outreach-research

Orchestrates a multi-agent pipeline that discovers, enriches, and scores prospective companies for outreach.

2|Updated Apr 4, 2026
One-click install
npx skills add https://github.com/DoctorMozg/claude-pipelines --skill outreach-research-doctormozg
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: outreach-research
Source: https://github.com/DoctorMozg/claude-pipelines/tree/main/plugins/mz-biz-outreach/skills/outreach-research
Command: npx skills add https://github.com/DoctorMozg/claude-pipelines --skill outreach-research-doctormozg

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Building a qualified lead list requires manually searching directories, checking reviews, finding contacts, and scoring prospects — a slow, error-prone process. This Skill automates the entire outreach research pipeline from strategy definition to an executive summary report. ## Core Features & Use Cases - Strategy with approval gate: An outreach-strategist agent defines the target profile, scoring weights, and source plan, which you must approve before any costly discovery fan-out runs. - Parallel discovery and enrichment: Scout agents pull companies from business directories, scanners gather reviews, and four parallel agents enrich each company with contacts, news, growth signals, and tech profile. - Scored dossiers and report: Every company gets a JSON record plus a human-readable dossier card, an intelligence score (0-100), and a final executive summary report. - Use Case: Ask to "find potential clients for our DevOps consulting in DACH region limit:20" and receive a deduplicated, scored list of 20 companies with per-company dossier cards and a summary report. ## Quick Start Ask the assistant to find potential client companies for your offering in a target region, optionally adding sector and limit filters, then approve the proposed strategy when prompted.

Frequently Asked Questions about outreach-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a B2B lead list with AI agents?▼

Invoke the skill with a goal like "find SaaS companies in Latin America sector:HR-tech limit:30". It defines a strategy, scouts business directories in parallel, enriches each company, scores leads, and writes dossier cards plus an executive report.

How do I filter company discovery by sector or region?▼

Add scope modifiers to your request: sector:<value> restricts the industry vertical, region:<value> restricts geography, and limit:<N> caps how many companies flow through the pipeline. Defaults are inferred from your goal text.

Can I resume an interrupted outreach research run?▼

Yes. The pipeline persists state to .mz/task/<task_name>/state.md with a phase field. On re-invocation with the same task name, it reads the state file and resumes from the next incomplete phase; all phases are idempotent.

What data sources does lead discovery use?▼

An outreach-source-researcher agent identifies business directories matching your target profile, then scout agents query them. Banned sources include scraped LinkedIn data, unverified aggregators, and AI-summarized listings.

When should I not use this lead generation pipeline?▼

Do not use it to draft outreach copy or messages, since it only researches targets. It is also the wrong tool for competitive analysis of a single named company, and it requires a defined outreach goal before running.

How are lead intelligence scores calculated?▼

Scores combine six weighted factors on a 0-100 scale: data completeness, review reputation, contact availability, growth signals, sector relevance, and outreach feasibility. Weights come from the approved strategy and must sum to 100.