An advanced agentic intelligence platform that orchestrates specialized AI agents to generate analytical dossiers and premium HTML presentations via Telegram or Web.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install orbit-platform
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install orbit-platform using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ORBIT Platform Operational Skill?
The ORBIT Platform is a robust ecosystem designed for applied agentive intelligence. It leverages a high-performance stack including Node.js, Fastify, and the OpenAI Agents SDK to manage a fleet of specialized agents. By utilizing Openclaw Skills, developers can efficiently maintain and expand this platform, which automates complex research, multi-source analysis, and high-end document generation.
At its core, ORBIT acts as a principal architect for agentic workflows, integrating a sophisticated Supabase backend to handle job queuing, execution tracing, and quality gates. Whether processing commands from a Telegram bot or a React-based Studio dashboard, the platform ensures every output meets rigorous analytical standards through a structured multi-agent pipeline.
ORBIT Platform Operational Skill Use Cases
- Building or expanding the ORBIT backend with Node.js, TypeScript, and Fastify.
- Implementing specialized agents for Web, Social, and Academic research using OpenAI SDK.
- Managing complex Supabase database schemas for jobs, evidence storage, and execution tracing.
- Developing premium HTML presentation engines and analytical dossier generators.
- Integrating Telegram webhooks into agentic research pipelines.
- Implementing automated Quality Gates to validate AI-generated content scores.
How ORBIT Platform Operational Skill Works
- Input Acquisition: Commands are received through a Telegram Webhook or the React Dashboard.
- Job Orchestration: A Command and Job entry is created in the Supabase database.
- Queue Processing: A worker pops the job from the queue using a dedicated RPC (
pop_intent_job_from_queue). - Agent Distribution: The Orchestrator agent interprets the intent and distributes tasks to Research, Analysis, and Dossier agents.
- Parallel Research: Web, Social, and Academic agents gather evidence and store it in the evidence_store.
- Synthesis & Quality: The Analysis agent crosses evidence to generate SWOT analysis, followed by a Quality Review agent that must grant a score of 7/10 or higher.
- Delivery: Results are persisted in Supabase and the user is notified via Telegram with a link to the HTML presentation.
ORBIT Platform Operational Skill Setup
To begin developing with this Openclaw Skills set, ensure your environment is configured with the necessary credentials found in /workspace/projeto/backend/.env.
Initialize Supabase Client
# Install dependencies
npm install @supabase/supabase-js @openai/agents fastify
import { createClient } from '@supabase/supabase-js'
const supabase = createClient(
process.env.SUPABASE_URL!,
process.env.SUPABASE_SERVICE_KEY!
)
Accessing the Pipeline
Ensure you have access to the Supabase project umwqxkggzrpwknptwwju to utilize the existing 26-table schema and RPC functions.
ORBIT Platform Operational Skill Data Schema & Taxonomy
The ORBIT platform utilizes a structured Supabase schema to ensure data integrity and traceability. Openclaw Skills users should adhere to the following table groups:
| Group | Tables | Primary Purpose |
|---|---|---|
| Core | commands, jobs, job_events |
Task lifecycle management |
| Research | research_reports, evidence_store |
Data gathering and source tracking |
| Quality | quality_gates, quality_evaluations |
Output validation and scoring |
| Traceability | execution_traces, handoff_log |
Debugging and agent performance monitoring |
| Output | dossiers, presentations |
Final analytical deliverables |
ORBIT Platform Operational Skill Advanced Features
- Multi-Agent Handoffs: Seamlessly transfer context between specialized agents using the OpenAI SDK.
- Automated Quality Gates: Programmable validation logic requiring minimum evidence counts and word lengths.
- Execution Tracing: Deep logging via
log_traceRPC for monitoring token usage, duration, and agent steps. - Real-time Dashboarding: Integration with Supabase Realtime for live status updates on the React Studio.
- Self-Contained Exports: Generation of premium HTML presentations with zero external dependencies for offline portability.
SKILL.md
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