Speckit Checklist

Azure/agentops/.github/skills/speckit-checklist

Azure· v1.0.0

creativityOfficial

Official Provider SkillView repo

Generate a custom checklist for the current feature based on user requirements.

Files1 files

SKILL.md374 lines

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Install

Recommended

One command — your agent picks it up automatically.

Select AI agent

Select an AI agent above to see the install command.

or

Manual Install

More steps

Download the file and paste it into your agent's system prompt.

Skill details

Versionv1.0.0

AuthorAzure

Categorycreativity

Skill IDAzure/agentops/.github/skills/speckit-checklist

Related skills

Agentops AgentAgentOps Doctor - surface release-readiness findings, regressions, latency spikes, error rates, and safety hits across AgentOps eval history, Azure Monitor traces, and Foundry control plane.Agentops AgentAgentOps Doctor - surface release-readiness findings, regressions, latency spikes, error rates, and safety hits across AgentOps eval history, Azure Monitor traces, and Foundry control plane.Agentops ConfigGenerate or update agentops.yaml (flat 1.0 schema) for AgentOps release-readiness gates. Trigger on "configure agentops", "agentops.yaml", "set up evaluation", "what should I evaluate". Infer the agent target and dataset from the codebase; ask only when nothing can be found.Agentops ConfigGenerate or update agentops.yaml (flat 1.0 schema) for AgentOps release-readiness gates. Trigger on "configure agentops", "agentops.yaml", "set up evaluation", "what should I evaluate". Infer the agent target and dataset from the codebase; ask only when nothing can be found.Agentops DatasetCreate or extend a small JSONL dataset for AgentOps release-readiness gates. Trigger on "create dataset", "generate test data", "JSONL", "more eval rows". Infer the agent's domain from the codebase and produce realistic rows; never fabricate data when the domain is unclear.Agentops DatasetCreate or extend a small JSONL dataset for AgentOps release-readiness gates. Trigger on "create dataset", "generate test data", "JSONL", "more eval rows". Infer the agent's domain from the codebase and produce realistic rows; never fabricate data when the domain is unclear.