by DreambigOu
ELI5 — A Claude Code skill that explains anything to anyone: kids, managers, engineers, parents. Adapts tone, vocabulary, and analogies to match the audience.
# Add to your Claude Code skills
git clone https://github.com/DreambigOu/ELI5Last scanned: 8/25/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-08-25T04:37:15.263Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how ELI5 compares with popular alternatives.
ELI5 is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by DreambigOu. ELI5 — A Claude Code skill that explains anything to anyone: kids, managers, engineers, parents. Adapts tone, vocabulary, and analogies to match the audience. It has 1,675 GitHub stars.
Yes. ELI5 passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/DreambigOu/ELI5" and add it to your Claude Code skills directory (see the Installation section above).
ELI5 is primarily written in Python. It is open-source under DreambigOu on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh ELI5 against similar tools.
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A Claude Code skill that explains anything to anyone — kids, managers, engineers, parents. It adapts tone, vocabulary, analogies, and framing to match the audience.
Ever needed to explain a technical concept to your manager? Or break down code for a 5th grader? ELI5 makes Claude automatically adjust its explanation style based on who's listening.
Read the full blog post on how this skill was built: Building an ELI5 Skill for Claude
| Category | Examples |
|---|---|
| Ages | 5, 10, 15, 20, 30, 40+ |
| Grade Levels | 5th grade, Middle school, Senior High, College, Graduate school |
| Job Roles | Manager, Engineer, Designer, Director, Product Manager |
| Relationships | Wife, Husband, Parents, Kids, Friend |
ELI5 what a database index is
Explain this code to my manager
Break down how git merge conflicts work for a 5th grader
Explain this error to my mom
Simplify this for a designer
The skill detects the target audience from your prompt and calibrates:
Copy the skill into your Claude Code skills directory:
git clone https://github.com/DreambigOu/ELI5.git
cp -r ELI5/skills/eli5 ~/.claude/skills/eli5
Then use it in Claude Code by saying things like "ELI5 this" or "explain this to my manager."
Read the full guide on how the eval system works: How to Evaluate a Claude Code Skill
Test cases are defined in eli5-workspace/evals.json. Add a new entry to the evals array:
{
"id": 3,
"name": "explain-recursion-teenager",
"prompt": "Explain recursion like I'm 15",
"audience": "Age 15",
"assertions": [
"Uses social media, gaming, or phone references as analogies",
"Tone is casual but not cringey — no 'fellow kids' energy",
"Correctly explains the concept of a function calling itself",
"Mentions a base case or stopping condition"
]
}
Each test case needs:
Prerequisites: Claude Code CLI installed and the skill installed at ~/.claude/skills/eli5/.
# Run all tests + auto-grade with pass/fail
python eli5-workspace/run-evals.py
# Run a single test
python eli5-workspace/run-evals.py --test=1
# Skip baseline, only test the skill
python eli5-workspace/run-evals.py --with-skill-only
# Grade existing outputs without re-running tests
python eli5-workspace/run-evals.py --grade-only
The script does three things:
Example output:
--- Test 1: explain-db-index-age5 ---
[with skill]
PASS #1 — No technical jargon present
PASS #2 — Uses book/page analogy and toy/messy room analogy
PASS #3 — Sentences are short and conversational
PASS #4 — Warm, enthusiastic tone with "huuuge", "super duper fast"
[baseline]
PASS #1 — No technical jargon found
FAIL #2 — Uses phone book analogy, not child-friendly
PASS #3 — Sentences are generally short
FAIL #4 — Tone is informative but encyclopedic
=========================================
PASS RATE SUMMARY — Iteration 1
=========================================
With Skill: 10/12 passed (83.3%)
Without Skill: 5/12 passed (41.6%)
Delta: 41.7%
=========================================
Results are saved to eli5-workspace/iteration-N/, auto-incrementing with each run. Each test case produces grading.txt files with detailed evidence.
See eli5-workspace/eval-results.md for the full evaluation strategy and detailed grading.
| Metric | With Skill | Without Skill | Delta |
|---|---|---|---|
| Pass Rate | 83.3% | 41.6% | +41.7% |
The biggest improvement is in audience-specific framing — especially for non-technical audiences like managers (0% baseline to 50% with skill).
PRs welcome! Ideas for improvement:
MIT