MCPInstall

ai-sdk-core-v7

by blockmaticAI & Agents

Build backend AI with Vercel AI SDK v7 — generateText, streamText, ToolLoopAgent, tools. Use when implementing AI SDK v7 or troubleshooting AI errors. Never write AI SDK from memory.

Installs
224
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/blockmatic/basilic-skills --skill ai-sdk-core-v7
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads ai-sdk-core-v7 automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Skill: ai-sdk-core

Scope

  • Applies to: Backend AI with Vercel AI SDK v7 (ai package)
  • Does NOT cover: React chat UIs (see ai-sdk-ui)

Assumptions

Principles

  • generateText / streamText for request handlers and one-shot API routes; instructions for system-style prompt
  • Request-handler tool loops: stopWhen: isStepCount(n) on generateText / streamText — not maxSteps, not stepCountIs
  • ToolLoopAgent + generate() / stream() for durable agents — not hand-rolled loops, not new Agent()
  • UI streams: createUIMessageStreamResponse + toUIMessageStream({ stream: result.stream }) from 'ai'. Use these for new handlers and for dedicated stream/SDK updates
  • result.toUIMessageStreamResponse() still works in v7 (deprecated). Leave it only when the task is unrelated to streaming or the SDK
  • Tool results must be JSON-serializable (no Date)
  • System prompt lives in instructions. Client messages must not include { role: 'system' } unless the server fully trusts the payload

Constraints

MUST

  • Read bundled docs before writing calls
  • convertToModelMessages when the client sends UI messages
  • Reject untrusted { role: 'system' } in messages. Do not set allowSystemInMessages: true for client-supplied chat

AVOID

  • toDataStreamResponse / pipeDataStreamToResponse
  • stepCountIs / maxSteps / result.fullStream / top-level system: (use isStepCount, result.stream, instructions)
  • Guessing model IDs

Interactions

Templates

  • generate-text-basic.ts
  • stream-text-chat.ts
  • agent-with-tools.ts

References

  • Request handlers — tools + isStepCount, Fastify SSE, system-message reject

FAQ

What does the ai-sdk-core-v7 skill do?

Build backend AI with Vercel AI SDK v7 — generateText, streamText, ToolLoopAgent, tools. Use when implementing AI SDK v7 or troubleshooting AI errors. Never write AI SDK from memory.

How do I install ai-sdk-core-v7?

Run npx skills add https://github.com/blockmatic/basilic-skills --skill ai-sdk-core-v7 in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ai-sdk-core-v7/ (personal) or .claude/skills/ai-sdk-core-v7/ (project).

Which AI agents can use ai-sdk-core-v7?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is ai-sdk-core-v7 safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains ai-sdk-core-v7?

It is published by blockmatic in blockmatic/basilic-skills. It has 224 recorded installs.

More from blockmatic/basilic-skills

View all →

workflow

blockmatic/basilic-skills

Basilic /w- playbooks packed so install lands at .agents/skills/workflow/w-plan and the rest.

Productivity & Automation849 installs

w-review-plan

blockmatic/basilic-skills

Review a plan's Goals, Assumptions, Tasks, Risks, and References.

Code Quality & Workflow649 installs

w-git-repair

blockmatic/basilic-skills

Resolve common Git problems and conflicts with inspected commands.

Code Quality & Workflow647 installs

w-perf

blockmatic/basilic-skills

Measure bottlenecks with repository tools, then recommend or apply evidenced optimizations.

647 installs

w-api-test

blockmatic/basilic-skills

Add API tests that exercise public HTTP behavior against existing harnesses.

Backend & APIs647 installs

w-architecture

blockmatic/basilic-skills

Plan an implementation structure; durable decisions belong in ADRs and architecture docs.

Code Quality & Workflow647 installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs