continuity-ledger
Create or update continuity ledger for state preservation across clears
Create or update continuity ledger for state preservation across clears
Standard workflow order, tool selection matrix, and composition patterns for qsv CSV data wrangling
Quality dimensions quick reference and remediation decision tree for tabular data assessment
Machine-readable journal format for reproducible data analysis operations
Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.
Orchestrates the complete talk preparation pipeline from raw material to revision sheets, running 6 stages in sequence with human-in-the-loop checkpoints for REX or Concept mode talks. Use when starting a new talk pipeline, resuming a pipeline from a specific stage, or running the full end-to-end preparation workflow.
Expert Cinema Director skill for Seedance 2.0 (ByteDance) — high-fidelity video generation using technical camera grammar and multimodal references. Supports text-to-video, image-to-video, video extension, beat-matching, dialogue, and e-commerce patterns.
Database Architect & Operations Engineer (Dara). Use for database design, schema architecture, Supabase configuration, RLS policies, migrations, query optimization, data modelin...
Drop-in pandas replacement with ClickHouse performance. Use `import chdb.datastore as pd` (or `from datastore import DataStore`) and write standard pandas code — same API, 10-100x faster on large datasets. Supports 16+ data sources (MySQL, PostgreSQL, S3, MongoDB, ClickHouse, Iceberg, Delta Lake, etc.) and 10+ file formats (Parquet, CSV, JSON, Arrow, ORC, etc.) with cross-source joins. Use this skill when the user wants to analyze data with pandas-style syntax, speed up slow pandas code, query remote databases or cloud storage as DataFrames, or join data across different sources — even if they don't explicitly mention chdb or DataStore. Do NOT use for raw SQL queries, ClickHouse server administration, or non-Python languages.
AI-assisted dataset annotation with COCO export — bbox, SAM2, DINOv3 methods
Dataset annotation management — COCO labels, sequences, export, and Kaggle upload
Design and implement collaborative data schemas using the Jazz framework. Use this skill when building or working with Jazz apps to define data structures using CoValues. This skill focuses exclusively on schema definition and data modeling logic.
YAML 流水线转换指南,涵盖 YAML 与 Model 双向转换、PAC(Pipeline as Code)实现、模板引用、触发器配置。当用户需要解析 YAML 流水线、实现 PAC 模式、处理流水线模板或进行 YAML 语法校验时使用。
数据库分片指南,涵盖分片策略设计、分片键选择、跨分片查询、数据迁移、分片路由规则。当用户设计数据库分片、选择分片键、处理跨分片查询或进行分片数据迁移时使用。
YAML 流水线转换指南,涵盖 YAML 与 Model 双向转换、PAC(Pipeline as Code)实现、模板引用、触发器配置。当用户需要解析 YAML 流水线、实现 PAC 模式、处理流水线模板或进行 YAML 语法校验时使用。
Interactive Hamilton DAG development via MCP tools. Validate, visualize, scaffold, and execute Hamilton pipelines without leaving the conversation. Use when building or debugging Hamilton dataflows interactively.
Performance and parallelization patterns for Hamilton including async I/O, Spark, Ray, Dask, caching, and multithreading. Use for scaling Hamilton workflows.
Query Etherscan V2 API for gas prices, account transactions, balances, token transfers, contract source code, and compilation metadata via Nethereum.DataServices
Stream real-time blockchain data with Nethereum. Use when the user asks about WebSocket subscriptions, new block headers, pending transactions, event log streaming, Rx observables, DEX monitoring, or live token transfer tracking.
Claw Compactor — 6-layer token compression skill for OpenClaw agents. Cuts workspace token spend by 50–97% using deterministic rule-engines plus Engram: a real-time, LLM-driven Observational Memory system. Run at session start for automatic savings reporting.