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Mrjoel97
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marketing

Run research-led go-to-market operations with approval-gated scheduling for Pikar-AI.

1|Updated Mar 14, 2026
Search Tags:#research#marketing#go-to-market#content-strategy#competitor-analysis#channel-ops
One-click install
npx skills add https://github.com/Mrjoel97/PIKAR-AI --skill marketing-mrjoel97
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: marketing
Source: https://github.com/Mrjoel97/PIKAR-AI/tree/main/skills/marketing
Command: npx skills add https://github.com/Mrjoel97/PIKAR-AI --skill marketing-mrjoel97

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill eliminates guesswork in go-to-market and channel operations by insisting on evidence-led research before any strategy or content is created, ensuring marketing efforts are grounded in real competitor, channel, and viral-content signals rather than assumptions.

Core Features & Use Cases

  • Research-First Workflow: Runs discovery interviews and builds a fresh research pack (market landscape, audience language, competitor teardowns, channel benchmarks, viral framework library) before any creation or scheduling.
  • Strategy Synthesis & Briefing: Produces marketing briefs and execution timelines grounded in observed patterns and competitor evidence.
  • Specialist Orchestration: Dispatches and coordinates specialist agents (market researcher, competitive intel, content, growth, social, PR, community, channel ops) with clear inputs and deliverables.
  • Approval-First Channel Operations: Drafts, queues, schedules, monitors, and reports on channels while enforcing strict guardrails that prevent publishing, sending, or budget changes without explicit approval.
  • Use Case Example: Build a waiting-list launch: run discovery, create research pack, synthesize a marketing brief, dispatch Growth Hacker and Content Marketer, prepare an approval queue for social and email sequences.

Quick Start

Ask the marketing skill to run a discovery interview and build a fresh research pack for Pikar-AI covering competitors, channels, viral content, and a pattern library.

Frequently Asked Questions about marketing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a research-first go-to-market strategy?▼

Build a research-first go-to-market strategy by running discovery interviews to create a research pack containing competitor teardowns, channel benchmarks, and viral frameworks before synthesizing marketing briefs or scheduling content.

What is approval-first channel operations for marketing?▼

Approval-first channel operations enforce strict guardrails that prevent publishing, sending, or budget changes across social, email, PR, and community channels without explicit prior approval.

How do I conduct competitor analysis and channel research before a launch?▼

Conduct competitor analysis and channel research by dispatching specialist agents to gather evidence, producing competitor teardowns and channel benchmarks that inform an approval-ready content queue for launch.

Can I dispatch specialist marketing agents for content strategy and growth?▼

Yes, you can dispatch and coordinate specialist agents for market research, competitive intelligence, content creation, growth hacking, and PR, each receiving clear inputs and delivering specific research or content outputs.

What is the best way to manage viral content frameworks for social channels?▼

The best way to manage viral content frameworks is to build a viral-framework library from observed channel signals and house it within a research pack before drafting approval-gated social queues.

Does this approach work for orchestrating a waiting-list product launch?▼

Yes, this approach works for a waiting-list launch by running discovery, synthesizing a marketing brief, dispatching growth and content agents, and preparing an approval queue for social and email sequences.

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