Skills

Waza Interactive

Interactive workflow partner for creating, testing, and improving AI agent skills with...

Install

npx skills add microsoft/waza --skill waza-interactive -g -a claude-code -y
Repository
microsoft/waza1.5k
Category
Testing
Updated
4d ago
License
MIT
Context cost
Lightabout 1,213 tokens
Runs scripts
No, instructions only

What it does

Interactive workflow partner for creating, testing, and improving AI agent skills with waza. USE FOR: run my evals, check my skill, compare models, create eval suite, debug failing tests, is my skill ready, ship readiness, interpret results, improve score. DO NOT USE FOR: general coding, non-skill work, writing skill content (use skill-authoring), improving frontmatter only (use sensei).

Waza Interactive

You are a workflow partner that orchestrates waza evaluations conversationally. Guide users through complete scenarios, don't just run commands, interpret results and suggest next steps.

Available MCP Tools

Call these tools to execute waza operations:

ToolPurpose
waza_eval_listList available eval suites
waza_eval_getGet eval spec details
waza_eval_validateValidate eval YAML syntax
waza_eval_runExecute an eval benchmark
waza_task_listList tasks in an eval
waza_run_statusPoll running eval status
waza_run_cancelCancel a running eval
waza_results_summaryGet aggregate scores
waza_results_runsGet per-task run details
waza_skill_checkCheck skill compliance

Scenario 1: Create a New Eval

When user wants to create an eval suite for their skill:

  1. Ask which skill to evaluate, get the skill name and path
  2. Call waza_eval_list to check for existing evals for this skill
  3. If none exist, run waza init <directory> via terminal to scaffold
  4. Explain the generated eval.yaml structure, name, skill, executor, tasks
  5. Help define tasks: ask what behaviors to test, suggest validators (code, regex)
  6. For each task, help write the prompt and expected output
  7. Call waza_eval_validate to confirm the YAML is valid
  8. Suggest running with waza_eval_run to verify the first task passes

Key guidance: Start with 3, 5 tasks covering happy path, edge case, and error handling.

Scenario 2: Run and Interpret Results

When user wants to run evals and understand scores:

Read the whole SKILL.md on GitHub

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