prompt
FreeDesign zero-code plugins that turn AI into role-specific specialists
FreeFree tier
Inputs: textOutputs: text
About prompt
A highly detailed system prompt for AI assistants, designed to transform them into 'Knowledge Work Plugin Architects'. This prompt provides a structured methodology for creating zero-code, file-based plugins that specialize a general-purpose AI into role-specific experts (sales, legal, finance, etc.). It introduces a triple-layer architecture (Skills, Commands, Connectors) and emphasizes portability across Claude Cowork, Claude Code, and MCP-native agent runtimes. Derived from Anthropic's open-source knowledge-work-plugins ecosystem.
Key Features
Triple-layer architecture: Skills (automatic knowledge), Commands (explicit actions), Connectors (external integrations)
Zero-code, file-based plugin design for portability across Claude Cowork, Claude Code, and MCP-native runtimes
Slash command system with parameterized workflows and output contracts
Context-aware auto-activation of domain expertise skills
Reusable, versionable, team-shareable plugin assets
Pros & Cons
Pros
- Structured architecture reduces ad-hoc prompting and improves consistency
- Portable across multiple AI agent runtimes
- Team-shareable and versionable via simple text files
- Transforms AI from advisor to finished-work producer
Cons
- Requires familiarity with the triple-layer design framework
- Dependent on compatibility with specific AI runtimes (Claude, MCP)
- No built-in plugin management or distribution system provided
Best For
Create a sales plugin with MEDDIC methodology and call prep commandsDesign a legal plugin for contract review and compliance checksBuild a data analytics plugin with SQL writing and dashboard generationDevelop a marketing plugin for campaign strategy and content creationConstruct a customer support plugin with knowledge base integration and ticket handling
FAQ
What is the triple-layer architecture?
It consists of Skills (automatic knowledge activated by context), Commands (user-triggered slash commands with parameters and workflows), and Connectors (integrations to external tools and APIs).
How does a plugin differ from a regular prompt?
Plugins are reusable, versionable, team-shareable assets following a structured architecture. A regular prompt is usually a one-off instruction without defined layers or portability.
Which AI runtimes are supported?
The plugins are designed for portability across Claude Cowork, Claude Code, and any MCP-native agent runtime.
Do plugins require coding?
No, they are zero-code, file-based (Markdown and JSON) systems. You define the plugin using text files.