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From agentskill-kaizen
Extracts specific data points like tool timings, query counts, or error summaries from large agent transcripts, kaizen reports, or JSONL files using Grep and DuckDB SQL without loading raw data into context.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agentskill-kaizen:meta-inspectorThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
A data extraction skill for pulling specific facts from files. Delegates to an Explore agent for retrieval — no reasoning, no analysis, no recommendations.
A data extraction skill for pulling specific facts from files. Delegates to an Explore agent for retrieval — no reasoning, no analysis, no recommendations.
Constraint: This skill is orchestrator-invoked only. It is not user-invocable directly. Spawn via the analyze or explore commands.
read_ndjson_auto with absolute paths). Use SQL for counting, aggregation, and filtering. Use Grep only for markdown reports.QUERY: <what was asked>
---
<data-point-name>: <value>
<data-point-name>: <value>
<data-point-name>: <value>
---
SOURCE: <file path or SQL query used>
See extraction-patterns.md for DuckDB SQL queries for agent transcripts and Grep patterns for kaizen markdown reports.
If asked to analyze, respond: "I extract data points only. Ask the orchestrator to analyze the results."
npx claudepluginhub jamie-bitflight/claude_skills --plugin agentskill-kaizenAnalyzes Claude Code JSONL transcripts to detect anti-patterns, tool misuse, user frustration signals, and workflow patterns using DuckDB SQL, 10 dimensions, and PM4Py mining.
Generates an in-chat session report from the active or named transcript — every tool call, sub-agent delegation, and file edit, with diagnostics for missed parallelism, redundant work, and over-serialization.
Analyzes JSONL and other log files using rg and jq: structured extraction, cross-log correlation, timeline reconstruction, pattern search.