Skip to content
Content
Skill

/exam-help

备考教练的一屏速查卡:工作流、3×4 学习选择、产物偏好、工作区文件、6 大题型、来源规则与子技能路由。 用户问怎么用、有哪些模式、文件用途或支持题型时使用。

From plugin
universal-examprep-skill
26610 skills
Install
$ npx -y skills add ZeKaiNie/universal-examprep-skill --skill exam-help --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/exam-help

Context preview

The summary Claude sees to decide when to auto-load this skill.

备考教练的一屏速查卡:工作流、3×4 学习选择、产物偏好、工作区文件、6 大题型、来源规则与子技能路由。 用户问怎么用、有哪些模式、文件用途或支持题型时使用。

SKILL.md

exam-help.SKILL.md
name: exam-help
description: >
  备考教练的一屏速查卡:工作流、3×4 学习选择、产物偏好、工作区文件、6 大题型、来源规则与子技能路由。
  用户问怎么用、有哪些模式、文件用途或支持题型时使用。
license: MIT

exam-help — quick-reference card

Purpose

Render one read-only card covering the validated workflow, three modes, four time tiers, `lightweight|full`, `chat|visual`, workspace truth/views, six quiz types, provenance, and subskill routing.

Activation

Use only when the student asks how the suite works, which modes/types exist, or what workspace files mean.

Inputs

No files, arguments, or state reads. The caller supplies the selected language.

Workflow

1. Emit the matching static language-pack card: persisted `zh`, `en`, or `bilingual`, otherwise an explicit ad-hoc request. 2. Read no wiki, bank, plan, progress, or workspace file; run no script/subskill. 3. Stop without tutoring, quizzing, ingesting, grading, or initialization.

The card must say:

  • `processing_mode=lightweight` is the default/recommended startup choice. It

inventories names, then visually processes only the current-phase PDF pages or definitely single-frame PNG/JPEG/BMP (maximum eight primary pages and one active batch). Overview contact sheets group at most four pages at roughly 768 px/tile; page/prompt/dependency detail and target-answer-only solution calls use source-qualified locations and canonical PNG evidence under `.lightweight/assets/`. Bind exact external answer pages with `register-answer-dependency`; dependency pages are locator/detail only. Figure prompt/answer crops stay distinct. An unfinished batch can close only through receipt-backed `abandon --reason`; taught progress cannot be abandoned, while `replace-taught --reason` preserves it as superseded history and plans an exact-slice successor. It keeps the page-batch / progress state machines and creates no Study Guide/PDF. `processing_mode=full` is explicit opt-in and opens the complete ingestion/review route. Input-token savings never shorten the teaching explanation.

  • `artifact_mode` is independent from processing intensity and never inferred from

subscription. Missing/legacy/unknown means `chat`. In full mode, `chat` stops without PDF while standing `visual` additionally requires typed Guide, render, receipt hashes, every-page QA, and `artifact_ready=ready`. A one-shot artifact leaves stored state unchanged. In lightweight, a saved `visual` preference is dormant and effective output remains `chat`; it never builds a Study Guide.

  • `answer_explanation_mode` is also independent. Its stored-schema fallback is

`ordinary`, and every full-Guide item still gets a detailed beginner-first explanation. At full-v2 Guide entry, a verified host-native child with a fresh independent context plus exact single-item input/tool restrictions makes `isolated` the default unless the learner opted out; tell the learner once about extra host quota/time, with no second API key or external upload. Missing or incomplete capability stays `ordinary` and is stated honestly. A separately billed external Provider is explicit-request-only and retains no-upload planning, current pricing/privacy disclosure, and exact-plan upload consent. A model name, subscription, key, `full`, or `visual` alone proves neither route.

  • `ingest_course.py` is the full-mode build entry; exit 10 is process success with

blocked readiness, and teaching remains forbidden. `.ingest/` is full-mode build/review truth, `.lightweight/session.json` is on-demand page-batch truth, `study_state.json` is progress truth, and Markdown is a generated view.

  • Lightweight completion uses current-phase taught-batch/notebook events and skips

typed Guide/full-build evidence; superseded predecessors/events remain history but leave the current denominator. `verified` needs revision-bound checkpoints from an unchanged bank that pre-existed lightweight initialization; startup captures only its immutable stat baseline. Routine health checks use metadata/physical identity, not stream hashes; exact hashes occur at transitions/completion or explicit `status --verify-live`. Older taught history is `unchecked_historical` until that phase is resumed.

  • MinerU, Docling, and LangGraph are named-request-only and remote/cloud-only. Never

download, install, probe, import, or execute them locally.

  • Provenance is exact: 🟢 来自资料 / 🟡 AI补充,可能与你老师讲的不完全一致 / ⚠️ AI生成答案,非老师/教材提供.

Output Contract

Output exactly one help card and mutate nothing. Student prose is English by default, Simplified Chinese for a Chinese opening, or explicit bilingual composition.

Language packs

  • `中文` → [`../../locales/zh/skills/exam-help.md`](../../locales/zh/skills/exam-help.md)
  • `English` → [`../../locales/en/skills/exam-help.md`](../../locales/en/skills/exam-help.md)
  • `双语` → compose both blockwise, zh then `> EN:`, under [`docs/language-policy.md`](../../docs/language-policy.md)

Display aliases are normalized to `zh`, `en`, or `bilingual`.

Boundaries

This card is read-only. Route actual review to `exam-cram`.

Read more
Ships withuniversal-examprep-skill

Turn your slides, homework, and past papers into a source-aware tutor that remembers your progress.

Get the whole plugin
Stats
266
Stars
15
Forks
Active
Maintenance
Python
Language
MIT
License
22d ago
Last commit
1mo ago
Created

Repo: ZeKaiNie/universal-examprep-skill

Other skills on universal-examprep-skill.