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Blog Calendar

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AgriciDaniel
blog-calendar

Generate editorial calendars for blogs with topic clusters, publishing schedules, material-change reviews, update plans, seasonal opportunities, content mix formula, template integration, and distribution scheduling. Plans monthly or quarterly calendars around reader needs, evidence changes, and sustainable publishing capacity. Use when user says "editorial calendar", "content calendar", "blog calendar", "publishing schedule", "blog plan", "content plan", "what should I write".

Overview

PublisherAgriciDaniel
Repositoryclaude-blog
Skill nameblog-calendar
Stars
2.2K
Forks
362
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

Install the Blog Calendar AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgriciDaniel/claude-blog.git /tmp/claude-blog
mkdir -p .claude/skills
cp -r /tmp/claude-blog/skills/blog-calendar .claude/skills/blog-calendar
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Blog Calendar in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Blog Calendar on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Blog Calendar is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Blog Calendar: Editorial Planning

Generates editorial calendars with topic clusters, publishing cadence, material-change reviews, content-decay investigation, template recommendations, distribution planning, and seasonal hooks. It does not treat publication or update frequency as a ranking or citation signal.

Cross-reference

This skill operates at the FLOW Find stage. Before selecting topics, run /blog flow find for keyword discovery, content prioritization, and audience avatar prompts that should inform cluster selection and topic sequencing.

Workflow

Step 1: Understand the Blog

Gather context:

  1. Niche/industry: What is the blog about?
  2. Existing content: Scan for existing blog posts (Glob for *.md, *.mdx, *.html)
  3. Publishing cadence: How often can they publish? (default: 2x/week)
  4. Timeframe: Monthly or quarterly calendar?
  5. Business goals: What should the blog drive? (traffic, leads, authority)

Step 2: Topic Cluster Design

Design 3-5 topic clusters (pillar + supporting content):

Cluster: [Pillar Topic]
├── Pillar Page: [Comprehensive guide - 3,000+ words]
├── Supporting: [Subtopic 1 - 2,000 words]
├── Supporting: [Subtopic 2 - 2,000 words]
├── Supporting: [Subtopic 3 - 1,500 words]
├── Comparison: [X vs Y - 1,500 words]
└── FAQ: [Common questions - 1,500 words]

Each cluster should:

  • Target a primary keyword theme
  • Cover the topic comprehensively for topical authority
  • Include varied content types (guides, comparisons, how-tos, listicles)
  • Support internal linking between cluster pages

Step 2.5: Content Decay Detection

Scan existing posts for material change signals. Dates are inventory metadata, not proof that content is stale or fresh.

SignalReview QuestionPriority Effect
Query or fact volatilityHave prices, laws, products, events, or guidance changed?Raise when the changed fact is material
Performance trendIs there a sustained decline after controlling for seasonality and Search surface?Investigate before rewriting
Source availabilityAre important sources outdated, contradicted, or unavailable?Raise when claims lose support
Reader intentDoes the page still solve the current task?Raise when intent materially shifted

Do not prioritize an update solely because a frontmatter date is old or a vendor sample observed recently updated citations.

Output a decay report:

## Content Decay Report
| Post | Material Change Evidence | Performance Context | Priority | Action |
|------|--------------------------|---------------------|----------|--------|
| [slug] | [changed fact/source/intent] | [surface and comparison] | Critical | Correct material error |
| [slug] | [documented change] | [sustained trend] | High | Schedule substantive review |
| [slug] | [no confirmed change] | [stable/unclear] | Low | Monitor |

Priority levels:

  • Critical: Materially wrong or harmful information needs correction
  • High: Confirmed fact, source, product, or intent change affects usefulness
  • Medium: Sustained performance change warrants investigation
  • Low: No material change; monitor without editing the date

Step 3: Freshness Update Schedule

Plan review triggers around the topic:

  • Fast-changing topics: Review when the governing facts or official sources change
  • Seasonal topics: Review before the relevant season using current evidence
  • Product or pricing content: Review after documented product changes
  • Evergreen topics: Review when evidence, intent, or performance indicates a need

Change lastUpdated only after substantive content changes.

Step 4: Seasonal & Trending Hooks

Research seasonal opportunities:

  1. Industry events: Conferences, product launches, algorithm updates
  2. Seasonal trends: Use Google Trends UI, API, or exported data when available; if relying on WebSearch only, mark trend timing as unverified
  3. Annual reports: When do major studies release new data?
  4. Algorithm updates: Validate the current Google update timeline against the Google Search Status Dashboard before scheduling update content. Do not rely on a static list.
Seasonal Trends Integration
  • Map seasonal peaks to content production schedule
  • Plan content 4-6 weeks before seasonal peaks for indexing lead time
  • Create "evergreen with seasonal hook" content (e.g., "X Guide [Year]" updated annually)
  • Track industry report release cycles:
    • Ahrefs Annual State of SEO (typically Q1)
    • Google Year in Search (December)
    • HubSpot State of Marketing (Q1)
    • Gartner Hype Cycle (August)
    • Major conference dates in the niche
  • Use WebSearch to validate timing of trends before scheduling

Step 5: Generate the Calendar

Content Mix Formula

Start from this planning heuristic, then adjust for decay risk, authority gaps, team capacity, and available source material: 60% new content / 30% freshness updates / 10% repurposed content

CadenceMonthly PostsNewRefreshesRepurposed
2 posts/week8521
3 posts/week12741
4 posts/week161051
1 post/week42-310-1

Within new posts, aim for content type diversity:

  • Guides/How-tos: 30-40% of new content
  • Comparisons/Alternatives: 15-20%
  • Listicles/Roundups: 15-20%
  • Case studies/Data research: 10-15%
  • Thought leadership/News analysis: 10-15%
Template Integration

For each new post entry, recommend a content template from these 12 available: how-to-guide, listicle, case-study, comparison, pillar-page, product-review, thought-leadership, roundup, tutorial, news-analysis, data-research, faq-knowledge

Reference: skills/blog/references/content-templates.md for full template details.

Monthly Calendar Format
# Editorial Calendar: [Month Year]

## Publishing Cadence: [N] posts/week
## Content Mix: [N] new / [N] refreshes / [N] repurposed

### Week 1: [Date Range]
| Day | Type | Title | Template | Cluster | Target Keyword | Status |
|-----|------|-------|----------|---------|---------------|--------|
| Mon | New | [Title] | how-to-guide | [Cluster] | [keyword] | Draft |
| Thu | Update | [Existing post] | - | [Cluster] | [keyword] | Refresh |

### Week 2: [Date Range]
| Day | Type | Title | Template | Cluster | Target Keyword | Status |
|-----|------|-------|----------|---------|---------------|--------|
| Mon | New | [Title] | comparison | [Cluster] | [keyword] | Brief |
| Thu | New | [Title] | listicle | [Cluster] | [keyword] | Brief |

### Week 3: [Date Range]
[...]

### Week 4: [Date Range]
[...]

## Content Mix This Month
- New posts: [N]
- Freshness updates: [N]
- Repurposed content: [N]
- Content types: [guides, comparisons, how-tos, listicles, ...]

## Freshness Update Queue
| Post | Last Updated | Priority | Scheduled |
|------|-------------|----------|-----------|
| [slug] | [date] | High | Week 2 |
| [slug] | [date] | Medium | Week 4 |

## Seasonal Hooks
- [Event/trend and how to leverage it]
Quarterly Calendar Format
# Quarterly Editorial Plan: Q[N] [Year]

## Content Strategy
- Topic clusters: [N] active
- New posts planned: [N]
- Freshness updates planned: [N]
- Repurposed content: [N]
- Total content actions: [N]

## Month 1: [Month]
### Focus: [Primary cluster or theme]
| Week | Type | Title | Template | Cluster | Keyword |
|------|------|-------|----------|---------|---------|
| W1 | New | ... | how-to-guide | ... | ... |
| W1 | Update | ... | - | ... | ... |
| W2 | New | ... | comparison | ... | ... |
[...]

## Month 2: [Month]
### Focus: [Primary cluster or theme]
[...]

## Month 3: [Month]
### Focus: [Primary cluster or theme]
[...]

## Quarterly Goals
- [ ] Publish [N] new posts
- [ ] Update [N] existing posts for freshness
- [ ] Complete [Cluster] pillar + [N] supporting pages
- [ ] Achieve [metric target]

Step 5.5: Topic Cluster Progress Tracking

Track the build-out state of each topic cluster. Prioritize completing partially-built clusters over starting new ones.

## Topic Cluster Progress
| Cluster | Pillar | Spokes Published | Spokes Planned | Coverage |
|---------|--------|-----------------|----------------|----------|
| [Topic] | Published | 5/10 | 5 this quarter | 50% |
| [Topic] | Draft | 2/8 | 3 this quarter | 25% |
| [Topic] | Not started | 0/6 | 1 this quarter | 0% |

Rules for cluster prioritization:

  • Clusters at 50%+ coverage: highest priority to complete
  • Clusters with published pillar but few spokes: second priority
  • New clusters: only start when existing clusters reach 75%+ coverage
  • Never have more than 3 clusters in active build-out simultaneously

Step 5.6: Distribution Scheduling

For each new post, plan distribution across channels. Include distribution timing in the calendar output.

## Distribution Schedule
| Post | Publish Date | LinkedIn | Reddit | Email | YouTube |
|------|-------------|----------|--------|-------|---------|
| [Title] | [Date] | Same day | +2-3 days | Next batch | If pillar |

Channel timing rules:

  • LinkedIn: Same day as publish (share key insight + link)
  • Reddit: 2-3 days after publish (share genuine insight, not a link drop)
  • Email newsletter: Batch weekly (include 2-3 posts per newsletter)
  • YouTube: Plan companion video for pillar posts only (resource-intensive)
  • Twitter/X: Same day as publish (thread key takeaways)

Reference: skills/blog/references/distribution-playbook.md for detailed channel tactics.

Step 5.7: Freshness Automation

Set up a system for ongoing freshness maintenance:

## Material-Change Review Queue
| Post | Review Trigger | Evidence | Priority | Owner |
|------|----------------|----------|----------|-------|
| [slug] | [official source/product/fact changed] | [link or observation] | High | [name] |
| [slug] | [sustained performance or intent shift] | [surface-specific comparison] | Medium | [name] |

Automation recommendations:

  • Monitor official sources or product changes for fast-changing topics
  • Sort the queue by material risk and reader impact
  • Use traffic only as context, not proof that an update is needed
  • Update lastUpdated only after substantive content changes
  • Track what changed and compare relevant Search surfaces separately
  • Suggest /blog rewrite only when a substantive review finds work to do

Step 6: Save & Next Steps

Save to calendars/[yyyy-mm]-editorial-calendar.md unless the user specifies another path. Create calendars/ if it does not exist.

Suggested workflow:

  1. Run /blog strategy when positioning or pillars are unclear
  2. Run /blog cluster plan <seed-keyword> for cluster-heavy calendars
  3. Use /blog brief <first-topic> or /blog outline <first-topic> for the first scheduled item
  4. Use /blog write to generate articles from approved briefs or outlines
  5. Use /blog rewrite for freshness updates on existing content
  6. Re-run /blog calendar next month/quarter for the next plan
  7. Review the Content Decay Report weekly and address Critical items first
  8. Track Topic Cluster Progress monthly to ensure clusters reach completion

Frequently asked questions

What does the Blog Calendar AI skill do?

Generate editorial calendars for blogs with topic clusters, publishing schedules, material-change reviews, update plans, seasonal opportunities, content mix formula, template integration, and distribution scheduling. Plans monthly or quarterly calendars around reader needs, evidence changes, and sustainable publishing capacity. Use when user says "editorial calendar", "content calendar", "blog calendar", "publishing schedule", "blog plan", "content plan", "what should I write".

Why use Blog Calendar on TypingMind?

Because you install it once and use it with any model. Blog Calendar is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Blog Calendar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-blog/tree/main/skills/blog-calendar. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Blog Calendar?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Blog Calendar?

As many as you like. As long as a model supports skills, you can use Blog Calendar with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Blog Calendar AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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