mirror of
https://github.com/AvdLee/Xcode-Build-Optimization-Agent-Skill.git
synced 2026-09-14 13:59:59 +08:00
Antoine van der Lee
cc642e0b52
First versioned snapshot of the full skill repository including: - Five installable agent skills under skills/ - Shared references, schemas, and helper scripts - Plugin and marketplace metadata for Claude Code - GitHub workflows for release and README sync - Compilation caching as a recommended build setting - Four deeper Swift compiler diagnostic flags for compilation analysis - Fixed SWIFT_COMPILATION_MODE to use singlefile (actual build setting value)
62 lines
1.9 KiB
Python
Executable File
62 lines
1.9 KiB
Python
Executable File
#!/usr/bin/env python3
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import argparse
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import json
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from pathlib import Path
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FIELD_LABELS = [
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("category", "Category"),
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("observed_evidence", "Observed evidence"),
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("estimated_impact", "Estimated impact"),
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("confidence", "Confidence"),
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("approval_required", "Approval required"),
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("benchmark_verification_status", "Benchmark verification status"),
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("scope", "Scope"),
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("risk_level", "Risk level"),
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]
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def render_recommendation(item: dict, index: int) -> str:
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lines = [f"## {index}. {item.get('title', 'Untitled recommendation')}"]
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for key, label in FIELD_LABELS:
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value = item.get(key)
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if value is None:
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continue
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if isinstance(value, list):
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lines.append(f"**{label}:**")
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for entry in value:
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lines.append(f"- {entry}")
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continue
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lines.append(f"**{label}:** {value}")
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if item.get("implementation_notes"):
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lines.append("**Implementation notes:**")
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for entry in item["implementation_notes"]:
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lines.append(f"- {entry}")
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return "\n".join(lines)
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def main() -> int:
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parser = argparse.ArgumentParser(description="Render recommendation JSON as Markdown.")
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parser.add_argument("input", help="Path to a recommendation JSON file")
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parser.add_argument("--output", help="Optional output Markdown path")
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args = parser.parse_args()
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payload = json.loads(Path(args.input).read_text())
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recommendations = payload.get("recommendations", [])
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sections = ["# Xcode Build Recommendations", ""]
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for index, item in enumerate(recommendations, start=1):
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sections.append(render_recommendation(item, index))
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sections.append("")
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markdown = "\n".join(sections).rstrip() + "\n"
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if args.output:
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Path(args.output).write_text(markdown)
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else:
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print(markdown, end="")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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