An AI-driven orchestration tool for planning, executing, and synthesizing deep advertising research across Meta, Google Ads, TikTok, and more.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deep-research-orchestrator
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 deep-research-orchestrator 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 Deep Research Orchestrator?
The Deep Research Orchestrator is a specialized tool designed to transform complex advertising queries into actionable strategic plans. By utilizing Openclaw Skills, this orchestrator moves beyond generic marketing advice to provide channel-aware logic for Meta, Google Ads, TikTok, Amazon Ads, and DSP platforms. It is built to handle the entire lifecycle of ad research, from decomposing questions into testable hypotheses to synthesizing multi-source evidence into decision-ready conclusions.
This skill is essential for growth teams who need to make high-stakes decisions regarding revenue, ROAS, and budget efficiency. By integrating this capability into your workflow, you ensure that every advertising experiment is backed by a structured research plan and a clear evidence table, minimizing risk and maximizing performance across diverse platforms.
Deep Research Orchestrator Use Cases
- Orchestrating deep competitor studies to identify shifts in creative strategy and offers.
- Stress testing internal growth hypotheses when platform data provides mixed signals.
- Generating board-level strategic briefs for quarterly channel direction and budget allocation.
- Executing systematic creative testing cadences for Meta and TikTok Ads.
How Deep Research Orchestrator Works
- Decomposes the primary research question into a set of granular, testable hypotheses.
- Defines a comprehensive source and evidence collection plan tailored to specific advertising platforms.
- Evaluates the strength and recency of evidence while identifying potential conflicts between data sources.
- Synthesizes evidence into channel-specific strategic implications, ensuring recommendations are platform-aware.
- Outputs a final strategic conclusion with actionable next experiments and mandatory stop-loss conditions.
Deep Research Orchestrator Setup
To integrate this capability using Openclaw Skills, you must configure your agent to recognize the orchestration input contract.
# Install the orchestrator skill via the CLI
openclaw install deep-research-orchestrator
Ensure your agent is provided with the mandatory research_question, hypothesis_set, and decision_deadline parameters to initialize the research pipeline.
Deep Research Orchestrator Data Schema & Taxonomy
The skill organizes its findings using a structured taxonomy to ensure data clarity and downstream compatibility with other Openclaw Skills.
| Component | Format | Purpose |
|---|---|---|
| Research Plan | YAML | Outlines hypotheses, sources, and confidence targets |
| Evidence Table | Markdown Table | Maps findings to specific campaigns or sources with confidence ratings |
| Hypothesis Eval | List | Ranks assumptions based on evidence strength and conflicts |
| Strategy Output | Text | Delivers the final decision and risk-weighted recommendations |
All outputs include at least one rollback or stop-loss condition to manage spend risk effectively.
Deep Research Orchestrator Advanced Features
- Platform-specific behavior guidance that prioritizes creative cadence for social ads and intent-capture for search ads.
- Automated risk-weighting logic that adjusts recommendations based on proximity to the decision deadline.
- Multi-agent orchestration support through standardized YAML research plans.
- Structured failure escalation for critical issues like tracking breakage, policy violations, or billing conflicts.
SKILL.md
Loading
Related Openclaw Skills
Deep Ads Analyst
A sophisticated strategic analysis engine that synthesizes cross-platform advertising data into actionable, hypothesis-driven growth plans.
Daily & Weekly Ads Report Generator
Automate the assembly, summarization, and action planning for advertising campaigns across major global platforms.
Ads CRM Lead Manager
A professional automation skill for scoring, routing, and managing lead follow-up cadences from major advertising platforms.
Ad Creative Quality Grader
A specialized AI skill for auditing, scoring, and optimizing advertising creatives across major platforms like Meta, TikTok, and Google Ads before they go live.
DTC Ads Helper
A diagnostic and optimization engine for Direct-to-Consumer brands to stabilize ROAS and scale ad spend across major platforms.
Funnel Ads Helper
A comprehensive diagnostic tool for identifying and fixing conversion bottlenecks across major paid advertising platforms.
Featured*
