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jeffrschneider

pain-point-detection

by jeffrschneider

Focused on a consistent API across multiple Agent Harnesses like Claude Code, Langchain Deep Agents, Letta, Goose and more.

0🍴 0📅 Jan 23, 2026

SKILL.md


name: pain-point-detection description: Identifying buying signals and pain points from public information including job postings, reviews, news, and social media. Triggers when analyzing prospect readiness or searching for opportunities.

Pain Point Detection

Overview

This skill teaches how to identify buying signals and pain points from publicly available information. It covers signal taxonomy, interpretation, and how to translate signals into conversation angles.

Usage

The company-researcher sub-agent references this skill when:

  • Analyzing job postings for scaling signals
  • Reviewing Glassdoor/review site content
  • Interpreting news and announcements
  • Detecting competitive pressure

Signal Categories

High-Intent Signals (Act Now)

SignalSourceInterpretation
Relevant job postingLinkedIn, careers pageActive need in your domain
RFP/vendor reviewIndustry sourcesFormal buying process
Budget cycle timingIndustry knowledgeDecision window open
Contract expirationCRM data, researchReplacement opportunity

Medium-Intent Signals (Engage Soon)

SignalSourceInterpretation
Funding announcementNews, CrunchbaseBudget likely available
Leadership changeLinkedIn, newsNew priorities possible
Expansion newsPress releasesGrowth = new needs
Competitor mentionSocial, reviewsConsidering alternatives

Low-Intent Signals (Nurture)

SignalSourceInterpretation
Industry conferenceEvent listingsEducating themselves
Content engagementSocial mediaInterest in topic
General hiringJob boardsCompany growing

Detection Techniques

Job Posting Analysis

What to look for:

  • Roles in your domain (suggests need)
  • Seniority level (indicates priority)
  • Number of similar postings (scale of need)
  • Tech requirements (compatibility)

Example:

"Seeking 3 Data Operations Managers" = scaling ops team, likely overwhelmed

Review Site Analysis

Glassdoor patterns:

  • "Fast-paced" / "scaling quickly" = growing pains
  • "Tool sprawl" / "disconnected systems" = integration need
  • "Manual processes" = automation opportunity
  • "Communication issues" = collaboration tools

News Analysis

Positive signals:

  • Funding (Series B+ especially)
  • Expansion to new markets
  • Large customer wins
  • Strategic partnerships

Timing signals:

  • Q4 budget planning mentions
  • "2024 priorities" articles
  • Annual report releases

Resources

  • resources/signal-taxonomy.md - Complete signal classification
  • resources/job-posting-signals.md - Job posting interpretation guide
  • resources/review-sentiment-signals.md - Review site analysis guide

Score

Total Score

60/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

0/10
説明文

100文字以上の説明がある

+10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

Reviews

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Reviews coming soon