Speckit Constitution
Azure/agentops/.github/skills/speckit-constitutioncreativityOfficial
Official Provider SkillView repo
Create or update the project constitution from interactive or provided principle inputs.
Files1 files
SKILL.md178 lines
Loading editor…
Install
RecommendedOne command — your agent picks it up automatically.
Select an AI agent above to see the install command.
or
Manual Install
More stepsDownload the file and paste it into your agent's system prompt.
Skill details
Versionv1.0.0
AuthorAzure
Categorycreativity
Skill IDAzure/agentops/.github/skills/speckit-constitution
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.