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Linkedin Content Planner

作者 Sergey Bulaev · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install linkedin-content-planner
功能描述
Generate a tailored 7-day LinkedIn content plan with pillars, formats, hooks, CTAs, comment targets, and a weekly engagement checklist.
使用说明 (SKILL.md)

LinkedIn Content Planner

Produce a 7-day LinkedIn plan built around the 3-pillar discipline (Authority 40-50%, Personal Narrative 30-40%, Community 20-30%) used by Justin Welsh, Matt Gray, Jasmin Alic. Optionally adds a Product/Offer pillar at 10-15%.

When to use

  • User asks "plan my week" or "what should I post this week"
  • User wants to escape ad-hoc shipping and establish rhythm
  • Before a launch week (user needs product-pillar alignment)

Input

  • Theme (optional): e.g., "AI agents shipping in production", "first 6 months of Co.Actor"
  • Audience description: e.g., "B2B founders, AI ops leaders, marketing VPs"
  • Pillar mix (optional): defaults to 40% Authority / 30% Narrative / 20% Community / 10% Product
  • Posting days (optional): defaults to Tue/Wed/Thu/Fri (4 posts)
  • Voice samples (optional): paths to past posts for voice calibration

Output

A markdown plan with:

7-day calendar

Day Time Pillar Format Hook formula 1-line angle CTA type
Mon (commenting day)
Tue 8:00 AM local Authority Text F7 Odd-Precision Money "What 3 months of agent ops costs" Question close
Wed 9:30 AM local Narrative Text F4 Time-Anchor Confession "Why I stopped publishing for 4 weeks" Mirror question
Thu 8:00 AM local Community Poll "Which metric matters most" Poll
Fri 9:00 AM local Authority Carousel F10 Contrarian Historical "AI agencies have been dying since 2023" Soft offer
Sat/Sun (off)

Daily comment targets

For each posting day:

  • 3-5 creators to engage (names or archetypes: "peer founders at 5-20k", "VCs with AI thesis", "BigCo CTOs")
  • Comment pattern to apply (first-commenter, data-first, answer-their-question)
  • Target count: 10-20 substantive comments per day

Weekly inbound-readiness check

  • At least 1 vulnerability post (Narrative)
  • At least 1 receipt/data post (Authority)
  • At least 1 soft offer or CTA-driving post
  • Comment strategy includes 70% peers, 20% aspirational, 10% prospects
  • No pillar >60% of the week's posts
  • No duplicate formula used twice in the same week

Rules

  • 3 pillars minimum, 5 maximum. More than 5 dilutes signal.
  • 3-5 posts per week. 6+/week triggers cannibalization signal in 360Brew.
  • 10-20 comments/day on other creators. Comments drive more inbound than posts.
  • Tue/Wed/Thu top for B2B. Avoid Fri after 2 PM, Sat/Sun (B2B 30-50% reach cut).
  • One format per pillar per week. Don't stack 3 text posts for Authority — vary.
  • Product/Offer pillar max 1 post/week. Overuse kills trust.

Formula → pillar mapping

Pillar Preferred formulas
Authority F7 Odd-Precision Money, F10 Contrarian Historical, F8 Paid-vs-Free, F5 Self-Proving Meta
Narrative F4 Time-Anchor Confession, F3 Year-over-Year Pivot, F9 Curiosity-Gap
Community F6 Comment-Gate (use sparingly), poll posts, spotlight mentions
Product/Offer F2 R.I.P. Obituary (when pivoting category), F1 Anaphora (when framing product as fix)

Steps

  1. Gather inputs. Ask user for theme, audience, pillar preferences if not provided.
  2. Validate pillar mix sums to 100%; warn if any pillar >60%.
  3. For each posting day, pick:
    • Pillar (rotate to match mix)
    • Formula from that pillar's bank (don't repeat within 7 days)
    • Format (alternating text / carousel / poll per pillar rules)
    • Specific angle (user provides or skill generates)
    • Posting time (audience-timezone aware)
  4. For each posting day, add 3-5 comment targets with suggested pattern.
  5. Run inbound-readiness check; flag anything missing.
  6. Return as markdown + optional JSON for Notion/Airtable import.

Example

See references/example-plan-week.md for a filled-in 7-day plan.

Files

  • SKILL.md — this file
  • references/example-plan-week.md — worked example
  • references/pillars-framework.md — the 3-pillar discipline explained

Related skills

  • linkedin-post-writer — generate each day's draft from the plan
  • linkedin-comment-drafter — execute the daily comment targets
  • linkedin-thread-engagement — track inbound from the comment strategy
安全使用建议
This skill appears coherent and low-risk: it only contains human-readable instructions for planning LinkedIn content. Before using it, keep these practical precautions in mind: (1) Do not hand over LinkedIn account credentials, access tokens, or other secrets to this skill unless you trust the publisher — this skill does not request them, but related 'executor' skills (e.g., post-writer or comment-drafter) might. (2) If you provide 'voice sample' file paths or URLs, confirm they contain only content you intend to share; the skill may use them to mimic tone. (3) The planner advises operational tactics (timed comments, DMs, early commenting) that can have ethical or policy implications — apply your own judgment and LinkedIn's terms of service. (4) If you later install or invoke the related automation skills that post or message on your behalf, review their install specs and env requirements carefully for credential or network access.
功能分析
Type: OpenClaw Skill Name: linkedin-content-planner Version: 1.0.0 The linkedin-content-planner skill bundle consists entirely of markdown instructions and strategy documentation (SKILL.md and references/pillars-framework.md) designed to guide an AI agent in creating LinkedIn content schedules. It contains no executable code, network requests, or instructions to access sensitive system data, and its logic is strictly aligned with its stated purpose of social media planning.
能力评估
Purpose & Capability
Name/description match the SKILL.md: the files only contain guidance for producing a 7-day LinkedIn content plan and related checklists. There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
The instructions stay within content-planning scope (pillar mix, formats, hooks, comment targets, posting times). Two small notes: (1) 'Voice samples (optional): paths to past posts for voice calibration' implies the agent may be given or asked to read user-provided files/URLs — the skill does not itself declare or require file access, but an operator could supply paths; (2) the doc recommends active behaviors (commenting, DMs, timing strategies) which are operational/social tactics rather than system-level actions. The SKILL.md does not instruct reading system env vars, secrets, or contacting external endpoints directly.
Install Mechanism
No install spec and no code files present — instruction-only. This minimizes disk writes and code execution risk.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate for a planner that only generates content recommendations.
Persistence & Privilege
always is false and the skill does not request permanent presence or to modify other skills or system settings. Autonomous invocation is allowed by platform default but this skill itself has no elevated privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install linkedin-content-planner
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /linkedin-content-planner 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug linkedin-content-planner
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Linkedin Content Planner 是什么?

Generate a tailored 7-day LinkedIn content plan with pillars, formats, hooks, CTAs, comment targets, and a weekly engagement checklist. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 84 次。

如何安装 Linkedin Content Planner?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install linkedin-content-planner」即可一键安装,无需额外配置。

Linkedin Content Planner 是免费的吗?

是的,Linkedin Content Planner 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Linkedin Content Planner 支持哪些平台?

Linkedin Content Planner 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Linkedin Content Planner?

由 Sergey Bulaev(@sergebulaev)开发并维护,当前版本 v1.0.0。

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