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Agent skill
Recognition Pickers And Palettes
by hashgraph-online in hashgraph-online/awesome-codex-plugins
A skill your agent uses when designing pickers, dropdowns, comboboxes, autocompletes, command palettes, or any UI that lets the user select from a known set.
Install Recognition Pickers And Palettes
$ npx skills add hashgraph-online/awesome-codex-plugins --skill recognition-pickers-and-palettes -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins recognition-pickers-and-palettes --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes .claude/skills/recognition-pickers-and-palettes && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "recognition-pickers-and-palettes" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes into .claude/skills/recognition-pickers-and-palettes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recognition-pickers-and-palettes", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill recognition-pickers-and-palettes -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins recognition-pickers-and-palettes --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes .agents/skills/recognition-pickers-and-palettes && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "recognition-pickers-and-palettes" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes into .agents/skills/recognition-pickers-and-palettes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recognition-pickers-and-palettes", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill recognition-pickers-and-palettes -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins recognition-pickers-and-palettes --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes .cursor/skills/recognition-pickers-and-palettes && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "recognition-pickers-and-palettes" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes into .cursor/skills/recognition-pickers-and-palettes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recognition-pickers-and-palettes", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill recognition-pickers-and-palettes -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins recognition-pickers-and-palettes --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes .gemini/skills/recognition-pickers-and-palettes && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "recognition-pickers-and-palettes" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes into .gemini/skills/recognition-pickers-and-palettes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recognition-pickers-and-palettes", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hashgraph-online/awesome-codex-plugins recognition-pickers-and-palettesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill recognition-pickers-and-palettes -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes .github/skills/recognition-pickers-and-palettes && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "recognition-pickers-and-palettes" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes into .github/skills/recognition-pickers-and-palettes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recognition-pickers-and-palettes", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill recognition-pickers-and-palettes -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins recognition-pickers-and-palettes --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes .opencode/skills/recognition-pickers-and-palettes && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "recognition-pickers-and-palettes" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes into .opencode/skills/recognition-pickers-and-palettes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recognition-pickers-and-palettes", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
recognition-pickers-and-palettes- GitHub stars
- 1.3k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 416 words
- Files
- 2 (incl. references)
- Skills in repo
- 716
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when designing pickers, dropdowns, comboboxes, autocompletes, command palettes, or any UI that lets the user select from a known set.
- Works in 3 steps: The "what's available?" test. For each… → The set-size match. Match the picker… → The recents-presence audit. For pickers…
- Designing pickers
- SKILL.md covers The picker ladder by set size, Patterns, Combobox accessibility and Anti-patterns, plus 2 more sections
- Calls go
What it does
Recognition Pickers And Palettes is an agent skill from hashgraph-online/awesome-codex-plugins. Use this skill when designing pickers, dropdowns, comboboxes, autocompletes, command palettes, or any UI that lets the user select from a known set. Trigger when picking between a free-text field and a select; when designing a command palette; when reviewing why users keep typing wrong values into autocomplete inputs. Sub-aspect of recognition-over-recall; read that first.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/picker-pattern-catalog.md`).
It sits in Frontend & Design. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
When your agent uses it
- Designing pickers
- Command palettes
- Any UI that lets the user select from a known set
- Picking between a free-text field and a select
Example prompts
- “/recognition-pickers-and-palettes”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- The "what's available?" test. For each input, ask: how does the user know what valid options are? If they don't, you're requiring recall.
- The set-size match. Match the picker pattern to the option count.
- The recents-presence audit. For pickers used repeatedly, are recents surfaced? If not, every selection is a fresh recognition task.
What it can do on your machine
Read from SKILL.md and the folder at commit 3e1456a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
go
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Recognition Pickers And Palettes loads about 1.1k tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 416 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its Apache-2.0 licence (© hashgraph-online). 416 words, ~1,146 tokens.
Download SKILL.mdSave it as
.claude/skills/recognition-pickers-and-palettes/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- recognition-pickers-and-palettes
- description
- Use this skill when designing pickers, dropdowns, comboboxes, autocompletes, command palettes, or any UI that lets the user select from a known set. Trigger when picking between a free-text field and a select; when designing a command palette; when reviewing why users keep typing wrong values into autocomplete inputs. Sub-aspect of `recognition-over-recall`; read that first.
Pickers, palettes, and recognition-based selection
Selection UI is the most direct application of recognition-over-recall. Showing the user a list of valid options — visually scannable or filterable — beats requiring them to type from memory.
The picker ladder by set size
Different selection patterns suit different option counts:
| Option count | Pattern | Notes |
|---|---|---|
| 2 | Toggle / switch | Visual either-or |
| 3–5 | Radio group / segmented | All options visible |
| 5–8 | Select dropdown | Visible on click |
| 8–20 | Grouped select | Categorical chunking helps |
| 20+ | Combobox / typeahead | Filter-as-you-type |
| 100+ | Search-first picker | Search-driven; recents augment |
Going lighter than the count permits forces unnecessary recall. Going heavier adds complexity without benefit.
Patterns
Combobox / typeahead
<combobox label="Country">
<input placeholder="Search countries..." />
<listbox>
<option>United States</option>
<option>United Kingdom</option>
<!-- filtered as user types -->
</listbox>
</combobox>The user types partial recall; the system filters; the user recognizes the right option. Tolerates typos with fuzzy matching.
Command palette (cmd-K)
A palette that lists actions, navigation destinations, and search:
[ ⌘K opens palette ]
Search:
> Recents
Create invoice
Open settings
> Actions
Search projects
Invite teammate
> Navigation
Go to Dashboard
Go to ProjectsCategorical groups + search + recents = recognition for nearly any command.
Recents at the top of pickers
<combobox label="Assignee">
<listbox>
<group label="Recent">
<option>Maria Mendoza</option>
<option>Lin Chen</option>
</group>
<group label="All members">
<!-- alphabetical -->
</group>
</listbox>
</combobox>Repeat-task speed via recents.
Suggestions and predictions
For inputs where the system can predict likely values:
<input
name="email"
type="email"
autocomplete="email"
list="email-suggestions"
/>
<datalist id="email-suggestions">
<option value="user@example.com" />
<option value="user@gmail.com" />
</datalist>The browser surfaces matching options; the user recognizes and selects.
Visual pickers for inherently-visual content
For colors, dates, locations, etc., visual pickers are more recognition-friendly than coded inputs:
- Color picker (visual swatch grid) beats hex code input.
- Date picker (calendar) beats text date input.
- Map picker (visual location) beats lat/long input.
Combobox accessibility
The WAI-ARIA Combobox pattern documents the keyboard interaction:
Tabenters the input.- Arrow keys navigate the listbox.
- Enter selects the highlighted option.
- Esc closes the listbox without selection.
Reach for an accessible combobox library (Radix, React Aria, Headless UI) rather than rolling your own — focus management and ARIA are easy to get wrong.
Show full SKILL.md (146 more words)Show less
Anti-patterns
- Free-text where a picker would do. Asking users to type "United States" exactly when a dropdown could show options.
- Empty pickers that require typing to see anything (vs. showing options on focus).
- Picker without filter for sets larger than ~10 items. Scrolling 200 items is slow.
- No recents. Users repeatedly retype the same destinations.
- Picker labels that don't match user vocabulary. Showing internal names instead of friendly names.
Heuristics
- The "what's available?" test. For each input, ask: how does the user know what valid options are? If they don't, you're requiring recall.
- The set-size match. Match the picker pattern to the option count.
- The recents-presence audit. For pickers used repeatedly, are recents surfaced? If not, every selection is a fresh recognition task.
Related sub-skills
recognition-over-recall(parent).recognition-recents-and-suggestions— accelerating repeat tasks.hicks-law-menus— picker design under decision-time constraints.accessibility-operable— comboboxes are notorious accessibility-test surfaces.
© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes of hashgraph-online/awesome-codex-plugins.
- SKILL.md
- references/picker-pattern-catalog.md
Open the folder on GitHubat commit 3e1456a
Compare with similar skills
Recognition Pickers And Palettes next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Recognition Pickers And Palettes this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Web Artifacts Builderanthropics/skills | 180k | 40 repos | ~769 | Automated safety check: Pass | Apache-2.0 | |
| React Doctormakeplane/plane | 61k | 12 repos | ~657 | Automated safety check: Pass | AGPL-3.0 | |
| Impeccablebestofjs/bestofjs | 3.1k | 26 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Figma Design System Builderwarpdotdev/warp | 65k | 2 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Web Interface Guidelines Reviewervercel-labs/openreview | 1.7k | 97 repos | ~308 | Automated safety check: Pass | None |
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Related
Categories
Questions about Recognition Pickers And Palettes
What does Recognition Pickers And Palettes do?
A skill your agent uses when designing pickers, dropdowns, comboboxes, autocompletes, command palettes, or any UI that lets the user select from a known set. Recognition Pickers And Palettes is an agent skill from hashgraph-online/awesome-codex-plugins. Use this skill when designing pickers, dropdowns, comboboxes, autocompletes, command palettes, or any UI that lets the user select from a known set.
When should I use Recognition Pickers And Palettes?
Recognition Pickers And Palettes fits situations like: designing pickers; command palettes; any UI that lets the user select from a known set; picking between a free-text field and a select.
How do I install Recognition Pickers And Palettes in Claude Code?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill recognition-pickers-and-palettes -a claude-code`. Or copy the skill folder (plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes in hashgraph-online/awesome-codex-plugins) into .claude/skills/recognition-pickers-and-palettes in your project. Claude Code loads it when a task matches its description.
How do I install Recognition Pickers And Palettes in Codex?
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill recognition-pickers-and-palettes -a codex`. Or copy the skill folder (plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/recognition-pickers-and-palettes in hashgraph-online/awesome-codex-plugins) into .agents/skills/recognition-pickers-and-palettes in your project. Codex loads it when a task matches its description.
Can I use Recognition Pickers And Palettes in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill recognition-pickers-and-palettes -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recognition-pickers-and-palettes, .gemini/skills/recognition-pickers-and-palettes, .github/skills/recognition-pickers-and-palettes and .opencode/skills/recognition-pickers-and-palettes in your project.
What does Recognition Pickers And Palettes need to run?
Going by SKILL.md and its folder, Recognition Pickers And Palettes needs the command-line tools its instructions call (go).
Does Recognition Pickers And Palettes access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Recognition Pickers And Palettes safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Recognition Pickers And Palettes use?
Recognition Pickers And Palettes is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Recognition Pickers And Palettes use?
About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 322 tokens, read only when the agent opens those files.
What are the alternatives to Recognition Pickers And Palettes?
Skills that share tags, products or a category with Recognition Pickers And Palettes: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 61k stars), Impeccable (bestofjs/bestofjs, 3.1k stars) and Figma Design System Builder (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Recognition Pickers And Palettes?
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.