Skip to main content
Glama

maasy_create_skill

Create marketing knowledge skills in markdown. Write frameworks, checklists, strategies. Auto-generates quick action pills after creation. Skills load relevant to your current tool.

Instructions

Create a new knowledge skill for maasy. Write actionable marketing knowledge in markdown — frameworks, checklists, strategies. Auto-generates quick action pills after creation. maasy loads relevant skills based on which tool the user is using.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesSkill name (e.g. 'Meta Ads Scaling Framework')
slugYesURL-safe slug (e.g. 'meta-ads-scaling')
categoryYesWhich module loads this: copilot=always, ads=Ads Studio, seo_geo=SEO, content=Content Gen, email=Email, crm=CRM, general=everywhere
descriptionNoShort description
contentYesKnowledge content in markdown. Include frameworks, processes, best practices, examples. Max ~2000 words.
priorityNoLoading priority (higher=first)
max_tokensNo
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries full burden. It discloses auto-generation of action pills after creation and loading behavior based on tool usage. However, it does not mention side effects, permissions, or whether the operation is idempotent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, each adding value: purpose, content type, and auto-generation/loading behavior. No redundancy or unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters and no output schema or annotations, the description lacks return value information and does not explain priority/max_tokens. It is somewhat incomplete for a moderate-complexity tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is high (86%), so baseline is 3. The description adds minimal value beyond schema, only repeating 'markdown' for content. Parameters like priority and max_tokens are not explained further.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates a new knowledge skill, specifies content type (markdown frameworks, checklists, strategies), and distinguishes from siblings by noting auto-generation of action pills and loading behavior based on tool context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies creation of new skills but does not explicitly state when to use this tool versus alternatives like maasy_update_skill or maasy_delete_skill. No when-not-to-use guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Jbelieve/mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server