Search

PythonReactSEOPDF

dasalazarr AI Skills

GitHub ↗

Browse published AI skills maintained by dasalazarr. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

6

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

6 skills

Browse skills

GitHub

technical-seo

dasalazarr

Implements Schema.org structured data for AndesRC articles. Adds ExercisePlan, HowTo, and FAQPage markup. Optimizes meta titles and descriptions. Use before publication.

GitHub

content-writer

dasalazarr

Generates article drafts for AndesRC blog in brand voice. Follows E-E-A-T guidelines, includes first-person narratives, cites clinical studies, and integrates natural CTAs to WhatsApp coaching. Use after SEO ou...

GitHub

content-strategist

dasalazarr

Defines editorial priorities for AndesRC blog. Maps topics to funnel stages (TOFU/MOFU/BOFU), identifies pillar vs. satellite content, and ensures alignment with the 4 content pillars. Use when starting a new c...

GitHub

seo-researcher

dasalazarr

Performs keyword research, competitive SERP analysis, and generates article outlines optimized for AI Overviews. Use before drafting any article. Focuses on long-tail keywords and semantic structure for LLM dig...

GitHub

content-publisher

dasalazarr

Handles the publication workflow for AndesRC blog articles. Creates markdown files, triggers builds, submits to Google Search Console, and initiates promotion. Use as the final step in the content pipeline.

GitHub

content-localizer

dasalazarr

Adapts AndesRC content for specific regional markets (Mexico, Spain, LATAM). Handles lexical adaptation, cultural references, and geographic narratives. CRITICAL for Mexican market due to term sensitivities.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.