orpc-contract-first

langgenius/dify · updated May 22, 2026

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$npx skills add https://github.com/langgenius/dify --skill orpc-contract-first
0 commentsdiscussion
summary

Contract-first API patterns for Dify frontend using oRPC with TanStack Query integration.

  • Define contracts in web/contract/* as single source of truth; consume via useQuery(consoleQuery.xxx.queryOptions(...)) at call sites for 1:1 endpoint mappings
  • Use .key() for partial matching in invalidation/refetch, .queryKey() for specific query identity, and .mutationKey() for mutation defaults or status filtering
  • Extract queryOptions helpers only when 3+ call sites share identical options; cr
skill.md

oRPC Contract-First Development

Intent

  • Keep contract as single source of truth in web/contract/*.
  • Default query usage: call-site useQuery(consoleQuery|marketplaceQuery.xxx.queryOptions(...)) when endpoint behavior maps 1:1 to the contract.
  • Keep abstractions minimal and preserve TypeScript inference.

Minimal Structure

web/contract/
├── base.ts
├── router.ts
├── marketplace.ts
└── console/
    ├── billing.ts
    └── ...other domains
web/service/client.ts

Core Workflow

  1. Define contract in web/contract/console/{domain}.ts or web/contract/marketplace.ts
    • Use base.route({...}).output(type<...>()) as baseline.
    • Add .input(type<...>()) only when request has params/query/body.
    • For GET without input, omit .input(...) (do not use .input(type<unknown>())).
  2. Register contract in web/contract/router.ts
    • Import directly from domain files and nest by API prefix.
  3. Consume from UI call sites via oRPC query utils.
import { useQuery } from '@tanstack/react-query'
import { consoleQuery } from '@/service/client'

const invoiceQuery = useQuery(consoleQuery.billing.invoices.queryOptions({
  staleTime: 5 * 60 * 1000,
  throwOnError: true,
  select: invoice => invoice.url,
}))

Query Usage Decision Rule

  1. Default: call site directly uses *.queryOptions(...).
  2. If 3+ call sites share the same extra options (for example retry: false), extract a small queryOptions helper, not a use-* passthrough hook.
  3. Create web/service/use-{domain}.ts only for orchestration:
    • Combine multiple queries/mutations.
    • Share domain-level derived state or invalidation helpers.
const invoicesBaseQueryOptions = () =>
  consoleQuery.billing.invoices.queryOptions({ retry: false })

const invoiceQuery = useQuery({
  ...invoicesBaseQueryOptions(),
  throwOnError: true,
})

Mutation Usage Decision Rule

  1. Default: call mutation helpers from consoleQuery / marketplaceQuery, for example useMutation(consoleQuery.billing.bindPartnerStack.mutationOptions(...)).
  2. If mutation flow is heavily custom, use oRPC clients as mutationFn (for example consoleClient.xxx / marketplaceClient.xxx), instead of generic handwritten non-oRPC mutation logic.

Key API Guide (.key vs .queryKey vs .mutationKey)

  • .key(...):
    • Use for partial matching operations (recommended for invalidation/refetch/cancel patterns).
    • Example: queryClient.invalidateQueries({ queryKey: consoleQuery.billing.key() })
  • .queryKey(...):
    • Use for a specific query's full key (exact query identity / direct cache addressing).
  • .mutationKey(...):
    • Use for a specific mutation's full key.
    • Typical use cases: mutation defaults registration, mutation-status filtering (useIsMutating, queryClient.isMutating), or explicit devtools grouping.

Anti-Patterns

  • Do not wrap useQuery with options?: Partial<UseQueryOptions>.
  • Do not split local queryKey/queryFn when oRPC queryOptions already exists and fits the use case.
  • Do not create thin use-* passthrough hooks for a single endpoint.
  • Reason: these patterns can degrade inference (data may become unknown, especially around throwOnError/select) and add unnecessary indirection.

Contract Rules

  • Input structure: Always use { params, query?, body? } format
  • No-input GET: Omit .input(...); do not use .input(type<unknown>())
  • Path params: Use {paramName} in path, match in params object
  • Router nesting: Group by API prefix (e.g., /billing/* -> billing: {})
  • No barrel files: Import directly from specific files
  • Types: Import from @/types/, use type<T>() helper
  • Mutations: Prefer mutationOptions; use explicit mutationKey mainly for defaults/filtering/devtools

Type Export

export type ConsoleInputs = InferContractRouterInputs<typeof consoleRouterContract>
how to use orpc-contract-first

How to use orpc-contract-first on Cursor

AI-first code editor with Composer

1

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 orpc-contract-first
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/langgenius/dify --skill orpc-contract-first

The skills CLI fetches orpc-contract-first from GitHub repository langgenius/dify and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/orpc-contract-first

Reload or restart Cursor to activate orpc-contract-first. Access the skill through slash commands (e.g., /orpc-contract-first) 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.

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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. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.640 reviews
  • Ganesh Mohane· Dec 24, 2024

    orpc-contract-first is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Advait Park· Dec 24, 2024

    I recommend orpc-contract-first for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Fatima Okafor· Dec 24, 2024

    orpc-contract-first reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakshi Patil· Nov 15, 2024

    orpc-contract-first fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Olivia Haddad· Nov 15, 2024

    Registry listing for orpc-contract-first matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yash Thakker· Nov 7, 2024

    Keeps context tight: orpc-contract-first is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Dhruvi Jain· Oct 26, 2024

    I recommend orpc-contract-first for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chaitanya Patil· Oct 6, 2024

    orpc-contract-first has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Advait Shah· Oct 6, 2024

    Useful defaults in orpc-contract-first — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Hassan Brown· Sep 25, 2024

    I recommend orpc-contract-first for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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