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confluent-ksqldb
This skill provides expert guidance on Confluent ksqlDB, enabling real-time stream processing on Kafka topics using SQL-like queries. It covers core concepts like streams and tables, joins, aggregations, windowing, and creating materialized views for immediate analytics.
reflect
A self-improving AI memory system that learns from user corrections and successful patterns across sessions, storing knowledge in skill-specific MEMORY.md files to prevent repeated mistakes and enable continuous improvement.
increment-quality-judge-v2
This skill provides AI-powered quality assessment using the LLM-as-Judge pattern, evaluating specifications and plans across 7 dimensions including risk scoring to deliver PASS/CONCERNS/FAIL decisions with actionable recommendations.
cloud-pricing
This skill provides expert 2025 pricing data and comparisons for AWS, Azure, and GCP services, including compute, storage, databases, and serverless options, to help estimate costs, identify savings, and choose the most cost-effective cloud provider.
model-registry
Centralized model versioning and lifecycle management system that tracks ML models from development to production, enabling safe staging, rollback, and full lineage tracking integrated with SpecWeave's increment workflow.
db-designer
Automatically generates database schema from feature descriptions without showing SQL to users. Supports multiple frameworks (Supabase, PostgreSQL, Drizzle) and creates migrations and ORM models. Useful for projects needing data persistence.
lomb-scargle-periodogram
Lomb-Scargle periodogram for finding periodic signals in unevenly sampled time series data. Use when analyzing light curves, radial velocity data, or any astronomical time series to detect periodic variations. Works for stellar rotation, pulsation, eclipsing binaries, and general periodic phenomena. Based on lightkurve library.
moai-lang-r
R 4.4+ development specialist covering tidyverse, ggplot2, Shiny, and data science patterns. Use when developing data analysis pipelines, visualizations, or Shiny applications.
good-mp-post
微信公众号文章发布完整流程管理，包括AI辅助创作、图片生成、排版和发布。
nuxt-data
Provides Nuxt 4 data management patterns including composables, SSR-safe data fetching with useFetch/useAsyncData, and state management with useState and Pinia for building reactive, scalable applications.
warehouse-optimization
Provides concrete SQL examples for partitioning, clustering, and query optimization across Snowflake, BigQuery, and Redshift. Includes practical patterns for materialized views and cost management with specific anti-patterns to avoid.
ml-pipeline-workflow
Guides building end-to-end ML pipelines covering data prep, training, validation, and deployment. Provides templates for DAG orchestration, configuration files, and integration with tools like Airflow, MLflow, and Kubeflow. Includes troubleshooting steps and progressive complexity levels.
map-generator
This skill generates interactive maps using the Leaflet JavaScript library. Use this skill when users need to create geographic visualizations, location-based data displays, or interactive maps for educational textbooks. The skill creates complete MicroSim packages with HTML, CSS, and documentation, optimized for iframe embedding in narrow MkDocs pages with navbar and TOC.
cfn-cerebras-mcp
Provides access to Cerebras MCP tool for fast code generation using Z.ai glm-4.6 model. Best for creating test files, boilerplate code, and repetitive patterns where speed matters more than nuance. Requires prompts shorter than expected output.
swarm-orchestration
This skill provides a framework for orchestrating multiple AI agents to work together on complex tasks. It supports different agent topologies like mesh and hierarchical, handles parallel and sequential task execution, and includes features for shared memory and load balancing. It's built on the agentic-flow library.
Pandas Data Analysis
Master data manipulation, analysis, and visualization with Pandas, NumPy, and Matplotlib
agentic-eval
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
edinet-mcp
Analyze Japanese public company financial statements (BS/PL/CF/財務諸表) from EDINET (FSA/金融庁) — search by company name or stock code, screen companies, compare periods (xbrl-diff). XBRL data, J-GAAP/IFRS/US-GAAP. Japan securities filings.
WhatsApp Business Suite — AI Leads, Channels, Campaigns & 32 MCP Tools
Automate WhatsApp at scale — mine leads from groups with AI, broadcast to channel followers, bulk message with ban-safe delays, schedule campaigns, auto-reply in your voice, collect reviews, and track delivery. 90+ REST endpoints, 32 MCP tools for Claude & GPT, Python SDK. No Meta Business API required. Free tier available.
lead-gen-pipeline
Automated lead generation pipeline with AI-powered lead scoring and personalized follow-up generation. Score leads 0-100 with reasoning, generate context-aware follow-ups in multiple tones. Integrates with any CRM. Use for sales automation, cold outreach, and pipeline management.
openclaw-continuous-learning
Instinct-based learning system for OpenClaw. Analyzes sessions, detects patterns, creates atomic learnings with confidence scoring, and suggests optimizations for self-evolution. Use when: you want your AI agent to learn from its own behavior, improve over time, discover optimization opportunities, or build a self-improving automation system. Don't use when: static agent behavior is preferred.
cloudflare-browser-rendering
Provides detailed implementation guidance for Cloudflare's Browser Rendering API, covering REST endpoints, Workers bindings with Puppeteer/Playwright, MCP servers, and AI automation. Includes concrete code examples for screenshots, PDF generation, session management, and cost optimization strategies.
cloudflare-workers-ai
This skill provides a complete reference for using Cloudflare Workers AI to run serverless GPU inference, including LLMs, text/image generation, embeddings, and handling common errors and rate limits.
cloudflare-full-stack-scaffold
A production-ready starter template for building full-stack applications on Cloudflare, featuring React, Hono, and pre-configured services (D1, KV, R2, Workers AI) with AI SDK integration to accelerate development and prevent common setup errors.