Gather and synthesize factual context from Jira, GitHub, AWS, and Datadog into structured briefings.
npx skills add https://github.com/mslshao/claude-harness --skill enrich-mslshao
Please help me install this Agent Skill. Skill: enrich Source: https://github.com/mslshao/claude-harness/tree/main/project-tier/skills/enrich Command: npx skills add https://github.com/mslshao/claude-harness --skill enrich-mslshao
This Skill helps you quickly understand a Jira ticket, GitHub PR, or loosely defined topic by gathering scattered context into one factual briefing. It reduces the time spent jumping between issue trackers, code, cloud service state, and observability tools before analysis, meetings, or handoffs.
Ask the AI to use the enrich skill on a Jira ticket like MX2-12345, a PR like #456, or a topic such as payment retries.
High-intent search queries and answers about installing and using this skill.
To get a quick briefing on a Jira ticket or GitHub PR, you can gather and synthesize factual context into a structured summary. This process pulls structured details from issue trackers, pull requests, AWS, Datadog, and the local codebase when relevant.
You gather context for codebase orientation and ticket triage by parsing identifiers and retrieving primary-source details. The system applies bounded codebase reading and parallel AWS and Datadog lookups to produce a concise factual summary with attributed findings.
Yes, you can use context loading to understand what a GitHub PR changes before review. It retrieves primary-source details and runs bounded codebase reading to synthesize codebase references and factual findings into a structured briefing for quick analysis.
Yes, enrich works with AWS and Datadog for service investigation by running parallel lookups alongside primary-source retrieval. It gathers runtime context and cloud service state to help you load code and runtime context for an unfamiliar topic or service issue.
If AWS or Datadog systems are unavailable during context gathering, the process applies graceful handling to continue synthesizing factual context. It still produces a structured briefing with attributed findings and open questions from available primary sources like Jira and GitHub.
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