Consolidate sprint artifacts into a structured capitalization report with patterns and lessons.
npx skills add https://github.com/tjisousa/gensem --skill compound-tjisousa
Please help me install this Agent Skill. Skill: compound Source: https://github.com/tjisousa/gensem/tree/main/gse-one/plugin/skills/compound Command: npx skills add https://github.com/tjisousa/gensem --skill compound-tjisousa
Consolidates sprint learnings and artifacts into a structured capitalization report that identifies patterns, lessons learned, and actionable improvements across three axes.
Summarize sprint learnings by running the compound workflow at sprint end to generate a capitalization report.
High-intent search queries and answers about installing and using this skill.
Sprint capitalization consolidates sprint artefacts into a report capturing patterns, lessons learned, best practices, and technical debt across three axes. Run the compound workflow at sprint end to generate a structured markdown analysis.
Sprint capitalization analyzes project learnings, methodology deviations, and competency updates at sprint end. It is needed when you want to systematically capture patterns and improvements from your sprint workspace artefacts into a structured report.
Draft tickets from sprint lessons learned are generated by optionally emitting a .gse/compound-tickets-draft.yaml file. This file contains ticket proposals for follow-up actions derived from the patterns and technical debt identified during artefact analysis.
Yes, you can analyze methodology deviations and competency updates using your sprint workspace artefacts. An isolated sub-agent with a fresh context evaluates these artefacts to identify patterns and improvements across three axes.
The best way to document technical debt and best practices confirmed is to generate a docs/sprints/sprint-{NN}/compound.md file. This structured capitalization report isolates analysis into dedicated sections for technical debt, patterns, and lessons learned.
Sprint capitalization works without external dependencies to update backlog and profile data. The workflow uses an isolated sub-agent to analyze sprint artefacts and generate capitalization reports independent of additional tools.
nicolasguelfiDiff sprint artefacts against the integration baseline and consolidate review findings.
li3pIdentify and prioritize technical debt in a codebase for remediation planning.
salamientarkAnalyze sprint velocity, health, and retrospective data for Scrum coaching.
Soul-Brews-StudioCapture retrospective notes and generate concise lessons-learned summaries via /rrr alias.
