User guide
Friendly overview for people using the app. Developers may also read the project README on GitHub.
# IZNIR — User guide **IZNIR** is the **Certified Skill Factory**: it turns a description of what you want an AI to do into a structured, tested, certified skill you can export and deploy. This guide is for **people using the web app**, not for server installation (see the project **README** for developers). --- ## What you can do - **Create skills** in a guided six-step flow: from your idea → definition → guardrails → validation → automated tests → certification. - **Keep skills private** to your workspace, or use the **marketplace** to discover and fork published skills (when your deployment enables it). - **Export** certified skills as JSON, YAML, or formats aimed at common AI platforms. - **Manage privacy**: request a copy of your data or account deletion where your administrator has enabled self-service tools. --- ## Signing in and workspace 1. **Register** to create your first workspace (you become **Owner**). 2. **Sign in** with your email and password. 3. Everything you build lives in **your workspace** unless you publish to the marketplace. **Roles (short):** | Role | Typical use | | ----------- | ------------------------------------------------ | | Member | Create and edit skills, use marketplace. | | Owner | Invite members, view workspace activity. | | Superadmin | Platform administration (rare; special users). | --- ## Creating a skill (the six steps) ### 1. Intent Write a clear description: domain (e.g. legal, finance), what inputs you expect, and what outputs you need. The more precise you are, the better the next steps. ### 2. Definition Review the generated **name**, **description**, **input/output shape**, **scope** (allowed behavior), and **out of scope** (must refuse). Edit anything that is wrong before continuing. ### 3. Guardrails (review) The system proposes **guardrails**: safety rules such as handling uncertainty, staying in scope, and audit expectations. Read them carefully; they define how the skill is allowed to behave. ### 4. Validate You must **confirm each guardrail** before you can test. This is a deliberate gate: the server enforces it, not just the screen. ### 5. Test Run the **test suite**. You need **at least 80%** to move on. If you fail, read the failing cases, improve your definition or guardrails, and run tests again. ### 6. Certify When tests pass, **certify** the skill. You will get certification metadata and can **export** the artifact for your pipelines. --- ## Versions Creating a **new version** starts a **new draft**. That draft must go through validation and testing again before it can be certified. Older certified versions remain for traceability. --- ## Marketplace - **Browse** listings, ratings, and descriptions. - **Fork** a listing into your workspace to adapt it under your own review process. - Always verify **publisher** and **version** before using a skill in production. --- ## Privacy and your rights - Use **Settings → Privacy** for export, deletion requests, and consent where available. - The public **Privacy & GDPR** page explains how data is handled at the service level for your deployment. - Never put **passwords or API keys** into skill text or contact forms. --- ## Getting help - **Help center** (`/help`) — workflows and FAQ-style topics. - **Glossary** (`/glossary`) — definitions of terms used in the product. - **Contact** (`/contact`) — message the team running your instance. --- *Document version aligns with app releases; see **Changelog** for what changed.*