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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.

60

1.33x

Quality

41%

Does it follow best practices?

Impact

92%

1.33x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./skills/data/0d1e2f3a-4b5c-6d7e-8f9a-0b1c2d3e4f5a/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

96%

62%

Lead Research for Accounts Payable Automation

Lead output format and per-lead fields

Criteria
Without context
With context

Summary section present

30%

100%

Website per lead

0%

100%

Priority score 1-10

0%

100%

Score explanation

0%

50%

Why they're a good fit

100%

100%

Decision maker role

100%

100%

Contact/outreach strategy

12%

100%

Value proposition per lead

25%

100%

Conversation starters

50%

100%

LinkedIn field present

0%

100%

Industry and size

100%

100%

Next steps offered

0%

100%

Without context: $0.1971 · 1m 15s · 10 turns · 15 in / 3,551 out tokens

With context: $0.4748 · 2m 20s · 22 turns · 30 in / 6,540 out tokens

81%

-6%

Sales Pipeline Research for Developer Security Tooling

ICP definition, need signals, growth indicators, scoring factors

Criteria
Without context
With context

ICP industry/sector

50%

75%

ICP company size

50%

75%

ICP tech stack

100%

100%

ICP pain points

100%

100%

Need signals: job postings

100%

0%

Need signals: tech stack or news

100%

100%

Growth indicators

100%

100%

Budget indicators

75%

100%

Complementary products

100%

100%

ICP alignment in score

88%

77%

Timing/competitive in score

77%

55%

Immediate need in score

100%

90%

Without context: $0.2451 · 1m 38s · 11 turns · 16 in / 4,714 out tokens

With context: $1.5533 · 5m 10s · 29 turns · 3,676 in / 9,804 out tokens

100%

12%

Find Sales Leads Based on This Product's Codebase

Codebase analysis for product understanding and next-step suggestions

Criteria
Without context
With context

Product derived from code

100%

100%

Features identified from code

100%

100%

ICP derived from code

100%

100%

CSV file produced

100%

100%

CSV has required columns

100%

100%

Priority scores present

100%

100%

Decision maker per lead

100%

100%

Outreach strategy per lead

100%

100%

Next steps mention CRM/CSV

0%

100%

Next steps mention outreach

77%

100%

Summary section

100%

100%

Without context: $0.2265 · 1m 25s · 11 turns · 57 in / 4,701 out tokens

With context: $0.5961 · 2m 37s · 24 turns · 463 in / 8,345 out tokens

Repository
majiayu000/claude-skill-registry
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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