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module-development Skill

AI Agent SkillPythonOpen source

Guide for creating new Amplifier modules including protocol implementation, entry points, mount functions, and testing patterns. Use when creating new modules or understanding module architecture. Published by microsoft in amplifier-module-tool-skills.

What is module-development Skill?

Guide for creating new Amplifier modules including protocol implementation, entry points, mount functions, and testing patterns. Use when creating new modules or understanding module architecture. Published by microsoft in amplifier-module-tool-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
21/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Database workflows
  • Testing use cases
  • Database workflows use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use module-development Skill

  • Use it for testing.
  • Use it for database workflows.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/amplifier-module-tool-skills
  • Skill file: tests/fixtures/skills/module-development/SKILL.md

What it does

Guide for creating new Amplifier modules including protocol implementation, entry points, mount functions, and testing patterns. Use when creating new modules or understanding module architecture.

Skill instructions

Module Development Guide Creating a New Module Step 1: Choose Protocol Determine which protocol your module implements: - Tool: Agent capability (filesystem, bash, web, database) - Provider: LLM backend (Anthropic, OpenAI, Ollama) - Context: Conversation state management (simple, persistent) - Orchestrator: Execution loop strategy (basic, streaming, events) - Hook: Lifecycle observer (logging, approval, redaction) Step 2: Implement Protocol python from typing import Any from amplifiercore import ModuleCoordinator, ToolResult class MyTool: """Tool for doing something useful.""" name = "my-tool" description = "Does something useful" def init(self: "MyTool", config: dict[str, Any]) - None: """Initialize tool with configuration.""" self.config = config self.timeout = config.get("timeout", 30) @property def inputschema(self: "MyTool") - dict: """Return JSON schema for tool parameters.""" return { "type": "object", "properties": { "param": {"type": "string", "description": "Parameter descrip

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Frequently asked questions

What is module-development?

module-development is a open-source AI agent skill with Copy skill directory. Guide for creating new Amplifier modules including protocol implementation, entry points, mount functions, and testing patterns. Use when creating new modules or understanding module architecture.

Who is module-development best for?

module-development is best for reusing agent instructions, scripts, and references, testing workflows, database workflows.

How do I install module-development?

Install or run module-development using Copy skill directory. Check module-development for the latest setup command.

Is module-development actively maintained?

module-development may need a closer maintenance check before production use.

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Stars
6
Forks
7
Last commit
9 days ago
Repository age
7 months
License
MIT

Auto-fetched from GitHub.

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