insforge-schema-patterns
Database schema patterns for InsForge including social graphs, e-commerce, content publishing, and multi-tenancy with RLS policies. Use when designing data models with relationships, foreign keys, or Row Level Security.
Best use case
insforge-schema-patterns is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Database schema patterns for InsForge including social graphs, e-commerce, content publishing, and multi-tenancy with RLS policies. Use when designing data models with relationships, foreign keys, or Row Level Security.
Teams using insforge-schema-patterns should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/insforge-schema-patterns/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How insforge-schema-patterns Compares
| Feature / Agent | insforge-schema-patterns | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Database schema patterns for InsForge including social graphs, e-commerce, content publishing, and multi-tenancy with RLS policies. Use when designing data models with relationships, foreign keys, or Row Level Security.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# InsForge Schema Patterns
Expert patterns for designing PostgreSQL schemas optimized for InsForge's PostgREST backend.
## Pattern 1: Social Graph (Follows)
**Use when:** Building social features like Twitter, Instagram, LinkedIn connections
**Schema:**
```sql
CREATE TABLE follows (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
follower_id UUID REFERENCES users(id) ON DELETE CASCADE,
following_id UUID REFERENCES users(id) ON DELETE CASCADE,
created_at TIMESTAMPTZ DEFAULT NOW(),
UNIQUE(follower_id, following_id)
);
-- Index for fast lookups
CREATE INDEX idx_follows_follower ON follows(follower_id);
CREATE INDEX idx_follows_following ON follows(following_id);
-- RLS: Users can read all follows but only create their own
ALTER TABLE follows ENABLE ROW LEVEL SECURITY;
CREATE POLICY "Anyone can read follows" ON follows
FOR SELECT USING (true);
CREATE POLICY "Users can follow others" ON follows
FOR INSERT
TO authenticated
WITH CHECK (uid() = follower_id);
CREATE POLICY "Users can unfollow" ON follows
FOR DELETE
TO authenticated
USING (uid() = follower_id);
```
**Query with InsForge SDK:**
```javascript
// Get users I follow with their profiles
const { data: following } = await client.database
.from('follows')
.select('*, following:following_id(id, nickname, avatar_url, bio)')
.eq('follower_id', currentUserId);
// Get my followers
const { data: followers } = await client.database
.from('follows')
.select('*, follower:follower_id(id, nickname, avatar_url, bio)')
.eq('following_id', currentUserId);
// Check if user1 follows user2
const { data: isFollowing } = await client.database
.from('follows')
.select()
.eq('follower_id', user1Id)
.eq('following_id', user2Id)
.single();
// Follow a user
await client.database
.from('follows')
.insert([{ follower_id: currentUserId, following_id: targetUserId }]);
```
---
## Pattern 2: Likes (Many-to-Many Junction Table)
**Use when:** Users can like posts, comments, or other content
**Schema:**
```sql
CREATE TABLE likes (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
post_id UUID REFERENCES posts(id) ON DELETE CASCADE,
created_at TIMESTAMPTZ DEFAULT NOW(),
UNIQUE(user_id, post_id) -- Prevent duplicate likes
);
CREATE INDEX idx_likes_post ON likes(post_id);
CREATE INDEX idx_likes_user ON likes(user_id);
ALTER TABLE likes ENABLE ROW LEVEL SECURITY;
CREATE POLICY "Anyone can read likes" ON likes
FOR SELECT USING (true);
CREATE POLICY "Users can like posts" ON likes
FOR INSERT
TO authenticated
WITH CHECK (uid() = user_id);
CREATE POLICY "Users can unlike their likes" ON likes
FOR DELETE
TO authenticated
USING (uid() = user_id);
```
**Query with InsForge SDK:**
```javascript
// Get post with like count and whether current user liked it
const { data: post } = await client.database
.from('posts')
.select(`
*,
likes(count),
user_like:likes!inner(id, user_id)
`)
.eq('id', postId)
.eq('user_like.user_id', currentUserId)
.single();
// Like a post
await client.database
.from('likes')
.insert([{ user_id: currentUserId, post_id: postId }]);
// Unlike a post
await client.database
.from('likes')
.delete()
.eq('user_id', currentUserId)
.eq('post_id', postId);
```
---
## Pattern 3: Nested Comments (Self-Referential)
**Use when:** Building comment threads, nested replies
**Schema:**
```sql
CREATE TABLE comments (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
post_id UUID REFERENCES posts(id) ON DELETE CASCADE,
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
parent_comment_id UUID REFERENCES comments(id) ON DELETE CASCADE,
content TEXT NOT NULL,
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW()
);
CREATE INDEX idx_comments_post ON comments(post_id);
CREATE INDEX idx_comments_parent ON comments(parent_comment_id);
ALTER TABLE comments ENABLE ROW LEVEL SECURITY;
CREATE POLICY "Anyone can read comments" ON comments
FOR SELECT USING (true);
CREATE POLICY "Authenticated users can comment" ON comments
FOR INSERT
TO authenticated
WITH CHECK (uid() = user_id);
CREATE POLICY "Users can edit their comments" ON comments
FOR UPDATE
TO authenticated
USING (uid() = user_id)
WITH CHECK (uid() = user_id);
CREATE POLICY "Users can delete their comments" ON comments
FOR DELETE
TO authenticated
USING (uid() = user_id);
```
**Query with InsForge SDK:**
```javascript
// Get top-level comments with author info
const { data: comments } = await client.database
.from('comments')
.select('*, author:user_id(nickname, avatar_url)')
.eq('post_id', postId)
.is('parent_comment_id', null)
.order('created_at', { ascending: false });
// Get replies to a comment
const { data: replies } = await client.database
.from('comments')
.select('*, author:user_id(nickname, avatar_url)')
.eq('parent_comment_id', commentId)
.order('created_at', { ascending: true });
```
---
## Pattern 4: Multi-Tenant (Organization Scoped)
**Use when:** Building SaaS apps where data is scoped to organizations/workspaces
**Schema:**
```sql
CREATE TABLE organizations (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
name TEXT NOT NULL,
created_at TIMESTAMPTZ DEFAULT NOW()
);
CREATE TABLE organization_members (
organization_id UUID REFERENCES organizations(id) ON DELETE CASCADE,
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
role TEXT NOT NULL CHECK (role IN ('owner', 'admin', 'member')),
joined_at TIMESTAMPTZ DEFAULT NOW(),
PRIMARY KEY (organization_id, user_id)
);
CREATE TABLE projects (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
organization_id UUID REFERENCES organizations(id) ON DELETE CASCADE,
name TEXT NOT NULL,
created_at TIMESTAMPTZ DEFAULT NOW()
);
-- RLS: Users can only see projects in their organizations
ALTER TABLE projects ENABLE ROW LEVEL SECURITY;
CREATE POLICY "Users see org projects" ON projects
FOR SELECT
TO authenticated
USING (
organization_id IN (
SELECT organization_id
FROM organization_members
WHERE user_id = uid()
)
);
CREATE POLICY "Admins can create projects" ON projects
FOR INSERT
TO authenticated
WITH CHECK (
organization_id IN (
SELECT organization_id
FROM organization_members
WHERE user_id = uid()
AND role IN ('owner', 'admin')
)
);
```
---
## Best Practices
1. **Always add indexes** on foreign key columns for performance
2. **Use UNIQUE constraints** on junction tables to prevent duplicates
3. **Enable RLS** on all user-facing tables
4. **Use ON DELETE CASCADE** for automatic cleanup
5. **Foreign key expansion** in SDK uses the syntax: `table:column(fields)`
6. **Count aggregations** use: `table(count)`
7. **Filter nested tables** with: `nested_table!inner()` for inner join behavior
## Common Mistakes to Avoid
- ❌ Forgetting indexes on foreign keys → Slow queries
- ❌ Not using UNIQUE on junction tables → Duplicate likes/follows
- ❌ Missing RLS policies → Data leaks
- ❌ Using `.single()` on queries that might return multiple rows → Errors
- ❌ Not wrapping INSERT data in arrays → PostgREST errorRelated Skills
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