ClickHouse Analytics
ClickHouse database patterns: columnar query optimization, MergeTree engine selection, materialized views, data ingestion pipelines, partition strategies, and high-performance analytical workload design.
Governance Receipt
- Signer
- sovereign-claw-ed25519
- Signed At
- 6/4/2026
- Risk Tier
- T2
- Receipt Hash
- a3cc01a8
- Manifest Hash
- af8f29a315d5f2d4aba439552552df7037dbc57903212453e91eec96b3a4093d
- Signature
- PKfh68bK
- Root Public Key
- 349b0348
Skill Details
- Gate Verdict
- Elevated · Review
- Publication State
- published
- Risk Tier
- T2
- Manifest Hash
- af8f29a3
Download Attested Bundle
More Skills
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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).
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Claude API
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG…