clickhouse-system-quer…
Query ClickHouse system tables to inspect query logs, monitor cluster health, check replication status, and analyze slow queries. Use when the user mentions…
Investigate application or repository source code with search_file and read_file to explain behavior, trace root causes of runtime or query errors, and answer with precise file citations.
$ npx -y skills add FrankChen021/datastoria --skill source-code-inspection --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/source-code-inspectionContext preview
The summary Claude sees to decide when to auto-load this skill.
Investigate application or repository source code with search_file and read_file to explain behavior, trace root causes of runtime or query errors, and answer with precise file citations.
name: source-code-inspection description: Investigate application or repository source code with search_file and read_file to explain behavior, trace root causes of runtime or query errors, and answer with precise file citations. metadata: author: DataStoria tools: search_file, read_file
Use this skill when the user wants to:
1. Use `search_file` first to locate relevant files and line numbers before reading content. 2. Use `read_file` only for targeted sections; do not read entire files or large ranges. 3. Prefer narrow, iterative reads: search identifiers, function names, or error strings, then expand only when necessary. 4. Do not claim to have reviewed code that was not loaded with tools in this conversation. 5. If `no matches found`, refine the search and retry before giving up.
Always use this exact format for source-file citations:
Use repo-relative paths and line anchors whenever possible. Do not use normal markdown links for source-code citations. Do not wrap file citation tokens in backticks, inline code, or fenced code blocks in your final answer. Use them as plain citation tokens in normal prose or list items so the UI can render them as clickable links.
The AI-native ClickHouse console for your cluster diagnostics, query generation, evidence-based optimization, intelligent visualization.
Repo: FrankChen021/datastoria
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