function-creator

get-convex/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/get-convex/agent-skills --skill function-creator
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summary

Generate type-safe Convex queries, mutations, and actions with built-in validation, authentication, and error handling.

  • Supports three function types: queries (read-only, cached), mutations (transactional writes with automatic retries), and actions (external APIs, long-running tasks)
  • Enforces argument and return type validation via Convex validators; includes authentication checks and authorization patterns for ownership verification
  • Actions requiring Node.js APIs (SDKs, crypto) must
skill.md

Convex Function Creator

Generate secure, type-safe Convex functions following all best practices.

When to Use

  • Creating new query functions (read data)
  • Creating new mutation functions (write data)
  • Creating new action functions (external APIs, long-running)
  • Adding API endpoints to your Convex backend

Function Types

Queries (Read-Only)

  • Can only read from database
  • Cannot modify data or call external APIs
  • Cached and reactive
  • Run in transactions
import { query } from "./_generated/server";
import { v } from "convex/values";

export const getTask = query({
  args: { taskId: v.id("tasks") },
  returns: v.union(v.object({
    _id: v.id("tasks"),
    text: v.string(),
    completed: v.boolean(),
  }), v.null()),
  handler: async (ctx, args) => {
    return await ctx.db.get(args.taskId);
  },
});

Mutations (Transactional Writes)

  • Can read and write to database
  • Cannot call external APIs
  • Run in ACID transactions
  • Automatic retries on conflicts
import { mutation } from "./_generated/server";
import { v } from "convex/values";

export const createTask = mutation({
  args: {
    text: v.string(),
    priority: v.optional(v.union(
      v.literal("low"),
      v.literal("medium"),
      v.literal("high")
    )),
  },
  returns: v.id("tasks"),
  handler: async (ctx, args) => {
    const identity = await ctx.auth.getUserIdentity();
    if (!identity) throw new Error("Not authenticated");

    return await ctx.db.insert("tasks", {
      text: args.text,
      priority: args.priority ?? "medium",
      completed: false,
      createdAt: Date.now(),
    });
  },
});

Actions (External + Non-Transactional)

  • Can call external APIs (fetch, AI, etc.)
  • Can call mutations via ctx.runMutation
  • Cannot directly access database
  • No automatic retries
  • Use "use node" directive when needing Node.js APIs

Important: If your action needs Node.js-specific APIs (crypto, third-party SDKs, etc.), add "use node" at the top of the file. Files with "use node" can ONLY contain actions, not queries or mutations.

"use node"; // Required for Node.js APIs like OpenAI SDK

import { action } from "./_generated/server";
import { api } from "./_generated/api";
import { v } from "convex/values";
import OpenAI from "openai";

const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

export const generateTaskSuggestion = action({
  args: { prompt: v.string() },
  returns: v.string(),
  handler: async (ctx, args) => {
    const identity = await ctx.auth.getUserIdentity();
    if (!identity) throw new Error("Not authenticated");

    // Call OpenAI (requires "use node")
    const completion = await openai.chat.completions.create({
      model: "gpt-4",
      messages: [{ role: "user", content: args.prompt }],
    });

    const suggestion = completion.choices[0].message.content;

    // Write to database via mutation
    await ctx.runMutation(api.tasks.createTask, {
      text: suggestion,
    });

    return suggestion;
  },
});

Note: If you only need basic fetch (no Node.js APIs), you can omit "use node". But for third-party SDKs, crypto, or other Node.js features, you must use it.

Required Components

1. Argument Validation

Always define args with validators:

args: {
  id: v.id("tasks"),
  text: v.string(),
  count: v.number(),
  enabled: v.boolean(),
  tags: v.array(v.string()),
  metadata: v.optional(v.object({
    key: v.string(),
  })),
}

2. Return Type Validation

Always define returns:

returns: v.object({
  _id: v.id("tasks"),
  text: v.string(),
})

// Or for arrays
returns: v.array(v.object({ /* ... */ }))

how to use function-creator

How to use function-creator 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 function-creator
2

Execute installation command

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

$npx skills add https://github.com/get-convex/agent-skills --skill function-creator

The skills CLI fetches function-creator from GitHub repository get-convex/agent-skills 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/function-creator

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

GET_STARTED →

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

4.632 reviews
  • Nikhil Haddad· Dec 20, 2024

    Registry listing for function-creator matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chaitanya Patil· Dec 16, 2024

    function-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Naina Farah· Dec 16, 2024

    function-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aisha Robinson· Nov 11, 2024

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

  • Piyush G· Nov 7, 2024

    function-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Valentina Abbas· Nov 7, 2024

    function-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Shikha Mishra· Oct 26, 2024

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

  • Neel Ramirez· Oct 2, 2024

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

  • Zara Mensah· Sep 21, 2024

    Solid pick for teams standardizing on skills: function-creator is focused, and the summary matches what you get after install.

  • Yash Thakker· Sep 17, 2024

    Registry listing for function-creator matched our evaluation — installs cleanly and behaves as described in the markdown.

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