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translate-extract
Extract all Fitzgerald quotes from the metaphor analysis essay with chapter references. Use as the first step in the translation pipeline.
gjohnsx AI Skills
GitHub ↗Explorez les skills IA publiés de gjohnsx et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
11Étoiles des dépôts des skills indexés
0Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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GitHub
translate-lookup
Look up official translations of Fitzgerald quotes from published Spanish/Chinese Gatsby texts. Use after translate-extract to find official translations.
GitHub
mip-pdf
Phase 7 of MIP pipeline - Generate final PDF document from the essay and appendix using pandoc.
GitHub
mip-outline
Phase 4 of MIP pipeline - Create detailed essay outline with thesis, word budgets, and quote assignments for each section.
GitHub
mip-draft
Phase 5 of MIP pipeline - Write the full analytical essay following the outline, hitting word targets, and including proper MIP analysis for each quote.
GitHub
mip-annotate
Phase 2 of MIP pipeline - Orchestrate parallel annotation of all 9 chapters using subagents. Each chapter analyzed independently for metaphors.
GitHub
mip-cluster
Phase 3 of MIP pipeline - Cluster all metaphor annotations into 4 major CMT systems, with quantitative analysis.
GitHub
mip-verify
Phase 6 of MIP pipeline - Verify all quotes against source text, validate quantitative claims, and generate the appendix with sample annotations.
GitHub
translate-essay
Translate the metaphor analysis essay to Spanish or Mandarin, using official quote translations. Use when translating analysis.md to another language.
GitHub
spec-interview
Interview user in-depth about what they're building, then write a comprehensive spec. Use when the user wants to plan a feature, design a system, or needs help defining requirements.
GitHub
mip-research
Phase 1 of MIP pipeline - Research Gatsby metaphor scholarship, establish seed CMT systems, and document MIP procedure for annotators.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.