skill package

AI App Builder Skill

Designs and scaffolds production-minded AI apps with provider routing, tool calls, persistence, evals, and deploy notes.

App BuilderVerifiedvv1.0.0publicAdmin

94% eval4.8 rating1,517 installs6 targets

Edit in Build

Permissions, source, and what this skill claims to do.

Contract

What this skill may access, and where it can install.

read_fileslow risk

Inspect existing app structure, package config, and UI components.

write_filesmedium risk

Generate routes, components, provider config, eval files, and docs.

shellhigh risk

Run approved install, lint, build, and test commands.

api_keyshigh risk

Reference required env var names without exposing secret values.

Compatibility

CodexClaudeAntigravityOpenCodeGrokVS Code

Source

README and SKILL.md for the current version.

README

AI App Builder Skill converts agent app ideas into implementation plans, components, routes, provider wiring, evals, and deployment notes.

SKILL.md

---
name: ai-app-builder-skill
description: Build or upgrade AI web apps with agent workflows, provider routing, tool-use boundaries, persistence, and deploy-ready structure.
---

# AI App Builder Skill

Build or upgrade AI web apps with agent workflows, provider routing, tool-use boundaries, persistence, and deploy-ready structure.

Use this skill when the user needs a controlled agent workflow with clear inputs, bounded actions, traceable decisions, and a final artifact that another agent or developer can use immediately.

## Workflow
1. Identify the target app type, user workflow, providers, tools, persistence needs, and deployment environment.
2. Choose the smallest architecture that supports the required autonomy, traceability, and failure handling.
3. Create or modify app routes, components, API handlers, provider adapters, and data models using the repo's existing patterns.
4. Add guardrails for tool use, iteration limits, permission prompts, and visible failure states.
5. Add eval prompts and smoke tests that prove the app can handle realistic agent tasks.
6. Return a build summary with changed files, setup requirements, and deployment notes.

## Permissions
- read_files: Read the current application code and configuration.
- write_files: Create or update app code, docs, tests, and eval fixtures.
- shell: Run approved dependency, lint, build, and test commands.
- api_keys: Name required provider env vars while keeping values redacted.

## Compatibility
- Codex
- Claude
- Antigravity
- OpenCode
- Grok
- VS Code

## Output Format
- Architecture decision
- Generated implementation plan
- Files changed
- Provider and env requirements
- Evaluation plan
- Deploy checklist

## Examples
- "Build a Next.js AI support agent with tools, traces, and saved conversations."
- "Add provider switching and evals to this existing AI runner."
- "Scaffold a deployable agent app with OpenAI-compatible routing and persistence."

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--- name: ai-app-builder-skill description: Build or upgrade AI web apps with agent workflows, provider routing, tool-use boundaries, persistence, and deploy-ready structure. --- # AI App Builder Skill Build or upgrade AI web apps with agent workflows, provider routing, tool-use boundaries, persistence, and deploy-ready structure. Use this skill when the user needs a controlled agent workflow with clear inputs, bounded actions, traceable decisions, and a final artifact that another agent or developer can use immediately. ## Workflow 1. Identify the target app type, user workflow, providers, tools, persistence needs, and deployment environment. 2. Choose the smallest architecture that supports the required autonomy, traceability, and failure handling. 3. Create or modify app routes, components, API handlers, provider adapters, and data models using the repo's existing patterns. 4. Add guardrails for tool use, iteration limits, permission prompts, and visible failure states. 5. Add eval prompts and smoke tests that prove the app can handle realistic agent tasks. 6. Return a build summary with changed files, setup requirements, and deployment notes. ## Permissions - read_files: Read the current application code and configuration. - write_files: Create or update app code, docs, tests, and eval fixtures. - shell: Run approved dependency, lint, build, and test commands. - api_keys: Name required provider env vars while keeping values redacted. ## Compatibility - Codex - Claude - Antigravity - OpenCode - Grok - VS Code ## Output Format - Architecture decision - Generated implementation plan - Files changed - Provider and env requirements - Evaluation plan - Deploy checklist ## Examples - "Build a Next.js AI support agent with tools, traces, and saved conversations." - "Add provider switching and evals to this existing AI runner." - "Scaffold a deployable agent app with OpenAI-compatible routing and persistence."