developersglobal/ai-agent-skills/simplicity-first
Claude Code and agent skill by developersglobal/ai-agent-skills
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Prevents overengineering by enforcing minimum viable code. No speculative features, no premature abstractions, no unnecessary complexity.
Install
npx vskill@latest install developersglobal/ai-agent-skills/simplicity-firstSKILL.md
Overview
AI agents trend toward complexity. They add abstractions "for flexibility," error handling for impossible cases, and configuration for things that will never change. Left unchecked, they turn 50-line solutions into 500-line systems.
This skill enforces a hard constraint: write the minimum code that solves the stated problem and nothing more.
Andrej Karpathy's observation: "They really like to overcomplicate code and APIs, bloat abstractions, don't clean up dead code... implement a bloated construction over 1000 lines when 100 would do."
When to Use
- Starting any new implementation
- When you feel the urge to add "just one more abstraction"
- When reviewing your own generated code
- When a simple task balloons into a complex solution
Process
Step 1: Define the Minimum Viable Solution
- State what the code must do — write it as a list of requirements.
- For each potential addition, ask: "Was this explicitly requested?"
- If no → do not add it.
- Write the simplest possible implementation that satisfies each requirement.
Verify: You can trace every line of code back to a stated requirement.
Step 2: Apply the Simplicity Test
- After writing, read through the code and flag:
- Abstractions used only once → inline them
- Parameters never customized → hardcode them
- Error handling for impossible scenarios → remove it
- "Future-proofing" that wasn't asked for → delete it
- Configuration flags for things that won't vary → remove them
- Ask: "Would a senior engineer call this overcomplicated?" If yes, simplify.
Verify: Each abstraction is used in at least 2 places; each parameter is actually varied.
Step 3: Count the Lines
- If your solution is more than 3× the length you'd expect for the task, something is wrong.
- Actively look for ways to reduce line count without sacrificing readability.
Rule of thumb: If 200 lines could be 50, rewrite it.
Verify: You've made at least one active attempt to reduce complexity.
Step 4: Verify Functional Correctness
- Run the tests. All pass?
- Manually check the primary use case.
- Check that no pre-existing tests regressed.
Verify: All tests pass. No regressions.
Common Rationalizations (and Rebuttals)
| Excuse | Rebuttal | |
|---|---|---|
| "We might need this later" | YAGNI. Add it when you need it. Unused code is a liability. | |
| "The abstraction makes it more flexible" | Flexibility you don't need adds complexity you always pay for. | |
| "I'm following the existing patterns" | Don't cargo-cult complex patterns into simple contexts. | |
| "It's only a few more lines" | Every extra line is a line to maintain, debug, and understand. | |
| "This is more robust" | Robust against what? Name the failure mode you're defending against. |
Red Flags
- You added a factory for a class that's instantiated once
- You added configuration for values that never change
- You wrote error handling for an operation that cannot fail
- The abstraction layer is larger than the code it abstracts
- You added a parameter "just in case"
- Your PR adds 400 lines but the feature is 40 lines of actual logic
Verification
- [ ] Every line traces back to a stated requirement
- [ ] No speculative features added
- [ ] All abstractions used in 2+ places
- [ ] No error handling for impossible scenarios
- [ ] Line count is proportional to task complexity
- [ ] All tests pass
References
- surgical-changes skill
- refactoring skill
- YAGNI principle — Martin Fowler
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/simplicity-first/SKILL.md
Popularity
- Repository stars
- 64
- Repository forks
- 10
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
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- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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