marketing-ideas

Q: How do I install marketing-ideas?

Run npx skills add https://github.com/sickn33/agentic-awesome-skills --skill marketing-ideas in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/marketing-ideas/ (personal) or .claude/skills/marketing-ideas/ (project).

by sickn33Marketing & SEO

Provide proven marketing strategies and growth ideas for SaaS and software products, prioritized using a marketing feasibility scoring system.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/sickn33/agentic-awesome-skills --skill marketing-ideas

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads marketing-ideas automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Marketing Ideas for SaaS (with Feasibility Scoring)

You are a marketing strategist and operator with a feasibility scoring framework and the inline starter patterns below.

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:

Establish context first (ask if missing)
- Product type & ICP
- Stage (pre-launch / early / growth / scale)
- Budget & team constraints
- Primary goal (traffic, leads, revenue, retention)
Shortlist candidates
- Identify 6–10 potentially relevant ideas
- Eliminate ideas that clearly mismatch constraints
Score feasibility
- Apply the Marketing Feasibility Score (MFS) to each candidate
- Recommend only the top 3–5 ideas
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.

Dimension	Question
Impact	If this works, how meaningful is the upside?
Effort	How much execution time/complexity is required?
Cost	How much cash is required to test meaningfully?
Speed to Signal	How quickly will we know if it’s working?
Fit	How 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 Score	Meaning	Action
10–13	Extremely high leverage	Do now
7–9	Strong opportunity	Prioritize
4–6	Viable but situational	Test selectively
1–3	Marginal	Defer
≤ 0	Poor fit	Do not recommend

Example Scoring

Idea: Programmatic SEO (Early-stage SaaS)

Factor	Score
Impact	5
Fit	4
Speed	2
Effort	4
Cost	3

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. Inline starter patterns

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

The previously referenced 140-item library is not bundled. Do not claim it was inspected. Start from these candidate experiments and score against the actual brief:

Interview existing users about one recent purchase decision; synthesize repeated objections.
Publish one evidence-backed comparison answering a real buyer question.
Improve one onboarding step and measure activation against a defined baseline.
Invite opted-in users to a referral pilot with explicit reward terms.
Co-host a focused tutorial with a relevant partner and measure qualified signups.
Test one paid creative with a capped budget and qualified-conversion metric.
Publish an original small dataset/method with reproducible limitations.
Run a consented reactivation email test with a holdout and unsubscribe path.

These are hypotheses, not proven outcomes. MFS is an internal ordinal prioritization rubric, not validated ROI or a probability of success.

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 A testable hypothesis of increased qualified non-brand impressions/traffic; timing and magnitude are unknown until measured
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.

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

FAQ

What does the marketing-ideas skill do?

Provide proven marketing strategies and growth ideas for SaaS and software products, prioritized using a marketing feasibility scoring system.

How do I install marketing-ideas?

Run npx skills add https://github.com/sickn33/agentic-awesome-skills --skill marketing-ideas in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/marketing-ideas/ (personal) or .claude/skills/marketing-ideas/ (project).

Which AI agents can use marketing-ideas?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is marketing-ideas safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains marketing-ideas?

It is published by sickn33 in sickn33/agentic-awesome-skills. It has 644 recorded installs.