Converting UAIX To An Agentskill: Analytical Report

This report analyzes how to package the **UAIX** (Universal AI Exchange) project – which publishes the UAI-1 message standard for AI‑to‑AI communication – as an **AgentSkills**-compatible skill (Agentskills.io format)...

Metadata

Field	Value
Source site	uaix.org
Source URL	https://uaix.org/
Canonical AIWikis URL	https://aiwikis.org/uaix/files/raw-system-archives-uaix-agent-file-handoff-retired-source-archive-2026-c56d79e1/
Source reference	raw/system-archives/uaix/agent-file-handoff/retired-source-archive-2026-06-13/2026-05-06/Improvement/agent-skills-integration/Converting UAIX to an AgentSkill.md
File type	md
Content category	memory-file
Last fetched	2026-06-22T01:56:21.9510185Z
Last changed	2026-05-06T21:54:18.0353478Z
Content hash	sha256:c56d79e1032afbd2eda51fb0950d1013610b805f0f2e85b692114b541981b891
Import status	unchanged
Raw source layer	data/sources/uaix/raw-system-archives-uaix-agent-file-handoff-retired-source-archive-2026-06-13-2026-05-06-improve-c56d79e1032a.md
Normalized source layer	data/normalized/uaix/raw-system-archives-uaix-agent-file-handoff-retired-source-archive-2026-06-13-2026-05-06-improve-c56d79e1032a.txt

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• Converting UAIX to an AgentSkill: Analytical Report
• Executive Summary
• UAIX Project Overview and Architecture
• AgentSkills Format and Requirements
• Mapping UAIX Components to AgentSkill Elements
• Proposed Skill File/Folder Layout
• Required Interfaces, Data Formats, and Dependencies
• Data Formats
• Packaging, Metadata, Versioning, Licensing
• Skill Packaging and Manifest
• Versioning and Releases
• Licensing
• Security and Privacy Considerations
• Runtime and Hosting Options
• CI/CD and Automated Testing
• AgentSkills Validation and Certification Steps
• User Installation and Onboarding UX
• UAIX Exchange
• Sample SKILL.md and Code Snippets
• Overview
• Examples
• Workflow
• Publishing Checklist
• Next Steps and Effort Estimates

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# Converting UAIX to an AgentSkill: Analytical Report

## Executive Summary
This report analyzes how to package the **UAIX** (Universal AI Exchange) project – which publishes the UAI-1 message standard for AI‑to‑AI communication – as an **AgentSkills**-compatible skill (Agentskills.io format).  UAIX is built as a public WordPress site (with custom themes and plugins) that hosts the UAI-1 specification, JSON schemas, examples, validator tools, and APIs【8†L179-L188】【11†L143-L147】.  Agent Skills are versioned, folder-based packages of instructions (a `SKILL.md` plus optional code and data) that agents load on demand【20†L68-L72】【16†L98-L107】.  We map UAIX components (spec pages, schemas, APIs, tools) into skill elements (instructions, scripts, assets), and propose a sample skill structure with metadata, dependencies, and a manifest.  Security, licensing, and CI/CD considerations are addressed, with example SKILL.md frontmatter and snippets.  Tables compare UAIX and AgentSkill elements, and flowcharts illustrate the architecture and publishing flow.  Finally, we provide a step-by-step publishing checklist and high-level effort estimates for this conversion project.

## UAIX Project Overview and Architecture
**UAIX** (Universal Artificial Intelligence Exchange) is an *open standards* publication site for the **UAI-1** protocol, which defines a portable, auditable message format for AI-to-AI tasks【8†L179-L188】【8†L215-L223】.  In practice, UAIX is implemented as a WordPress site with a custom **uaix-authority-theme** and plugins (`uaix-core`, `uaix-modules`, etc.) that serve content and APIs.  Its public deliverables include the UAI-1 spec text, JSON Schemas, a registry, examples, validator tools, conformance packs, and distribution ZIPs (e.g. `uaix-authority-theme.zip`, `uaix-core.zip`, `uaix-bridge.zip`)【11†L143-L147】【35†L142-L150】.  UAIX also exposes a WP REST API (`/wp-json/uaix/v1/...`) for machine clients (e.g. `/catalog`, `/schemas`, `/validate`)【24†L112-L121】【30†L79-L88】.

```mermaid
flowchart LR
    UAIXWebsite["UAIX Website (WordPress)"]
    UAIXWebsite --> UAIXTheme["Theme (uaix-authority-theme)"]
    UAIXWebsite --> UAIXPlugins["Plugins (uaix-core, modules, etc.)"]
    UAIXPlugins --> UAIXREST["REST API Endpoints\n(`/wp-json/uaix/v1/...`)"]
    UAIXREST --> Agents["AI Agents & Automation Tools"]
    UAIXTheme --> Users["Human Users"]
    UAIXPlugins --> UAIXData["Data: Schemas, Examples, Conformance Packs"]
    UAIXData --> UAIXREST
```

*Figure: High-level UAIX architecture (WordPress-based site, theme, plugins, REST API, data).*

UAIX’s **AI Memory Package Wizard** is a 6-step web UI for building starter UAI-1 “memory packages”.  It presents human users with form controls and simultaneously embeds a JSON “AI digest” for agent consumption【34†L124-L132】.  The figure below shows the human wizard and the corresponding agent JSON digest on the same page.   This illustrates UAIX’s dual interface: a visual UI for humans, and a machine-readable API endpoint for agents on the same route【34†L124-L132】.

【22†embed_image】 *Figure: UAIX AI Memory Package Wizard – human UI (left) and embedded JSON “AI digest” for agents (right)【34†L124-L132】.*

In summary, **UAIX** is a standards publication platform.  Its components include: the **UAI-1** specification (text and schemas), an interactive **wizard** and **validator** UI, a **WP REST API** for machine access, and packaged **releases** (ZIPs) of themes/plugins.  For our purposes, we assume the UAIX code is primarily PHP/JavaScript (WordPress) and the data is JSON and Markdown.

## AgentSkills Format and Requirements
**Agent Skills** are portable folders of instructions and code that AI agents can load on demand【20†L68-L72】【16†L98-L107】.  At minimum, a skill folder contains `SKILL.md`, whose YAML frontmatter provides metadata (see below).  The body of `SKILL.md` (written in Markdown) contains the agent instructions – e.g. step-by-step procedures, examples, edge cases.  Skills **may** include subdirectories: `scripts/` (executable code), `references/` (detailed docs), and `assets/` (templates, images, data)【14†L283-L292】【14†L309-L317】.

Key SKILL.md frontmatter fields are:

- `name` (required): 1–64 chars, lowercase alphanumeric and hyphens (must match folder name)【16†L98-L107】.
- `description` (required): 1–1024 chars summary of task/purpose【16†L98-L107】.
- `license` (optional): short license name or reference to a LICENSE file【16†L98-L107】.
- `compatibility` (optional): environment requirements (products, packages, etc.)【16†L103-L107】.
- `metadata` (optional): arbitrary key/value map for extra properties (e.g. author, version)【16†L103-L107】.
- `allowed-tools` (optional): space-separated list of approved tools the skill may invoke (experimental)【14†L249-L258】.

Example frontmatter (simple):
```yaml
---
name: uaix-exchange
description: Provides information and tools for the UAIX UAI-1 exchange standard.
license: CC-BY-4.0
metadata:
  author: UAIXProject
  version: "1.0"
---
```

The Markdown body follows the frontmatter and contains the instructions an agent reads when activating this skill【16†L112-L120】【14†L264-L273】.  Because agents progressively disclose content, the name/description are loaded at startup, and the full body is loaded only upon activation【14†L321-L330】.  Long reference material should be split into `references/` files so agents load them on demand【14†L296-L305】.

In summary, an AgentSkill for UAIX will consist of:
- `SKILL.md`: metadata + instructions (based on UAIX docs).
- Optional `scripts/`: e.g. Python or Bash tools (validator calls, fetching UAIX API).
- `references/`: detailed UAIX guide docs (could reuse UAIX pages).
- `assets/`: static data (UAIX JSON schemas, example messages, images).

## Mapping UAIX Components to AgentSkill Elements

| **UAIX Component**                    | **AgentSkill Element**        | **Notes (mapping)**                                      |
|---------------------------------------|-------------------------------|----------------------------------------------------------|
| Public **spec pages** (UAI-1 text)    | `SKILL.md` content            | Include key definitions, usage examples, link to spec   |
| JSON **Schemas** (`/schemas/...`)     | `assets/` or `references/`    | Embed schema files as assets or reference docs           |
| **Registry** and **Examples**         | `assets/` or text in `SKILL.md` | Summarize or include example messages for agents        |
| **WP REST API** endpoints             | `scripts/` (API clients)      | Tools to call UAIX API (e.g. `fetch_adoption_kit.py`)    |
| **Validator** (online tool)           | `scripts/` (invoke validator) | Script to POST messages to /validate or local schema check |
| **Wizard UI**                        | Documentation in `SKILL.md`   | Describe wizard usage; no UI in skill itself            |
| **Documents (Markdown)**             | `references/` or `SKILL.md`   | Reuse or adapt UAIX docs (e.g. context budget guide)     |
| **Release ZIPs** (WordPress themes)   | Not needed in skill           | These are packaging artifacts; skill uses source instead |
| **UAIX Code (WP plugins/themes)**     | *Not included*                | Irrelevant; skill is about UAIX data/knowledge, not the site code |
| **Images (wizard screenshot)**        | `assets/` (optional)          | Could include diagram if helpful                        |
| **License**                          | `license` field + LICENSE file| Pick a compatible license (e.g. CC-BY-4.0)               |

Each UAIX resource is thus mapped into an appropriate skill element. For instance, the UAI-1 protocol description becomes narrative instructions in `SKILL.md`, while the JSON Schemas become static asset files.  UAIX’s dynamic API could be accessed via helper scripts if network access is allowed.  The WordPress packaging (ZIPs) has no direct analogue; instead, the skill itself is the package.

## Proposed Skill File/Folder Layout

Here is a sample structure for the UAIX AgentSkill (folder `uaix-exchange/`):

```
uaix-exchange/
├── SKILL.md              # Skill metadata and instructions (required)
├── LICENSE               # License text (e.g. CC-BY-4.0)
├── scripts/              # (optional) helper code
│   ├── fetch_adoption_kit.py   # fetches UAIX adoption kit JSON
│   └── validate_message.py     # calls UAIX validator or local check
├── references/           # (optional) detailed docs
│   ├── UAI-1-Overview.md        # background on UAI-1 protocol
│   └── UAIX-APIs.md             # description of UAIX API routes
├── assets/               # (optional) schemas, examples, diagrams
│   ├── uai1-message-schema.json # UAI-1 JSON Schema
│   ├── example_conformance.json  # example message
│   └── wizard_screenshot.png     # diagram of UAIX wizard UI
└── skills.json (optional) # manifest for package metadata/deps (see below)
```

- **`SKILL.md`**: Frontmatter with `name: uaix-exchange`, `description: `, etc. The body might include sections like “Overview of UAI-1”, “How to Construct a Message”, and “Using UAIX Tools”.
- **`scripts/`**: Tools for actual tasks. E.g., a Python script using `requests` to hit `https://uaix.org/wp-json/uaix/v1/validate`. (Agents with code execution capability could run these.)
- **`references/`**: Longer documentation pulled from UAIX site (e.g. context budgeting, project handoff guides) so agents can load details on demand.
- **`assets/`**: Static resources: JSON schemas (e.g. for validation), lookup tables, or diagrams (like the wizard UI).
- **`LICENSE`**: The skill’s license. If UAIX content is open, we might use a Creative Commons or MIT license.
- **`skills.json`**: (Optional) A proposed manifest (see below) that lists dependencies or metadata. Not currently required by the spec, but useful for packaging.

## Required Interfaces, Data Formats, and Dependencies

The UAIX skill will primarily deal in **JSON** (UAI-1 messages and schemas) and **Markdown**.  Potential interfaces include:

- **UAIX REST API**:  Agents can query UAIX live endpoints (e.g. `/catalog`, `/schemas`, `/examples`) using HTTP. Scripts in `scripts/` can automate these calls.  Example format: JSON request to `https://uaix.org/wp-json/uaix/v1/validate`.
- **Local JSON schemas**: Include UAI-1 schema in `assets/` so the agent can validate messages offline.
- **UAIX-specific tools**: The skill might wrap calls to the UAIX **validator** (via API) or reference the **Conformance Pack**.  If agents have network access, they could fetch the conformance pack via `scripts/fetch_conformance_pack.py`.

**Dependencies**: If scripts are included, specify their runtimes. For example, if using Python scripts, the frontmatter or `compatibility` field should note “Requires Python 3.8+ and `requests` library”.  In an AgentSkill `allowed-tools` list, one could allow running Python or cURL.  E.g.:

```yaml
allowed-tools: Python(requests) Bash(curl)
```

This signals to the agent which tools may be invoked.  Any dependencies (like Python packages) should be documented in `compatibility`.  The skill might depend on having internet access to reach `uaix.org`; include that in `compatibility` if needed.

### Data Formats
- **JSON**: All UAI-1 message payloads, schemas, registry entries, adoption kits, etc., are JSON.  These can be stored in `assets/` or fetched live.
- **YAML**: The `skills.json` (manifest) if used, and the SKILL.md frontmatter.
- **Markdown**: Documentation files in `references/`, and SKILL.md content.

## Packaging, Metadata, Versioning, Licensing

### Skill Packaging and Manifest
Agent Skills currently have no *official* package manifest, but a community proposal suggests adding a `skills.json` file alongside `SKILL.md`【25†L260-L268】.  This manifest could declare:

- **package name and version** (e.g. `"name": "uaix-exchange"`, `"version": "1.0.0"`),
- **dependencies** (URLs or git repos of other skills),

Why This File Exists

This is a memory-system evidence file from uaix.org. It is shown here because AIWikis.org is demonstrating the real source files that make the UAIX / LLM Wiki memory system work, not only summarizing those systems after the fact.

Role

This file is memory-system evidence. It records source history, archive transfer, intake disposition, or another piece of provenance that should be retrievable without becoming an unsupported public claim.

Structure

The file is structured around these visible headings: Converting UAIX to an AgentSkill: Analytical Report; Executive Summary; UAIX Project Overview and Architecture; AgentSkills Format and Requirements; Mapping UAIX Components to AgentSkill Elements; Proposed Skill File/Folder Layout; Required Interfaces, Data Formats, and Dependencies; Data Formats. Those headings are retrieval anchors: a crawler or LLM can decide whether the file is relevant before reading every line.

Prompt-Size And Retrieval Benefit

Keeping this material in a separate file reduces prompt pressure because an agent can load this exact unit only when its role, source site, category, or hash is relevant. The surrounding index pages point to it, while this page preserves the full content for audit and exact recall.

How To Use It

• Humans should read the metadata first, then inspect the raw content when they need exact wording or provenance.
• LLMs and agents should use the source site, category, hash, headings, and related files to decide whether this file belongs in the active prompt.
• Crawlers should treat the AIWikis page as transparent evidence and follow the source URL/source reference for authority boundaries.
• Future maintainers should regenerate this page whenever the source hash changes, then review the explanation if the role or structure changed.

Update Requirements

When this source file changes, update the raw source layer, normalized source layer, hash history, this rendered page, generated explanation, source-file inventory, changed-files report, and any source-section index that links to it.

Related Pages

• Source overview
• Site file index
• Site report index
• UAI system index
• Source provenance
• Site directory
• Organization reports

Provenance And History

• Current observation: 2026-06-22T01:56:21.9510185Z
• Source origin: current-source-workspace
• Retrieval method: local-source-workspace
• Duplicate group: sfg-957 (primary)
• Historical hash records are stored in data/hashes/source-file-history.jsonl.

Machine-Readable Metadata

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    "generated_explanation":  true,
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}