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agentation▌

supercent-io/skills-template · updated Apr 8, 2026

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$npx skills add https://github.com/supercent-io/skills-template --skill agentation
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skill.md

agentation — Visual UI Feedback Bridge for AI Agents

The missing link between human eyes and agent code.

Instead of describing "the blue button in the sidebar," you hand the agent .sidebar > button.primary. It can grep for that directly.

When to use this skill

  • Human needs to point at a UI element and give feedback — without writing selectors
  • Running iterative UI/UX review cycles between human and coding agent
  • Building a watch-loop where agent auto-fixes every annotation a human leaves
  • Capturing CSS selectors, bounding boxes, and React component trees for precise code targeting
  • Autonomous design critique via agent-browser + self-driving pattern
  • Integrating visual feedback into agent hooks so annotations auto-appear in agent context

1. Architecture

agentation (monorepo)
├── agentation          → npm: agentation (React toolbar component)
│   └── src/index.ts   → exports Agentation component + types + utilities
└── agentation-mcp      → npm: agentation-mcp (MCP server + CLI)
    ├── src/cli.ts      → agentation-mcp CLI (init, server, doctor)
    └── src/server/     → HTTP REST API (port 4747) + SSE events + MCP stdio tools

Two modes of operation:

Mode How it works
Copy-Paste Human annotates → clicks Copy → pastes markdown into agent chat
Agent Sync endpoint prop connects toolbar to MCP server → agent uses agentation_watch_annotations loop

2. Installation

2.1 React Component (toolbar)

npm install agentation -D
# or: pnpm add agentation -D  /  yarn add agentation -D  /  bun add agentation -D

Requirements: React 18+, desktop browser, zero runtime deps beyond React (desktop only — no mobile)

🔗 Local-first by design: Annotations are stored locally and auto-sync when connected to the MCP server.

  • Offline operation — Annotations can be created without a server
  • Session continuity — Same session persists after page refresh, no duplicates
  • Agent-first — resolve/dismiss is handled by the agent

2.2 MCP Server — Universal Setup (Recommended)

Fastest method — Auto-detects all installed agents and configures them (Claude Code, Cursor, Codex, Windsurf, and 9+ more agents):

npx add-mcp "npx -y agentation-mcp server"

Or install manually:

npm install agentation-mcp -D
npx agentation-mcp server          # HTTP :4747 + MCP stdio
npx agentation-mcp server --port 8080   # custom port
npx agentation-mcp doctor          # verify setup

2.3 Claude Code — Official Skill (Minimal Setup)

Recommended for Claude Code users — automatically handles framework detection, package installation, and layout integration:

npx skills add benjitaylor/agentation
# then in Claude Code:
/agentation

3. React Component Setup

Basic (Copy-Paste mode — no server needed)

import { Agentation } from 'agentation';

function App() {
  return (
    <>
      <YourApp />
      {process.env.NODE_ENV === 'development' && <Agentation />}
    </>
  );
}

Next.js App Router

// app/layout.tsx
import { Agentation } from 'agentation';

export default function RootLayout({ children }: { children: React.ReactNode }) {
  return (
    <html>
      <body>
        {children}
        {process.env.NODE_ENV === 'development' && (
          <Agentation endpoint="http://localhost:4747" />
        )}
      </body>
    </html>
  );
}

Next.js Pages Router

// pages/_app.tsx
import { Agentation } from 'agentation';

export default function App({ Component, pageProps }) {
  return (
    <>
      <Component {...pageProps} />
      {process.env.NODE_ENV === 'development' && (
        <Agentation endpoint="http://localhost:4747" />
      )}
    </>
  );
}

Full Props Reference

Prop Type Default Description
endpoint string — MCP server URL for Agent Sync mode
sessionId string — Pre-existing session ID to join
onAnnotationAdd (a: Annotation) => void — Callback when annotation created
onAnnotationDelete (a: Annotation) => void — Callback when annotation deleted
onAnnotationUpdate (a: Annotation) => void — Callback when annotation edited
onAnnotationsClear (a: Annotation[]) => void — Callback when all cleared
onCopy (markdown: string) => void — Callback with markdown on copy
onSubmit (output: string, annotations: Annotation[]) => void — On "Send Annotations" click
copyToClipboard boolean true Set false to suppress clipboard write
onSessionCreated (sessionId: string) => void — Called on new session creation
webhookUrl string — Webhook URL to receive annotation events

4. MCP Server Setup — All Platforms

Fastest method — Universal (auto-detects 9+ agents):

npx add-mcp "npx -y agentation-mcp server"

add-mcp auto-detects Claude Code, Cursor, Codex, Windsurf, and more, writing directly to the correct config.

Start server / verify:

npx agentation-mcp server          # HTTP :4747 + MCP stdio
npx agentation-mcp server --port 8080   # custom port
npx agentation-mcp doctor          # verify setup

Claude Code (.claude/)

Minimal setup — Official Claude Code Skill (Recommended):

npx skills add benjitaylor/agentation
# In Claude Code:
/agentation

Universal MCP auto-setup (Claude Code + 9+ agents):

npx add-mcp "npx -y agentation-mcp server"

Interactive wizard (Claude Code only):

npx agentation-mcp init

Option A — CLI (recommended):

claude mcp add agentation -- npx -y agentation-mcp server

Option B — config file (~/.claude/claude_desktop_config.json for global, or .claude/mcp.json for project-level):

{
  "mcpServers": {
    "agentation": {
      "command": "npx",
      "args": ["-y", "agentation-mcp", "server"]
    }
  }
}

Interactive wizard (Claude Code only):

npx agentation-mcp init

UserPromptSubmit hook — auto-inject pending annotations on every message. Add to .claude/settings.json (project) or ~/.claude/settings.json (global):

{
  "hooks": {
    "UserPromptSubmit": [
      {
        "type": "command",
        "command": "curl -sf --connect-timeout 1 http://localhost:4747/pending 2>/dev/null | python3 -c \"import sys,json;d=json.load(sys.stdin);c=d['count'];exit(0)if c==0 else[print(f'\\n=== AGENTATION: {c} UI annotations ===\\n'),*[print(f\\\"[{i+1}] {a['element']} ({a['elementPath']})\\n    {a['comment']}\\n\\\")for i,a in enumerate(d['annotations'])],print('=== END ===\\n')]\" 2>/dev/null;exit 0"
      }
    ]
  }
}

Codex CLI (~/.codex/)

Add to ~/.codex/config.toml:

# Agentation MCP Server
[[mcp_servers]]
name = "agentation"
command = "npx"
args = ["-y", "agentation-mcp", "server"]

# Optional: teach Codex about watch-loop
developer_instructions = """
When user says "watch mode" or "agentation watch", call agent
how to use agentation

How to use agentation on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add agentation
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/supercent-io/skills-template --skill agentation

The skills CLI fetches agentation from GitHub repository supercent-io/skills-template and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/agentation

Reload or restart Cursor to activate agentation. Access the skill through slash commands (e.g., /agentation) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.8★★★★★31 reviews
  • ★★★★★Benjamin Li· Dec 16, 2024

    Useful defaults in agentation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • ★★★★★Pratham Ware· Dec 12, 2024

    I recommend agentation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Aisha Bansal· Sep 25, 2024

    Solid pick for teams standardizing on skills: agentation is focused, and the summary matches what you get after install.

  • ★★★★★Lucas Brown· Sep 13, 2024

    Registry listing for agentation matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Yash Thakker· Sep 1, 2024

    agentation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Dhruvi Jain· Aug 20, 2024

    agentation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Zaid Abebe· Aug 16, 2024

    We added agentation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Dev Anderson· Aug 4, 2024

    Keeps context tight: agentation is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Fatima Anderson· Jul 23, 2024

    agentation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Zaid Iyer· Jul 15, 2024

    I recommend agentation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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