lead-research-assistant
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
59
38%
Does it follow best practices?
Impact
95%
1.20xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./.trae/skills/lead-research-assistant/SKILL.mdEvaluation results
98%
45%Lead Research Report for Contract Intelligence Platform
Lead output format and per-lead fields
Summary section present
100%
100%
Total leads count in summary
100%
100%
High priority count in summary
0%
100%
Medium priority count in summary
0%
100%
Average fit score in summary
0%
100%
Website per lead
100%
100%
Priority score per lead
0%
75%
Industry and size per lead
100%
100%
Why good fit with specific reasons
100%
100%
Decision maker role per lead
100%
100%
LinkedIn URL per lead
0%
100%
Value proposition per lead
50%
100%
Conversation starters per lead
30%
100%
Outreach strategy per lead
30%
100%
100%
Finding the Right Customers for a Developer Observability Tool
ICP definition and lead signal research
ICP industries defined
100%
100%
ICP company size defined
100%
100%
ICP pain points defined
100%
100%
ICP technology requirements defined
100%
100%
Job posting signals used
100%
100%
Tech stack signals used
100%
100%
Recent news signals used
100%
100%
Growth indicators used
100%
100%
Budget indicators considered
100%
100%
Priority score per lead
100%
100%
ICP alignment justified per lead
100%
100%
Geographic preference addressed
100%
100%
89%
5%Outreach Playbook for Remote Work Infrastructure Tool
Personalized outreach strategy and next steps
Outreach strategy per company
100%
100%
Personalized pain point reference
100%
100%
Decision maker role specified
100%
100%
LinkedIn URL field
0%
100%
Specific conversation starters
80%
100%
Value proposition tailored per company
90%
100%
Next steps section present
100%
100%
CSV or CRM suggestion
62%
100%
Outreach message drafting offer
100%
25%
Follow-up research suggestion
75%
37%
Timing-based prioritization
100%
100%
Recent news or context used
100%
100%
- Repository
- Lingjie-chen/MT5
- Commit
3069d33
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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