메뉴
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use when aggregating local files, directories, GitHub repositories/issues/PRs, documentation pages, PDFs, arXiv/DOI/PMID sources, YouTube transcripts, stdin, or clipboard text into a single LLM-ready XML context file using the locally installed jimmc414/onefilellm CLI. Use for context packaging, source bundling, repo-to-text conversion, and multi-source research ingestion.
Configure and audit the local universal AI skills setup across Codex, ChatGPT, Claude, Claude Code, Claude Cowork, Cursor, Gemini, OpenCode, OpenSkills, Hermes Agent, OpenClaw, Cline, Continue, GitHub Copilot, Kiro, OpenHands, hosted provider compatibility surfaces, plugin manifests, optional MCP bridges, and global instruction files. Use when the user asks to organize, consolidate, optimize, rename, or repair the cross-AI skill router configuration.
MUST read when a task needs persistent services, Docker, fixed IPs, background jobs, heavy compute, reusable environments, or always-on infrastructure beyond the current AI sandbox. Covers local desktop, managed cloud computer, and third-party cloud options, including hosted provider compatibility where relevant.
Hosted project-UI compatibility adapter for deploying skills through a provider gRPC-web API. Packages skills as zips, uploads/deletes/syncs per-project skill sets, and curates domain-relevant skills using LLM analysis. Use only when filesystem skills must be visible in a hosted project UI sidebar or synchronized across hosted projects.
Universal hosted-provider API adapter guide. Use the skill-router provider-api CLI for compatible project/task/file/webhook/agent APIs, with explicit endpoint and key configuration instead of provider-specific defaults.
Generate high-density infographics with structured layout and style choices and bundled generation tooling. Use when the user asks to create an infographic, a visual summary, or a dense single-page information graphic.
| name | python-testing-patterns |
| description | Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices. |
Pinned test fixture stub.
