zod▌
pproenca/dot-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Schema validation best practices for TypeScript with 43 prioritized rules across type safety, parsing, and error handling.
- ›Covers 8 rule categories from schema definition and parsing (CRITICAL) through type inference, error handling, and performance (LOW-MEDIUM)
- ›Distinguishes safeParse() for user input, parseAsync() for async refinements, and parse() for trusted data; emphasizes validation at system boundaries
- ›Provides guidance on z.infer for type inference, z.unknown() over z.any(),
Zod Best Practices
Comprehensive schema validation guide for Zod in TypeScript applications. Contains 43 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.
When to Apply
Reference these guidelines when:
- Writing new Zod schemas
- Choosing between parse() and safeParse()
- Implementing type inference with z.infer
- Handling validation errors for user feedback
- Composing complex object schemas
- Using refinements and transforms
- Optimizing bundle size and validation performance
- Reviewing Zod code for best practices
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Schema Definition | CRITICAL | schema- |
| 2 | Parsing & Validation | CRITICAL | parse- |
| 3 | Type Inference | HIGH | type- |
| 4 | Error Handling | HIGH | error- |
| 5 | Object Schemas | MEDIUM-HIGH | object- |
| 6 | Schema Composition | MEDIUM | compose- |
| 7 | Refinements & Transforms | MEDIUM | refine- |
| 8 | Performance & Bundle | LOW-MEDIUM | perf- |
Quick Reference
1. Schema Definition (CRITICAL)
schema-use-primitives-correctly- Use correct primitive schemas for each typeschema-use-unknown-not-any- Use z.unknown() instead of z.any() for type safetyschema-avoid-optional-abuse- Avoid overusing optional fieldsschema-string-validations- Apply string validations at schema definitionschema-use-enums- Use enums for fixed string valuesschema-coercion-for-form-data- Use coercion for form and query data
2. Parsing & Validation (CRITICAL)
parse-use-safeparse- Use safeParse() for user inputparse-async-for-async-refinements- Use parseAsync for async refinementsparse-handle-all-issues- Handle all validation issues not just firstparse-validate-early- Validate at system boundariesparse-avoid-double-validation- Avoid validating same data twiceparse-never-trust-json- Never trust JSON.parse output
3. Type Inference (HIGH)
type-use-z-infer- Use z.infer instead of manual typestype-input-vs-output- Distinguish z.input from z.infer for transformstype-export-schemas-and-types- Export both schemas and inferred typestype-branded-types- Use branded types for domain safetytype-enable-strict-mode- Enable TypeScript strict mode
4. Error Handling (HIGH)
error-custom-messages- Provide custom error messageserror-use-flatten- Use flatten() for form error displayerror-path-for-nested- Use issue.path for nested error locationerror-i18n- Implement internationalized error messageserror-avoid-throwing-in-refine- Return false instead of throwing in refine
5. Object Schemas (MEDIUM-HIGH)
object-strict-vs-strip- Choose strict() vs strip() for unknown keysobject-partial-for-updates- Use partial() for update schemasobject-pick-omit- Use pick() and omit() for schema variantsobject-extend-for-composition- Use extend() for adding fieldsobject-optional-vs-nullable- Distinguish optional() from nullable()object-discriminated-unions- Use discriminated unions for type narrowing
6. Schema Composition (MEDIUM)
compose-shared-schemas- Extract shared schemas into reusable modulescompose-intersection- Use intersection() for type combinationscompose-lazy-recursive- Use z.lazy() for recursive schemascompose-preprocess- Use preprocess() for data normalizationcompose-pipe- Use pipe() for multi-stage validation
7. Refinements & Transforms (MEDIUM)
refine-vs-superrefine- Choose refine() vs superRefine() correctlyrefine-transform-coerce- Distinguish transform() from refine() and coerce()refine-add-path- Add path to refinement errorsrefine-defaults- Use default() for optional fields with defaultsrefine-catch- Use catch() for fault-tolerant parsing
8. Performance & Bundle (LOW-MEDIUM)
perf-cache-schemas- Cache schema instancesperf-zod-mini- Use Zod Mini for bundle-sensitive applicationsperf-avoid-dynamic-creation- Avoid dynamic schema creation in hot pathsperf-lazy-loading- Lazy load large schemasperf-arrays- Optimize large array validation
How to Use
Read individual reference files for detailed explanations and code examples:
- Section definitions - Category structure and impact levels
- Rule template - Template for adding new rules
- Individual rules:
references/{prefix}-{slug}.md
Full Compiled Document
For the complete guide with all rules expanded: AGENTS.md
Related Skills
- For React Hook Form integration, see
react-hook-formskill - For API client generation, see
orvalskill
Sources
How to use zod on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add zod
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches zod from GitHub repository pproenca/dot-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate zod. Access the skill through slash commands (e.g., /zod) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ 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.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★54 reviews- ★★★★★Olivia Bansal· Dec 24, 2024
We added zod from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Zara White· Dec 24, 2024
Useful defaults in zod — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ganesh Mohane· Dec 8, 2024
zod fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Hiroshi White· Dec 8, 2024
Keeps context tight: zod is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sakshi Patil· Nov 27, 2024
Registry listing for zod matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Hiroshi Perez· Nov 27, 2024
I recommend zod for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Diya Nasser· Nov 15, 2024
zod reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Alexander Torres· Nov 15, 2024
zod is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Liam Sethi· Nov 7, 2024
Solid pick for teams standardizing on skills: zod is focused, and the summary matches what you get after install.
- ★★★★★Liam Dixit· Oct 26, 2024
zod has been reliable in day-to-day use. Documentation quality is above average for community skills.
showing 1-10 of 54