explain_concept
Explains a topic or concept tailored to the user's proficiency level with intuitive mental models, practical examples, common mistakes, and grounded document…
Skill by vrishank2501
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 2, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/explain-concept
What's inside
- Skill name
explain_concept- Description
- Explains a topic or concept tailored to the user's proficiency level with intuitive mental models, practical examples, common mistakes, and grounded document citations.
- License
- MIT
- Instructions
- 26 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
Files (1)
- SKILL.md
SKILL.md (first lines)
# Explain a Concept ## Inputs - `topic`: The specific concept or subject to explain (e.g., "Python decorators", "Binary Search Trees"). - `difficulty`: Difficulty level (`beginner`, `intermediate`, `advanced`). Defaults to `beginner`. - `document_context`: Relevant excerpts retrieved from the user's uploaded materials (if available). - `learning_style`: Preferred explanation style (`practical`, `analogy-driven`, `academic`). ## Instructions 1. **Core Intuition / Mental Model**: Begin with a crisp 1-2 sentence real-world analogy or intuition. Avoid dense jargon at first. 2. **Step-by-Step Breakdown**: Explain the fundamental mechanics in clear, digestible stages. 3. **Practical Code / Concrete Example**: Provide a clean, minimal code block or walkthrough demonstrating how the concept works. 4. **Common Pitfalls & Misconceptions**: Detail 1-2 common bugs, mistakes, or misconceptions beginners run into. 5. **Key Takeaway Recap**: Conclude with a concise 2-3 bullet summary. 6. **Strict Source Attribution**: If `document_context` was provided, explicitly ground the explanation in those excerpts and cite the file and page number. Never invent facts. ## Output Format Return clean GitHub-flavored markdown with the following sections: - `### 💡 Core Intuition` - `### 🔍 How It Works` - `### 💻 Practical Example` - `### ⚠️ Common Pitfalls` - `### 📌 Recap` - `### 📚 Sources` (only when retrieved excerpts were provided)
From vrishank2501/SkillGap, MIT.
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Generates diagnostic multiple-choice or short-answer assessment questions testing applied understanding and returns a validated JSON structure for grading.
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summarize_content
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Produces high-yield, structured revision notes, key concepts, terminology, and study questions from uploaded materials.
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get_learning_progress
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Summarizes completed topics, quiz performance history, and active study days from the Supabase database.
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 21, 2026 (21 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/vrishank2501/SkillGap
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from vrishank2501
- 0.557score
answer_question
vrishank2501
Answers domain-specific queries strictly grounded in uploaded source documents with exact file and page citations, and flags insufficient evidence.
SkillAFreshness: AClaude Code +9 - 0.557score
generate_quiz
vrishank2501
Generates diagnostic multiple-choice or short-answer assessment questions testing applied understanding and returns a validated JSON structure for grading.
SkillAFreshness: AClaude Code +9 - 0.557score
recommend_next_lesson
vrishank2501
Delivers personalized learning recommendations based on Supabase database records (lowest quiz scores, unstudied topics, or upcoming goals).
SkillAFreshness: AClaude Code +9 - 0.554score
summarize_content
vrishank2501
Produces high-yield, structured revision notes, key concepts, terminology, and study questions from uploaded materials.
SkillAFreshness: AClaude Code +9 - 0.554score
get_learning_progress
vrishank2501
Summarizes completed topics, quiz performance history, and active study days from the Supabase database.
SkillAFreshness: AClaude Code +9
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Cite this page
explain_concept skill. Agent Mart. https://agentmart.dev/skills/vrishank2501-explain-concept (last updated 2026-10-24)