From agentskill-kaizen
Starts interactive exploration of project transcripts: surveys sessions, tools, errors, interrupts; user steers targeted queries and saves findings.
npx claudepluginhub jamie-bitflight/claude_skills --plugin agentskill-kaizen[--project <name>]Start an interactive transcript exploration session. Present initial findings from the transcript corpus, then let the user steer deeper investigation. ## Arguments - `--project <name>` — Scope to a specific project transcript directory. Default: current project. ## Execution Steps 1. **Resolve transcript path.** Same logic as `/agentskill-kaizen:analyze` — derive project key from `--project` flag or current working directory. 2. **Run initial survey.** Use DuckDB MCP to run a quick corpus overview: - Total session count and date range - Record type distribution - Top 10 most-...
/exploreGuides Socratic ideation on an optional topic via probing questions, optional research, and routes outputs to GSD artifacts like notes, todos, seeds, requirements, or phases.
/exploreAnalyzes blockchain addresses, transactions, smart contracts, blocks, and tokens, producing structured markdown reports with balances, histories, holdings, and insights.
/exploreExplores codebase to map structure, detect tech stack, patterns, entry points, and CI/CD setup, producing a structured project overview.
/exploreExplores codebase iteratively by keyword: searches file names, code content, git history; refines results interactively or automatically up to depth N, tracks dependencies, summarizes structure and relations.
Share bugs, ideas, or general feedback.
Start an interactive transcript exploration session. Present initial findings from the transcript corpus, then let the user steer deeper investigation.
--project <name> — Scope to a specific project transcript directory. Default: current project.Resolve transcript path. Same logic as /agentskill-kaizen:analyze — derive project key from --project flag or current working directory.
Run initial survey. Use DuckDB MCP to run a quick corpus overview:
Present findings to user. Display the survey results and suggest investigation directions:
Follow user direction. Based on user response, run targeted queries:
Save findings on request. When the user wants to save findings, write to .planning/kaizen/exploration-{date}.md.
This command runs interactively — do NOT spawn an autonomous agent. Stay in the main conversation so the user can steer the investigation in real-time. Use MCP tools directly for queries.