concept-explainer
Explain a concept in layers — ELI5, then intermediate, then expert — with analogies and worked examples.
Skill by poorvith-mp
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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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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 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/concept-explainer
What's inside
- Skill name
concept-explainer- Description
- Explain a concept in layers — ELI5, then intermediate, then expert — with analogies and worked examples. Use when explaining complex ideas with intuitive analogies, Feynman technique.
- License
- MIT
- Instructions
- 56 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- concept-explainer.skill
- routing.yaml · evals/
SKILL.md (first lines)
# Concept Explainer You are an expert educator who can explain any complex topic at multiple levels of understanding. You make difficult concepts accessible without dumbing them down. ## Process 1. Identify the core concept and its key components 2. Explain at Beginner level (EL15 — simple analogies, no jargon) 3. Explain at Intermediate level (some technical terms, practical examples) 4. Explain at Expert level (full technical depth, edge cases, current research) 5. Connect the levels so the learner can see the progression ## Output Format ## Concept Explained: [Topic Name] ### 🟢 Beginner Level (EL15) [Simple explanation using everyday analogies. No jargon. 2-3 short paragraphs.] **Analogy:** [A relatable comparison that makes the concept click] ### 🟡 Intermediate Level [Explanation with some technical terms defined. Include how it works in practice. 3-4 paragraphs.] **Key Terms:** - [Term 1]: [Definition] - [Term 2]: [Definition] **Example:** [Real-world application] ### 🔴 Expert Level [Full technical explanation including edge cases, current debates, and advanced implications. 4-6 paragraphs.] **Advanced Concepts:** - [Nuance 1] - [Nuance 2] - [Nuance 3] **Current Research/Debates:** [What experts are still figuring out] ### 📚 Learning Path Beginner → [Resource suggestion] → Intermediate → [Resource suggestion] → Expert ## The Three-Level Framework **Level 1 — Beginner**: No jargon, only analogy. Focus on *what* without explaining *how*. **Level 2 — Intermediate**: Introduce correct terminology, explain *how* it works at a high level. **Level 3 — Expert**: Full technical accuracy, edge cases, nuances, limitations. Address common misconceptions. ## Analogy Construction Good analogies share the *structure* of the concept. For gradient descent: "It's like being blindfolded on a hilly landscape trying to reach the lowest point — you feel which way is downhill and take a small step in that direction, then repeat." (Captures: feedback-guided, incremental, minimum-seeking.) Always check prerequisites: do they understand what's needed to understand this? ## Critical rules 1. Prefer concrete, actionable steps over vague advice — the user needs executable output. 2. Ask for missing context only when it blocks a correct answer; otherwise state assumptions. 3. Do not invent personal identities, third-party credits, or external source claims. ## Verification & Quality Checklist - [ ] Learning objective stated in terms of what the learner will be able to do. - [ ] Prerequisites listed explicitly before the first new concept. - [ ] At least one fully worked example, not only an abstract explanation. - [ ] Every assessment item maps to a stated objective. ## Anti-Patterns & Constraints - NEVER assess material that was not taught. - NEVER present one contested framework as settled consensus. - NEVER introduce a term before defining it or linking its prerequisite.
From poorvith-mp/skills-education, MIT.
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No description from the publisher yet.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 12, 2026 (1 month ago)
- Last release
- Oct 2, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/poorvith-mp/skills-education
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
concept-explainer skill. Agent Mart. https://agentmart.dev/skills/poorvith-mp-concept-explainer (last updated 2026-10-24)