jezweb
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db-seed
Generate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed files. Handles D1 batch limits, unique constraints, and domain-appropriate data. Use when populating dev/d
Overview
Generate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed files. Handles D1 batch limits, unique constraints, and domain-appropriate data. Use when populating dev/demo/test databases. Triggers: 'seed database', 'seed data', 'sample data', 'populate database', 'db seed', 'test data', 'demo data', 'generate fixtures'.
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Database Seed Generator
Generate seed scripts that populate databases with realistic, domain-appropriate sample data. Reads your schema and produces ready-to-run seed files.
Workflow
1. Find the Schema
Scan the project for schema definitions:
| Source | Location pattern |
|---|---|
| Drizzle schema | src/db/schema.ts, src/schema/*.ts, db/schema.ts |
| D1 migrations | drizzle/*.sql, migrations/*.sql |
| Raw SQL | schema.sql, db/*.sql |
| Prisma | prisma/schema.prisma |
Read all schema files. Build a mental model of:
- Tables and their columns
- Data types and constraints (NOT NULL, UNIQUE, DEFAULT)
- Foreign key relationships (which tables reference which)
- JSON fields stored as TEXT (common in D1/SQLite)
2. Determine Seed Parameters
Ask the user:
| Parameter | Options | Default |
|---|---|---|
| Purpose | dev, demo, testing | dev |
| Volume | small (5-10 rows/table), medium (20-50), large (100+) | small |
| Domain context | "e-commerce store", "SaaS app", "blog", etc. | Infer from schema |
| Output format | TypeScript (Drizzle), raw SQL, or both | Match project's ORM |
Purpose affects data quality:
- dev: Varied data, some edge cases (empty fields, long strings, unicode)
- demo: Polished data that looks good in screenshots and presentations
- testing: Systematic data covering boundary conditions, duplicates, special characters
3. Plan Insert Order
Build a dependency graph from foreign keys. Insert parent tables before children.
Example order for a blog schema:
1. users (no dependencies)
2. categories (no dependencies)
3. posts (depends on users, categories)
4. comments (depends on users, posts)
5. tags (no dependencies)
6. post_tags (depends on posts, tags)
Circular dependencies: If table A references B and B references A, use nullable foreign keys and insert in two passes (insert with NULL, then UPDATE).
4. Generate Realistic Data
Do NOT use generic placeholders like "test123", "foo@bar.com", or "Lorem ipsum". Generate data that matches the domain.
Data Generation Patterns (no external libraries needed)
Names: Use a hardcoded list of common names. Mix genders and cultural backgrounds.
const firstNames = ['Sarah', 'James', 'Priya', 'Mohammed', 'Emma', 'Wei', 'Carlos', 'Aisha'];
const lastNames = ['Chen', 'Smith', 'Patel', 'Garcia', 'Kim', 'O\'Brien', 'Nguyen', 'Wilson'];
Emails: Derive from names — sarah.chen@example.com. Use example.com domain (RFC 2606 reserved).
Dates: Generate within a realistic range. Use ISO 8601 format for D1/SQLite.
const randomDate = (daysBack: number) => {
const d = new Date();
d.setDate(d.getDate() - Math.floor(Math.random() * daysBack));
return d.toISOString();
};
IDs: Use crypto.randomUUID() for UUIDs, or sequential integers if the schema uses auto-increment.
Deterministic seeding: For reproducible data, use a seeded PRNG:
function seededRandom(seed: number) {
return () => {
seed = (seed * 16807) % 2147483647;
return (seed - 1) / 2147483646;
};
}
const rand = seededRandom(42); // Same seed = same data every time
Prices/amounts: Use realistic ranges. (rand() * 900 + 100).toFixed(2) for $1-$10 range.
Descriptions/content: Write 3-5 realistic variations per content type and cycle through them. Don't generate AI-sounding prose — write like real user data.
5. Output Format
TypeScript (Drizzle ORM)
// scripts/seed.ts
import { drizzle } from 'drizzle-orm/d1';
import * as schema from '../src/db/schema';
export async function seed(db: ReturnType<typeof drizzle>) {
console.log('Seeding database...');
// Clear existing data (reverse dependency order)
await db.delete(schema.comments);
await db.delete(schema.posts);
await db.delete(schema.users);
// Insert users
const users = [
{ id: crypto.randomUUID(), name: 'Sarah Chen', email: 'sarah@example.com', ... },
// ...
];
// D1 batch limit: 10 rows per INSERT
for (let i = 0; i < users.length; i += 10) {
await db.insert(schema.users).values(users.slice(i, i + 10));
}
// Insert posts (references users)
const posts = [
{ id: crypto.randomUUID(), userId: users[0].id, title: '...', ... },
// ...
];
for (let i = 0; i < posts.length; i += 10) {
await db.insert(schema.posts).values(posts.slice(i, i + 10));
}
console.log(`Seeded: ${users.length} users, ${posts.length} posts`);
}
Run with: npx tsx scripts/seed.ts
For Cloudflare Workers, add a seed endpoint (remove before production):
app.post('/api/seed', async (c) => {
const db = drizzle(c.env.DB);
await seed(db);
return c.json({ ok: true });
});
Raw SQL (D1)
-- seed.sql
-- Run: npx wrangler d1 execute DB_NAME --local --file=./scripts/seed.sql
-- Clear existing (reverse order)
DELETE FROM comments;
DELETE FROM posts;
DELETE FROM users;
-- Users
INSERT INTO users (id, name, email, created_at) VALUES
('uuid-1', 'Sarah Chen', 'sarah@example.com', '2025-01-15T10:30:00Z'),
('uuid-2', 'James Wilson', 'james@example.com', '2025-02-01T14:22:00Z');
-- Posts (max 10 rows per INSERT for D1)
INSERT INTO posts (id, user_id, title, body, created_at) VALUES
('post-1', 'uuid-1', 'Getting Started', 'Welcome to...', '2025-03-01T09:00:00Z');
6. Idempotency
Seed scripts must be safe to re-run:
// Option A: Delete-then-insert (simple, loses data)
await db.delete(schema.users);
await db.insert(schema.users).values(seedUsers);
// Option B: Upsert (preserves non-seed data)
for (const user of seedUsers) {
await db.insert(schema.users)
.values(user)
.onConflictDoUpdate({ target: schema.users.id, set: user });
}
Default to Option A for dev/testing, Option B for demo (where users may have added their own data).
D1-Specific Gotchas
| Gotcha | Solution |
|---|---|
| Max ~10 rows per INSERT | Batch inserts in chunks of 10 |
| No native BOOLEAN | Use INTEGER (0/1) |
| No native DATETIME | Use TEXT with ISO 8601 strings |
| JSON stored as TEXT | JSON.stringify() before insert |
| Foreign keys always enforced | Insert parent tables first |
| 100 bound parameter limit | Keep batch size × columns < 100 |
Quality Rules
- Match the domain — an e-commerce seed has products with real-sounding names and prices, not "Product 1"
- Vary the data — don't make every user "John Smith" or every price "$9.99"
- Include edge cases (for testing seeds) — empty strings, very long text, special characters, maximum values
- Reference real IDs — foreign keys must point to actually-inserted parent rows
- Print what was seeded — always log counts so the user knows it worked
- Document the run command — put it in a comment at the top of the file
File metadata
name: db-seed description: "Generate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed files. Handles D1 batch limits, unique constraints, and domain-appropriate data. Use when populating dev/demo/test databases. Triggers: 'seed database', 'seed data', 'sample data', 'populate database', 'db seed', 'test data', 'demo data', 'generate fixtures'." allowed-tools: - Read - Write - Edit - Glob - Grep - Bash compatibility: claude-code-only
View original text
---
name: db-seed
description: "Generate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed files. Handles D1 batch limits, unique constraints, and domain-appropriate data. Use when populating dev/demo/test databases. Triggers: 'seed database', 'seed data', 'sample data', 'populate database', 'db seed', 'test data', 'demo data', 'generate fixtures'."
allowed-tools:
- Read
- Write
- Edit
- Glob
- Grep
- Bash
compatibility: claude-code-only
---
# Database Seed Generator
Generate seed scripts that populate databases with realistic, domain-appropriate sample data. Reads your schema and produces ready-to-run seed files.
## Workflow
### 1. Find the Schema
Scan the project for schema definitions:
| Source | Location pattern |
|--------|-----------------|
| Drizzle schema | `src/db/schema.ts`, `src/schema/*.ts`, `db/schema.ts` |
| D1 migrations | `drizzle/*.sql`, `migrations/*.sql` |
| Raw SQL | `schema.sql`, `db/*.sql` |
| Prisma | `prisma/schema.prisma` |
Read all schema files. Build a mental model of:
- Tables and their columns
- Data types and constraints (NOT NULL, UNIQUE, DEFAULT)
- Foreign key relationships (which tables reference which)
- JSON fields stored as TEXT (common in D1/SQLite)
### 2. Determine Seed Parameters
Ask the user:
| Parameter | Options | Default |
|-----------|---------|---------|
| Purpose | dev, demo, testing | dev |
| Volume | small (5-10 rows/table), medium (20-50), large (100+) | small |
| Domain context | "e-commerce store", "SaaS app", "blog", etc. | Infer from schema |
| Output format | TypeScript (Drizzle), raw SQL, or both | Match project's ORM |
**Purpose affects data quality**:
- **dev**: Varied data, some edge cases (empty fields, long strings, unicode)
- **demo**: Polished data that looks good in screenshots and presentations
- **testing**: Systematic data covering boundary conditions, duplicates, special characters
### 3. Plan Insert Order
Build a dependency graph from foreign keys. Insert parent tables before children.
Example order for a blog schema:
```
1. users (no dependencies)
2. categories (no dependencies)
3. posts (depends on users, categories)
4. comments (depends on users, posts)
5. tags (no dependencies)
6. post_tags (depends on posts, tags)
```
**Circular dependencies**: If table A references B and B references A, use nullable foreign keys and insert in two passes (insert with NULL, then UPDATE).
### 4. Generate Realistic Data
**Do NOT use generic placeholders** like "test123", "foo@bar.com", or "Lorem ipsum". Generate data that matches the domain.
#### Data Generation Patterns (no external libraries needed)
**Names**: Use a hardcoded list of common names. Mix genders and cultural backgrounds.
```typescript
const firstNames = ['Sarah', 'James', 'Priya', 'Mohammed', 'Emma', 'Wei', 'Carlos', 'Aisha'];
const lastNames = ['Chen', 'Smith', 'Patel', 'Garcia', 'Kim', 'O\'Brien', 'Nguyen', 'Wilson'];
```
**Emails**: Derive from names — `sarah.chen@example.com`. Use `example.com` domain (RFC 2606 reserved).
**Dates**: Generate within a realistic range. Use ISO 8601 format for D1/SQLite.
```typescript
const randomDate = (daysBack: number) => {
const d = new Date();
d.setDate(d.getDate() - Math.floor(Math.random() * daysBack));
return d.toISOString();
};
```
**IDs**: Use `crypto.randomUUID()` for UUIDs, or sequential integers if the schema uses auto-increment.
**Deterministic seeding**: For reproducible data, use a seeded PRNG:
```typescript
function seededRandom(seed: number) {
return () => {
seed = (seed * 16807) % 2147483647;
return (seed - 1) / 2147483646;
};
}
const rand = seededRandom(42); // Same seed = same data every time
```
**Prices/amounts**: Use realistic ranges. `(rand() * 900 + 100).toFixed(2)` for $1-$10 range.
**Descriptions/content**: Write 3-5 realistic variations per content type and cycle through them. Don't generate AI-sounding prose — write like real user data.
### 5. Output Format
#### TypeScript (Drizzle ORM)
```typescript
// scripts/seed.ts
import { drizzle } from 'drizzle-orm/d1';
import * as schema from '../src/db/schema';
export async function seed(db: ReturnType<typeof drizzle>) {
console.log('Seeding database...');
// Clear existing data (reverse dependency order)
await db.delete(schema.comments);
await db.delete(schema.posts);
await db.delete(schema.users);
// Insert users
const users = [
{ id: crypto.randomUUID(), name: 'Sarah Chen', email: 'sarah@example.com', ... },
// ...
];
// D1 batch limit: 10 rows per INSERT
for (let i = 0; i < users.length; i += 10) {
await db.insert(schema.users).values(users.slice(i, i + 10));
}
// Insert posts (references users)
const posts = [
{ id: crypto.randomUUID(), userId: users[0].id, title: '...', ... },
// ...
];
for (let i = 0; i < posts.length; i += 10) {
await db.insert(schema.posts).values(posts.slice(i, i + 10));
}
console.log(`Seeded: ${users.length} users, ${posts.length} posts`);
}
```
Run with: `npx tsx scripts/seed.ts`
For Cloudflare Workers, add a seed endpoint (remove before production):
```typescript
app.post('/api/seed', async (c) => {
const db = drizzle(c.env.DB);
await seed(db);
return c.json({ ok: true });
});
```
#### Raw SQL (D1)
```sql
-- seed.sql
-- Run: npx wrangler d1 execute DB_NAME --local --file=./scripts/seed.sql
-- Clear existing (reverse order)
DELETE FROM comments;
DELETE FROM posts;
DELETE FROM users;
-- Users
INSERT INTO users (id, name, email, created_at) VALUES
('uuid-1', 'Sarah Chen', 'sarah@example.com', '2025-01-15T10:30:00Z'),
('uuid-2', 'James Wilson', 'james@example.com', '2025-02-01T14:22:00Z');
-- Posts (max 10 rows per INSERT for D1)
INSERT INTO posts (id, user_id, title, body, created_at) VALUES
('post-1', 'uuid-1', 'Getting Started', 'Welcome to...', '2025-03-01T09:00:00Z');
```
### 6. Idempotency
Seed scripts must be safe to re-run:
```typescript
// Option A: Delete-then-insert (simple, loses data)
await db.delete(schema.users);
await db.insert(schema.users).values(seedUsers);
// Option B: Upsert (preserves non-seed data)
for (const user of seedUsers) {
await db.insert(schema.users)
.values(user)
.onConflictDoUpdate({ target: schema.users.id, set: user });
}
```
Default to Option A for dev/testing, Option B for demo (where users may have added their own data).
## D1-Specific Gotchas
| Gotcha | Solution |
|--------|----------|
| Max ~10 rows per INSERT | Batch inserts in chunks of 10 |
| No native BOOLEAN | Use INTEGER (0/1) |
| No native DATETIME | Use TEXT with ISO 8601 strings |
| JSON stored as TEXT | `JSON.stringify()` before insert |
| Foreign keys always enforced | Insert parent tables first |
| 100 bound parameter limit | Keep batch size × columns < 100 |
## Quality Rules
1. **Match the domain** — an e-commerce seed has products with real-sounding names and prices, not "Product 1"
2. **Vary the data** — don't make every user "John Smith" or every price "$9.99"
3. **Include edge cases** (for testing seeds) — empty strings, very long text, special characters, maximum values
4. **Reference real IDs** — foreign keys must point to actually-inserted parent rows
5. **Print what was seeded** — always log counts so the user knows it worked
6. **Document the run command** — put it in a comment at the top of the file
Review the source
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- Get the skill
- Price unconfirmed
- Run it
- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- MIT
- Price unconfirmed
- We have not confirmed a price for this skill. Existing source and install links remain available.
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- AI review approval is missing
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
IndexedStatic Checked
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- jezweb/claude-skills
- License
- MIT
- Version
- Unknown
- Last GitHub push
- Sep 26, 2026
- Registry updated
- Sep 26, 2026
- Instruction path
- plugins/cloudflare/skills/db-seed/SKILL.md @ 176df0f01dfb
Version reported in registry metadata; check source releases before relying on it.
Quality
72/100
Strong
Trust
66/100
Sandbox only
Audit
78/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- AI review approval is missing
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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"skill": {
"slug": "jezweb-db-seed",
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"description": "Generate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed files. Handles D1 batch limits, unique constraints, and domain-appropriate data. Use when populating dev/demo/test databases. Triggers: 'seed database', 'seed data', 'sample data', 'populate database', 'db seed', 'test data', 'demo data', 'generate fixtures'.",
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"license": "MIT",
"repository": "https://github.com/jezweb/claude-skills/tree/main/plugins/cloudflare/skills/db-seed",
"install": "npx skills add jezweb/claude-skills --skill db-seed",
"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, shell or command execution",
"documentation": "Strong README/SKILL.md context",
"agentOutcomes": "No agent outcome data yet"
},
"outcome_evidence": {
"total": 0,
"successes": 0,
"failures": 0,
"not_relevant": 0,
"success_rate": null,
"recent_success_rate": null,
"recent_failure_rate": null,
"install_attempts": 0,
"install_success_rate": null,
"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"research",
"agent-skill"
],
"known_risks": [
"AI review approval is missing",
"Financial research output is not financial advice; require human review before any live investment decision.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution",
"Review status: AI review approval is missing"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 78,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"AI review approval is missing",
"Financial research output is not financial advice; require human review before any live investment decision.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Dependency/runtime risk: command execution surface, credential or environment access"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 72,
"label": "Strong"
},
"supply": {
"track": "Research and knowledge work",
"scenario": "Research agents",
"maintenance": "7d since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No major risk signals from current metadata",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"AI review approval is missing"
],
"agent_contract": {
"task_input": "Use db-seed in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 74/100 Strong shortlist",
"Audit: 78/100 Needs review",
"Safety: 34/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "jezweb-db-seed (db-seed)",
"install_command": "npx skills add jezweb/claude-skills --skill db-seed",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "jezweb-db-seed",
"task": "Use db-seed in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/jezweb-db-seed",
"api": "https://www.openagentskill.com/api/agent/skills/jezweb-db-seed",
"audit": "https://www.openagentskill.com/skills/jezweb-db-seed/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=jezweb-db-seed&task=Use%20db-seed%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20db-seed%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20db-seed%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/jezweb-db-seed/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/jezweb-db-seed"
}
}For the creator
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- Creator
- jezweb
- Source
- jezweb/claude-skills
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