Orchestrate learn, study, coding, checkpoint, and review phases with JSONL logging.
npx skills add https://github.com/joseph0926/study-all --skill routine
Please help me install this Agent Skill. Skill: routine Source: https://github.com/joseph0926/study-all/tree/main/.codex/skills/routine Command: npx skills add https://github.com/joseph0926/study-all --skill routine
The Skill coordinates the main learning pipeline (learn→study→coding→checkpoint→review) and supports project-mode when a project path is provided, enabling seamless orchestration of multi-phase learning workflows.
Begin a routine by selecting today's topic (and optional project-path), review recent activity, then start Phase 0 to initiate the session.
High-intent search queries and answers about installing and using this skill.
You orchestrate a multi-phase learning pipeline by coordinating learn, study, coding, checkpoint, and review phases. This workflow enforces JSONL session logging and context preservation to ensure auditable, reproducible sessions across long study runs.
Managing a project-based learning workflow involves using project mode via a project path argument. This enables context-aware routing and topic-specific exploration while displaying phase banners to track progression through the learning pipeline.
You start a routine learning session by selecting today's topic and an optional project path. After reviewing recent activity, you initiate Phase 0 to begin the session, which automatically logs your progress into a JSONL file for auditing.
Yes, the learning pipeline supports both skill mode and project mode. Skill mode handles topic-based exploration while project mode uses a specified project path, enabling context-aware routing for distinct learning and coding tasks.
Yes, you can use optional scripts for deterministic tasks within the learning pipeline. The workflow relies on source references and project sources, ensuring phase-by-phase progression while executing scripted tasks accurately.
Your learning workflow needs strict self-check rules to ensure phase-by-phase progression and an auditable history. Enforcing these rules across all phases guarantees that context is preserved and sessions remain reproducible.
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