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robust-file-creation

Recover from file creation failures in automated tools by creating directories with shell commands and writing files individually. This workflow separates each step so project structures can be created and checked more easily.

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Fallback to run_shell and write_file when execute_code_sandbox or shell_agent fail on filesystem operations

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适用场景

  • Recovering from unknown file creation errors
  • Creating nested project directories
  • Writing multiple files individually
  • Checking generated project structures

包含的文件(2)

  • SKILL.md3.0 KB
  • .skill_id34 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Robust File Creation Strategy

When creating complex project structures, automated tools like execute_code_sandbox and shell_agent may fail with 'unknown error' on filesystem operations. This skill provides a reliable fallback strategy using explicit shell commands.

When to Use

Apply this pattern when:

  • execute_code_sandbox fails with unknown error on file/directory creation
  • shell_agent fails to complete filesystem operations after retries
  • You need to create nested directory structures with multiple files
  • Task progress is blocked by filesystem tool failures

Fallback Procedure

Step 1: Detect the Failure

When either execute_code_sandbox or shell_agent fails on filesystem operations (especially after automatic retries), immediately switch to the manual hybrid approach.

Step 2: Create Directories Explicitly

Use run_shell with mkdir -p for each required directory:

run_shell command="mkdir -p /path/to/nested/directory"

The -p flag ensures parent directories are created automatically.

Step 3: Write Files Individually

Use write_file tool for each file with explicit path and content:

write_file path="/path/to/file.py" content="..."

Do not attempt to batch multiple file creations in a single operation.

Step 4: Verify Creation (Optional)

Confirm the structure was created correctly:

run_shell command="ls -la /path/to/directory"
# or
run_shell command="tree /path/to/directory"

Complete Example Flow

[execute_code_sandbox fails on project setup]
        ↓
[run_shell mkdir -p src/components]
[run_shell mkdir -p src/utils]
[run_shell mkdir -p tests]
        ↓
[write_file path="src/main.py" content="..."]
[write_file path="src/components/widget.py" content="..."]
[write_file path="tests/test_main.py" content="..."]
        ↓
[run_shell ls -la src/  # verify]

Best Practices

  1. Create all directories first before writing any files to avoid path errors
  2. Write files one at a time rather than attempting batch operations
  3. Use absolute or clearly relative paths to avoid ambiguity
  4. Verify after creation when working on critical deliverables
  5. Document the structure in comments or SKILL.md if it's complex

Why This Works

  • run_shell executes commands directly without the abstraction layer that can fail
  • write_file is a primitive operation with fewer failure modes
  • Separating directory creation from file writing isolates potential failure points
  • Explicit commands are easier to debug when issues occur

Anti-Patterns to Avoid

❌ Don't keep retrying the same failing execute_code_sandbox command ❌ Don't attempt to create complex nested structures in a single Python script via sandbox ❌ Don't assume directories exist before writing files to them ❌ Don't skip verification on critical project scaffolding

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