ai-analyst-lab/.claude/skills/runs

Skill: Runs

Purpose

Browse, inspect, compare, and clean up past pipeline runs. Each run is a self-contained directory under working/runs/ with its own working files, outputs, and pipeline state.

When to Use

• User says /runs, /runs list, /runs latest, /runs clean, or /runs compare
• When the user wants to see what analyses have been executed

Invocation

• /runs or /runs list -- list all past runs
• /runs latest -- show details of the most recent run
• /runs {id} -- show details of a specific run (partial match supported)
• /runs clean -- remove runs older than 30 days (confirmation required)
• /runs compare {id1} {id2} -- compare two runs side by side

Instructions

Step 1: Scan Run Directory

Read working/runs/ directory. Each subdirectory is a run, named:

{YYYY-MM-DD}_{DATASET}_{SHORT_TITLE}/

For each run directory, read pipeline_state.json to extract:

• pipeline_id -- timestamp identifier
• dataset -- dataset name
• question -- the business question
• status -- completed, failed, paused, or running
• run_dir -- full path
• started_at, completed_at -- timing
• steps -- agent status map (to compute agent counts)

If pipeline_state.json is missing, infer status as unknown and derive date/dataset from the directory name.

Step 2: Execute Command

List (/runs or /runs list):

Display a table sorted by date descending:

Pipeline Runs (working/runs/)

| # | Date       | Dataset   | Title                    | Status    | Agents |
|---|------------|-----------|--------------------------|-----------|--------|
| 1 | 2026-02-23 | acme-analytics | why-revenue-dropped-q3   | completed | 14/14  |
| 2 | 2026-02-21 | acme-analytics | activation-funnel-deep   | failed    | 8/14   |
| 3 | 2026-02-19 | hero      | churn-by-segment         | completed | 14/14  |

3 runs found. Use `/runs {#}` or `/runs {date_dataset_title}` for details.

The Agents column shows {completed}/{total} from the step map.

Latest (/runs latest):

Read working/latest symlink target. Display the detail view (same as /runs {id}).

Detail (/runs {id}):

Match {id} against run directory names (supports partial match -- e.g., /runs acme-analytics matches the most recent acme-analytics run). Display:

Run: {directory_name}
Status: {status}
Dataset: {dataset}
Question: {question}
Started: {started_at}
Completed: {completed_at} ({duration})

Agent Status:
  completed: {list}
  failed: {list with errors}
  skipped: {list}
  pending: {list}

Output Files:
  - {RUN_DIR}/outputs/{file1}
  - {RUN_DIR}/outputs/{file2}
  ...

Confidence: {grade from validation if available}

If the run has a validation report, extract and show the confidence grade.

Clean (/runs clean):

1. Identify runs older than 30 days (based on directory date prefix)
2. List them and ask for confirmation:

   Found {N} runs older than 30 days:
     - {dir1} (completed, {date})
     - {dir2} (failed, {date})
   
   Delete these runs? This cannot be undone. [y/N]
   

3. On confirmation, remove the directories
4. If working/latest pointed to a deleted run, remove the symlink

Compare (/runs compare {id1} {id2}):

Load pipeline_state.json and key output files from both runs. Display:

Comparing Runs:
  A: {dir1}
  B: {dir2}

| Dimension          | Run A              | Run B              |
|--------------------|--------------------|--------------------|
| Date               | {date_a}           | {date_b}           |
| Dataset            | {dataset_a}        | {dataset_b}        |
| Status             | {status_a}         | {status_b}         |
| Agents completed   | {count_a}          | {count_b}          |
| Confidence grade   | {grade_a}          | {grade_b}          |
| Charts generated   | {chart_count_a}    | {chart_count_b}    |
| Key findings       | {finding_count_a}  | {finding_count_b}  |
| Duration           | {duration_a}       | {duration_b}       |

If both runs analyzed the same dataset, also compare:

• Top 3 findings from each (extracted from analysis reports)
• Any metrics that differ significantly

Edge Cases

• No runs directory: Report "No pipeline runs found. Use /run-pipeline to start one."
• Empty runs directory: Same message as above
• Corrupted pipeline_state.json: Show run with status: unknown, note the error
• Partial match ambiguity: If multiple runs match, list them and ask user to be more specific
• Legacy runs (no run directory): Note: "Found legacy working/pipeline_state.json -- not in per-run format. Use /run-pipeline to create a tracked run."