# 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.

- Skill: `nickgallick/content-calendar-autonomous` (Agent Skill)
- Install (CLI): `npx skillmds add nickgallick/content-calendar-autonomous`
- Raw SKILL.md: https://api.skillmd.com/api/skills/nickgallick/content-calendar-autonomous/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: nickgallick (https://skillmd.com/u/nickgallick)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/nickgallick/content-calendar-autonomous

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# 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