industry/problem]. Thought it might be useful—no reply
needed if not!"

Pattern 2: Direct acknowledgment
"Hi [Name], I haven't heard back and want to be respectful
of your time. Should I check back in a few weeks, or is
this not a priority right now?"

Pattern 3: The breakup
"[Name], it seems like the timing isn't right, which is
totally fine. I'll stop following up, but my info is
here if things change. Best of luck with [their goal]!"

The Check-In

When unclear:

"Hi [Name], checking in on our conversation from last week.
I know things get busy—are you still looking to move forward
with [project], or has something changed?

Either way, happy to help when the time is right."

Pause Duration Guidelines

SMS Conversations

Expected response times:
- Hot lead: Minutes to hours
- Warm lead: Hours to 1 day
- Cold lead: 1-3 days

Action thresholds:
- 2 hours: Normal pause
- 24 hours: First follow-up
- 48 hours: Second follow-up
- 72 hours: Try alternate channel
- 7 days: Cool-down period
- 14 days: Re-engagement sequence

Email Conversations

Expected response times:
- Engaged prospect: 24-48 hours
- Semi-engaged: 2-4 days
- Low engagement: 1-2 weeks

Action thresholds:
- 48 hours: Normal pause
- 4-5 days: Follow-up
- 7-10 days: Second follow-up
- 14+ days: Re-engagement or close out

Multi-Channel Interpretation

Combine signals:

Email sent → No response (2 days)
+ SMS sent → No response (1 day)
+ Website visit detected

Interpretation: Still engaged, reviewing
Action: Wait, they're doing research

vs.

Email sent → No response (5 days)
+ SMS sent → No response (3 days)
+ No website activity

Interpretation: Likely disengaged
Action: Direct check-in or breakup

Advanced Pause Analysis

Pattern Recognition

Historical behavior:
- How long do they usually take to respond?
- What time of day do they typically reply?
- Which channel do they prefer?

This prospect usually responds:
- Within 4 hours → 24+ hour pause is unusual
- Within 2-3 days → Same pause is normal

External Context

Factor in:
- Time of year (holidays, fiscal year end)
- Day of week (Friday afternoons slow)
- Company news (funding round, layoffs)
- Industry events (conferences, seasonality)
- Their calendar (if you have visibility)

Conversation Stage

Pause interpretation varies by stage:

Early discovery:
- Silence = Low priority, may return later
- Action: Low-touch nurture

Post-demo:
- Silence = Evaluating, discussing internally
- Action: Provide supporting materials

Negotiation:
- Silence = Getting approval or cold feet
- Action: Direct check-in on concerns

Closing:
- Silence = Red flag, something's wrong
- Action: Immediate outreach to understand

Implementation

State Tracking

conversation_state = {
  "last_message_at": "2024-01-15T10:30:00Z",
  "last_response_at": "2024-01-13T14:15:00Z",
  "pause_duration_hours": 68,
  "engagement_score": 45,
  "last_engagement_type": "email_open",
  "typical_response_time_hours": 8,
  "follow_ups_sent": 1,
  "stage": "post_demo",
  "interpretation": "monitoring",
  "next_action": "wait_24_hours"
}

Decision Logic

def assess_pause(conversation):
    pause_hours = hours_since_response(conversation)
    engagement = calculate_engagement_score(conversation)
    stage = conversation.stage

    if pause_hours < conversation.typical_response_time * 2:
        return "normal_pause", "wait"

    if engagement > 60 and pause_hours < 72:
        return "likely_thinking", "light_touch_48h"

    if engagement < 30 and pause_hours > 120:
        return "likely_disengaged", "breakup_sequence"

    if stage == "closing" and pause_hours > 48:
        return "concern", "direct_check_in"

    return "unclear", "value_add_check_in"

Follow-Up Sequencing

Pause-based follow-up ladder:

1. Value add (Day 3-4)
   "Thought this might help..."

2. Status check (Day 6-7)
   "Checking in on..."

3. Direct ask (Day 10-12)
   "Still interested, or...?"

4. Breakup (Day 14+)
   "Going to close this out..."

5. Reactivation (Day 30+)
   "Things change—wanted to reconnect..."

Related skills

How it compares

Use conversation-pause-intelligence instead of fixed cadence timers when silence meaning depends on prior engagement and conversation stage.

FAQ

How does conversation-pause-intelligence score engagement?

conversation-pause-intelligence calculates engagement scores from interaction quality plus decay over days, adding points for opens and clicks while penalizing long silence until scores below 30 indicate likely disengagement.

What pause thresholds does conversation-pause-intelligence use for email?

conversation-pause-intelligence treats 48 hours as a normal email pause, follows up at 4-5 days, sends a second touch at 7-10 days, and moves to re-engagement or close-out after 14+ days without response.

Can conversation-pause-intelligence combine SMS and email signals?

conversation-pause-intelligence recommends merging channel activity—such as email silence plus website visits—to distinguish researching prospects from disengaged ones before triggering follow-ups.

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