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Agent skill

40 Next Content Plan Global

by minhnv0807 in minhnv0807/ai-business-skills

A skill your agent uses when the next period content plan must be built from last period DATA — keep and replicate winners, cut losers, at most two new hypotheses, a 70/20/10 mix, a four-week…

MITAuto-check passedWriting & Content

Install 40 Next Content Plan Global

skills CLI
$ npx skills add minhnv0807/ai-business-skills --skill 40-next-content-plan-global -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install minhnv0807/ai-business-skills 40-next-content-plan-global --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/en/40-next-content-plan-global .claude/skills/40-next-content-plan-global && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
40-next-content-plan-global
GitHub stars
609
Token cost
~2.3k tokens
SKILL.md length
820 words
Files
1
Skills in repo
142
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the next period content plan must be built from last period DATA — keep and replicate winners, cut losers, at most two new hypotheses, a 70/20/10 mix, a four-week…

  • Works in 6 steps: Review the prior period → Set the direction for the new period → Build the content mix at 70/20/10 → …
  • The next period content plan must be built from last period DATA — keep and replicate winners
  • SKILL.md covers Information gathering — always…, Principles, Workflow and Output structure, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

40 Next Content Plan Global is an agent skill from minhnv0807/ai-business-skills. Use when the next period content plan must be built from last period DATA — keep and replicate winners, cut losers, at most two new hypotheses, a 70/20/10 mix, a four-week overview, and an owner per slot. Trigger on 'next content plan', 'content plan for next month', 'plan from the audit', 'what should we post next quarter', 'scale what worked', 'plan content using the numbers'. Also use when a report just landed and the user asks what to do with it. Not for — auditing the past period first, see…

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Content strategy and Content marketing. The repository describes itself as: 138 bilingual AI marketing skills (69 VN + 69 Global) for Claude Code, OpenCode, Codex, VS Code. Four role SOP packs — content, design, performance, leader ops — plus strategy… The licence is MIT.

When your agent uses it

  • The next period content plan must be built from last period DATA — keep and replicate winners
  • At most two new hypotheses
  • A four-week overview
  • An owner per slot

Example prompts

  • “next content plan”
  • “content plan for next month”
  • “plan from the audit”
  • “/40-next-content-plan-global”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Review the prior period
  2. Set the direction for the new period
  3. Build the content mix at 70/20/10
  4. Plan the winner replication
  5. Define the new hypotheses (maximum 2)
  6. Build the overview calendar and assign ownership

What it can do on your machine

Read from SKILL.md and the folder at commit 0360adc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

40 Next Content Plan Global loads about 2.3k tokens when it runs. Until then it costs about 172 tokens; SKILL.md has 820 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~172
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from minhnv0807/ai-business-skills at commit 0360adc, republished under its MIT licence (© minhnv0807). 820 words, ~2,342 tokens.

Download SKILL.mdSave it as .claude/skills/40-next-content-plan-global/SKILL.md (or your agent's skills folder).
name
40-next-content-plan-global
description
Use when the next period content plan must be built from last period DATA — keep and replicate winners, cut losers, at most two new hypotheses, a 70/20/10 mix, a four-week overview, and an owner per slot. Trigger on 'next content plan', 'content plan for next month', 'plan from the audit', 'what should we post next quarter', 'scale what worked', 'plan content using the numbers'. Also use when a report just landed and the user asks what to do with it. Not for — auditing the past period first, see `39-content-audit-global`; turning the plan into a dated calendar, see `01-content-calendar-global`; the next period ADS plan, see `57-next-ads-plan-global`.
metadata.version
1.0.1
metadata.category
content
license
MIT
triggers
next content plan, content plan for next month, data-driven content plan, plan from the audit, next quarter content, what should we post next month, scale the…
output
File .md — prior period review, direction for the new period, 70/20/10 content mix, winner replication table, max 2 test hypotheses, 4-week overview calendar…
related
product-marketing-context-global, 39-content-audit-global, 07-marketing-report-global, 01-content-calendar-global, 36-content-brief-global…

Next Content Plan (Global)

A plan without last period's data is a guess. The order is fixed: read the data, replicate the winners, test a small number of new hypotheses, then schedule. Do not change everything at once — a team that rebuilds from scratch every period never learns what works.

Information gathering — always read the old data first

Before writing a single line of plan, you need:

  1. The prior period's content audit (from 39-content-audit-global). If it does not exist, run that skill first. Do not plan around it.
  2. The prior period's report (from 07-marketing-report-global) if available.
  3. KPI targets for the new period — what changes versus last period.
  4. Known variables in the new period: upcoming campaign, launch, event, seasonality; changes in budget, headcount, or capacity.

If the user cannot supply at least an audit or a post list with metrics, stop and recommend running 39-content-audit-global first.

Principles

  1. Data first, plan second. Every change in the plan must trace back to a specific line of prior-period data.
  2. Replicate winners before chasing new ideas. A winner has already proved itself. Reproduce it with small variations before betting on an untested concept.
  3. The 70/20/10 split:
    • 70 percent of output is proven format plus proven angle — the winner's formula, held constant.
    • 20 percent is optimization of a winner — change the hook, the channel, or the length while keeping what worked.
    • 10 percent is genuinely new — the test hypotheses.
  4. Maximum 2 new hypotheses per period. More than that and no single test accumulates enough data to conclude anything.
  5. Losers are not automatically deleted. Separate a loser caused by a wrong angle (retire it) from a loser caused by weak execution (fix the execution, try once more).
  6. Plan at the week level here. Day-level detail belongs to 01-content-calendar-global.
  7. Account for seasonality in paid amplification. Q4 media costs run well above Q1 globally; if a proven post type is normally boosted, the same plan costs more in November than in January (see references/benchmarks-global.md).

Workflow

1. Review the prior period

From the audit (39-content-audit-global) and report (07-marketing-report-global), fill three columns:

Worked (KEEP)Did not work (STOP)Not yet tried (TEST)
[format / angle / channel + the numbers that prove it][+ the data reason][idea from a pattern or a new insight]
2. Set the direction for the new period
PeriodPrimary objectivePriority KPIAttached campaignMajor change

Exactly one primary objective — reach, lead generation, conversion, or retention. The priority KPI is the metric this period will actually be judged on.

3. Build the content mix at 70/20/10
GroupShareContent
Proven (70%)~70% of postsWinner formula held constant — only the subject changes
Optimized (20%)~20% of postsVariations on winners: different hook, channel, or length
Experimental (10%)~10% of postsNew hypotheses (maximum 2)

Then adjust the funnel and format ratios, with a data reason for each change:

DimensionPrior period ratioNew period ratioReason (from data)
TOFU / MOFU / BOFU
Video vs static vs text
Channel split
Show full SKILL.md (320 more words)Show less
4. Plan the winner replication
Original winnerResult (metric)Replicate intoWhat changesChannel / timing

Each winner becomes 2-3 variations. Hold the hook structure and format constant; change the subject, the angle of the shot, or the person on camera.

5. Define the new hypotheses (maximum 2)
HypothesisFormatChannelMetricTest durationDecision rule

Write each one so it can be falsified: "If we [change X], then [metric Y] will [rise or fall by Z percent]." For test design and sample sizing, hand off to 19-ab-test-setup-global.

6. Build the overview calendar and assign ownership
WeekThemePriority channelPostsHighlights (replicated winner / hypothesis)
Week 1
Week 2
Week 3
Week 4
OwnerResponsibilityPosts per weekPrimary channel

Day-level detail (publish time, hook, CTA, status) goes to 01-content-calendar-global. Per-piece briefs go to 36-content-brief-global.

Output structure

File name: next-content-plan-[brand]-[YYYYMMDD].md

markdown
# Next Content Plan — [Period] — [Brand]

## I. Prior period review
| Worked (keep) | Did not work (stop) | Not yet tried (test) |
|---------------|---------------------|----------------------|
| | | |

## II. Direction for the new period
| Period | Primary objective | Priority KPI | Attached campaign | Major change |
|--------|-------------------|--------------|-------------------|--------------|
| | | | | |

## III. Content mix — 70/20/10
| Group | Share | Posts | Content |
|-------|-------|-------|---------|
| Proven (70%) | | | |
| Optimized (20%) | | | |
| Experimental (10%) | | | |

| Dimension | Prior ratio | New ratio | Reason (from data) |
|-----------|-------------|-----------|--------------------|
| TOFU / MOFU / BOFU | | | |
| Video vs static vs text | | | |
| Channel split | | | |

## IV. Winner replication
| Original winner | Result | Replicate into | What changes | Channel / timing |
|-----------------|--------|----------------|--------------|------------------|
| | | | | |

## V. New hypotheses (max 2)
| Hypothesis | Format | Channel | Metric | Test duration | Decision rule |
|------------|--------|---------|--------|---------------|---------------|
| | | | | | |

## VI. Overview calendar
| Week | Theme | Priority channel | Posts | Highlights |
|------|-------|------------------|-------|------------|
| | | | | |

## VII. Ownership
| Owner | Responsibility | Posts per week | Primary channel |
|-------|----------------|----------------|-----------------|
| | | | |
  • 39-content-audit-global: required input — run it first. No audit means no plan.
  • 07-marketing-report-global: the prior period's report adds the full-funnel KPI view.
  • 01-content-calendar-global: takes this plan and produces the day-by-day schedule.
  • 36-content-brief-global: briefs each individual piece inside the plan.
  • 19-ab-test-setup-global: designs the tests for the 2 hypotheses.
  • 13-data-analysis-global: supporting analysis when the data needs a deeper look.

Quality checklist

  • Prior period data present as the basis (audit from 39 or report from 07) — nothing planned on instinct.
  • Every change in the plan traces back to a specific line of data.
  • Content mix follows 70/20/10 and the shares total 100 percent.
  • Each winner has a concrete replication plan (2-3 variations each).
  • No more than 2 new hypotheses, each falsifiable and each with a decision rule.
  • Losers separated into wrong angle (retire) versus weak execution (fix and retry once).
  • Funnel and format ratio changes each carry a data reason — nothing changed arbitrarily.
  • Overview calendar covers all 4 weeks with named owners.
  • Seasonality accounted for where the plan depends on paid amplification.
  • Handoffs stated: 01-content-calendar-global for the detailed schedule, 19-ab-test-setup-global for the hypotheses.

© minhnv0807, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/en/40-next-content-plan-global of minhnv0807/ai-business-skills.

Open the folder on GitHubat commit 0360adc

Compare with similar skills

40 Next Content Plan Global next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

40 Next Content Plan Global compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
40 Next Content Plan Global this skillminhnv0807/ai-business-skills609—~2.3kAutomated safety check: PassMIT
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Content Calendar Plannerholaboss-ai/holaOS11k—~568Automated safety check: PassCustom licence
Content Enginec0x12c/ai-toolkit106—~986Automated safety check: PassNone
Content Enginecohen-liel/hivemind1106 repos~643Automated safety check: PassApache-2.0
Article Writingericrisco/rsc-harness180—~2.9kAutomated safety check: PassMIT

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Categories

Questions about 40 Next Content Plan Global

What does 40 Next Content Plan Global do?

A skill your agent uses when the next period content plan must be built from last period DATA — keep and replicate winners, cut losers, at most two new hypotheses, a 70/20/10 mix, a four-week…. 40 Next Content Plan Global is an agent skill from minhnv0807/ai-business-skills. Use when the next period content plan must be built from last period DATA — keep and replicate winners, cut losers, at most two new hypotheses, a 70/20/10 mix, a four-week overview, and an owner per slot.

When should I use 40 Next Content Plan Global?

40 Next Content Plan Global fits situations like: the next period content plan must be built from last period DATA — keep and replicate winners; at most two new hypotheses; A four-week overview; an owner per slot.

How do I install 40 Next Content Plan Global in Claude Code?

Run `npx skills add minhnv0807/ai-business-skills --skill 40-next-content-plan-global -a claude-code`. Or copy the skill folder (skills/en/40-next-content-plan-global in minhnv0807/ai-business-skills) into .claude/skills/40-next-content-plan-global in your project. Claude Code loads it when a task matches its description.

How do I install 40 Next Content Plan Global in Codex?

Run `npx skills add minhnv0807/ai-business-skills --skill 40-next-content-plan-global -a codex`. Or copy the skill folder (skills/en/40-next-content-plan-global in minhnv0807/ai-business-skills) into .agents/skills/40-next-content-plan-global in your project. Codex loads it when a task matches its description.

Can I use 40 Next Content Plan Global in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add minhnv0807/ai-business-skills --skill 40-next-content-plan-global -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/40-next-content-plan-global, .gemini/skills/40-next-content-plan-global, .github/skills/40-next-content-plan-global and .opencode/skills/40-next-content-plan-global in your project.

What does 40 Next Content Plan Global need to run?

SKILL.md names no scripts, command-line tools or credentials: 40 Next Content Plan Global is instructions for the agent only.

Does 40 Next Content Plan Global access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is 40 Next Content Plan Global safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does 40 Next Content Plan Global use?

40 Next Content Plan Global is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does 40 Next Content Plan Global use?

About 2.3k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to 40 Next Content Plan Global?

Skills that share tags, products or a category with 40 Next Content Plan Global: Content Creator (thatrebeccarae/claude-marketing, 161 stars), Content Calendar Planner (holaboss-ai/holaOS, 11k stars), Content Engine (c0x12c/ai-toolkit, 106 stars) and Content Engine (cohen-liel/hivemind, 110 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains 40 Next Content Plan Global?

minhnv0807 (a GitHub user) maintains it in minhnv0807/ai-business-skills, which has 609 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on September 12, 2026.

Source: minhnv0807/ai-business-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.