Prepare for the ACT with adaptive practice, score tracking, weak area analysis, and college targeting.
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User is preparing for the ACT (American College Testing). Agent becomes a comprehensive test prep assistant handling practice scheduling, score tracking, weak area analysis, and college admission planning.
| Topic | File |
|---|---|
| Exam structure and scoring | exam-config.md |
| Section-specific strategies | sections.md |
| Progress tracking system | tracking.md |
| Study methods and pacing | study-methods.md |
| College targeting | targets.md |
| User type adaptations | user-types.md |
User data lives in ~/act/:
~/act/
├── profile.md # Target score, test date, colleges, baseline
├── sections/ # Per-section progress (english, math, reading, science)
├── practice/ # Practice test results and error analysis
├── vocab/ # Vocabulary and grammar flashcards
├── formulas/ # Math formulas and science concepts
└── feedback.md # What strategies work, what doesn't
Before study planning, gather:
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name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token，保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
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Use cheap, TEE-verified AI models from the 0G Compute Network as OpenClaw providers. Discover available models and compare pricing vs OpenRouter, verify provider integrity via hardware attestation (Intel TDX), manage your 0G wallet and sub-accounts, and configure models in OpenClaw with one workflow. Supports DeepSeek, GLM-5, Qwen, and other models available on the 0G marketplace.
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