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joelborellis AI Skills

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

Author statistics

Indexed skills

7

Repository stars across indexed skills

14

Repository forks

0

Average repository stars per indexed skill

2

Repository stars may repeat across skills from the same repository.

7 skills

Browse skills

GitHub

mockumentary-screenplay

joelborellis

Write mockumentary screenplays in Fountain format with proper documentary conventions, talking head formatting, and comedic dialogue. Use when user needs to write screenplay pages, format talking heads, write v...

GitHub

mockumentary-pitch

joelborellis

Create pitch materials for mockumentary projects including loglines, synopses, one-pagers, and lookbooks. Use when user needs to create pitch materials, write a logline, develop a synopsis, make a pitch deck, o...

GitHub

mockumentary-structure

joelborellis

Structure mockumentary screenplays with documentary framing, talking heads, and comedic beats. Use when user needs to outline a mockumentary, plan act structure, place talking heads, design documentary sequence...

GitHub

mockumentary-revision

joelborellis

Revise and polish mockumentary screenplays for comedy timing, tonal consistency, and documentary authenticity. Use when user needs to revise a mockumentary draft, punch up comedy, check tonal consistency, tight...

GitHub

mockumentary-concept

joelborellis

Develop mockumentary film concepts including premise, world, stakes, and satirical targets. Use when user wants to brainstorm mockumentary ideas, develop a documentary-comedy premise, find satirical angles, or...

GitHub

mockumentary-characters

joelborellis

Create mockumentary characters with talking head personas, comedic blind spots, and ensemble dynamics. Use when user needs to develop characters for a mockumentary, create character profiles, design talking hea...

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.