customer-success-management
customer-success-management is a Renewals, expansion & QBRs skill for AI agents, published by cbrock84 in the headcount repository on GitHub. Skillspace rates customer-success-management D (65/100) and it passed the safety scan; a judge model has also reviewed it.
Runs the ongoing relationship with accounts after the sale — segmenting coverage against account value, building a health score that predicts rather than describes, running reviews customers find worth attending, forecasting renewals honestly, and finding expansion that follows usage instead of quota. Use this to design a customer success motion, decide who gets a named contact, work out why renewals surprise you, or fix a health score everyone ignores.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 1,192
Placed #6 of 6 in the judged category final for Renewals, expansion & QBRs.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. generic customer-success methodology: segmentation, health scores, renewals
Judge review
Placed #6 of 6 in the judged category final for Renewals, expansion & QBRs.
- Trigger
80 80 - Instructions
70 70 - Specificity
75 75 - Safety
90 90 - Disclosure
78 78 - Maintenance
72 72
Sharp strategic judgment throughout, but it reads as a discursive playbook rather than an ordered, actionable procedure.
Not checked yet
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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