# Build Adaptive Learning Series in Chinese

Fixed courses can miss your existing knowledge and leave unclear concepts unresolved. This skill creates Chinese lesson sequences and adjusts later articles using your feedback.

## Install

```bash
npx skillstore add dontbesilent2025/dbs-learning
```

## Metadata

- Status: approved
- Slug: dontbesilent2025-dbs-learning
- Skillstore revision: r1
- Version status: missing
- Tree hash: b4c903c5763579689bfcec0ddeef6a7366edcd41c601625ef883b1167e79bcc4
- Author: dontbesilent2025
- GitHub username: dontbesilent2025
- License: MIT
- Repository: https://github.com/dontbesilent2025/dbskill/tree/bab93c0376ced995c30cb841cb0d12622a430bcc/skills/dbs-learning
- Ref: 78c49d5fd3c1c18e192d72b94bcc640f84ac1174
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands
- Quality score: 77
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/dontbesilent2025-dbs-learning
- Manifest: https://skillstore.pages.dev/api/skills/dontbesilent2025-dbs-learning/manifest

## Capabilities

- Create a topic directory, learning plan, numbered Markdown lessons, and an assets directory.
- Offer project-based, beginner, or specified-material learning modes when relevant project evidence exists.
- Summarize candidate knowledge from a small set of relevant project materials without treating every document as proof of understanding.
- Extract learner-written feedback while excluding default template questions.
- Adjust lesson depth, examples, pace, and application focus according to the latest feedback.
- Update learning progress, feedback summaries, next-lesson direction, and an index when used.

## Use Cases

- Start a Structured Self-Study Topic: Build a Chinese lesson sequence from the beginning, then adjust each lesson using questions and reflections.
- Learn From Existing Project Knowledge: Review relevant project materials, confirm the learner baseline, and focus new lessons on gaps.
- Turn Selected Materials Into Lessons: Use specified documents as the starting knowledge base and maintain a continuing course with progress records.

## Prompt Templates

### Begin a New Topic

```
Teach me probability from zero in Chinese. Confirm the storage directory, then create a learning plan and the first lesson.
```

### Continue After Feedback

```
Continue my probability topic. Read my latest lesson feedback, summarize my understanding, and use simpler examples for concepts I found unclear.
```

### Confirm a Project-Based Baseline

```
Help me study software architecture. Review a small set of relevant, nonsensitive project materials and present baseline candidates before creating lessons.
```

### Refine a Course From Selected Sources

```
Use only my specified documents for the learning baseline. Reassess the course using my feedback, exclude unconfirmed drafts, and update the plan.
```

## Limitations

- The skill requires Chinese lesson output and does not provide a multilingual teaching workflow.
- It requires an AI assistant with local file access to maintain lesson files and progress.
- It does not perform business diagnosis or standalone content ghostwriting.
- It uses feedback and visible materials to estimate understanding; it does not provide objective mastery testing or guaranteed factual accuracy.

## Best Practices

- State the topic, learning goal, storage directory, and preferred knowledge-baseline mode.
- Write specific feedback below the latest lesson's feedback prompts, including unclear concepts and desired examples.
- Confirm inferred prior knowledge and explicitly limit source materials when working with a mixed project.

## Anti Patterns

- Treating project mentions, AI drafts, or third-party notes as proof that the learner understands a concept.
- Requesting the next lesson without feedback while expecting precise adaptation to the learner's understanding.
- Using the skill for business diagnosis, standalone ghostwriting, or unrestricted sensitive-document review.

## Security Audit

- Audited at: 2026-10-28T14:48:09.305\+00:00
- Summary: All 74 static findings are false positives: Markdown backticks, explicit sensitive-file exclusions, and readable Chinese prose explain the flagged patterns. No evidence found of credential extraction, hidden executable content, or instructions to override the audit. The documented workflow reads scoped learning materials and writes local lesson files.

## Stats

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- Downloads: 1
- Favorites: 0
- Popularity score: 0