fswatch-duckdb
FileSystemWatcher over /tmp with DuckDB/DuckLake persistence. Auto-starts on Amp sessions for resilient file monitoring with temporal queries.
FileSystemWatcher over /tmp with DuckDB/DuckLake persistence. Auto-starts on Amp sessions for resilient file monitoring with temporal queries.
Analyzes and assists with Fujitsu mainframe systems including FACOM, PRIMERGY, BS2000/OSD, OSIV/MSP, OSIV/XSP, NetCOBOL, PowerCOBOL, and Fujitsu JCL. Extracts business logic from Fujitsu COBOL programs, analyzes Fujitsu JCL jobs, migrates Fujitsu mainframe applications to modern platforms (Java, cloud, containers), and creates migration strategies. Use when working with Fujitsu mainframe migration, FACOM systems, BS2000, OSIV platforms, NetCOBOL, PowerCOBOL, Fujitsu-specific COBOL extensions, Fujitsu JCL, or when users mention Fujitsu mainframe modernization, analyzing Fujitsu COBOL/JCL, SYMFOWARE database, or planning migration from Fujitsu legacy systems.
Automatically triggered for database migrations, schema changes, and data transformations. Use when working with database structure, migrations, or ORM models.
Passthrough filter agent. Calls data sub-agents, validates responses, returns only clean data.
Compact context at natural breakpoints to free tokens and continue working. Use PROACTIVELY at phase boundaries, after commits, or when token usage >150k. Better than random auto-compact. Supports custom compaction prompts.
DuckDB time-travel queries for temporal versioning and causality tracking
Use when converting static image sequences (sequence boards) into motion prompts for AI video generation platforms (Runway, Pika, SVD), or describing temporal movement for video synthesis
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.
Analyzing GitHub Copilot session log files to extract token usage, model info, and interaction data. Use when working with session files or debugging token tracking.
Phase-aware context management for coder agents to prevent token bloat through checkpoint/restore pattern
Claude Code용 커스텀 서브에이전트 생성. .claude/agents 또는 ~/.claude/agents에 새 에이전트를 생성, 추가, 구성하려 할 때 사용한다. "에이전트 만들어줘", "에이전트 생성", "서브에이전트 추가", "~를 위한 에이전트 만들어줘" 같은 요청이나 /agent-creator 명령에 트리거된다.
Look up examples and patterns from the official Anthropic Claude Cookbooks repository. Use when you need reference implementations, code examples, or best practices for Claude integrations, tool use, agents, prompting techniques, or API usage.
Generate friendly greetings in multiple languages with cultural context. Use when creating welcome messages, international greetings, or multilingual user interfaces.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Use when writing subagent prompts, skill instructions, or any high-stakes task requiring accuracy and truthfulness
Persistent key-value storage for session data, conversation context, and agent state. Use this skill when the user requests storing or retrieving memory entries such as "Store this in memory", "Remember this preference", "Recall the previous conversation", or "List all memory entries".
Expert knowledge on creating Claude Code subagents. Use when designing or creating subagent .md files, understanding subagent structure, tool restrictions, or model selection.
SDR (GNU Radio) as self-learning REPL with Borges infinite library exploration, reafference random walks, spectral gap 1/4, and maximally mixed state for agency-enabling signal processing.