Open-source Firebase alternative built on:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsupabase-backend-platformExecute the skills CLI command in your project's root directory to begin installation:
Fetches supabase-backend-platform from bobmatnyc/claude-mpm-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 supabase-backend-platform. Access via /supabase-backend-platform 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
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Open-source Firebase alternative built on:
# Install Supabase client
npm install @supabase/supabase-js
# Install CLI for local development
npm install -D supabase
# TypeScript types
npm install -D @supabase/supabase-js
// lib/supabase.ts
import { createClient } from '@supabase/supabase-js'
const supabaseUrl = process.env.NEXT_PUBLIC_SUPABASE_URL!
const supabaseAnonKey = process.env.NEXT_PUBLIC_SUPABASE_ANON_KEY!
export const supabase = createClient(supabaseUrl, supabaseAnonKey)
// With TypeScript types
import { Database } from '@/types/supabase'
export const supabase = createClient<Database>(
supabaseUrl,
supabaseAnonKey
)
Supabase auto-generates REST API from Postgres schema:
// SELECT * FROM posts
const { data, error } = await supabase
.from('posts')
.select('*')
// SELECT with filters
const { data } = await supabase
.from('posts')
.select('*')
.eq('status', 'published')
.order('created_at', { ascending: false })
.limit(10)
// SELECT with joins
const { data } = await supabase
.from('posts')
.select(`
*,
author:profiles(name, avatar),
comments(count)
`)
// INSERT
const { data, error } = await supabase
.from('posts')
.insert({ title: 'Hello', content: 'World' })
.select()
.single()
// UPDATE
const { data } = await supabase
.from('posts')
.update({ status: 'published' })
.eq('id', postId)
.select()
// DELETE
const { error } = await supabase
.from('posts')
.delete()
.eq('id', postId)
// UPSERT
const { data } = await supabase
.from('posts')
.upsert({ id: 1, title: 'Updated' })
.select()
// Full-text search
const { data } = await supabase
.from('posts')
.select('*')
.textSearch('title', 'postgresql', {
type: 'websearch',
config: 'english'
})
// Range queries
const { data } = await supabase
.from('posts')
.select('*')
.gte('created_at', '2024-01-01')
.lte('created_at', '2024-12-31')
// Array contains
const { data } = await supabase
.from('posts')
.select('*')
.contains('tags', ['postgres', 'supabase'])
// JSON operations
const { data } = await supabase
.from('users')
.select('*')
.eq('metadata->theme', 'dark')
// Count without data
const { count } = await supabase
.from('posts')
.select('*', { count: 'exact', head: true })
// Pagination
const pageSize = 10
const page = 2
const { data } = await supabase
.from('posts')
.select('*')
.range(page * pageSize, (page + 1) * pageSize - 1)
// Call Postgres function
const { data, error } = await supabase
.rpc('get_trending_posts', {
days: 7,
min_score: 10
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Backendsame categoryReviews
4.8★★★★★42 reviews- MMin Malhotra★★★★★Dec 28, 2024
We added supabase-backend-platform from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- LLi Zhang★★★★★Dec 28, 2024
I recommend supabase-backend-platform for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- MMin Kapoor★★★★★Dec 28, 2024
Registry listing for supabase-backend-platform matched our evaluation — installs cleanly and behaves as described in the markdown.
- PPratham Ware★★★★★Dec 24, 2024
Keeps context tight: supabase-backend-platform is the kind of skill you can hand to a new teammate without a long onboarding doc.
- XXiao Park★★★★★Dec 16, 2024
Useful defaults in supabase-backend-platform — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- XXiao Haddad★★★★★Nov 19, 2024
supabase-backend-platform reduced setup friction for our internal harness; good balance of opinion and flexibility.
- AAarav Martinez★★★★★Nov 19, 2024
supabase-backend-platform fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- YYash Thakker★★★★★Nov 15, 2024
supabase-backend-platform has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AAva Harris★★★★★Oct 10, 2024
Registry listing for supabase-backend-platform matched our evaluation — installs cleanly and behaves as described in the markdown.
- IIsabella Gonzalez★★★★★Oct 10, 2024
We added supabase-backend-platform from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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