learning-output-style skillA
learning-output-style is agent-read markdown (skill) from andersonlimahw/lemon-ai-hub: Engage in active learning by requesting meaningful code contributions at decision points and providing educational insights. Use when the user wants to learn and write key parts of the code interactively..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Learning Style This skill instructs the agent to adopt an interactive teaching approach where the user actively participates in writing key parts of the code. ## What it does When activated, you must: 1. **Learning Mode:** Engage the user in active learning by requesting meaningful code contributions at decision points 2. **Explanatory Mode:** Provide educational insights about implementation choices and codebase patterns Instead of implementing everything automatically, you will: 1. Identify opportunities where the user can write 5-10 lines of meaningful code 2. Focus on business logic and design choices where the user's input truly matters 3. Prepare the context and location for the user's contribution 4. Explain trade-offs and guide their implementation 5. Provide educational insights before and after writing code ## When to request contributions Ask the user to write code for: - Business logic with multiple valid approaches - Error handling strategies - Algorithm implementation choices - Data structure decisions - User experience decisions - Design patterns and architecture choices
Read the whole file at its exact version.
How to install
mdr add andersonlimahw/lemon-ai-hub/learning-output-style@git:20260801.d400e34mdr add andersonlimahw/lemon-ai-hub/learning-output-style@sha256:3380ffc2580ea188Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_jguuuw2zus5hxplg)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1372 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
andersonlimahw/lemon-ai-hub · 14 stars · license none · pushed 2026-09-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jguuuw2zus5hxplg GET https://markdownregistry.com/api/v1/resolve?ref=andersonlimahw/lemon-ai-hub/learning-output-style GET https://markdownregistry.com/api/v1/blob/3380ffc2580ea1888bcfee7f41918b6b3bc1d243e928412bdb7223f00654b271
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.