recommendations-next-steps Skill
Use to produce the forward-looking recommendations and next steps for a Zava Learning incident — prioritized preventive, detective, and process actions with owners, target dates, and the risk of inaction. Its output is used in the zava-reporting deliverables. Published by microsoft in sre-agent.
What is recommendations-next-steps Skill?
Use to produce the forward-looking recommendations and next steps for a Zava Learning incident — prioritized preventive, detective, and process actions with owners, target dates, and the risk of inaction. Its output is used in the zava-reporting deliverables. Published by microsoft in sre-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Deployment use cases
Technical details
- Install or run with Copy skill directory
When to use recommendations-next-steps Skill
- Use it for deployment.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/sre-agent
- Skill file: labs/zava-learning/sre-config/agent-config/skills/recommendations-next-steps/SKILL.md
What it does
Use to produce the forward-looking recommendations and next steps for a Zava Learning incident — prioritized preventive, detective, and process actions with owners, target dates, and the risk of inaction. Its output is used in the zava-reporting deliverables.
Skill instructions
Zava Learning — Recommendations & Next Steps Turn the RCA into a concrete, accountable action plan. Retrieve zava-brand and zava-report-template with SearchMemory; follow the Recommendations section. Use SearchIncidentKnowledge for related past incidents and microsoft-learnmicrosoftdocssearch to ground recommendations in Azure best practice. Derive actions from the RCA Map each contributing factor and detection gap to an action. Classify every action: - Preventive — stops recurrence (e.g. an NSG priority guardrail in IaC, a CI check for synchronous work on the request path, an autoscale floor so an API can't reach zero replicas). - Detective — catches it sooner (a targeted alert/metric, a synthetic probe on /api/quiz/, a dashboard). - Process — runbook, ownership, review, or deployment-policy change. Present as an accountable table Columns: action · type · owner · priority (P1/P2/P3) · target date · risk if not done · status. - Priority by likelihood × impact of recurrence. - Owners ar
Explore related resources
Frequently asked questions
What is recommendations-next-steps?
recommendations-next-steps is a open-source AI agent skill with Copy skill directory. Use to produce the forward-looking recommendations and next steps for a Zava Learning incident — prioritized preventive, detective, and process actions with owners, target dates, and the risk.
Who is recommendations-next-steps best for?
recommendations-next-steps is best for reusing agent instructions, scripts, and references, deployment workflows.
How do I install recommendations-next-steps?
Install or run recommendations-next-steps using Copy skill directory. Check recommendations-next-steps for the latest setup command.
Is recommendations-next-steps actively maintained?
recommendations-next-steps may need a closer maintenance check before production use.
Auto-fetched from GitHub.
