EricTechPro

Leads Research — Testing skill for Claude Code

Testing community

Research every lead in a CSV into a reviewable leads-spec.md — per-lead dossier (who / fit verdict / drafted email), source-attributed, no email sent.

How to install Leads Research

Installs to ~/.claude/skills/erictechpro-lead-outreach-skills-leads-research/SKILL.md

Terminal
mkdir -p ~/.claude/skills/erictechpro-lead-outreach-skills-leads-research && curl -fsSL https://raw.githubusercontent.com/EricTechPro/lead-outreach-skills/HEAD/commands/leads-research.md -o ~/.claude/skills/erictechpro-lead-outreach-skills-leads-research/SKILL.md

Restart Claude Code, or start a new session, for it to be picked up.

What Leads Research does


description: Research every lead in a CSV into a reviewable leads-spec.md — per-lead dossier (who / fit verdict / drafted email), source-attributed, no email sent

Invoke the **leads-research** skill to research the leads.

What the user gave you (a path to a leads CSV, and optionally a campaign.md):

$ARGUMENTS

Follow the skill: read `campaign.md` for the goal, research each lead via the engine router (YouTube → vidiq/transcript, website → Firecrawl, gaps → web search), and write one s

Alternatives in Testing

  • Flow Spec — NLSpec authoring — use when you need a structured specification from multi-AI research and consensus 2.8k ★
  • Paperjury — Pre-submission AI review stress-test for research papers 1k ★
  • Mda — MDA Open Spec — a Markdown superset for agent-facing documents 615 ★

Full documentation available on GitHub

View Source Repository