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gingiris-1031/gingiris-skills

go-to-market-playbook

A reusable Go-to-Market strategy template for both B2B and B2C launches. Covers positioning, messaging, ICP definition, channel selection, and competitive analysis frameworks. By @WeiYipei.

First seen Jun 17, 2026

Installation

$ npx skills add gingiris-1031/gingiris-skills --skill go-to-market-playbook
View on skills.sh ↗ GitHub repository ↗

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 77
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,376 B
  • docs SUMMARY.md 218 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 149 installs

SKILL.md

⚠️ 区分 B2B 与 2C

本 skill 默认偏 dev / 开源 / B2B SaaS。若产品是 2C 消费品 / 教育 / 应用 / 游戏：核心指标换成 D1/D7/D30 留存、激活率、病毒系数 K（非 MRR/CAC/LTV）；冷启动渠道换成垂类社区 / 短视频 / 垂直 KOL（非 PH/HN/LinkedIn）。完整 2C 适配指南 + 各国渠道公开数据见 → gingiris-seo-geo/references/2c-adaptation.md。

📦 Install

clawhub install go-to-market-playbook

What you get after installing:

  • Positioning canvas and ICP worksheet you can fill in for any product launch
  • Channel-market fit matrix matching distribution to your buyer journey
  • Competitive battle cards and objection-handling messaging framework

Go-to-Market Strategy Template — B2B & B2C Launch Planning

🌍 Language / 语言: [中文](#中文版) | [English](references/en/README.md) | [日本語](references/ja/README.md) | [한국어](references/ko/README.md)

A structured GTM template you can fill in for any product launch — B2B or B2C.

  • Positioning canvas: Define your category, differentiator, and value prop
  • ICP worksheet: Identify and prioritize your ideal customer profiles
  • Messaging framework: Headlines, elevator pitches, and objection handling
  • Channel-market fit: Match distribution channels to your buyer journey
  • Competitive analysis: Battle cards and positioning against alternatives

Channel Sequencing by Revenue Stage (2026 consulting data)

Channels unlock in order — running a $5M-ARR playbook at seed stage burns cash:

ARR stage What unlocks Discipline
Pre-revenue Founder network, warm intros First 3 customers closed personally by founders
→ $500K PH, Reddit, Discord, founder brand, owned content matrix Total acquisition spend <$20K; no scaled paid ads pre-PMF
→ $1M Influencer partnerships + SEM + founder brand Hand-test 5–10 keywords to establish CPA before scaling
→ $5M SEO/SEM at matrix scale, multi-channel paid, referral loops Systematize organic content production
→ $20M PLG + SLG combined, host your own conference —

Team rule: below ~$2–3M revenue, don't open an overseas office — let affiliates, resellers, and service partners carry international distribution (top products share up to 50% of revenue with partners).

Guardrails before north stars

A north-star metric without guardrails misallocates resources. Pair it with floors — e.g. D1 activation ≥10%, a blended-CAC ceiling derived from price point, K-factor ≥0.4 — plus one hard rule: when activation drops below threshold, automatically throttle acquisition. Filling a leaking bucket is the most expensive way to grow. Weekly routine: cut channels above your CAC ceiling, reinvest in channels below it.

Paid acquisition red lines (field-tested)

  • Cost per signup: $5–8 acceptable. Cost per paying user: under $50, ideally under $30. At $100 per paying user something is structurally broken — stop and audit before scaling.
  • Watch for polluted-traffic signals: average session time collapsing (a real case went 189s → 8s after ads ramped) or thousands of paid-in users converting at zero.

B2B channel ranking, measured

Conversion order across client projects: LinkedIn > Reddit > Twitter. LinkedIn at $10/day produced paying users at ~$30 CPA in tests, with 3-day flight cycles working best. Twitter drives awareness, not conversion — one team cut Twitter spend 32% with flat conversions. Budget it for share-of-voice only.

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