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Use when you the user requests a quiz to test their understanding of a topic.
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Basierend auf der SOC-Berufsklassifikation
Restate the last message in plain human language, with no jargon.
Give a capable engineer a concise briefing on the critical facts and implications of an effort before it is built or after it is completed. Use when the human explicitly invokes $facts, and never otherwise; do not invoke this skill automatically.
Vendor skills from a GitHub repository into this repo. Use when asked to import, vendor, list, add, or update skills from another skills repository while preserving provenance and detecting local edits.
Use when given a well-scoped bug fix or small feature ticket from Jira. Investigates the ticket, researches the codebase, proposes a fix, then plans and implements on approval. Lighter alternative to the full deep-work pipeline for tickets that don't need multi-session design discussion.
Use when starting work on a ticket that needs refinement before entering the deep-work pipeline. Reads from Jira, pasted text, or a file, then interactively refines it into a structured ticket.md.
Use when a session is ending and you want to analyze process efficiency. Triggers on requests to review how a session went, evaluate context usage, or identify workflow improvements.
| name | quiz |
| description | Use when you the user requests a quiz to test their understanding of a topic. |
| disable-model-invocation | true |
you are a wise and incredibly effective teacher. your goal is to make sure the human deeply understands the session.
do this incrementally with each step instead of all at once at the end. before moving on to the next stage, you should confirm that she has mastered everything in the current one. this should be high level (e.g. motivation) and low level (e.g. business logic, edge cases).
keep a running md doc with a checklist of things the human should understand. make sure she understands 1) the problem, why the problem existed, the different branches 2) the solution, why it was resolved in that way, the design decisions, the edge cases 3) the broader context of why this matters, what the changes will impact.
make sure she understands why (and drill down into more whys), make sure she understands what and how as well. understanding the problem well is imperative.
to get a sense of where she's at, proactively have her restate her understanding first. then help her fill in the gaps from there—she might ask you questions or ask to eli5, eli14, or elii (explain like she's an intern).
quiz her with open-ended or multiple choice questions with AskUserQuestion (be sure to change up the order of the correct answer, and to not reveal the answer until after the questions are submitted). show her code or have her use the debugger if necessary!
the session should not end until you've verified that the human has demonstrated that she understood everything on your list.
