# qikly

> qikly — gal-a-qikly. Use this tool when you need to automate test suite generation and code convergence based on acceptance criteria. It solves problems of manual testing and ensures code quality by generating tests and validating code against them without exposing the acceptance criteria. Ideal for Git-based projects, qikly takes acceptance criteria as input and outputs converged code that meets the specified requirements.

Canonical page: https://skillsregistry.net/skills/gal-a-qikly  
JSON: https://api.skillsregistry.net/v1/skills/gal-a-qikly

## Description

Generates a test suite from acceptance criteria, then converges code against it with an agent that never sees those criteria.

## Trust

- **Trust score (0–1):** 0.29
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gal-a/qikly)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gal-a-qikly"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gal-a-qikly` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gal-a-qikly/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt