Search Results for "test-generation" | AgentCC

mthds-inputs

Prepare inputs for MTHDS methods. Use when user says "prepare inputs", "create inputs", "use my files", "generate test data", "template", "synthesize inputs", "mock inputs", "I have a PDF/image/document to use", "make sample data", or wants to create inputs.json for running a .mthds pipeline. Handles user-provided files, synthetic data generation, placeholder templates, and mixed approaches. Defaults to automatic mode.

nx-generators

Create Nx generators for TypeScript monorepos with deterministic Tree API usage, schema-driven options, template file generation, project-graph-safe updates, and testable workflows; use when scaffolding code, enforcing conventions, or building reusable plugin automation in Nx workspaces.

pypict-skill

Pairwise test generation

hypogenic

Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.

ux-researcher-designer

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.

supabase-reset-test-gen-loop

Iteratively run a local Supabase reset, database tests, and type generation until they succeed, fixing issues between runs. Use when asked to reset the local Supabase DB, run `supabase test db`, and regenerate types (`npm run gen-types`) in a loop.

Windsurf Test Generation

Generate comprehensive test suites using Cascade. Activate when users mention "generate tests", "test coverage", "write unit tests", "create test suite", or "tdd assistance". Handles AI-powered test generation. Use when writing or running tests. Trigger with phrases like "windsurf test generation", "windsurf generation", "windsurf".

ux-researcher-designer

robertbstillwell

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.

Speckit Implement (speckit-implement)

Execute all tasks from the task breakdown to build the feature. Use after task generation to systematically implement the planned solution following a test-driven development (TDD) approach where applicable.

test-generation

Water-Framework

Triggers when user asks to generate, complete, or improve tests for Water Framework modules. Enforces 80% code coverage and SonarQube compliance.

Smart Contract Auditor v2.0

Comprehensive smart contract security auditing skill. Covers static analysis tooling (Slither, Mythril, Aderyn), fuzz testing (Foundry, Echidna), vulnerability detection with Solidity code examples, proxy/upgrade safety, DeFi-specific audit patterns, gas optimization, and structured audit report generation.

openai-image-generation

anand-testcompare

Generate or edit images with OpenAI's Images API without Python. Use when the user asks to create, generate, modify, or inpaint images and wants a CLI workflow runnable with `sh` or `bun` from any directory via an absolute script path.

scientific-brainstorming

Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.

pypict-skill

Pairwise test generation

app-spec-generator

Generate high-quality app_spec.md files for the autonomous coding agent harness. Use this skill when creating project specifications for automated development, or when the user mentions "app spec", "project spec", "harness spec", or wants to use the autonomous coding agent to build something. Supports all project types (web-app, server, cli, library). Produces structured Markdown specs optimized for feature_list.json generation (200+ test cases), init.sh creation, and appropriate verification strategy.