AI Agent Skills

Detect texture-atlas regions and map each source part to its own UV rectangle or projected UV surface. Use when a texture pack must fit a Blender model 1:1, when texture…

distfit is a python library for probability density fitting.

Library for fitting the LPPLS model to data.

A dart package for many helper methods fitting common situations

Detect exoplanet transit periods from TESS space telescope lightcurves. Identifies and removes stellar variability, runs BLS transit search with harmonic filtering, refi…

The English language layer for lyric writing (英文词的重音与节拍对齐). Word stress is fixed inside a polysyllabic word, so the melody bends to the word and never the reverse; stres…

The Japanese language layer for lyric writing (日文词的モーラ与符割り). The counting unit is the mora, not the kana or the syllable - the small tsu, the moraic n and the long vowel…

The Korean language layer for lyric writing (韩文词的音节与받침). One hangul block is one syllable is one note by default - unlike Japanese, a final consonant takes no beat of it…

The tone-melody conflict detector and how to read it (倒字检测器). The one objective, computable criterion this library has - Mandarin dao-zi, where a syllable is heard as a…

Entry point and router for the lyric writing library (作词工作流与路由). The two workflows that fork at the very first question - music-first versus lyrics-first - and their dif…

Closed-loop compare-adjust-repeat workflow for fitting Blender models to supplied front/side/back/top templates and originals. Use when the user asks to compare the prod…

Discipline for integer-relation searches (PSLQ, LLL) that turn high-precision digits into exact constants. Use whenever recognizing a numerical value as a closed form, f…

Refine a rough idea into a well-structured concept through Socratic questioning, targeted research and one or two fitting analysis frameworks (Six Thinking Hats, SCAMPER…

Prevent train-test contamination, target leakage, and temporal leakage. Use when splitting data, fitting preprocessors, or engineering features for time-series ML.

Validate features before training - IC significance, stability, redundancy, and contamination checks. Use when auditing feature quality before model fitting.