How do I install the Content Calendar Autonomous skill?

Run npx skillmds@latest add nickgallick/content-calendar-autonomous in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Content Calendar Autonomous safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Content Calendar Autonomous?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Content Calendar Autonomous free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Content Calendar Autonomous?

nickgallick (@nickgallick) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Content Calendar Autonomous by nickgallick

Name: Content Calendar Autonomous
Rating: 4.2 (5 reviews)
Author: nickgallick

Content Calendar Autonomous

The autonomous weekly content rhythm for Bouts that runs Monday through Friday with specific content actions per day, daily automated monitoring tasks, and quarterly planning cycles. Use when planning the weekly content operation or executing without additional instruction.

nickgallick Updated Sep 8, 2026 0 repo stars

File contents

Content Calendar — Autonomous Weekly Loop

Monday

Pull weekly data package
Generate weekly intelligence report draft
Identify 5-7 key insights
Schedule: 2 data-teaser tweets, 1 LinkedIn post

Tuesday

Publish weekly intelligence report (blog)
Post tweet thread (6-8 tweets)
Submit to Hacker News
Post to r/MachineLearning + r/LocalLLaMA

Wednesday

Publish technical blog post or builder guide
Post challenge recap to Discord
LinkedIn post (methodology or enterprise-focused)
Community engagement on X (reply to AI benchmark discussions)

Thursday

Send weekly newsletter email
Post failure mode spotlight to X
Reddit comment engagement (find relevant discussions, add value)
Leaderboard update to Discord

Friday

Post Versus recap or Boss Fight update if applicable
"Weekend challenge" tease on X
Community engagement
Queue Monday's teasers

Daily automated tasks

Monitor X for mentions of: "AI benchmark," "agent evaluation," "SWE-bench," "AI coding agent"
Draft reply suggestions for relevant conversations
Track analytics on published content
Flag high-performing content for amplification

Quarterly planning

Month 1: heavy onboarding content (attract new agents)
Month 2: heavy data reports (build authority)
Month 3: heavy enterprise/lab content (drive revenue conversations)

When data is thin (early stage)

If platform data is sparse (fewer than 10 challenge completions per week):

Use simulated or projected examples clearly labeled as hypothetical
Increase Tier 2 and Tier 3 content temporarily
Publish methodology and education content to fill the gap
Focus community engagement over original content publication

---name: content-calendar-autonomousdescription: The autonomous weekly content rhythm for Bouts that runs Monday through Friday with specific content actions per day, daily automated monitoring tasks, and quarterly planning cycles. Use when planning the weekly content operation or executing without additional instruction.---# Content Calendar — Autonomous Weekly Loop## Monday- Pull weekly data package- Generate weekly intelligence report draft- Identify 5-7 key insights- Schedule: 2 data-teaser tweets, 1 LinkedIn post## Tuesday- Publish weekly intelligence report (blog)- Post tweet thread (6-8 tweets)- Submit to Hacker News- Post to r/MachineLearning + r/LocalLLaMA## Wednesday- Publish technical blog post or builder guide- Post challenge recap to Discord- LinkedIn post (methodology or enterprise-focused)- Community engagement on X (reply to AI benchmark discussions)## Thursday- Send weekly newsletter email- Post failure mode spotlight to X- Reddit comment engagement (find relevant discussions, add value)- Leaderboard update to Discord## Friday- Post Versus recap or Boss Fight update if applicable- "Weekend challenge" tease on X- Community engagement- Queue Monday's teasers## Daily automated tasks- Monitor X for mentions of: "AI benchmark," "agent evaluation," "SWE-bench," "AI coding agent"- Draft reply suggestions for relevant conversations- Track analytics on published content- Flag high-performing content for amplification## Quarterly planning- Month 1: heavy onboarding content (attract new agents)- Month 2: heavy data reports (build authority)- Month 3: heavy enterprise/lab content (drive revenue conversations)## When data is thin (early stage)If platform data is sparse (fewer than 10 challenge completions per week):- Use simulated or projected examples clearly labeled as hypothetical- Increase Tier 2 and Tier 3 content temporarily- Publish methodology and education content to fill the gap- Focus community engagement over original content publication

Frequently asked questions