40-next-content-plan-global

Builds a data-driven next-period content plan with a 70/20/10 mix and four-week overview.

569|224|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/minhnv0807/ai-business-skills --skill 40-next-content-plan-global
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: 40-next-content-plan-global
Source: https://github.com/minhnv0807/ai-business-skills/tree/main/skills/en/40-next-content-plan-global
Command: npx skills add https://github.com/minhnv0807/ai-business-skills --skill 40-next-content-plan-global

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Planning next month's content without grounding it in last period's performance data leads to guesswork, repeated mistakes, and abandoned winners. This Skill turns a completed content audit and marketing report into a structured, evidence-based content plan.

Core Features & Use Cases

  • Data-first planning: Requires the prior period's content audit and report as inputs, and traces every plan change back to a specific data point.
  • 70/20/10 content mix: Allocates 70% proven formats, 20% winner optimizations, and 10% new hypotheses, with a hard cap of two falsifiable test hypotheses per period.
  • Winner replication and loser triage: Converts each winning post into 2-3 concrete variations and separates losers caused by wrong angle (retire) from weak execution (fix and retry).
  • Use Case: After finishing a quarterly content audit, ask for next quarter's plan and receive a Markdown file with the review table, direction, content mix, replication plan, hypotheses, four-week overview calendar, and owner assignments.

Quick Start

Use the next content plan skill to build next month's content plan from my completed content audit and marketing report.

Frequently Asked Questions about 40-next-content-plan-global

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a content plan from last month's performance data?

Start with a completed content audit and marketing report, then classify each item as keep, stop, or test. Allocate output using a 70/20/10 split of proven, optimized, and experimental content, replicate each winner into 2-3 variations, and cap new hypotheses at two with falsifiable decision rules.

What is the 70/20/10 content mix in content planning?

The 70/20/10 mix assigns roughly 70% of posts to proven formats held constant, 20% to optimizations of winners such as new hooks or channels, and 10% to genuinely new test hypotheses. It balances stable output with controlled experimentation.

Do I need a content audit before making a next-period plan?

Yes. This workflow requires the prior period's content audit or at minimum a post list with metrics before planning begins. Without that data, the recommendation is to run the content audit step first rather than plan on instinct.

How many new content hypotheses should I test per period?

Test a maximum of two new hypotheses per period. More than that prevents any single test from accumulating enough data to reach a conclusion. Each hypothesis must be falsifiable with a defined metric, duration, and decision rule.

When should I retire an underperforming content format?

Separate losers by cause before deciding. Retire a format when the angle itself was wrong, but fix the execution and retry once when the idea was sound and only the production quality failed. Do not delete losers automatically.