ai-generation-persistence Skill
AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation Published by openai in plugins.
Decision snapshot
Is this a fit?
Database workflows, Design and media, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
18 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is ai-generation-persistence Skill?
AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Database workflows
- Design and media
- Database workflows use cases
- Design and media use cases
Declared skill metadata
- Source file: plugins/vercel/skills/ai-generation-persistence/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use ai-generation-persistence Skill
- Use it for database workflows.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/vercel/skills/ai-generation-persistence/SKILL.md
What it does
AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation
Skill instructions
AI Generation Persistence AI generations are expensive, non-reproducible assets. Never discard them. Every call to an LLM costs real money and produces unique output that cannot be exactly reproduced. Treat generations like database records — assign an ID, persist immediately, and make them retrievable. Core Rules 1. Generate an ID before the LLM call — use nanoid() or createId() from @paralleldrive/cuid2 2. Persist every generation — text and metadata to database, images and files to Vercel Blob 3. Make every generation addressable — URL pattern: /chat/[id], /generate/[id], /image/[id] 4. Track metadata — model name, token usage, estimated cost, timestamp, user ID 5. Never stream without saving — if the user refreshes, the generation must survive Generate-Then-Redirect Pattern The standard UX flow for AI features: create the resource first, then redirect to its page. ts // app/api/chat/route.ts import { nanoid } from "nanoid"; import { db } from "@/lib/db"; import { redirect } from "n
Verified compatibility and discovery
Frequently asked questions
What is ai-generation-persistence?
ai-generation-persistence is a open-source AI agent skill with Copy skill directory. AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation
Who is ai-generation-persistence best for?
ai-generation-persistence is best for reusing agent instructions, scripts, and references, database workflows, design and media workflows.
How do I install ai-generation-persistence?
Install or run ai-generation-persistence using Copy skill directory. Check ai-generation-persistence for the latest setup command.
Is ai-generation-persistence actively maintained?
ai-generation-persistence may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
