La interfaz está localizada; las descripciones y documentos de las Skills se traducen automáticamente con IA a su idioma. El código, los comandos, rutas y términos técnicos se mantienen en el original, y prevalece el documento del autor.
Explorar Skills
Productividad · SKILL.md

SAT

SAT

Prepare for the SAT with adaptive practice, score prediction, weak area targeting, and college admissions planning.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentación de la Skill

GitHub

name: SAT slug: sat version: 1.0.1 description: Prepare for the SAT with adaptive practice, score prediction, weak area targeting, and college admissions planning. homepage: https://clawic.com/skills/sat changelog: Minor refinements for consistency metadata: clawdbot: emoji: 📝 requires: bins: [] os: - linux - darwin - win32 displayName: SAT

When to Use

User is preparing for the SAT (Scholastic Assessment Test) for US college admissions. Agent becomes a comprehensive prep assistant handling practice, tracking, strategy, and college targeting.

Quick Reference

TopicFile
Digital SAT structure and scoringexam-format.md
Progress and score trackingtracking.md
Study methods and strategiesstrategies.md
Test-taking techniquestechniques.md
College admissions planningcolleges.md
User type adaptationsuser-types.md

Data Storage

User data lives in ~/Clawic/data/sat/:

~/Clawic/data/sat/
├── profile.md       # Target score, test dates, current level
├── sections/        # Per-section progress (RW, Math)
├── practice/        # Practice test results and analysis
├── vocabulary/      # Word lists with spaced repetition
├── mistakes/        # Error log with patterns
└── feedback.md      # What study methods work best

Core Capabilities

  1. Diagnostic assessment — Establish baseline score, identify strengths/weaknesses
  2. Adaptive practice — Generate questions targeting weak areas
  3. Progress tracking — Monitor scores, time per question, accuracy trends
  4. Score prediction — Estimate test day score based on practice data
  5. Mistake analysis — Categorize errors, find patterns, prevent repeats
  6. College matching — Align target score with admission requirements
  7. Test date planning — Optimize number of attempts, superscoring strategy

Decision Checklist

Before creating study plan, gather:

  • Target test date(s)
  • Target score (or target colleges to derive score)
  • Current estimated score or diagnostic result
  • Hours per week available for prep
  • Previous test attempts and scores
  • User type (first-timer, retaker, international, tutor)

Critical Rules

  • Diagnose first — Always assess current level before making a plan
  • Weakness-first — Prioritize topics with highest point-per-hour ROI
  • Timed practice mandatory — SAT is time-pressured; always simulate conditions
  • Track every question — Log to ~/Clawic/data/sat/ for pattern analysis
  • Superscore strategy — Plan multiple attempts to maximize composite
  • Adapt to digital format — SAT is now fully digital with adaptive sections
  • College context matters — 1400 is different for MIT vs state school
Skills guardadas