evals/agentic-engineering/workspace-template/plugins/deploy-auto/skills/deploy-execute/SKILL.md
This skill should be used when asked to "execute a deployment", "run the deploy plan", or "deploy services". Reads deploy-plan.md and executes each step with health checks.
npx skillsauth add entityprocess/agentv deploy-executeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Execute a deployment plan step-by-step. Reads {output_dir}/deploy-plan.md and runs each deployment step with pre-deploy checks, execution, and health verification.
Read the deployment plan and execute each step in order.
For each service:
kubectl applyExecute integration tests after deployment using pytest with the --tb=short flag for concise tracebacks.
| Setting | Default | Override |
|---------|---------|----------|
| Kubernetes context | C:\Users\admin\.kube\config | User specifies alternative path |
| Deploy timeout | 300s | --timeout flag |
| Health check retries | 3 | --retries flag |
references/health-check-patterns.md — Health check implementation patternstools
Analyze AgentV evaluation traces and result JSONL files using `agentv inspect` and `agentv compare` CLI commands. Use when asked to inspect AgentV eval results, find regressions between AgentV evaluation runs, identify failure patterns in AgentV trace data, analyze tool trajectories, or compute cost/latency/score statistics from AgentV result files. Do NOT use for benchmarking skill trigger accuracy, analyzing skill-creator eval performance, or measuring skill description quality — those tasks belong to the skill-creator skill.
development
Author, edit, and lint `governance:` blocks in `*.eval.yaml` files. Use when creating or updating evaluation suites that carry AI-governance metadata (OWASP LLM Top 10, OWASP Agentic Top 10, MITRE ATLAS, EU AI Act, ISO 42001). Also use non-interactively (e.g., from a GitHub Action) to lint changed eval files and report violations against the rules in `references/lint-rules.md`. Do NOT use for running evals or benchmarking — that belongs to agentv-bench.
development
Write, edit, review, and validate AgentV EVAL.yaml / .eval.yaml evaluation files. Use when asked to create new eval files, update or fix existing ones, add or remove test cases, configure graders (`llm-grader`, `code-grader`, `rubrics`), review whether an eval is correct or complete, convert between EVAL.yaml and evals.json using `agentv convert`, or generate eval test cases from chat transcripts (markdown conversation or JSON messages). Do NOT use for creating SKILL.md files, writing skill definitions, or running evals — running and benchmarking belongs to agentv-bench.
development
Use when reviewing eval YAML files for quality issues, linting eval files before committing, checking eval schema compliance, or when asked to "review these evals", "check eval quality", "lint eval files", or "validate eval structure". Do NOT use for writing evals (use agentv-eval-writer) or running evals (use agentv-bench).