The Agentic Skills of mobx-react-form: How AI Assistants Now Master React Forms

Form handling in React has always been a manual, repetitive, and error-prone affair. For years, mobx-react-form has solved the runtime side of that problem — reactive form state, validation, bindings — with a clean, declarative API. But 2025 changed what "solving a problem" means: AI coding assistants now write large chunks of our forms for us. The quality of that generated code, however, depends entirely on the quality of the context the model is given.

Enter agentic skills: packaged, installable instruction sets that teach AI assistants the precise idioms, APIs, and patterns of a library before they write a single line of code. The foxhound87/skills repository brings this to mobx-react-form with a curated collection of 16 specialized skills — one for every major area of the library.

What Are Agent Skills?

Agent skills are essentially prompt-level documentation that lives on the agent's side. They contain the kind of knowledge a senior developer has internalized: exact method signatures, edge cases, the right pattern versus the working pattern. When an AI assistant is asked to build a multi-step form or wire up async validation, it doesn't have to guess — it loads the relevant skill and follows battle-tested guidance.

Skills for mobx-react-form are distributed via skills.sh and can be installed in seconds:

# Install the full collection
npx skills add https://github.com/foxhound87/skills --all

# Install a single skill
npx skills add https://github.com/foxhound87/skills --skill mobx-react-form-validation

# Install for a specific agent (e.g. opencode)
npx skills add https://github.com/foxhound87/skills -a opencode --all

The Skill Collection: From Core to Advanced

The 16 skills mirror the mental model of the library itself: a core API layer, a set of field-definition skills, validation, and then a cluster of advanced capabilities.

Core Skills

Skill	What it teaches the agent
`mobx-react-form-api`	Installation, `Form`/`Field` constructor, full property and method reference, helpers, event handlers. The prerequisite for everything else.
`mobx-react-form-flat`	Flat field definitions — unified, separated, and mixed modes, field properties, patterns.
`mobx-react-form-nested`	Nested and array fields — dot notation, array notation, dynamic add/remove, `ArrayMap`, field traversal.
`mobx-react-form-validation`	All six validation plugins (DVR, VJF, SVK, YUP, JOI, ZOD), async and cross-field validation, validation hooks.
`mobx-react-form-bindings`	Field bindings — default rewriter/template, custom bindings, `$try`, per-field mapping, UI framework adapters.
`mobx-react-form-multi-step`	Multi-step wizard forms — nested groups, per-step validation, navigation, review screens.

Advanced Skills

Skill	What it teaches the agent
`mobx-react-form-events`	Event hooks and handlers — `onInit`, `onChange`, `onFocus`, `onBlur`, `onSubmit`, `onSuccess`, `onError`, key events.
`mobx-react-form-observers-interceptors`	MobX observers and interceptors — observing field changes, intercepting mutations, rejecting/modifying values, disposers.
`mobx-react-form-computed`	Reactive computed props and `autorun` — computed field values, autorun-derived totals, row calculations.
`mobx-react-form-composer`	The forms composer — orchestrating multiple `Form` instances with batch validate/submit/clear/reset.
`mobx-react-form-converters`	Input/output converters — transforming values between input and store, per-field and separated mode.
`mobx-react-form-file-upload`	File upload fields — `type: file`, drag-and-drop zones, `onDrop` hooks, `FileList` access, validation.
`mobx-react-form-sortable`	Sortable arrays — `move()`, `ArrayMap` reordering, drag-and-drop with `@dnd-kit`, up/down buttons.
`mobx-react-form-extend`	Extending `Form` and `Field` classes — custom field classes, `makeField()`, generic and specific extension.
`mobx-react-form-options`	Form and field options — validation timing, error display, strict modes, debounce, data retrieval.

What the Skills Actually Contain

A skill isn't a vague prompt — it's structured, actionable reference material. The mobx-react-form-validation skill, for example, documents all six validation drivers with ready-to-use setup snippets:

// ZOD — TypeScript-first schema validation
import zodValidator from 'mobx-react-form/lib/validators/ZOD';
import { z } from 'zod';

const schema = z.object({
  email: z.string().email(),
  password: z.string().min(6),
});

const plugins = {
  zod: zodValidator({ package: z, schema }),
};

But more importantly, it encodes the non-obvious knowledge — the things that trip up both humans and AI models:

Async validation: returning Promises from VJF validators, registerAsync for DVR, async onChange hooks that call field.invalidate().
Cross-field validation via the related property, so changing password re-validates passwordConfirm.
The full validation-options matrix: validateOnInit, validateOnBlur, showErrorsOnChange, validationDebounceWait, stopValidationOnError, and how per-field options override form-level ones.
Plugin ordering with validationPluginsOrder when mixing drivers.
Programmatic invalidation with field.invalidate(msg, deep, async).

That last category is the real value of agentic skills: the difference between code that works and code that's idiomatic.

Why This Matters for AI-Generated Code

Anyone who has used an AI assistant to scaffold a form knows the failure modes: a model that trained on generic form libraries will happily generate useState-based controlled inputs, invent non-existent methods, or skip the onError hook entirely. The generated code compiles, renders, and almost works — until you hit validation.

Skills eliminate the guesswork. The mobx-react-form-api skill alone encodes the entire architecture — Form → fields: ArrayMap<Field> → state/bindings/validator — plus the full method table, so a model asked to "add a reset button" reaches straight for form.reset() instead of re-implementing state management.

There's also a practical benefit beyond correctness: faster iteration. Instead of prompting an agent with context and then debugging the result, the skill gives it the right primitives up front. Fewer rounds of "no, that's not how the API works."

The Library's Design Makes This Easy

mobx-react-form is unusually well-suited for agentic skills because of its consistency:

Everything is reactive — form and field properties are MobX observables, and observer()-wrapped components re-render automatically. Agents just need to know which properties are computed (isValid, isDirty, isPristine, hasError...) versus editable.
One selector for everything — form.$('path') / form.select() works for flat, nested, and array fields with the same dot-notation syntax.
Declarative validation — rules live in field definitions, so agents can express complex logic as configuration instead of imperative code.
Uniform extension points — plugins(), hooks(), bindings(), and class extension via makeField() cover almost every customization need.

When an API is this regular, a skill can document a small number of patterns that cover a very large space of use cases. That's precisely what makes the skill set effective.

Getting Started

Install the skills for your agent of choice (opencode, Claude Code, Cursor, and others are supported by skills.sh).
Start with the core trio: mobx-react-form-api, mobx-react-form-nested, and mobx-react-form-validation — they cover the 80% use case.
Bring in the rest as needed: reach for multi-step, sortable, or file-upload when the requirement appears.
Let the agent load the skill when prompting — e.g., "using the mobx-react-form-validation skill, add cross-field validation for the password fields."

The repository is MIT-licensed and actively maintained by foxhound87 (the author of mobx-react-form himself), so the skills track the library's actual behavior — not a stale approximation of it.

Conclusion

Agent skills represent a shift in how we document libraries: from documentation you read, to documentation the AI reads — so the AI can write code as if it had read the docs itself. With 16 skills spanning the full API surface of mobx-react-form, the foxhound87/skills repository turns AI assistants into competent React form developers out of the box.

The era of AI generating useState-spaghetti for forms is over — at least for anyone willing to spend 30 seconds installing a skill.

Repository: github.com/foxhound87/skills · MIT License · Install via npx skills add https://github.com/foxhound87/skills --all