montecarlo-subgroup-prediction
montecarlo-subgroup-prediction is a Time series & forecasting skill for AI agents, published by divinevideo in the divine-mobile repository on GitHub. Skillspace rates montecarlo-subgroup-prediction D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Fix Monte Carlo project completion simulations that give identical dates for all sub-groups (milestones, priorities, epics). Use when: (1) All sub-group predictions converge to the same date despite different remaining counts, (2) Proportional throughput scaling produces flat/identical results, (3) Applying overall scope rate to individual sub-groups causes simulations to hit max_weeks cap and never converge, (4) Building project forecasting tools that predict completion for sub-groups of a larger backlog. Covers hypergeometric draw model for milestones and cumulative priority model for sequential priorities.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 257
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MPL-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. generic Monte Carlo project-forecasting algorithm fix
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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