Comprehensive code simplification guide for AI agents and LLMs. Contains 47 rules across 8 categories, prioritized by impact from critical (context discovery, behavior preservation) to incremental (language idioms). Each rule includes detailed explanations, real-world examples comparing incorrect vs. correct implementations, and specific impact metrics.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncode-simplifierExecute the skills CLI command in your project's root directory to begin installation:
Fetches code-simplifier from pproenca/dot-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate code-simplifier. Access via /code-simplifier in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Comprehensive code simplification guide for AI agents and LLMs. Contains 47 rules across 8 categories, prioritized by impact from critical (context discovery, behavior preservation) to incremental (language idioms). Each rule includes detailed explanations, real-world examples comparing incorrect vs. correct implementations, and specific impact metrics.
Reference these guidelines when:
| Priority | Category | Impact | Prefix | Rules |
|---|---|---|---|---|
| 1 | Context Discovery | CRITICAL | ctx- |
4 |
| 2 | Behavior Preservation | CRITICAL | behave- |
6 |
| 3 | Scope Management | HIGH | scope- |
5 |
| 4 | Control Flow Simplification | HIGH | flow- |
9 |
| 5 | Naming and Clarity | MEDIUM-HIGH | name- |
6 |
| 6 | Duplication Reduction | MEDIUM | dup- |
5 |
| 7 | Dead Code Elimination | MEDIUM | dead- |
5 |
| 8 | Language Idioms | LOW-MEDIUM | idiom- |
7 |
ctx-read-claude-md - Always read CLAUDE.md before simplifyingctx-detect-lint-config - Check for linting and formatting configsctx-follow-existing-patterns - Match existing code style in file and projectctx-project-over-generic - Project conventions override generic best practicesbehave-preserve-outputs - Preserve all return values and outputsbehave-preserve-errors - Preserve error messages, types, and handlingbehave-preserve-api - Preserve public function signatures and typesbehave-preserve-side-effects - Preserve side effects (logging, I/O, state changes)behave-no-semantics-change - Forbid subtle semantic changesbehave-verify-before-commit - Verify behavior preservation before finalizingscope-recent-code-only - Focus on recently modified code onlyscope-minimal-diff - Keep changes small and reviewablescope-no-unrelated-refactors - No unrelated refactorsscope-no-global-rewrites - Avoid global rewrites and architectural changesscope-respect-boundaries - Respect module and component boundariesflow-early-return - Use early returns to reduce nestingflow-guard-clauses - Use guard clauses for preconditionsflow-no-nested-ternaries - Never use nested ternary operatorsflow-explicit-over-dense - Prefer explicit control flow over dense expressionsflow-flatten-nesting - Flatten deep nesting to maximum 2-3 levelsflow-single-responsibility - Each code block should do one thingflow-positive-conditions - Prefer positive conditions over double negativesflow-optional-chaining - Use optional chaining and nullish coalescingflow-boolean-simplification - Simplify boolean expressionsname-intention-revealing - Use intention-revealing namesname-nouns-for-data - Use nouns for data, verbs for actionsname-avoid-abbreviations - Avoid cryptic abbreviationsname-consistent-vocabulary - Use consistent vocabulary throughoutname-avoid-generic - Avoid generic namesname-string-interpolation - Prefer string interpolation over concatenationdup-rule-of-three - Apply the rule of threedup-no-single-use-helpers - Avoid single-use helper functionsdup-extract-for-clarity - Extract only when it improves claritydup-avoid-over-abstraction - Prefer duplication over premature abstractiondup-data-driven - Use data-driven patterns over repetitive conditionalsdead-remove-unused - Delete unused code artifactsdead-delete-not-comment - Delete code, never comment it outdead-remove-obvious-comments - Remove comments that state the obviousdead-keep-why-comments - Keep comments that explain why, not whatdead-remove-todo-fixme - Remove stale TODO/FIXME commentsidiom-ts-strict-types - Use strict types over any (TypeScript)idiom-ts-const-assertions - Use const assertions and readonly (TypeScript)idiom-rust-question-mark - Use ? for error propagation (Rust)idiom-rust-iterator-chains - Use iterator chains when clearer (Rust)idiom-python-comprehensions - Use comprehensions for simple transforms (Python)idiom-go-error-handling - Handle errors immediately (Go)idiom-prefer-language-builtins - Prefer language and stdlib builtinsRead individual reference files for detailed explanations and code examples:
| File | Description |
|---|---|
| references/_sections.md | Category definitions and ordering |
| assets/templates/_template.md | Template for new rules |
| metadata.json | Version and reference information |
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
pproenca/dot-skills
pproenca/dot-skills
asyrafhussin/agent-skills
shadcn/improve
mattpocock/skills
parcadei/continuous-claude-v3
We added code-simplifier from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
code-simplifier has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend code-simplifier for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: code-simplifier is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: code-simplifier is focused, and the summary matches what you get after install.
We added code-simplifier from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend code-simplifier for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend code-simplifier for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: code-simplifier is focused, and the summary matches what you get after install.
code-simplifier fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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