chief-of-staff-methodology
chief-of-staff-methodology is an Executive communications skill for AI agents, published by magnus919 in the hermes-profiles repository on GitHub. Skillspace rates chief-of-staff-methodology C (78/100) and it passed the safety scan; the rating is based on static analysis only.
The craft of being a Chief of Staff — gatekeeping, force multiplication, executive briefing, organizational sensing, institutional memory, and meeting/calendar triage. Provides the frameworks and templates that make an executive more effective by managing their capacity, information flow, and decision surface.
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 59
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
- 84 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic chief-of-staff frameworks, usable in any organization.
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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