lead-finder
Builds a ranked list of prospects worth contacting.
Reading sources and marking what holds up
What it does
Builds a ranked list of prospects worth contacting. Works out the owner's ideal customer profile from the customers they already have, finds look-alike companies and the right contact at each, enriches them with firmographics and buying signals, scores them, and delivers the list as an XLSX, with an offer to also create the records in the CRM.
Read more
Runs on Apollo when connected and falls back to web research plus an uploaded customer list when it isn't. Use this whenever the owner wants new prospects, a target list, or help finding customers — including phrasings like "who should I be calling," "find me more customers like my best ones," "build me a prospect list," "I need leads," "who else looks like Acme," or "help me find companies in this area that need what we do." Reach for it even when the owner describes the customer they want rather than asking for a list.
What it can touch
No script files in its folder
Its folder holds text, not programs. It changes how your AI works; it does not bring code of its own.
How we know
Listed the 6 files in the skill’s folder on GitHub; none is a script or program.
Lets your AI use some powerful tools without asking, while the skill is in use
While the skill is working, Claude Code will not ask before using these tools.
How we know
SKILL.md line 1: “allowed-tools: Read, WebFetch”. Read 2026-10-10, commit 95bdacc.
SKILL.md, line 1 ↗No serious risk pattern found
Launch7’s automated check read all 6 text files in this skill and matched none of its serious risk patterns. This is not a guarantee: a check like this can miss new or disguised tricks, and the author can change the files after the check.
How we know
Read 2026-10-10, commit 95bdacc by pipeline/trust/analyze.py — 40+ patterns for hidden text, prompt injection, downloads that run, credential access and more. It reads; it never runs the skill.
Recently maintained
Its repository has had changes recently.
How we know
Last push to anthropics/knowledge-work-plugins: 2026-10-10 (0 days before the scan).
Read automatically from the skill’s own files on GitHub on 10 Oct 2026. Launch7 does not run or manually review skills: this lists what the check saw, and nothing here means “safe”. How we check
Add it to your AI
Supported. Upload it once in Claude’s settings. Works on every plan, including Free.
Built in your browser from the SKILL.md on GitHub — nothing passes through Launch7.
In Claude, open Customize → Skills, press +, then Create skill → Upload a skill, and choose the .zip.
Make sure code execution is switched on (Settings → Capabilities). Skills need it.
Start a new chat and ask for the job in your own words — Claude picks the skill up when it fits.
How Claude does this: support.claude.com · checked 28 Sep 2026 · “Supported” means documented by the vendor; Launch7 has not run it end to end
More from anthropics
All from this publisher →- algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration.
- brand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel.
- canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy.
- claude-api
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.
- doc-coauthoring
Guide users through a structured workflow for co-authoring documentation.
