Webdev Token Input Skill

Webdev Token Input

Build multi-value token/chip inputs (tags, filters, email recipients) on top of combobox autocomplete patterns.

Prerequisites

This skill builds on webdev-combobox-autocomplete. Start there for state model, ARIA patterns, keyboard navigation, and async suggestions.

Token State Model

Extends combobox state with token-specific properties:

interface TokenInputState extends ComboboxState {
  // Token-specific state
  tokens: FilterToken[];
  activeTokenIndex: number | null;  // For arrow-key navigation between tokens
}

interface FilterToken {
  id: string;
  key?: string;      // e.g., "status", "assignee"
  operator?: string; // e.g., ":", "=", "!="
  value: string;     // e.g., "completed", "john@example.com"
  display: string;   // Formatted for visual pill
}

Production Patterns Analysis

Analyzing Datadog, Grafana, Honeycomb, Linear, and GitHub reveals two dominant paradigms:

Text-Based (Datadog, Kibana, Sentry, GitHub)

Colon as delimiter—typing status: triggers value suggestions, and completing the value creates a visual token.

Benefits: Power users can edit any part of a query inline, syntax highlighting, fast keyboard-only flow.

Example: Datadog's "search pills" with syntax highlighting enable clicking anywhere in service:payment AND status:error to modify it.

Visual Builders (Grafana, Honeycomb, Linear)

Dropdowns for each component, tokens displayed as discrete clickable pills.

Benefits: Reduces errors, clear structure, good for non-technical users.

Example: Linear's approach treats each filter as a structured object where clicking the operator (is) toggles through options (is not, is any of).

The UX differences are significant. For complex observability queries, the text-based approach wins; for task management, the visual builder reduces errors. Start with text-based for observability/search; visual for task management.

Token Creation Triggers

Pattern 1: Colon Delimiter

function handleChange(value) {
  if (value.endsWith(':')) {
    const key = value.slice(0, -1);
    setState({
      contextKey: key,
      suggestions: getValuesForKey(key),
      status: 'suggesting'
    });
  }
}

Pattern 2: Enter Key

function handleKeyDown(e) {
  if (e.key === 'Enter' && highlightedIndex >= 0) {
    createToken(suggestions[highlightedIndex]);
    setState({ inputValue: '', highlightedIndex: -1, isOpen: false });
  }
}

Pattern 3: Comma/Space (Simple Tags)

function handleChange(value) {
  if (value.endsWith(',') || value.endsWith(' ')) {
    const token = value.slice(0, -1).trim();
    if (token) createToken({ value: token });
    setState({ inputValue: '' });
  }
}

Backspace Behavior

Backspace requires two-step deletion for safety: first backspace selects/highlights the last token, second backspace deletes it. Bootstrap Tokenfield pioneered this pattern. Single-backspace deletion is faster but causes accidental deletions.

function handleKeyDown(e) {
  if (e.key === 'Backspace' && inputValue === '') {
    if (activeTokenIndex === null) {
      // First backspace: highlight last token
      setActiveTokenIndex(tokens.length - 1);
    } else {
      // Second backspace: delete highlighted token
      deleteToken(activeTokenIndex);
      setActiveTokenIndex(null);
    }
  }
}

Implement the safer two-step pattern and make it configurable if needed.

Arrow Navigation Between Tokens

Arrow navigation follows a clear hierarchy. Up/Down move through suggestions using virtual focus. Left/Right navigate between tokens—but only when the input is empty. This conditional is critical: if there's text in the input, arrows control cursor position within that text. Downshift's useMultipleSelection implements this cleanly by checking inputValue.length === 0 before enabling token navigation.

function handleKeyDown(e) {
  if (inputValue.length === 0) {
    if (e.key === 'ArrowLeft') {
      setActiveTokenIndex(prev =>
        prev === null ? tokens.length - 1 : Math.max(0, prev - 1)
      );
    }
    if (e.key === 'ArrowRight') {
      setActiveTokenIndex(prev =>
        prev === null ? 0 : Math.min(tokens.length - 1, prev + 1)
      );
    }
  }
}

Token Editing Patterns

Token editing patterns fall into four categories:

Pattern 1: Delete-and-Retype (Simplest)

Clicking a token removes it and places its text in the input. Most forgiving of edge cases.

function handleTokenClick(token) {
  deleteToken(token.id);
  setState({ inputValue: token.display });
}

Pattern 2: Inline Text Editing (Datadog)

The token expands into editable text inline.

function handleTokenClick(token) {
  setEditingTokenId(token.id);
  // Replace token with contenteditable or input
}

Pattern 3: Popover Editing (Linear)

Clicking opens a structured editor for operator and value.

function handleTokenClick(token) {
  showPopover({
    key: token.key,
    operator: token.operator,
    value: token.value,
    position: getTokenRect(token.id)
  });
}

Pattern 4: No Editing (Most Common)

Tokens can only be deleted and recreated. Safest for preventing invalid states.

For your implementation, start with delete-and-retype—it's the most forgiving of edge cases.

Context-Dependent Suggestions

Different values for different keys:

function getSuggestionsForContext(contextKey, query) {
  const cacheKey = `${contextKey}:${query}`;

  if (cache[cacheKey]) return cache[cacheKey];

  const suggestions = contextKey === 'status'
    ? ['open', 'closed', 'pending']
    : contextKey === 'assignee'
    ? fetchUsers(query)
    : fetchGeneric(contextKey, query);

  cache[cacheKey] = suggestions;
  return suggestions;
}

Maintain separate caches keyed by field name to prevent redundant fetches.

Key:Value Parsing

Extract structured data from text input:

function parseTokenInput(input) {
  // Simple pattern: "key:value"
  const colonMatch = input.match(/^([^:]+):(.+)$/);
  if (colonMatch) {
    return {
      key: colonMatch[1].trim(),
      operator: ':',
      value: colonMatch[2].trim(),
      display: input
    };
  }

  // Fallback: plain value
  return {
    value: input.trim(),
    display: input.trim()
  };
}

For complex operators, see webdev-filter-query-builder skill.

Multi-Select ARIA

Extend combobox ARIA with multi-select:

<div role="group" aria-label="Selected filters">
  <div role="button" tabindex="0" aria-label="Filter: status is error">
    status:error
  </div>
</div>

<input role="combobox" aria-multiselectable="true" />

<ul role="listbox" aria-multiselectable="true">
  <!-- suggestions -->
</ul>

<div role="status" aria-live="polite" aria-atomic="true">
  Filter 'status:error' added. 3 filters applied.
</div>

Live region: Announce token creation/deletion: "Filter added. 3 filters applied."

Multiple Selection Hook

Downshift provides useMultipleSelection:

const {
  getDropdownProps,
  addSelectedItem,
  removeSelectedItem,
  selectedItems
} = useMultipleSelection({
  selectedItems: tokens,
  onSelectedItemsChange: ({ selectedItems }) => setTokens(selectedItems)
});

const {
  getInputProps,
  getMenuProps,
  getItemProps,
  highlightedIndex
} = useCombobox({
  items: suggestions,
  onSelectedItemChange: ({ selectedItem }) => {
    if (selectedItem) {
      addSelectedItem(selectedItem);
      setInputValue('');
    }
  }
});

Implementation Checklist

✓ Implement base combobox (webdev-combobox-autocomplete)
✓ Add token state array and activeTokenIndex
✓ Implement token creation trigger (colon/Enter/comma)
✓ Add two-step backspace deletion
✓ Conditional arrow navigation (only when input empty)
✓ Choose token editing pattern (recommend delete-and-retype)
✓ Context-dependent suggestions with separate caches
✓ Key:value parsing for structured tokens
✓ Multi-select ARIA attributes
✓ Live region announcements

Common Use Cases

Filter bars: Observability tools (Datadog, Grafana)
Tag inputs: Content management, categorization
Email recipients: "To" and "CC" fields
Multi-select: Assign multiple users, categories, labels
Search chips: E-commerce faceted search

For domain-specific filter queries with operators and AST, see webdev-filter-query-builder.

Agent Skills: Webdev Token Input

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