Compute pipeline timing metrics from YAML frontmatter and Git/PR data.
npx skills add https://github.com/dpaola2/pipeline-skills --skill metrics-dpaola2
Please help me install this Agent Skill. Skill: metrics Source: https://github.com/dpaola2/pipeline-skills/tree/main/.claude/skills/metrics Command: npx skills add https://github.com/dpaola2/pipeline-skills --skill metrics-dpaola2
This Skill automates the computation and reporting of pipeline timing metrics, providing insights into project duration, human review time, and agent efficiency.
Use the metrics skill to compute and display pipeline timing metrics for the work item 'SN-3'.
High-intent search queries and answers about installing and using this skill.
To compute pipeline timing metrics, this Skill parses YAML frontmatter from WCP artifacts and enriches it with Git and GitHub CLI data to calculate stage durations, human review times, and overall lead time for a given project callsign.
Analyzing agent efficiency involves parsing artifact frontmatter to extract stage durations and wait times, then enriching that data with Git and PR information to calculate the overall lead time from PRD to merged PR.
Yes, you need access to Git, the GitHub CLI, and WCP artifacts to retrieve the data required for calculating lead time, as the Skill enriches YAML frontmatter with Git and PR data to generate the report.
Yes, pipeline performance analytics can identify bottlenecks by generating a detailed report of stage durations, wait times, and human review times, highlighting where delays occurred during the development cycle.
You can report on pipeline wait times and stage durations by running the metrics analysis on a specific project callsign, which automatically gathers and parses YAML frontmatter to generate a comprehensive timing report.
The metrics reporting relies on accurately parsing YAML frontmatter from WCP artifacts and requires proper Git and GitHub CLI access; without these dependencies, the Skill cannot retrieve the data needed to calculate timing metrics.
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