gingiris-growth-finder

gingiris-growth-finder is a skill for Claude Code, Codex from Gingiris-1031/gingiris-skills. It costs 183 tokens per session (2,313 once invoked), scanned A, original, MIT.

A growth-diagnosis playbook that identifies a product’s business model, stage, and main constraint, then selects a narrower growth guide.

In plain words
What is it for?
Use it to route broad growth questions to plans for launches, open-source adoption, business software, mobile-app growth, search visibility, or similar areas.
Why use it?
It helps avoid applying the same advice to different products, such as business software, open-source tools, or mobile apps.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to route broad growth questions to plans for launches, open-source adoption, business software, mobile-app growth, search visibility, or similar areas.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gingiris-1031/gingiris-skills/gingiris-growth-finder
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Gingiris-1031/gingiris-skills --skill gingiris-growth-finder
Clone the repo
git clone --depth 1 https://github.com/Gingiris-1031/gingiris-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gingiris-growth-finder

README.md
[![agentmods](https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gingiris-growth-finder/github.svg)](https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gingiris-growth-finder)
Your own site
<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gingiris-growth-finder"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gingiris-growth-finder/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gingiris-growth-finder

Your own site · 80×15
<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/gingiris-growth-finder"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/gingiris-growth-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 183 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,313 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 159
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 165
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00183 $0.02313
Opus 5.5 $0.00073 $0.00925
Sonnet 5.5 $0.00037 $0.00463
Haiku 4.5 $0.00018 $0.00231

Measured 13d ago against content hash b69b207c189a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gingiris-growth-finder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/gingiris-growth-finder/SKILL.md · 224 lines

How it starts

The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gingiris Growth Finder

The meta-skill that picks the right Gingiris playbook for your growth problem.

Growth questions look similar but require wildly different playbooks. "How do I launch?" for a dev tool is nothing like "How do I launch?" for a mobile app. "How do I grow?" at $1M ARR is nothing like "How do I grow?" at 100 DAU. This skill diagnoses the situation and invokes the specialist.


Step 0:确认你的产品增长模型

在诊断增长卡点前,先选对框架:

B2B SaaS(默认):pipeline → MQL → SQL → 付费 → 扩展

B2C App / 消费品:

  • 漏斗:曝光 → 下载/注册 → 激活(完成核心行为)→ 留存 → 付费 → 推荐
  • 关键指标:D1/D7/D30 留存率、激活率(首次核心行为完成率)、病毒系数 K
  • 卡点优先级:激活率 < 留存率 < 获客渠道(激活最优先,留存没解决前别加流量)
  • App Store 特有指标:评分/评论数、关键词排名、转化率(展示→下载)

选你的诊断路径,然后继续往下读。


How to use

Just ask your growth question naturally. Example prompts:

  • "I'm launching my AI SaaS next week — what should I prioritize?"
  • "My open source project has 2k stars, how do I get to 10k?"
  • "I have a B2B SaaS at $300k ARR, should I hire SDRs?"
  • "My iOS app isn't ranking for its main keyword, what do I do?"

The skill will diagnose three dimensions, then invoke the matching playbook:

  1. Product type — SaaS / open source / mobile app / consumer web / marketplace / dev tool
  2. Growth stage — pre-launch / launch / post-launch cold start / growth / scale
  3. Primary channel gap — content / community / paid / partnerships / product-led

Diagnostic routing logic

If the user's question is about... Route to
Product Hunt launch, hunter outreach, launch-day tactics, viral moment engineering gingiris-launch
GitHub stars, Trending, repository conversion, or sustained star acquisition gingiris-github-star-growth
Hacker News, Reddit, OSS marketing, developer community, awesome-lists gingiris-opensource
B2B SaaS, PLG vs SLG, PMF validation, freemium, enterprise motion, affiliate, channel partnerships gingiris-b2b-growth
ASO, App Store / Google Play, mobile user acquisition, TikTok/Reels/Shorts UGC, creator matrix gingiris-aso-growth
SEO, GEO, rankings, indexing, content clusters, AI-search visibility gingiris-seo-geo
KOL discovery, outreach, pricing, negotiation, creator ROI gingiris-kol-outreach
UGC creator matrix, content testing, multi-account distribution gingiris-ugc-matrix
Country selection, localization, or international market entry gingiris-go-global
User recruitment, interview design, JTBD, or PMF evidence gingiris-user-interview
Competitor positioning, pricing, traffic, content, or strategic gaps competitor-research-playbook
Ambassador, champion, or community-led growth programs community-ambassador-playbook

Read the full file on GitHub · 224 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago Changed · +14 lines b69b207c189a
  2. 1mo ago First seen · 210 lines · 183 tokens per session scan A fb4ce61e4dc5

Subscribe to this mod's changes

gingiris-growth-finder is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (87 stars, last pushed 13d ago), licensed MIT. It adds 183 tokens to every session and 2,313 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

marketing-director

The Chief Marketing Officer (CMO) — manages ALL marketing activities across 1ai-social and 1ai-ads. Delegates to paid ads, content marketing, email marketing, social media, SEO, and analytics. Has memory via 1ai-hub brain, follows 1ai-rules, and coordinates with Content Director for content production and Sales…

oyi77/1ai-skills · 112 tokens

synthesis-explore

Synthesis EXPLORE stage for the Diffmode growth-tactics pipeline (fuses the blind-combination draw + emergent-mechanism derivation — formerly two separate synthesis steps — into ONE structural-check-only stage). Reads the per-run growth-factors.json (LIGHT vector DB) + synthesis-constraints.json + founder-input +…

acogood/diffmode_free · 178 tokens

growth-factors-mining

Builds a per-run LIGHT growth-vector database for the Diffmode growth-tactics pipeline by mining public growth case studies fresh, every run, and distilling each into atomic "growth factors" (transferable mechanisms). Clean-room — NEVER reads the proprietary tacticsDB. Outputs growth-factors.json (20-40 vectors spread…

acogood/diffmode_free · 129 tokens

diagnostics-intake

Fast founder-input capture for the Diffmode growth-tactics pipeline (the diagnostics stage). Produces WS/01-diagnostics/founder-input.md in the exact schema the enrichment + synthesis stages read. Two modes — (A) URL mode researches a product's website (homepage/pricing/about) plus a web-research pass to prefill the…

acogood/diffmode_free · 125 tokens

lite-constraints

Generates synthesis-constraints.json for the Diffmode growth-tactics pipeline by reasoning in-context over the per-run growth-factors.json (LIGHT vector DB) + founder context — the clean-room, no-Python replacement for the proprietary Python constraints generator. Emits the white-space pairs, mandatory…

acogood/diffmode_free · 100 tokens

channel-discovery

Use this skill to identify and score acquisition channels by audience fit, speed, cost, effort, and learning value, then recommend the top three. Trigger it when choosing where to reach a defined audience, planning go-to-market, or replacing an underperforming channel.

superamped/ai-marketing-skills · 57 tokens