Skills publicadas
Mostrando 12 de 7.366dbcraft
Open and operate the local DB Craft visual schema studio at D:\DBdesigner. Use it to design or edit MySQL 8, PostgreSQL 14, SQLite, and MSSQL models, generate tables with AI, import CREATE TABLE scripts, validate schema structure, save workspace models, export SQL, and prepare migration-ready artifacts for a separate deployment workflow.
frontend-api-client-with-jwt
A conceptual skill for building an API client in Next.js that handles JWT tokens
data-visualization
Chart and visualization generation for DBX Studio. Use when a user wants to visualize data — bar charts, line graphs, pie charts, scatter plots, etc.
seedance-prompt
为 Seedance 2.0 视频生成模型撰写产品宣传动画提示词(Motion Graphics Prompt)。 生成 15 秒一镜到底的动态影像提示词,支持 4 种美学风格(Apple/Microsoft/Bauhaus/Vercel)。 支持垫图(参考图)模式,自动标注图片占位符。 生成提示词后可通过即梦 Dreamina CLI 直接生成视频(自动检测安装状态)。 TRIGGER when: 用户需要生成 Seedance 视频提示词、产品宣传动画提示词、motion graphics prompt, 或提到 "Seedance"、"视频提示词"、"产品动画"、"宣传视频提示词"、"video prompt"。 Keywords: Seedance, 视频提示词, video prompt, motion graphics, 产品动画, 宣传动画, 垫图, Dreamina
ml-antipattern-validator
Prevents 30+ critical AI/ML mistakes including data leakage, evaluation errors, training pitfalls, and deployment issues. Use when working with ML training, testing, model evaluation, or deployment.
developer-growth-analysis
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
looker-studio-bigquery
Projeta e configura painéis do Looker Studio com fontes de dados BigQuery, gerenciando conexões, consultas SQL personalizadas e agendadas, design de painéis e otimização de desempenho para análises e visualização.
bio-ribo-seq-ribosome-periodicity
Validate Ribo-seq data quality by checking 3-nucleotide periodicity and calculating P-site offsets. Use when assessing library quality or determining read offsets for downstream analysis.
bio-chipseq-chip-deep-learning
Trains and applies base-resolution deep learning models on ChIP-seq / ChIP-nexus / CUT&RUN data. Uses BPNet (Avsec 2021 Nat Genet 53:354; soft motif syntax from ChIP-nexus), chromBPNet (Pampari A et al 2025 Nat Genet; bias-factorized base-resolution profiles), EnFormer (Avsec 2021 Nat Methods 18:1196; 196 kb input, ~100 kb effective receptive field), DeepSEA (Zhou 2015; multi-task CNN), and JASPAR
bio-conformer-generation
Generates 3D conformer ensembles using RDKit ETKDGv3 with knowledge-enhanced distance geometry, MMFF94/UFF force-field optimization, CREST + GFN2-xTB semi-empirical refinement, and macrocycle-aware torsion preferences. Provides explicit decision rules for single vs ensemble conformer use, RMSD pruning, energy windows, conformer count, and force-field choice. Use when preparing 3D ligands for docki
plan
Plan lifecycle management for Codex plans stored in $CODEX_HOME/plans (default ~/.codex/plans). Use when a user asks to create, find, read, update, delete, or manage plan documents for implementation work or overview/reference documentation.
tasks-generator
Generate structured task roadmaps from project specifications. Use when the user asks to create tasks, sprint plans, roadmaps, or work breakdowns based on PRD (Product Requirements Document), Tech Specs, or UI/UX specs. Triggers include requests like "generate tasks from PRD", "create sprint plan", "break down this spec into tasks", "create a roadmap", or "plan the implementation".