Generate type-safe Convex queries, mutations, and actions with built-in validation, authentication, and error handling.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfunction-creatorExecute the skills CLI command in your project's root directory to begin installation:
Fetches function-creator from get-convex/agent-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 function-creator. Access via /function-creator 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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Generate secure, type-safe Convex functions following all best practices.
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);
},
});
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(),
});
},
});
ctx.runMutation"use node" directive when needing Node.js APIsImportant: 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.
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(),
})),
}
Always define returns:
returns: v.object({
_id: v.id("tasks"),
text: v.string(),
})
// Or for arrays
returns: v.array(v.object({ /* ... */ }))
✓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
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share 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
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4.6★★★★★32 reviews- NNikhil Haddad★★★★★Dec 20, 2024
Registry listing for function-creator matched our evaluation — installs cleanly and behaves as described in the markdown.
- CChaitanya Patil★★★★★Dec 16, 2024
function-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- NNaina Farah★★★★★Dec 16, 2024
function-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAisha Robinson★★★★★Nov 11, 2024
Useful defaults in function-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- PPiyush G★★★★★Nov 7, 2024
function-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- VValentina Abbas★★★★★Nov 7, 2024
function-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- SShikha 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.
- NNeel Ramirez★★★★★Oct 2, 2024
I recommend function-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ZZara Mensah★★★★★Sep 21, 2024
Solid pick for teams standardizing on skills: function-creator is focused, and the summary matches what you get after install.
- YYash 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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