content-planning

content-planning is a skill for Claude Code, Codex from code2rich/agentwaker-xiaohongshu-operator. It costs 55 tokens per session (380 once invoked), scanned A, original, MIT.

A planning tool for Xiaohongshu, a Chinese social-content platform. It creates publishing calendars, topic groups, audience segments and campaign ideas.

In plain words
What is it for?
Use it to plan an account's content schedule, map topics to audiences and calls to action, and prepare an editorial backlog.
Why use it?
It turns a broad content goal into an organised set of topics, formats, timing and required assets.

Skill for Claude CodeCodex

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

Good fit Use it to plan an account's content schedule, map topics to audiences and calls to action, and prepare an editorial backlog.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/code2rich/agentwaker-xiaohongshu-operator/content-planning
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 code2rich/agentwaker-xiaohongshu-operator --skill content-planning
Clone the repo
git clone --depth 1 https://github.com/code2rich/agentwaker-xiaohongshu-operator

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 content-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/content-planning/github.svg)](https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/content-planning)
Your own site
<a href="https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/content-planning"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/content-planning/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 content-planning

Your own site · 80×15
<a href="https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/content-planning"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/content-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 380 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.
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 $0.00055 $0.00380
Opus 5.5 $0.00022 $0.00152
Sonnet 5.5 $0.00011 $0.00076
Haiku 4.5 $0.00006 $0.00038

Measured 2mo ago against content hash 6d8e83f1c789, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

content-planning 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 2mo 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.

xiaohongshu-operator-skills/content-planning/SKILL.md · 53 lines

What it actually says

Content Planning

Purpose

Build Xiaohongshu content calendars, topic clusters, audience segments, cadence plans, and campaign angle maps.

Trigger Conditions

Use this skill when the user asks for a publishing plan, content calendar, account positioning plan, campaign plan, or topic system.

Required Inputs

  • Account or brand positioning.
  • Target audience.
  • Content goal.
  • Time range or cadence expectation.
  • Available assets, products, or service context.

Workflow

  1. Clarify goal, audience, content pillars, and constraints.
  2. Define topic clusters and note formats.
  3. Map each note idea to audience intent, hook, asset need, and CTA.
  4. Set cadence and sequencing.
  5. Mark assumptions and required assets.

Outputs

  • Content calendar.
  • Topic cluster map.
  • Note idea backlog.
  • Asset and image brief list.
  • Risks and next actions.

Approval Gates

No approval is needed for planning. Approval is required before scheduling, publishing, or interacting from the account.

Failure Handling

If context is missing, produce a provisional plan and mark assumptions.

Handoff Rules

  • Hand planned covers, first images, carousel cards, explanatory diagrams, evidence visuals, and routine flat visual templates to xiaohongshu-visuals.
  • Hand Xiaohongshu-supporting static JPage artifacts to jpage-publishing.
  • Hand only custom-coded interactive demos, pages, components, or reusable visual tools to FrontDeveloper with the audience intent, approved copy, current target constraints, evidence needs, and acceptance checks.
Files

What ships with it

1 file 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. 2mo ago First seen · 53 lines · 55 tokens per session scan A 6d8e83f1c789

Subscribe to this mod's changes

content-planning is a skill published in the GitHub repository code2rich/agentwaker-xiaohongshu-operator (5 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 380 once invoked, about $0.0002 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 2026-08-31.

Related

content-planning compared with skills from other repositories

content-planning next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
content-planningcode2rich/agentwaker-xiaohongshu-operatorSkill53mo agoMITA55Claude Code, Codex
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill314k4d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code