Casely
casely.digital
What it is
Casely turns software requirements into QA test cases through a conversation with Claude. It accepts PDF, DOCX, XLSX, TXT, and Markdown files, as well as pasted text. Before writing cases, Casely proposes coverage by module, estimates case counts, flags specification gaps, and waits for approval. Its test design uses equivalence partitioning, boundary value analysis, decision tables, state transitions, and error guessing. The tool can follow the columns, order, tone, and ID scheme of an existing test-case file. Exports include one Excel file and a Markdown file for each case; the Excel output is described as importable into TestRail, Qase, Zephyr, and Xray. When requirements identify API endpoints, it can create a Postman collection with an environment file and run instructions, without embedding credentials. Casely runs with Claude Code, claude.ai, and the Claude desktop app. A browser version with uploads and team review is in early access. The QA skill is free, open source, and MIT-licensed.
Spec sheet
- Purpose
- Casely turns software requirements into QA test cases and exports them in a TestRail-ready Excel file.Read 3 Oct 2026 · casely.digital
- Intended users
- Casely says it is made for QA engineers and the leads who review their work.Read 2 Oct 2026 · casely.digital
- Integrations
- The Excel output is described as importable into TestRail, Qase, Zephyr, and Xray, and API collections can run in Postman or Newman.Read 3 Oct 2026 · casely.digital
- Security
- The docs say generated API collections exclude credentials and use environment variables for secrets such as tokens.Read 3 Oct 2026 · casely.digital
- License
- The QA skill is described as free and open source under the MIT license.Read 2 Oct 2026 · casely.digital
- API limit
- Casely only generates a Postman collection when the requirements identify API endpoints; otherwise it asks for API documentation rather than guessing endpoints.Read 3 Oct 2026 · casely.digital
- API testing
- When requirements specify API endpoints, Casely can export API cases as a Postman collection with an environment file and run instructions.Read 2 Oct 2026 · casely.digital
- Availability
- The open-source skill runs with Claude Code, claude.ai, and the Claude desktop app; a browser version with file uploads and team review is described as early access.Read 3 Oct 2026 · casely.digital
- Claude availability
- The skill can be installed for Claude Code and uploaded to claude.ai or the Claude desktop app.Read 2 Oct 2026 · casely.digital
- Cost and license
- The QA skill is described as free and open source under the MIT license.Read 3 Oct 2026 · casely.digital
- Exports
- It exports one Excel workbook and a Markdown file per case; API cases can also be exported as a Postman collection with an environment file and run instructions.Read 3 Oct 2026 · casely.digital
- Hosted version
- A browser version with file uploads and team review is described as being in early access.Read 2 Oct 2026 · casely.digital
- Input limitation
- The repository README says image-only scanned PDFs without selectable text may not extract cleanly.Read 3 Oct 2026 · github.com
- Inputs
- It accepts PDF, DOCX, XLSX, TXT, and Markdown files, or pasted text.Read 3 Oct 2026 · casely.digital
- Review step
- Casely proposes test coverage and flags spec gaps, then waits for approval before writing test cases.Read 3 Oct 2026 · casely.digital
- Team format
- It can copy the columns, their order, tone, and ID scheme from an existing test-case file.Read 3 Oct 2026 · casely.digital
- Test design
- It generates cases using equivalence partitioning, boundary value analysis, decision tables, state transitions, and error guessing.Read 3 Oct 2026 · casely.digital
- Test planning
- Casely proposes coverage by module, estimates case counts, identifies spec gaps, and waits for approval before generating cases.Read 2 Oct 2026 · casely.digital
Strong points and limits
Strong points
- Accepts five document formats plus pasted text
- Proposes coverage and flags specification gaps
- Uses multiple established test-design methods
- Exports Excel and per-case Markdown
- Free and MIT-licensed open source
Limits
- Image-only scanned PDFs may not extract cleanly
- API cases require identified endpoints
- Browser version is in early access
Who it suits
Casely suits QA engineers and leads reviewing their work who start with written requirements. It also fits teams using Claude and needing structured case exports or API cases when endpoints are documented.
Verdict
Casely focuses on turning supplied requirements into reviewable, structured test cases. Its approval step, format matching, exports, and documented API constraint make its workflow explicit.
Where Specifiction places it
- AI Test Case Generators#21 of 217.5