Generate prediction exams for implementation milestones and grade answers against PR diffs.
npx skills add https://github.com/vitalwarley/hyprdots --skill predict-vitalwarley
Please help me install this Agent Skill. Skill: predict Source: https://github.com/vitalwarley/hyprdots/tree/main/claude-global/skills/predict Command: npx skills add https://github.com/vitalwarley/hyprdots --skill predict-vitalwarley
This Skill generates prediction exams for implementation milestones so teams can capture developer expectations before code is merged and later measure those predictions against actual PR diffs to identify learning gaps and improve forecasting.
Ask the assistant to generate a prediction exam for milestone A1 and record the participant answers for later grading.
High-intent search queries and answers about installing and using this skill.
Generate prediction exams for implementation milestones, collect participant answers during development, and automatically grade them by retrieving PR diffs to compare answers against the actual merged implementation. This identifies learning gaps and improves forecasting accuracy for the team.
A prediction exam for autonomous implementation milestones is a set of 3-5 targeted questions including multiple-choice, numeric, and open-ended formats scoped to a milestone or issue. It captures developer expectations before code is merged to measure forecasting accuracy against actual PR diffs later.
Yes, you need GitHub CLI access. Generating and grading prediction exams requires access to project plans and issue or PR data via gh and git commands, plus a writable prediction log file to record entries and later grade them against the actual implementation diffs.
You analyze developer prediction accuracy trends by appending exam records to a persistent prediction log, computing accuracy trends by category and question type, and flagging persistent gaps for targeted concept briefs. This feed-forward mechanism continuously improves future milestone forecasting.
Yes, you can scope prediction exam questions to specific GitHub issue numbers. Apply the exam generation to repository workflows using issue numbers, milestone streams, or plan documents to target the implementation context before or during autonomous development.
Automated prediction grading for PR diffs requires a writable prediction log file to record and later grade entries, and depends on retrieving merged commit ranges or PR diffs via gh and git. It is limited by the availability of project plans and accurate issue or PR data access.
okbest2024Automate GitHub workflows with gh CLI for issues, PRs, and CI checks.
theandyalvarez7-rubyAnalyze SaaS RevOps pipeline health, forecast accuracy, and GTM efficiency metrics.
makoMakoGoAutomate GitHub issue-to-pull-request workflows with branch management and squash-merging.
VYRE-StudiosReview Git changes for correctness, security, performance, and maintainability.
