Learning & Documentation Agent Skills for HTTP / API

Use whenever writing, drafting, continuing, or revising fiction — short stories, novel chapters, scripts, or any narrative creative…

Use when targeting Human Resource Management (HRM, Wiley) or deciding whether a strategic HRM / employment-relationship manuscript fits…

Write prose that sounds authentically human rather than AI-generated.

Humanise text by removing AI writing patterns so it reads as human-written.

Refines AI-generated Korean text by removing mechanical patterns and translation artifacts to produce natural, human-sounding content.

Reescreve textos em português brasileiro para soarem mais humanos e naturais, reduzindo padrões típicos de escrita gerada por IA sem…

Rewrite AI-sounding text so it reads naturally, specifically, and credibly without changing the underlying meaning.

Remove signs of AI-generated writing from academic medical papers.

Automates the generation of HWPX documents through ZIP-level XML substitution and template-based workflows.

Remove signs of AI-generated writing from text.

Produces narrated STEM lecture and explainer videos by rendering animated HTML and voiceover audio to MP4 using HyperFrames.

Audio and media assets for HyperFrames compositions, produced by one shared audio engine (`scripts/audio.mjs`) — multi-provider TTS…

PraxIS: IB DP Sciences practical & IA coach.

Use to understand why ICALP (EATCS) has no artifact-evaluation track or badge scheme, and what plays the equivalent role for a pure-theory…

Use when preparing an accepted ICALP (EATCS) paper for the LIPIcs open-access camera-ready — converting to the lipics-v2021 document…

Use when matching the argument of an ICALP (EATCS) theory paper to its claim — choosing the proof strategy for an upper or lower bound…

Use when writing the related-work and positioning of an ICALP (EATCS) theory paper — comparing against the best known bounds in the TCS…

Use when making an ICALP (EATCS) theory result independently checkable — writing complete, self-contained proofs in the appendix and a…

Use when splitting an ICALP (EATCS) theory paper between the 15-page main body and the clearly labelled appendix / full version — deciding…

Use when deciding whether a theoretical computer science result belongs at ICALP (EATCS) and, if so, whether it is a Track A (algorithms…

Use when positioning an ICASSP submission across the signal-processing literature — IEEE SPS journals (TSP, TASLP, SPL, TIP and siblings)…