claude-blog and claude-skills-marketplace

These are ecosystem siblings within the Claude Code Skills framework—one provides domain-specific skills for content management workflows while the other provides domain-specific skills for software engineering workflows, both implementing the same underlying skill abstraction layer.

claude-blog
57
Established
claude-skills-marketplace
51
Established
Maintenance 13/25
Adoption 10/25
Maturity 11/25
Community 23/25
Maintenance 10/25
Adoption 10/25
Maturity 13/25
Community 18/25
Stars: 220
Forks: 64
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 463
Forks: 51
Downloads:
Commits (30d): 0
Language: HTML
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About claude-blog

AgriciDaniel/claude-blog

Claude Code skill ecosystem for blog content creation, optimization, and management. Dual-optimized for Google rankings and AI citations.

Implements a modular skill architecture with 22 sub-skills that orchestrate content generation across 12 templates, quality scoring across five dimensions (content, SEO, E-E-A-T, technical, AI citation readiness), and integrates Google APIs (Search Console, PageSpeed, CrUX, GA4, NLP), NotebookLM research, Gemini TTS/image generation, and CMS platforms (WordPress, Ghost, Shopify, Strapi, Sanity). Detects keyword cannibalization, fact-checks statistics against source URLs, and applies persona-driven writing with readability enforcement, while dual-optimizing posts for both Google Core Updates and AI citation platforms through answer-first formatting and passage-level citability.

About claude-skills-marketplace

mhattingpete/claude-skills-marketplace

Claude Code Skills for software engineering workflows - Git automation, testing, and code review

Based on the README, here's a technical summary: Provides modular Claude Code plugins (Engineering Workflows, Visual Documentation, Code Operations, Productivity Skills) that activate contextually through declarative SKILL.md and AGENT.md files—enabling Git automation, testing, code review, visual diagram generation, and code refactoring without explicit user invocation. Implements the Anthropic code execution pattern via a sandboxed FastMCP server runtime, achieving 90-99% token reduction for bulk operations by executing Python locally rather than processing files through context.

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