deep-research-orchestrator

# Deep Ads Research

## Purpose
Core mission:
- research workflow orchestration, source plan, synthesis output

This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.

## When To Trigger
Use this skill when the user asks for:
- ad execution guidance tied to business outcomes
- growth decisions involving revenue, roas, cpa, or budget efficiency
- platform-level actions for: Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, DSP/programmatic
- this specific capability: research workflow orchestration, source plan, synthesis output

High-signal keywords:
- ads, advertising, campaign, growth, revenue, profit
- roas, cpa, roi, budget, bidding, traffic, conversion, funnel
- meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

## Input Contract
Required:
- research_question
- hypothesis_set
- decision_deadline

Optional:
- source_preferences
- confidence_target
- excluded_assumptions
- output_depth

## Output Contract
1. Research Plan
2. Evidence Table
3. Hypothesis Evaluation
4. Strategic Conclusion
5. Actionable Next Experiments

## Workflow
1. Decompose research question into testable hypotheses.
2. Define source and evidence collection plan.
3. Evaluate evidence strength and conflicts.
4. Synthesize implications for ad strategy.
5. Output decisions and follow-up experiments.

## Decision Rules
- If evidence quality is weak, state limitation and avoid hard claims.
- If hypotheses conflict, rank by evidence strength and recency.
- If decision deadline is near, provide best-effort recommendation with risk notes.

## Platform Notes
Primary scope:
- Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, DSP/programmatic

Platform behavior guidance:
- Keep recommendations channel-aware; do not collapse all channels into one generic plan.
- For Meta and TikTok Ads, prioritize creative testing cadence.
- For Google Ads and Amazon Ads, prioritize demand-captu...