Skills Marketplace

MemoRizz agents can discover and use external agent skills at runtime through pluggable marketplace providers. When a marketplace is enabled, the agent receives search and fetch tools that let it find relevant skills, read their instructions, and apply them to complete tasks.

Available Providers

Provider	Identifier	API Key Required	Tools Registered
Vercel Agent Skills	vercel	No (optional GITHUB_TOKEN for rate limits)	vercel_skills_search, vercel_skill_fetch
SkillsMP	skillsmp	Yes (SKILLSMP_API_KEY)	skills_marketplace_search

Vercel Agent Skills

Vercel Agent Skills is an open ecosystem of reusable capabilities packaged as SKILL.md files in GitHub repositories. Each skill contains structured instructions (with YAML frontmatter for metadata and Markdown content for steps) that an agent can follow to complete a specific type of task.

The ecosystem covers skills for React, Next.js, AI SDK, deployment, design, browser automation, commerce, and more, with 269+ published skills from Vercel and the community.

How It Works

1. The agent receives vercel_skills_search and vercel_skill_fetch tools
2. When given a task, the agent searches for relevant skills by keyword
3. The agent fetches the SKILL.md from the matching repository
4. The agent reads and follows the instructions to complete the task

Enabling via Code

from memorizz.memagent import MemAgent

agent = MemAgent(
    llm_config=llm_config,
    memory_provider=provider,
    skills_marketplace_provider="vercel",
)

print(agent.run("Build a performant React component following best practices"))

Or with the builder:

from memorizz.memagent.builders import MemAgentBuilder

agent = (
    MemAgentBuilder()
    .with_instruction("You are a frontend developer.")
    .with_memory_provider(provider)
    .with_llm_config(llm_config)
    .build()
)

# Enable marketplace after build
agent.with_skills_marketplace_provider("vercel")

Enabling via Web UI

1. Navigate to the Vercel Skills page in the sidebar to browse and search skills
2. When creating or editing an agent, select Vercel Agent Skills (skills.sh) from the Skills Marketplace dropdown
3. The agent's playground will show the Vercel provider status in the configuration panel

Fetching from a Specific Repository

Users can point the agent at any GitHub repository containing a SKILL.md:

# The agent fetches the SKILL.md and follows its instructions
agent.run("Use the skill from vercel/ai-chatbot to scaffold a chatbot")

The vercel_skill_fetch tool accepts:

• repo – GitHub repository in owner/repo format or a full URL
• skill_name – optional name for multi-skill repositories (e.g., "nextjs-app-router")
• branch – Git branch to fetch from (default: main)

Multi-Skill Repositories

Some repositories contain multiple skills under a skills/ directory. When the agent fetches from such a repo without specifying a skill_name, it receives a list of available skills and can select the appropriate one.

Environment Variables

Variable	Purpose
GITHUB_TOKEN	Optional GitHub personal access token for higher API rate limits
MEMORIZZ_DEFAULT_SKILLS_MARKETPLACE_PROVIDER	Set to vercel to auto-enable on all agents

How Skills Are Discovered in Repositories

The provider searches these standard paths in order:

• SKILL.md (root)
• skills/SKILL.md
• skills/.curated/*/SKILL.md
• skills/.experimental/*/SKILL.md
• .claude/skills/*/SKILL.md
• .agents/skills/*/SKILL.md
• .cursor/skills/*/SKILL.md

This aligns with the Vercel skills CLI specification.

Tool Reference

vercel_skills_search

Search the Vercel skills ecosystem for relevant skills.

Parameter	Type	Default	Description
q	str	required	Search query (e.g., "react", "deployment", "AI SDK")
limit	int	20	Maximum results (1–100)

Returns a dict with ok, skills (list of repo/name/description/stars), count, and total_count.

vercel_skill_fetch

Fetch a skill's instructions from a GitHub repository.

Parameter	Type	Default	Description
repo	str	required	Repository in owner/repo format or GitHub URL
skill_name	str	""	Target a specific skill in a multi-skill repo
branch	str	"main"	Branch to fetch from

Returns a dict with ok, name, description, instructions (full SKILL.md content), repo, path, and metadata.

SkillsMP

The SkillsMP provider connects to a hosted skills marketplace with keyword and AI-powered search.

Configuration

1. Obtain an API key from skillsmp.com
2. Set it via the Settings page in the web UI or export SKILLSMP_API_KEY

agent = MemAgent(
    llm_config=llm_config,
    memory_provider=provider,
    skills_marketplace_provider="skillsmp",
    skills_marketplace_config={"api_key": "your-key"},
)

Tool Reference

skills_marketplace_search

Parameter	Type	Default	Description
q	str	required	Search query
mode	str	"keyword"	"keyword" or "ai" for semantic search
page	int	1	Page number
limit	int	20	Results per page (max 100)
sort_by	str	""	"stars" or "recent"

Web UI: Vercel Skills Page

The local web UI includes a dedicated Vercel Skills page accessible from the sidebar. It provides:

• Search bar – search the skills ecosystem by keyword
• Repo fetch – paste any owner/repo or GitHub URL to fetch a skill directly
• Skill cards – browse results with repo links, descriptions, and star counts
• Instruction viewer – read the full SKILL.md content inline, including frontmatter metadata

This page works independently of whether any agent has the Vercel provider enabled, making it useful for discovering skills before configuring agents.