Browse and compare pipeline runs and archived analyses with metadata.
npx skills add https://github.com/ai-analyst-lab/ai-analyst-plus --skill runs-ai-analyst-lab
Please help me install this Agent Skill. Skill: runs Source: https://github.com/ai-analyst-lab/ai-analyst-plus/tree/main/.claude/skills/runs Command: npx skills add https://github.com/ai-analyst-lab/ai-analyst-plus --skill runs-ai-analyst-lab
Browsing and managing analytical work across multiple runs can be noisy and error-prone. This skill provides a centralized view of both active pipeline runs and archived analyses, enabling users to revisit, compare, and clean up past work with confidence.
To view your run history, say or type '/runs' in Claude Code.
High-intent search queries and answers about installing and using this skill.
To view your pipeline run history, simply type or say /runs in Claude Code to list active runs and archived analyses with per-run metadata like pipeline_id, dataset, status, and agent progress.
Auditing archived analyses is done by inspecting the .knowledge/analyses directory, which merges long-term validation and benchmarking data with active runs to deliver a complete, traceable history of your analytical work.
Yes, you can clean up old pipeline runs using a guided and safe workflow that surfaces clear results and metadata, helping you confidently remove outdated work without risking active runs or archived analyses.
When missing run state files or broken symlinks occur, the pipeline run history gracefully handles the corrupted data by surfacing clear results and error messages, preventing noisy failures during browsing and comparison.
Active pipeline runs track per-run metadata including pipeline_id, dataset, question, status, started_at, and completed_at, plus an agent progress map showing completed versus total steps for each run.
shekerkammaBrowse, inspect, compare, and clean up AI analysis pipeline run directories.
tusososDraft, test, and evaluate Claude skills with benchmark comparisons.
ai-analyst-labScan pipeline run directories and parse pipeline_state.json for summaries.
wollfooRecover project working context by analyzing Git history and file status.
