test-driven-development
OBobra/superpowers298k近 7 天新增 2,631 个 star
environment-discovery
Systematic exploration of unknown environments before starting work
- Star
- 1,081
- 分类
- 浏览器与测试
- 许可证
- MIT
- 最近提交
- 2026年10月6日
pydantic_deep/bundled_skills/environment-discovery/SKILL.md
在 GitHub 上查看Environment Discovery
When dropped into an unfamiliar environment, ALWAYS explore before acting.
Step 1: Understand the workspace
ls -la /app/ # or the working directory
find . -type f | head -50
- What files exist? What are their sizes?
- Are there READMEs, Makefiles, config files?
- What languages/frameworks are involved?
Step 2: Inspect data files
Before writing any code that reads data, understand the format:
file <filename>— detect file type (binary, text, encoding)head -20 <file>— first lines of text filesxxd <file> | head -20— hex dump for binary fileswc -l <file>— line count for text filesstat <file>— exact file size in bytespython3 -c "import struct; ..."— parse binary headers
Step 3: Check available tools
which python3 gcc g++ make cmake node npm cargo rustc java go
pip list 2>/dev/null | head -20
- What compilers/interpreters are installed?
- What libraries are available?
- What package managers can you use?
Step 4: Read existing code
If there are existing source files:
- Read them FULLY before modifying
- Understand the build system (Makefile, CMakeLists.txt, pyproject.toml)
- Check for existing tests
Key Principles
- NEVER assume file formats — always inspect first
- NEVER assume tools are installed — always check
- A 500MB file is NOT a "small file" — plan for it
- Binary files need byte-level inspection, not
cat - Spend 30 seconds exploring to save 5 minutes debugging
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