Content logo

Content

Community
notque
content

Content operations: editorial calendar, marketing, publishing, social media management.

Overview

Publishernotque
Repositoryvexjoy-agent
Skill namecontent
Stars
443
Forks
50
Bundled files
63
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.

  • 63 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Content 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.
    https://github.com/notque/vexjoy-agent/tree/main/skills/content/content
  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/notque/vexjoy-agent.git /tmp/vexjoy-agent
mkdir -p .claude/skills
cp -r /tmp/vexjoy-agent/skills/content/content .claude/skills/content
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content 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 Content 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 Content 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.

Content Skill

Six modes: Calendar (editorial pipeline), Marketing (SEO, campaigns, email, competitive), Publish (outline, pre-publish, SEO, audits, WordPress), Social-X (X/Twitter posts and threads), Social-Bluesky (public feed reading), Social-Reddit (moderation). Classify the request and follow the matching section.

Mode Selection

ModeSignals
Calendareditorial calendar, content pipeline, ideas, scheduling, topics, headlines, news, series, repurpose
MarketingSEO audit, campaign, email sequence, content strategy, competitive analysis, brand review, performance
Publishoutline post, pre-publish check, SEO optimize, batch edit, audit links, audit images, taxonomy, WordPress upload
Social-Xpost to X, tweet, thread, X API
Social-Blueskyread Bluesky, Bluesky feed, search Bluesky
Social-Redditmoderate Reddit, modqueue, reports

Calendar Mode

Manage editorial content through 6 pipeline stages: Ideas, Outlined, Drafted, Editing, Ready, Published. All state lives in a single content-calendar.md file.

Workflow

  1. READ -- Load and parse content-calendar.md. Validate all sections exist. Do not trust memory; always re-read the actual file.
  2. EXECUTE -- Perform the requested operation:
    • View: count per stage, upcoming scheduled (14 days), in-progress, recent publications (30 days). Flag stuck content (14+ days in one stage).
    • Add idea: check for duplicate titles (case-insensitive), append to Ideas.
    • Move: forward only through defined sequence (Ideas -> Outlined -> Drafted -> Editing -> Ready -> Published). Record YYYY-MM-DD timestamp at each transition.
    • Schedule: set date on Ready items. Date must be today or future.
    • Archive: move Published entries older than current month to Historical sections.
  3. WRITE -- Persist changes, re-read file to verify.

Calendar Sub-modes

RequestLoad
Topic brainstorming, idea generationreferences/topic-brainstormer.md
Headlines, title generationreferences/headlines.md
Series planning, multi-part contentreferences/series-planner.md
Content repurposing, platform variantsreferences/content-engine.md
News collection, item qualificationreferences/news-collection.md

Marketing Mode

Seven sub-modes. Always load references/llm-marketing-failure-modes.md alongside mode-specific references for detection heuristics against generic copy, keyword stuffing, fabricated metrics.

Sub-modeSignalsFrameworkLoad
SEO_AUDITSEO audit, keywords, content gaps, technical SEORESEARCH -> AUDIT -> PRIORITIZEreferences/seo-audit.md
CAMPAIGNCampaign plan, product launch, lead gen, budgetBRIEF -> PLAN -> CALENDARreferences/campaign-planning.md
CONTENTContent strategy, editorial calendar, funnel mappingAUDIT -> PLAN -> DELIVERreferences/content-strategy.md
EMAILEmail sequence, drip campaign, nurture flowSEQUENCE -> DRAFT -> AUTOMATEreferences/email-sequences.md
COMPETITIVECompetitor research, battlecard, positioningRESEARCH -> COMPARE -> POSITIONreferences/seo-audit.md + references/campaign-planning.md
BRANDBrand review, voice check, messaging consistencyAUDIT -> EVALUATE -> RECOMMENDreferences/content-strategy.md
PERFORMANCEMarketing report, campaign results, ROIGATHER -> ANALYZE -> REPORTreferences/campaign-planning.md

SEO Audit Quick Steps

  1. Gather: URL/domain, audit type, target keywords, competitors (identify 2-3 via web search if not provided).
  2. Keyword research: classify by intent (informational, navigational, commercial, transactional). Assess difficulty and opportunity.
  3. On-page audit: title tags, meta descriptions, H1/H2, keyword usage, internal linking, image alt text, URL structure.
  4. Technical: page speed, mobile, structured data, crawlability, HTTPS, Core Web Vitals.
  5. Content gaps: competitor topic coverage, freshness, thin content, funnel gaps.
  6. Output: executive summary, keyword table (15-25), issues table, content gap recommendations, technical checklist, competitor matrix, prioritized action plan.

Publish Mode

Eight sub-modes covering the blog publishing pipeline.

Sub-modeSignalsLoad
Outlineoutline post, blog structure, article outlinereferences/outline.md
Pre-publishpre-publish check, Hugo validation, frontmatterreferences/pre-publish.md
SEOcheck SEO, optimize SEO, meta descriptionreferences/seo.md
Batch-editbatch edit posts, bulk frontmatter, find/replacereferences/batch-edit.md
Link-auditaudit links, broken links, link healthreferences/link-audit.md
Image-auditaudit images, alt text, image accessibilityreferences/image-audit.md
Taxonomyaudit taxonomy, fix tags, merge categoriesreferences/taxonomy.md
WordPressupload to WordPress, create draft, edit postreferences/wordpress-upload.md

Outline Quick Steps

  1. Gather: topic, target audience, desired format, word count range, SEO target keyword.
  2. Research: check existing coverage, identify gaps, gather supporting data.
  3. Structure: working title, hook, thesis, 3-7 sections with sub-points, conclusion CTA.
  4. Validate: logical flow, sufficient depth per section, SEO keyword placement plan.

Pre-publish Quick Steps

  1. Check: title, date, slug, description, tags, categories, featured image, author, draft=false.
  2. Content: spell check, broken internal links, image paths, code blocks render, meta descriptions.
  3. SEO: title tag (<60 chars), meta description (120-160 chars), keyword in H1 and first paragraph.

Social-X Mode

OAuth-authenticated X/Twitter posting via x-api-poster.py. 4-phase pipeline with confirmation gate.

Workflow

  1. VALIDATE -- Check credentials: python3 $HOME/.claude/scripts/x-api-poster.py post --dry-run --text "ping". Requires X_API_KEY, X_API_SECRET, X_ACCESS_TOKEN, X_ACCESS_SECRET, X_BEARER_TOKEN. Read-only ops need only X_BEARER_TOKEN.
  2. CONFIRM -- Show user the exact text. For threads: python3 $HOME/.claude/scripts/x-api-poster.py thread --dry-run --texts "part 1" "part 2". Enforce 280-char limit per tweet. Wait for explicit user confirmation.
  3. POST -- Execute with --confirmed flag: python3 $HOME/.claude/scripts/x-api-poster.py post --confirmed --text "text". For media: --media /path/to/image.png.
  4. VERIFY -- Report tweet URL and rate limit status.

Social-Bluesky Mode

Read public Bluesky feeds via AT Protocol. No auth required.

Commands

bash
# Fetch recent posts
python3 ~/.claude/scripts/bluesky_reader.py feed --handle HANDLE --limit 20

# Search posts
python3 ~/.claude/scripts/bluesky_reader.py search --handle HANDLE --query "terms"

# JSON output for pipelines
python3 ~/.claude/scripts/bluesky_reader.py feed --handle HANDLE --json

Endpoint: https://public.api.bsky.app/xrpc/app.bsky.feed.getAuthorFeed. Limit: 1-100 posts. Search is local keyword filter (all words must appear, case-insensitive).


Social-Reddit Mode

Reddit moderation via PRAW. Three modes:

ModeCommandBehavior
Interactiveinvoke directlyFetch, classify, present, confirm actions
Auto/loop 10m /reddit-moderate --autoAuto-action high-confidence, flag rest
Dry-run--dry-runShow recommendations without acting

Workflow

  1. FETCH -- python3 scripts/reddit-moderate/reddit-mod.py queue --json --limit 25 | python3 scripts/reddit-moderate/reddit-mod.py classify. Loads subreddit context from reddit-data/{subreddit}/.
  2. CLASSIFY -- Fill classification, confidence, and reasoning for each item using the assembled prompt.
  3. PRESENT -- Group by confidence tier (high/medium/low). Show: title, author, report reason, classification, action, reasoning.
  4. ACT -- Execute confirmed actions: python3 scripts/reddit-moderate/reddit-mod.py action --item-id ID --action approve|remove|spam.

Deep References

Load when the task needs detailed patterns, specifications, or examples.

Calendar

SignalReference
Pipeline stage definitions, transitionsreferences/pipeline-stages.md
Calendar file format, sectionsreferences/calendar-format.md
Operation execution detailsreferences/operations.md
Pipeline health, velocity metricsreferences/metrics.md
Calendar error recoveryreferences/error-handling.md

Marketing

SignalReference
SEO audit methodologyreferences/seo-audit.md
Campaign planning, budgetreferences/campaign-planning.md
Content strategy, frameworksreferences/content-strategy.md
Email sequences, drip campaignsreferences/email-sequences.md
LLM marketing failure modesreferences/llm-marketing-failure-modes.md

Publish

SignalReference
Blog outline methodologyreferences/outline.md
Pre-publish Hugo checklistreferences/pre-publish.md
Post-level SEOreferences/seo.md
Batch editing methodologyreferences/batch-edit.md
Link health scanningreferences/link-audit.md
Image audit, alt textreferences/image-audit.md
Taxonomy managementreferences/taxonomy.md
WordPress API uploadreferences/wordpress-upload.md

Social

SignalReference
X API detailsreferences/x-api.md
AT Protocol endpointsreferences/at-protocol-api.md
AT Protocol troubleshootingreferences/at-protocol-preferred-patterns.md
Reddit classification categoriesreferences/classification-prompt.md
Reddit script commandsreferences/script-commands.md

Scripts

DomainScriptLocation
Reddit moderationreddit-mod.pyscripts/reddit-moderate/reddit-mod.py
Link scanninglink_scanner.pyscripts/publish/link_scanner.py
PageSpeedpagespeed.pyscripts/publish/pagespeed.py
WordPress uploadwordpress-upload.pyscripts/publish/wordpress-upload.py
WordPress editwordpress-edit-post.pyscripts/publish/wordpress-edit-post.py
WordPress mediawordpress-media-upload.pyscripts/publish/wordpress-media-upload.py
X API posterx-api-poster.py$HOME/.claude/scripts/x-api-poster.py
Bluesky readerbluesky_reader.py$HOME/.claude/scripts/bluesky_reader.py

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 3 more files.

Frequently asked questions

What does the Content AI skill do?

Content operations: editorial calendar, marketing, publishing, social media management.

Why use Content on TypingMind?

Because you install it once and use it with any model. Content 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 Content in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/notque/vexjoy-agent/tree/main/skills/content/content. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Content?

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 Content?

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

Is the Content AI skill free?

Yes. It is published on GitHub by notque 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇