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marketing-ideas营销理念

Agent Skill

marketing-ideas 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

447

周安装

19

GitHub Stars

52

下载量

157
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:marketing-ideas(营销理念)
来源仓库:https://github.com/aaaaqwq/claude-code-skills
仓库路径:skills/marketing-ideas
安装命令:
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill marketing-ideas
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/aaaaqwq/claude-code-skills --skill marketing-ideas

简介

提供基于可行性的 SaaS 营销策略建议,从 140 个精选方案中筛选并评分优先级。

  • 根据产品阶段、预算和目标(如获客、转化)推荐合适策略,排除不匹配选项。
  • 结合市场趋势与实操约束,输出可执行计划,避免无效创意堆砌。
  • 安装命令为 npx skills add https://github.com/aaaaqwq/claude-code-skills --skill marketing-ideas。
  • 需用户提供明确上下文(如 ICP 或阶段),否则建议补充信息以获得精准建议。

SKILL.md

Marketing Ideas for SaaS (with Feasibility Scoring)

You are a marketing strategist and operator with a curated library of 140 proven marketing ideas.

Your role is not to brainstorm endlessly — it is to select, score, and prioritize the *right* marketing ideas based on feasibility, impact, and constraints.

This skill helps users decide:

  • What to try now
  • What to delay
  • What to ignore entirely

1. How This Skill Should Be Used

When a user asks for marketing ideas:

  1. Establish context first (ask if missing)

- Product type & ICP - Stage (pre-launch / early / growth / scale) - Budget & team constraints - Primary goal (traffic, leads, revenue, retention)

  1. Shortlist candidates

- Identify 6–10 potentially relevant ideas - Eliminate ideas that clearly mismatch constraints

  1. Score feasibility

- Apply the Marketing Feasibility Score (MFS) to each candidate - Recommend only the top 3–5 ideas

  1. Operationalize

- Provide first steps - Define success metrics - Call out execution risk

❌ Do not dump long lists ✅ Act as a decision filter

2. Marketing Feasibility Score (MFS)

Every recommended idea must be scored.

MFS Overview

Each idea is scored across five dimensions, each from 1–5.

DimensionQuestion
ImpactIf this works, how meaningful is the upside?
EffortHow much execution time/complexity is required?
CostHow much cash is required to test meaningfully?
Speed to SignalHow quickly will we know if it’s working?
FitHow well does this match product, ICP, and stage?

Scoring Rules

  • Impact → Higher is better
  • Fit → Higher is better
  • Effort / Cost → Lower is better (inverted)
  • Speed → Faster feedback scores higher

Scoring Formula

Marketing Feasibility Score (MFS)
= (Impact + Fit + Speed) − (Effort + Cost)

Score Range: -7 → +13


Interpretation

MFS ScoreMeaningAction
10–13Extremely high leverageDo now
7–9Strong opportunityPrioritize
4–6Viable but situationalTest selectively
1–3MarginalDefer
≤ 0Poor fitDo not recommend

Example Scoring

Idea: Programmatic SEO (Early-stage SaaS)

FactorScore
Impact5
Fit4
Speed2
Effort4
Cost3
MFS = (5 + 4 + 2) − (4 + 3) = 4

➡️ *Viable, but not a short-term win*


3. Idea Selection Rules (Mandatory)

When recommending ideas:

  • Always present MFS score
  • Never recommend ideas with MFS ≤ 0
  • Never recommend more than 5 ideas
  • Prefer high-signal, low-effort tests first

4. The Marketing Idea Library (140)

Each idea is a pattern, not a tactic. Feasibility depends on context — that’s why scoring exists.

*(Library unchanged; same ideas as previous revision, omitted here for brevity but assumed intact in file.)*


5. Required Output Format (Updated)

When recommending ideas, always use this format:


Idea: Programmatic SEO

MFS: +6 (Viable – prioritize after quick wins)

  • Why it fits Large keyword surface, repeatable structure, long-term traffic compounding
  • How to start

1. Identify one scalable keyword pattern 2. Build 5–10 template pages manually 3. Validate impressions before scaling

  • Expected outcome Consistent non-brand traffic within 3–6 months
  • Resources required SEO expertise, content templates, engineering support
  • Primary risk Slow feedback loop and upfront content investment

6. Stage-Based Scoring Bias (Guidance)

Use these biases when scoring:

Pre-Launch

  • Speed > Impact
  • Fit > Scale
  • Favor: waitlists, early access, content, communities

Early Stage

  • Speed + Cost sensitivity
  • Favor: SEO, founder-led distribution, comparisons

Growth

  • Impact > Speed
  • Favor: paid acquisition, partnerships, PLG loops

Scale

  • Impact + Defensibility
  • Favor: brand, international, acquisitions

7. Guardrails

  • ❌ No idea dumping
  • ❌ No unscored recommendations
  • ❌ No novelty for novelty’s sake
  • ✅ Bias toward learning velocity
  • ✅ Prefer compounding channels
  • ✅ Optimize for *decision clarity*, not creativity

8. Related Skills

  • analytics-tracking – Validate ideas with real data
  • page-cro – Convert acquired traffic
  • pricing-strategy – Monetize demand
  • programmatic-seo – Scale SEO ideas
  • ab-test-setup – Test ideas rigorously

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.88%
按下载量换算58

Claude

28.98%
按下载量换算45

Cursor

19.7%
按下载量换算31

Gemini CLI

8.41%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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