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amplifier-tool-leverage-patterns Skill

AI Agent SkillPythonOpen source

Use when building an Amplifier-powered workflow or automation tool and deciding how to expose it — as standalone .dot attractor pipelines (incl. inside the Resolve dot-graph resolver), an importable Python lib, agent-callable tool modules, or a CLI. Covers the four leverage levels, the DRY rule that keeps logic in ONE Published by microsoft in amplifier-bundle-skills.

What is amplifier-tool-leverage-patterns Skill?

Use when building an Amplifier-powered workflow or automation tool and deciding how to expose it — as standalone .dot attractor pipelines (incl. inside the Resolve dot-graph resolver), an importable Python lib, agent-callable tool modules, or a CLI. Covers the four leverage levels, the DRY rule that keeps logic in ONE Published by microsoft in amplifier-bundle-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
26/100

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
  • Developers using amplifier-bundle-skills

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use amplifier-tool-leverage-patterns Skill

  • Use it for developers using amplifier-bundle-skills.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/amplifier-bundle-skills
  • Skill file: skills/amplifier-tool-leverage-patterns/SKILL.md

What it does

Use when building an Amplifier-powered workflow or automation tool and deciding how to expose it — as standalone .dot attractor pipelines (incl. inside the Resolve dot-graph resolver), an importable Python lib, agent-callable tool modules, or a CLI. Covers the four leverage levels, the DRY rule that keeps logic in ONE

Skill instructions

Amplifier Tool Leverage Levels The Pattern Problem: You've built a workflow/automation tool on Amplifier. Different consumers want to use it different ways — an attractor pipeline wants to compose it, a web app wants to import it, an agent wants to call it as a tool, a human wants a CLI. You don't want four copies of the logic. Approach: Pick ONE home for the logic, then expose up to four leverage levels as thin adapters over that home. Build only the levels a real consumer demands. | Level | Surface | Consumer | What it is | |-------|---------|----------|------------| | L1 | .dot attractor pipelines | Other pipelines / Resolve | One .dot per command + a shared subgraph (folder-shape), run on the loop-pipeline engine (amplifier-bundle-attractor) | | L2 | Python lib | Other codebases | Each command an importable method; clean public API in init.py | | L3 | Amplifier tool modules | Agents | bundle.md + modules/tool-<name/ wrapping each command as an agent-callable tool | | L4 | CLI | Hum

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Frequently asked questions

What is amplifier-tool-leverage-patterns?

amplifier-tool-leverage-patterns is a open-source AI agent skill with Copy skill directory. Use when building an Amplifier-powered workflow or automation tool and deciding how to expose it — as standalone .dot attractor pipelines (incl.

Who is amplifier-tool-leverage-patterns best for?

amplifier-tool-leverage-patterns is best for reusing agent instructions, scripts, and references.

How do I install amplifier-tool-leverage-patterns?

Install or run amplifier-tool-leverage-patterns using Copy skill directory. Check amplifier-tool-leverage-patterns for the latest setup command.

Is amplifier-tool-leverage-patterns actively maintained?

amplifier-tool-leverage-patterns may need a closer maintenance check before production use.

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Stars
10
Forks
9
Last commit
9 days ago
Repository age
5 months
License
MIT

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