Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.

MITAuto-check passedFrontend & Design

Install Agentic

skills CLI
$ npx skills add bergside/awesome-design-skills --skill agentic -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bergside/awesome-design-skills agentic --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bergside/awesome-design-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agentic .claude/skills/agentic && rm -rf skills-src

Use ~/.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/

Facts

Skill name
agentic
GitHub stars
3.1k
Used in
1 other repo
Token cost
~991 tokens
SKILL.md length
437 words
Files
2
Skills in repo
67
Repo updated
First seen
Licence
MIT

At a glance

Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.

  • Works in 6 steps: Restate the design intent in one… → Define tokens and foundational… → Specify component anatomy, states,… → …
  • Tasks that involve Chatbots and conversational support
  • SKILL.md covers Mission, Brand, Style Foundations and Accessibility, plus 9 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agentic is an agent skill from bergside/awesome-design-skills. Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `DESIGN.md`).

It sits in Frontend & Design, covering Chatbots and conversational support and Accessibility. The repository describes itself as: List of 67 awesome DESIGN.md and SKILL.md design skill files for agentic tools like Claude Design, Google Stitch, Codex, Cursor, and other AI tools. The licence is MIT.

When your agent uses it

  • Tasks that involve Chatbots and conversational support
  • Tasks that involve Accessibility

Example prompts

  • “/agentic”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Restate the design intent in one sentence before proposing rules.
  2. Define tokens and foundational constraints before component-level guidance.
  3. Specify component anatomy, states, variants, and interaction behavior.
  4. Include accessibility acceptance criteria and content-writing expectations.
  5. Add anti-patterns and migration notes for existing inconsistent UI.
  6. End with a QA checklist that can be executed in code review.

What it can do on your machine

Read from SKILL.md and the folder at commit f631a09. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Agentic loads about 991 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 437 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~991

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 bergside/awesome-design-skills at commit f631a09, republished under its MIT licence (© bergside). 437 words, ~991 tokens.

Download SKILL.mdSave it as .claude/skills/agentic/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
agentic
description
Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.
license
MIT
metadata.author
typeui.sh
<!-- TYPEUI_SH_MANAGED_START -->

Agentic Design System Skill (Universal)

Mission

You are an expert design-system guideline author for Agentic. Create practical, implementation-ready guidance that can be directly used by engineers and designers.

Brand

The agentic design style emphasizes conversational interactions, clear outcomes, and minimal controls, allowing users to delegate tasks to AI instead of manually managing complex workflows.

Style Foundations

  • Visual style: modern, bold
  • Typography scale: 14/16/18/24/32/40 | Fonts: primary=Playfair Display, display=Playfair Display, mono=JetBrains Mono | weights=100, 200, 300, 400, 500, 600, 700, 800, 900
  • Color palette: surface/subtle layers | Tokens: primary=#FF5701, secondary=#F6F6F1, success=#16A34A, warning=#D97706, danger=#DC2626, surface=#FFFFFF, text=#111827
  • Spacing scale: 8pt baseline grid

Accessibility

WCAG 2.2 AA, keyboard-first interactions, visible focus states, semantic HTML before ARIA, screen-reader tested labels, reduced-motion support, 44px+ touch targets, high-contrast support

Writing Tone

concise, confident, helpful, clear, friendly, professional, action-oriented, low-jargon

Rules: Do

  • prefer semantic tokens over raw values
  • preserve visual hierarchy
  • keep interaction states explicit
  • design for empty/loading/error states
  • ensure responsive behavior by default
  • document accessibility rationale

Rules: Don't

  • avoid low contrast text
  • avoid inconsistent spacing rhythm
  • avoid decorative motion without purpose
  • avoid ambiguous labels
  • avoid mixing multiple visual metaphors
  • avoid inaccessible hit areas

Expected Behavior

  • Follow the foundations first, then component consistency.
  • When uncertain, prioritize accessibility and clarity over novelty.
  • Provide concrete defaults and explain trade-offs when alternatives are possible.
  • Keep guidance opinionated, concise, and implementation-focused.

Guideline Authoring Workflow

  1. Restate the design intent in one sentence before proposing rules.
  2. Define tokens and foundational constraints before component-level guidance.
  3. Specify component anatomy, states, variants, and interaction behavior.
  4. Include accessibility acceptance criteria and content-writing expectations.
  5. Add anti-patterns and migration notes for existing inconsistent UI.
  6. End with a QA checklist that can be executed in code review.
Show full SKILL.md (159 more words)Show less

Required Output Structure

When generating design-system guidance, use this structure:

  • Context and goals
  • Design tokens and foundations
  • Component-level rules (anatomy, variants, states, responsive behavior)
  • Accessibility requirements and testable acceptance criteria
  • Content and tone standards with examples
  • Anti-patterns and prohibited implementations
  • QA checklist

Component Rule Expectations

  • Define required states: default, hover, focus-visible, active, disabled, loading, error (as relevant).
  • Describe interaction behavior for keyboard, pointer, and touch.
  • State spacing, typography, and color-token usage explicitly.
  • Include responsive behavior and edge cases (long labels, empty states, overflow).

Quality Gates

  • No rule should depend on ambiguous adjectives alone; anchor each rule to a token, threshold, or example.
  • Every accessibility statement must be testable in implementation.
  • Prefer system consistency over one-off local optimizations.
  • Flag conflicts between aesthetics and accessibility, then prioritize accessibility.

Example Constraint Language

  • Use "must" for non-negotiable rules and "should" for recommendations.
  • Pair every do-rule with at least one concrete don't-example.
  • If introducing a new pattern, include migration guidance for existing components.
<!-- TYPEUI_SH_MANAGED_END -->

© bergside, MIT. 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 in skills/agentic of bergside/awesome-design-skills.

  • SKILL.md
  • DESIGN.md

Open the folder on GitHubat commit f631a09

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in bergside/awesome-design-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agentic 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.

Agentic compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agentic this skillbergside/awesome-design-skills3.1k1 repos~991Automated safety check: PassMIT
AI Chatthedaviddias/ux-patterns-for-developers258—~989Automated safety check: PassCustom licence
Web Interface Guidelines Reviewervercel-labs/openreview1.7k98 repos~308Automated safety check: PassNone
Accessibility Reviewmarkmead/hyperui12k1 repos~1.1kAutomated safety check: PassMIT
Web Animation DesignbaptisteArno/typebot.io11k2 repos~2.7kAutomated safety check: PassCustom licence
Accessibility Fixeribelick/ui-skills9.5k4 repos~1.2kAutomated safety check: PassMIT

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Questions about Agentic

What does Agentic do?

Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows. Agentic is an agent skill from bergside/awesome-design-skills. Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic workflows.

When should I use Agentic?

Agentic fits situations like: tasks that involve Chatbots and conversational support; tasks that involve Accessibility.

How do I install Agentic in Claude Code?

Run `npx skills add bergside/awesome-design-skills --skill agentic -a claude-code`. Or copy the skill folder (skills/agentic in bergside/awesome-design-skills) into .claude/skills/agentic in your project. Claude Code loads it when a task matches its description.

How do I install Agentic in Codex?

Run `npx skills add bergside/awesome-design-skills --skill agentic -a codex`. Or copy the skill folder (skills/agentic in bergside/awesome-design-skills) into .agents/skills/agentic in your project. Codex loads it when a task matches its description.

Can I use Agentic 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 bergside/awesome-design-skills --skill agentic -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentic, .gemini/skills/agentic, .github/skills/agentic and .opencode/skills/agentic in your project.

What does Agentic need to run?

SKILL.md names no scripts, command-line tools or credentials: Agentic is instructions for the agent only.

Does Agentic 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 Agentic 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 Agentic use?

Agentic is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agentic use?

About 991 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agentic?

Skills that share tags, products or a category with Agentic: AI Chat (thedaviddias/ux-patterns-for-developers, 258 stars), Web Interface Guidelines Reviewer (vercel-labs/openreview, 1.7k stars), Accessibility Review (markmead/hyperui, 12k stars) and Web Animation Design (baptisteArno/typebot.io, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agentic?

bergside (a GitHub organization) maintains it in bergside/awesome-design-skills, which has 3,081 GitHub stars. The repository holds 67 skills in this directory. The repository was last updated on June 28, 2026.

Source: bergside/awesome-design-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.