prospect-discovery-pipeline
prospect-discovery-pipeline is a Prospecting & lead research skill for AI agents, published by Othmane-Khadri in the YALC-the-GTM-operating-system repository on GitHub. Skillspace rates prospect-discovery-pipeline D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when a teammate wants a full discovery-to-outreach pipeline anchored on existing clients. Triggers include "find prospects like [client]", "build a target list like [domain]", "lookalike discovery for [client]", "discovery to outreach for [criteria]", "10 companies similar to [X] with a CMO", or any multi-step request combining lookalike search + decision-maker identification + signal enrichment + LinkedIn variant drafting.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 259
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Pipeline built on PredictLeads and Crustdata paid data APIs
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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