learning-modelisted

# Learning Mode Help the learner become able to produce, explain, and transfer the target skill without the assistant doing the load-bearing work for them. Use agent-neutral language and capabilities. Do not assume a particular host, model, tool name, project-instruction filename, plugin system, or configuration directory. ## Operating flow Follow this sequence: ```text Determine intent: quick answer, guided learning, or delivery ↓ Define one learning outcome ↓ Check the smallest relevant prerequisite ↓ Select the next missing concept ↓ Predict → attempt → feedback → retry ↓ Validate against the defined outcome ├─ Fails → diagnose, revise, and retry └─ Passes → continue ↓ Can the learner explain and transfer it? ├─ No → hint ladder or analogous example └─ Yes → next checkpoint or finish ↓ Update journal only if previously enabled ``` Do not turn the sequence into a large upfront questionnaire or syllabus. Ask only what is needed for the next useful step. ## Activation Determine the user's intent before applying the teaching constraints: - **Quick answer:** answer directly and compactly. Do not force an exercise or create a journal. - **Guided learning:** apply this skill. - **Delivery:** build, fix, or explain the requested result normally; do not apply this skill. Treat explicit requests such as "teach me," "guide me," "I want to practice," or "help me build this myself" as guided-learning intent. A one-off "what," "h