openclaw-control-center

aradotso/trending-skills · updated Apr 8, 2026

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$npx skills add https://github.com/aradotso/trending-skills --skill openclaw-control-center
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Skill by ara.so — Daily 2026 Skills collection

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openclaw-control-center

Skill by ara.so — Daily 2026 Skills collection

OpenClaw Control Center transforms OpenClaw from a black box into a local, auditable control center. It provides visibility into agent activity, token spend, task execution chains, cross-session collaboration, memory state, and document sources — with security-first defaults that keep all mutations off by default.

What It Does

  • Overview: System health, pending items, risk signals, and operational summary
  • Usage: Daily/7d/30d token spend, quota, context pressure, subscription window
  • Staff: Who is actively executing vs. queued — not just "has tasks"
  • Collaboration: Parent-child session handoffs and verified cross-session messages (e.g. Main ⇄ Pandas)
  • Tasks: Task board, approvals, execution chains, run evidence
  • Memory: Per-agent memory health, searchability, and source file editing
  • Documents: Shared and agent-core documents opened from actual source files
  • Settings: Connector wiring status, security risk summary, update status

Installation

git clone https://github.com/TianyiDataScience/openclaw-control-center.git
cd openclaw-control-center
npm install
cp .env.example .env
npm run build
npm test
npm run smoke:ui
npm run dev:ui

Open:

  • http://127.0.0.1:4310/?section=overview&lang=zh
  • http://127.0.0.1:4310/?section=overview&lang=en

Use npm run dev:ui over UI_MODE=true npm run dev — more stable, especially on Windows shells.

Project Structure

openclaw-control-center/
├── control-center/          # All modifications must stay within this directory
│   ├── src/
│   │   ├── runtime/         # Core runtime, connectors, monitors
│   │   └── ui/              # Frontend UI components
│   ├── .env.example
│   └── package.json
├── docs/
│   └── assets/              # Screenshots and documentation images
├── README.md
└── README.en.md

Critical constraint: Only modify files inside control-center/. Never modify ~/.openclaw/openclaw.json.

Environment Configuration

Copy .env.example to .env and configure:

# Security defaults — do NOT change without understanding implications
READONLY_MODE=true
LOCAL_TOKEN_AUTH_REQUIRED=true
IMPORT_MUTATION_ENABLED=false
IMPORT_MUTATION_DRY_RUN=false
APPROVAL_ACTIONS_ENABLED=false
APPROVAL_ACTIONS_DRY_RUN=true

# Connection
OPENCLAW_GATEWAY_URL=http://127.0.0.1:PORT
OPENCLAW_HOME=~/.openclaw

# UI
PORT=4310
DEFAULT_LANG=zh

Security Flag Meanings

Flag Default Effect
READONLY_MODE true All state-changing endpoints disabled
LOCAL_TOKEN_AUTH_REQUIRED true Import/export and write APIs require local token
IMPORT_MUTATION_ENABLED false Import mutations blocked entirely
IMPORT_MUTATION_DRY_RUN false Dry-run mode for imports when enabled
APPROVAL_ACTIONS_ENABLED false Approval actions hard-disabled
APPROVAL_ACTIONS_DRY_RUN true Approval actions run as dry-run when enabled

Key Commands

# Development
npm run dev:ui          # Start UI server (recommended)
npm run dev             # One-shot monitor run, no HTTP UI

# Build & Test
npm run build           # TypeScript compile
npm test                # Run test suite
npm run smoke:ui        # Smoke test the UI endpoints

# Lint
npm run lint            # ESLint check
npm run lint:fix        # Auto-fix lint issues

TypeScript Code Examples

Connecting to the Runtime Monitor

import { createMonitor } from './src/runtime/monitor';

const monitor = createMonitor({
  gatewayUrl: process.env.OPENCLAW_GATEWAY_URL ?? 'http://127.0.0.1:4310',
  readonlyMode: process.env.READONLY_MODE !== 'false',
  localTokenAuthRequired: process.env.LOCAL_TOKEN_AUTH_REQUIRED !== 'false',
});

// Fetch current system overview
const overview = await monitor.getOverview();
console.log(overview.systemStatus);      // 'healthy' | 'degraded' | 'critical'
console.log(overview.pendingItems);      // number
console.log(overview.activeAgents);      // Agent[]

Reading Agent Staff Status

import { StaffConnector } from './src/runtime/connectors/staff';

const staff = new StaffConnector({ gatewayUrl: process.env.OPENCLAW_GATEWAY_URL });

// Get agents actively executing (not just queued)
const activeAgents = await staff.getActiveAgents();
activeAgents.forEach(agent => {
  console.log(`${agent.name}: ${agent.status}`);
  // 'executing' | 'queued' | 'idle' | 'blocked'
  console.log(`Current task: ${agent.currentTask?.title ?? 'none'}`);
  console.log(`Last output: ${agent.lastOutput}`);
});

// Get the full staff roster including queue depth
const roster = await staff.getRoster();

Tracing Cross-Session Collaboration

import { CollaborationTracer } from './src/runtime/connectors/collaboration';

const tracer = new CollaborationTracer({ gatewayUrl: process.env.OPENCLAW_GATEWAY_URL });

// Get parent-child session handoffs
const handoffs = await tracer.getSessionHandoffs();
handoffs.forEach(handoff => {
  console.log(`${handoff.parentSession}${handoff.childSession}`);
  console.log(`Delegated task: ${handoff.taskTitle}`);
  console.log(`Status: ${handoff.status}`);
});

// Get verified cross-session messages (e.g. Main ⇄ Pandas)
const crossSessionMessages = await tracer.getCrossSessionMessages();
crossSessionMessages.forEach(msg => {
  console.log(`${msg.fromAgent}${msg.toAgent}: ${msg.messageType}`);
  // messageType: 'sessions_send' | 'inter-session message'
});

Fetching Token Usage and Spend

import { UsageConnector } from './src/runtime/connectors/usage';

const usage = new UsageConnector({ gatewayUrl: process.env.OPENCLAW_GATEWAY_URL });

// Today's usage
const today = await usage.getUsageSummary(
how to use openclaw-control-center

How to use openclaw-control-center 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 openclaw-control-center
2

Execute installation command

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

$npx skills add https://github.com/aradotso/trending-skills --skill openclaw-control-center

The skills CLI fetches openclaw-control-center from GitHub repository aradotso/trending-skills 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/openclaw-control-center

Reload or restart Cursor to activate openclaw-control-center. Access the skill through slash commands (e.g., /openclaw-control-center) 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.

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)
  • No comments yet — start the thread.
general reviews

Ratings

4.746 reviews
  • Charlotte Yang· Dec 20, 2024

    openclaw-control-center fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Jin Chen· Dec 12, 2024

    openclaw-control-center reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Soo Chawla· Dec 4, 2024

    Registry listing for openclaw-control-center matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Charlotte Chen· Nov 27, 2024

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

  • Min Liu· Nov 23, 2024

    openclaw-control-center fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Henry White· Nov 11, 2024

    Registry listing for openclaw-control-center matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Noor Ndlovu· Oct 18, 2024

    openclaw-control-center reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Min Farah· Oct 14, 2024

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

  • Henry Abbas· Oct 2, 2024

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

  • Piyush G· Sep 21, 2024

    openclaw-control-center fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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