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Found 7 Skills
Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines
Evaluates and optimizes agent skills using a DSPy-powered GEPA (Generate/Evaluate/Propose/Apply) loop. Loads scenario YAML files as DSPy datasets, scores outputs with pattern-matching metrics, and optimizes prompts via BootstrapFewShot or MIPROv2 teleprompters. Also generates new scenario YAML files from skill descriptions.
Create comprehensive test scenarios from user stories with test objectives, starting conditions, user roles, step-by-step actions, and expected outcomes. Use when writing QA test cases, creating test plans, defining acceptance tests, or preparing for feature validation.
Automated BDD scenario generation from EARS requirements - generates Gherkin Given-When-Then scenarios with ADR-Ready scoring
Transform user stories and specifications into precise, verifiable Gherkin acceptance criteria using Given/When/Then syntax with Happy Path, Sad Path, and edge case scenarios. Use when asking for acceptance criteria, Gherkin scenarios, BDD criteria, test scenarios, or AC generation.
Generates multiple business scenarios (Growth/Stability/Hybrid) from financial and strategic assumptions for executive decision-making.
Generates and reviews test scenarios based on IPA non-functional grade standards. Analyzes system requirements to identify critical test viewpoints for performance, security, and availability.