Agent skill

faion-gtm-manifest

GTM Manifest from research data. Triggers: gtm, go-to-market, launch strategy.

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/faion-gtm-manifest

SKILL.md

GTM Manifest Orchestrator

Communication: User's language. Docs: English.

Prerequisites

Requires completed research in product_docs/:

  • market-research.md
  • competitive-analysis.md
  • user-personas.md
  • pricing-research.md

If missing → run faion-product-research first.

Workflow

1. Read product research docs
2. AskUserQuestion: sales model, timeline
3. Generate 12 sections sequentially
4. Combine into gtm-manifest-full.md

Output

product_docs/gtm-manifest/
├── 01-executive-summary.md
├── 02-market-context.md
├── 03-icp.md
├── 04-value-proposition.md
├── 05-positioning.md
├── 06-messaging-framework.md
├── 07-pricing-packaging.md
├── 08-sales-model.md
├── 09-marketing-channels.md
├── 10-launch-plan.md
├── 11-success-metrics.md
├── 12-risks-mitigations.md
└── gtm-manifest-full.md

Sections

# Section Key Content
01 Executive Summary Vision, market opportunity, strategy
02 Market Context TAM/SAM/SOM, trends from research
03 ICP Ideal Customer Profile from personas
04 Value Proposition Core benefits, differentiation
05 Positioning vs competitors, unique angle
06 Messaging Headlines, taglines, key messages
07 Pricing Tiers, packaging from research
08 Sales Model PLG/Sales-led/Hybrid
09 Channels Marketing channels, priorities
10 Launch Plan Timeline, milestones
11 Metrics KPIs, success criteria
12 Risks Risks and mitigations

Strategy Questions

python
AskUserQuestion(
    questions=[
        {
            "question": "Sales model?",
            "options": [
                {"label": "PLG", "description": "Product-Led Growth"},
                {"label": "Sales-Led", "description": "Enterprise sales"},
                {"label": "Hybrid", "description": "PLG + Sales"}
            ]
        },
        {
            "question": "Launch timeline?",
            "options": [
                {"label": "MVP", "description": "3-6 months"},
                {"label": "Full", "description": "6-12 months"}
            ]
        }
    ]
)

Execution

For each section, use Task with general-purpose agent:

python
for section in SECTIONS:
    Task(
        subagent_type="general-purpose",
        prompt=f"""
PROJECT: {project}
SECTION: {section.name}
RESEARCH: {research_data}
OUTPUT: product_docs/gtm-manifest/{section.file}

Write {section.name} section using research data.
Follow standard GTM format.
"""
    )

Final Merge

python
# Combine all sections
sections = sorted(glob("product_docs/gtm-manifest/*.md"))
full_content = "\n\n---\n\n".join([read(s) for s in sections])
write("product_docs/gtm-manifest/gtm-manifest-full.md", full_content)

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