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SyntaxCleaner
Enforce PEP8, fix mixed indentation, and balance brackets in Python code before it leaves the agent.
Free
SyntaxCleaner
Example session with this skill installed
Clean up this nested loop in processor.py. It has mixed tabs and spaces and some lines are too long.
- Read your context and instructions
- Compiled the syntaxcleaner
🔍 SYNTAX CHECK PASSED. FOUR-SPACE INDENTATION. BRACKETS BALANCED.
I have refactored processor.py to resolve the mixed indentation issues and enforced PEP8 line length limits.
Refactored Code
def process_telemetry_data(clusters: list) -> None:
"""
Parses and logs active telemetry records while maintaining
strict four-space indentation.
"""
for cluster in clusters:
# Fixed mixed tabs/spaces and long line length
if cluster.get("status") == "active" and cluster.get("priority") > 5:
for record in cluster.get("records", []):
if not record.is_processed:
logger.info(
f"Processing record {record.id} for cluster {cluster.id}"
)
record.mark_as_complete()
Next steps
- Run your local test suite to verify logical integrity.
- Check if you want to apply this 4-space standard to the remaining utility files.
- Verify if
loggeris correctly initialized in your global scope.
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About this skill
LLMs often generate Python code that breaks builds due to mixed tabs and spaces, unbalanced brackets, or messy indentation. SyntaxCleaner acts as a pre-delivery validator to ensure every code block is syntactically sound and PEP8 compliant.
What it does
- Indentation enforcement ensures four-space indentation and prevents tab and space mixing in a single block.
- Bracket validation scans for unbalanced parentheses, brackets, and string delimiters before the code reaches the editor.
- Style matching detects the existing file's indentation pattern to maintain consistency instead of forcing silent conversions.
- Logical truncation prevents mid-expression cuts by stopping generation at functional boundaries when token limits are reached.
- PEP8 alignment maintains line lengths under 88 characters and integrates type hints based on surrounding context.
How it works
- Inspection starts by analyzing the target file to determine if it uses tabs or spaces to prevent style collisions.
- Generation applies strict formatting rules including 4-space levels and bracket balancing during the drafting phase.
- Self-Correction runs a final scan for syntax errors and silently fixes indentation or unclosed strings before outputting.
- Boundary Management monitors the token budget to stop at a clean class or function end rather than leaving naked assignments.
Frameworks & tools
This skill is designed for Python development environments. It follows Black and PEP8 standards and works across any IDE or agent interface supporting Python refactoring.
Why this beats prompting it yourself
Manual prompting often fails to prevent silent indentation errors or unclosed brackets in long generations. This skill embeds a recursive self-correction loop that fixes broken syntax before you ever see it, saving you from repetitive "fix the indentation" follow-up prompts.
Use cases
- Refactoring deeply nested async loops that tend to lose alignment during generation.
- Cleaning up legacy codebases that have accumulated mixed tab/space indentation.
- Ensuring code generated near token limits remains functional and complete.
- Enforcing type hinting and PEP8 standards across a distributed team.
Known limitations
Does not apply formatting to non-code content like Markdown or documentation. Requires user confirmation before converting an entire file from tabs to spaces.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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