wso2/agent-flavored-markdown

wso2-Profil

Letzte erfasste Quellaktivität: 25. März 2026 um 12:22

SkillsMP-Katalog aktualisiert: 17. Oktober 2026 um 00:09

gesammelte Skills: 3

GitHub-Stars: 26
GitHub-Forks: 9

README des Repositorys

README-Quelldatei: README.md

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# Agent-Flavored Markdown (AFM) A specification for no-code, portable AI Agents. ## What is AFM? AFM (Agent-Flavored Markdown) is an open specification for defining AI agents in a simple, declarative, Markdown-based format. Instead of writing framework-specific code to configure agents, you write Markdown with structured YAML front matter. Most AI agent frameworks intertwine agent instructions with technical configurations, obscuring the core agent logic and making it difficult to migrate between platforms. AFM addresses this by cleanly separating natural language instructions from configuration, making agent definitions portable across tools and frameworks. **Key benefits:** - **Portable** - Framework-agnostic definitions that work across different platforms, reducing migration complexity as the AI ecosystem evolves - **Clear** - Separates natural language instructions from configuration, making the agent's core logic easy to understand - **Natural** - Markdown's human-readable format is a natural fit for natural language instructions, optionally leveraging Markdown formatting for headings, lists, code blocks, etc. - **Accessible** - Markdown's familiarity lets domain experts author agents without deep technical knowledge - **Collaborative** - Instructions and configuration can be developed independently without interfering with each other ## Quick Example ```yaml --- name: "Friendly Assistant" description: "A friendly conversational assistant that helps users with various tasks." version: "0.1.0" license: "Apache-2.0" interfaces: - type: "webchat" max_iterations: 5 --- # Role You are a friendly and helpful conversational assistant. Your purpose is to engage in natural, helpful conversations with users, answering their questions, providing information, and assisting with various tasks to the best of your abilities. # Instructions - Always respond in a friendly and conversational tone - Keep your responses clear, concise, and easy to understand - If you don't know something, be honest about it - Ask clarifying questions when the user's request is ambiguous - Be helpful and try to provide practical, actionable advice - Maintain context throughout the conversation - Show empathy and understanding in your responses ``` For more, see [Examples](https://wso2.github.io/agent-flavored-markdown/examples/). ## Specification Read the [full specification](https://wso2.github.io/agent-flavored-markdown/specification/). ## Citation If you use AFM in your research, please cite our [IUI 2026 AgentCraft workshop paper](https://ceur-ws.org/Vol-4266/paper03.pdf): ```bibtex @inproceedings{mohamed2026afm, title={Agent-Flavored Markdown: Natural Language Specifications for Framework-Agnostic Agent Development}, author={{Ziyad Mohamed}, Maryam and Aravinda, Hasitha and Khalaf, Rania}, booktitle={Joint Proceedings of the ACM IUI 2026 Workshops co-located with the 31st Annual ACM Conference on Intelligent User Interfaces (IUI 2026)}, editor={Tommasel, Antonela and Kahr, Patricia and Dinakar, Karthik and others}, series={CEUR Workshop Proceedings}, volume={4266}, publisher={CEUR-WS.org}, issn={1613-0073}, year={2026}, url={https://ceur-ws.org/Vol-4266/paper03.pdf} } ``` ## Contributing ### Repository Structure - `spec/docs/specification.md` - The AFM Specification (core document) - `spec/docs/` - Additional documentation and guides - `spec/mkdocs.yml` - Documentation site configuration ### Local Development **Prerequisites:** Python 3.12+ ```bash pip install -r spec/requirements.txt cd spec && mkdocs serve ``` Open [http://localhost:8000](http://localhost:8000) to view the documentation site. ### Docker Development ```bash docker build -t afm-spec spec/ docker run --rm -p 8000:8000 afm-spec ``` ### Building for Production ```bash cd spec && mkdocs build ``` Output will be in the `site/` directory. ## License See [LICENSE.md](LICENSE.md) for details.

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Skills in diesem Repository

Erstlinien-Vorgesetzte für Einzelhandelsmitarbeiter Computer-Benutzersupport-Spezialisten

2 Berufskategorien · 100% klassifiziert

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order-troubleshooting

Erstlinien-Vorgesetzte für Einzelhandelsmitarbeiter

Diagnose and resolve common order issues such as delayed shipments, wrong or incorrect items, stuck or pending orders, payment failures, or packages not received. Use when a customer reports a shipping problem or any issue with their order.

Quellsprache: Englisch

2026-03-25

refund-processing

Erstlinien-Vorgesetzte für Einzelhandelsmitarbeiter

Process customer refund requests following company policy. Use when a customer requests a refund, return, exchange, money back, or store credit for an order.

Quellsprache: Englisch

2026-03-25

troubleshooting

Computer-Benutzersupport-Spezialisten

Diagnose and resolve common platform issues. Use when a user reports something not working — login failures, sync errors, slow performance, or API connection problems.

Quellsprache: Englisch

2026-03-25

Es werden 3 von 3 gesammelten Skills angezeigt.

Mit einem KI-Assistenten installieren

Diesen Prompt kopieren und in den verwendeten KI-Assistenten einfügen.

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/wso2/agent-flavored-markdown.