Agent Skills: /finops:workflows

Analyze workflow runs - frequency, duration, success rates, and efficiency

UncategorizedID: laurigates/claude-plugins/finops-workflows

Install this agent skill to your local

pnpm dlx add-skill https://github.com/laurigates/claude-plugins/tree/HEAD/finops-plugin/skills/finops-workflows

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finops-plugin/skills/finops-workflows/SKILL.md

Skill Metadata

Name
finops-workflows
Description
Analyze workflow runs - frequency, duration, success rates, and efficiency

/finops:workflows

Analyze GitHub Actions workflow runs for a repository - frequency, duration, success rates, and efficiency metrics.

Context

  • Current repo URL: !git remote get-url origin

Parameters

| Parameter | Description | Default | |-----------|-------------|---------| | repo | Repository in owner/name format | Current repository | | --created | Date range filter (e.g., >=2026-03-01) | None (last 100 runs) | | org <name> | Org-wide analysis (use instead of repo) | - |

Execution

Per-repo analysis (default)

bash "${SKILL_DIR}/scripts/workflow-runs.sh" $ARGS

Org-wide analysis

When the user requests org-wide analysis, use the org script:

bash "${SKILL_DIR}/scripts/workflow-runs-org.sh" $ARGS

Output Format

Analyzing workflows for: org/repo

=== Active Workflows ===
  CI (id: 12345)
  Deploy (id: 12346)
  CodeQL (id: 12347)

=== Run Summary ===
CI:
  Total: 156 | Success: 140 | Failure: 10 | Cancelled: 4 | Skipped: 2
  Success rate: 89%
Deploy:
  Total: 45 | Success: 44 | Failure: 1 | Cancelled: 0 | Skipped: 0
  Success rate: 97%

=== Duration Analysis ===
CI:
  Runs: 50 | Avg: 4m32s | Max: 12m15s | Total: 226min
Deploy:
  Runs: 20 | Avg: 2m10s | Max: 3m45s | Total: 43min

=== Trigger Types ===
  push: 89 runs
  pull_request: 67 runs
  schedule: 30 runs
  workflow_dispatch: 5 runs

=== Recent Failures (last 10) ===
  #234 CI - 2025-01-28 - https://github.com/org/repo/actions/runs/...
  #231 CI - 2025-01-27 - https://github.com/org/repo/actions/runs/...

=== High Frequency Workflows ===
  CI: 156 runs (~5.2/day) - consider path filters

Post-actions

Based on findings, suggest:

  • High failure rate -> Investigate recent failures, check logs with gh run view --log-failed
  • High frequency -> Review trigger conditions, add path filters
  • Long durations -> Review caching, parallelization, step optimization
  • Many skipped -> Run /finops:waste for detailed analysis