montecarlo-single-item
Skill31 starsChanged 50 days agoNo licenceView on GitHub
Previsione per UN singolo work item (card, ticket, storia, bug) — "quando sarà pronto questo item?". Usa la distribuzione storica dei cycle time (o lead time) e restituisce una Service Level Expectation con percentili 50/70/85/95, anche per un item già in corso. Non simula il throughput. Usala quando la domanda riguarda un solo item; per un gruppo/epic usa montecarlo-epic, per più gruppi in sequenza usa montecarlo-epics.
In this repository13 other files it gives its agents.
- AGENTS.mdAGENTS.md
- atddSkill
- bugfixSkill
- increment-reviewSkill
- legacy-testingSkill
- montecarlo-epicSkill
- montecarlo-epicsSkill
- new-featureSkill
- new-incrementSkill
- refactoringSkill
- spikeSkill
- tddSkill
- tweakSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.