Creates images and video via Alibaba Wan 2.6 (DashScope), Google Gemini/Veo, and OpenAI GPT Image APIs, plus background extraction workflows. Triggers: image generation, video generation, dashscope, wan 2.6, alibaba, gemini, veo, gpt image, openai images, background removal, alpha extraction, transparent png.
Extract extreme response values with linked statistics from OrcaFlex simulations. Use for design load identification, max/min extraction with associated values, and extreme event characterization.
Publication-quality tables in Python with rich styling, formatting, conditional formatting, and export to HTML/images - inspired by R's gt package
Generates concise summaries of log content using type-specific summarization templates
่ทๅA่กๆฐๆฎ(baostock)ๅนถ็ผๅญๅฐๆฌๅฐCSVๆไปถ๏ผ้ฟๅ MCP่ฟๅๅคง้ๆฐๆฎๅ ็จไธไธๆใ่งฆๅๅบๆฏ๏ผ(1)่ทๅ่ถ ่ฟ100ๆก็K็บฟๆฐๆฎ (2)้่ฆๅคๆฌกๆฅ่ฏขๅไธ่ก็ฅจๆฐๆฎ (3)้่ฆ็จgrep/awkๅๆๆฐๆฎ (4)็จๆทๆๅฐ"ไฟๅญๆฐๆฎ"ๆ"็ผๅญๆฐๆฎ"
Fix markdown table alignment and spacing issues. Use when formatting tables in markdown files, aligning columns, normalizing cell padding, or ensuring proper table structure. Triggers: markdown table, table alignment, table formatting, md table, align columns.
Generates data cleaning pipelines for pandas/polars with handling for missing values, duplicates, outliers, type conversions, and data validation. Use when user asks to "clean data", "generate data pipeline", "handle missing values", or "remove duplicates from dataset".
Orchestrates complete single-document workflows with automatic validation and indexing in a writeโvalidateโindex pipeline
Coordinate FABER-DB operations within FABER workflow phases
Guide for working with IndexedDB database operations in the DEVS platform. Use this when asked to add database tables, modify schemas, or work with data persistence.
Orchestrates multi-log workflows with parallel execution for batch operations across many logs
ใใผใฟๅคๆใใคใใฉใคใณใฎ่จญ่จใปๅฎ่ฃ ใปๆค่จผใๆด็ใใในใญใซใ ในใญใผใใใใใณใฐใETL่จญ่จใๅ่ณช็ขบ่ชใพใงใฎๅฎๅใใญใผใๆไพใใใ Anchors: โข Designing Data-Intensive Applications / ้ฉ็จ: ใใผใฟใขใใชใณใฐ / ็ฎ็: ๅคๆใฎๆดๅๆง็ขบไฟ โข Designing Data-Intensive Applications / ้ฉ็จ: ในใญใผใ่จญ่จ / ็ฎ็: ใใใใณใฐใฎๆ็ขบๅ โข Designing Data-Intensive Applications / ้ฉ็จ: ใใคใใฉใคใณ่จญ่จ / ็ฎ็: ไผธ็ธฎๆงใจ็ฃ่ฆๆงใฎ็ขบไฟ Trigger: Use when designing data transformation pipelines, defining schema mappings, implementing ETL processes, or optimizing data flows. data transformation, schema mapping, etl design, pipeline optimization, data modeling
ใใผใฟใใผในใฎๅๆใใผใฟๆๅ ฅใๅฎๅ จใซ่จญ่จใปๅฎ่ฃ ใปๆค่จผใใในใญใซใ ้็บ/ใในใ/ๆฌ็ชใฎใใผใฟๅ้ขใใทใผใๆฆ็ฅใๅ็พๆงใฎ็ขบไฟใๆด็ใใใ Anchors: โข Designing Data-Intensive Applications / ้ฉ็จ: ใใผใฟๆดๅๆง / ็ฎ็: ๅ็ งๆดๅๆงใฎๆ ไฟ โข Database Reliability Engineering / ้ฉ็จ: ้็จ่จญ่จ / ็ฎ็: ๆฌ็ชๆๅ ฅใฎๅฎๅ จๆง โข Data Quality Principles / ้ฉ็จ: ใใผใฟๅ่ณช / ็ฎ็: ๅ็พๆงใจๆค่จผๆงใฎ็ขบไฟ Trigger: Use when planning database seeding, generating test fixtures, separating datasets by environment, or validating seed data quality. database seeding, test data, fixtures, seed strategy, environment separation, data validation
Discipline epistemique stricte pour eliminer les derives cognitives de Claude. Activation SYSTEMATIQUE sur TOUTES les conversations. Impose: (1) Zero invention/supposition, (2) Honnetete absolue, (3) Vision holistique avec relecture du contexte, (4) Questions plutot que suppositions, (5) Remise en contexte perpetuelle avec checkpoints structures, (6) Documentation incrementielle sans doublons, (7) Vigilance workflow/CI-CD/securite, (8) TODO/plan obligatoire avant tout travail, (9) Documentation FR/EN scholar style signee Julien GELEE, (10) Zero credentials/API keys/donnees sensibles en clair. Posture ingenieur generaliste specialise IA.
@effect/ai integration patterns for categorical AI composition, typed error handling, and production prompt pipelines. Use when building AI applications with Effect-TS, composing LLM calls with typed errors, creating tool-augmented AI systems, implementing structured output generation, or integrating multiple AI providers (OpenAI, Anthropic) with categorical composition patterns.
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent workflows, tool integrations, or streaming applications with the openai-agents package.
Use semantic memory from code-recall MCP to remember decisions, patterns, and learnings across sessions. Call get_briefing at session start, check_rules before major changes, and store_observation after important decisions.
Moderate YouTube live chat by detecting spam, toxic content, and enforcing rate limits. PROTOTYPE for testing pattern fidelity before deploying to native Qwen/Gemma.
