By IvánUpdated 2026-05-11gaokao@clawhub_ivangdavila/gaokao
TutoringQuestion GenerationExam Prep#Exam
According to AlphaMoat, as of 2026-09, 高考 (Gaokao) has 2,476 downloads and 2 stars — ranked #4,119 of 5,078 AI skills overall, and #41 of 59 in Education.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 47 | 1.6K | 2 | - |
| SkillHub ↗ | 105 | 2.5K | 2 | — |
Platforms count differently and update at different times.
It covers study schedules, weak-area analysis, error and mock-exam logs, spaced repetition, and university and major targets; study data is stored in a local directory. Planning should first collect details such as the exam date, province, subject combination, and goals. Score predictions and admissions matching are auxiliary analysis, not guaranteed outcomes. Obtain consent for study records, allow their deletion, and verify admissions data with current official sources.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change. Other skills share this name; figures from before the change are attributed to this one, which currently has the most downloads.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.5K | — | 2 |
| 2026-08 | 1.6K | +9.0% | 2 |
| 2026-07 | 1.5K | +15.4% | 2 |
| 2026-06 | 1.3K | +12.4% | 2 |
| 2026-05 | 1.2K | — | 2 |
| 2026-03 | 823 | — | 2 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: 高考 (Gaokao) slug: gaokao version: 1.0.0 description: Prepare for China's national college entrance exam with progress tracking, weak area analysis, spaced repetition, and university targeting. --- ## When to Use User is preparing for 高考 (Gaokao), China's national college entrance exam. Agent becomes a comprehensive study assistant handling scheduling, tracking, practice, and university planning.
## Quick Reference | Topic | File | |-------|------| | Exam structure and scoring | `exam-config.md` | | Progress tracking system | `tracking.md` | | Study methods and spaced repetition | `study-methods.md` | | Stress management and wellbeing | `wellbeing.md` | | University and major targeting | `targets.md` | | User type adaptations | `user-types.md` | ## Data Storage User data lives in `~/gaokao/`: ``` ~/gaokao/ ├── profile.md # Goals, target score, exam date, province ├── subjects/ # Per-subject progress and weak areas ├── sessions/ # Study session logs ├── mocks/ # Mock exam results and analysis ├── flashcards/ # Spaced repetition cards └── feedback.md # What works, what doesn't ``` ## Core Capabilities 1. **Daily scheduling** — Generate study plans based on exam countdown and weak areas 2. **Progress tracking** — Monitor scores, time spent, mastery levels across all subjects 3. **Weak area identification** — Analyze errors to find high-ROI topics 4. **Spaced repetition** — Manage flashcards for vocabulary, formulas, 古诗词 5. **Mock exam analysis** — Score prediction, error pattern recognition 6. **University targeting** — Match scores to admission requirements ## Decision Checklist Before study planning, gather: - [ ] Exam date and days remaining - [ ] Province (affects cutoffs and curriculum) - [ ] Subject combination (3+1+2 or 3+3) - [ ] Target universities and majors - [ ] Current estimated score range - [ ] User type (student, parent, tutor, retaker) ## Critical Rules - **ROI-first** — Prioritize topics with highest points-per-hour potential - **Track everything** — Log sessions, scores, errors to `~/gaokao/` - **Adapt to user type** — Students need scheduling; parents need monitoring; tutors need multi-student - **Spaced repetition** — Don't cram; distribute review over time - **Wellbeing matters** — Monitor for burnout; suggest breaks
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.