firefrost-gaming/skill-seekers-reference
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feat: Add --enhance-level for granular AI enhancement control

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Levels:
- 0 (off): No AI enhancement (default)
- 1 (minimal): SKILL.md enhancement only (fast, high value)
- 2 (standard): SKILL.md + Architecture + Config enhancement
- 3 (full): Everything including patterns and test examples

--comprehensive and --enhance-level are INDEPENDENT:
- --comprehensive: Controls depth and features (full depth + all features)
- --enhance-level: Controls AI enhancement level

Usage examples:
  skill-seekers analyze --directory . --enhance-level 1  # SKILL.md AI only
  skill-seekers analyze --directory . --enhance          # Same as level 1
  skill-seekers analyze --directory . --comprehensive    # All features, no AI
  skill-seekers analyze --directory . --comprehensive --enhance-level 2  # All features + standard AI

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
YusufKaraaslanSpyke
2026-01-30 14:28:37 +03:00
parent b8b5e9d6ef
commit d7aa34a3af
2 changed files with 67 additions and 24 deletions
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39
src/skill_seekers/cli/main.py
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@@ -300,7 +300,14 @@ For more information: https://github.com/yusufkaraaslan/Skill_Seekers
)
analyze_parser.add_argument("--file-patterns", help="Comma-separated file patterns")
analyze_parser.add_argument(
"--enhance", action="store_true", help="Enable AI enhancement (auto-detects API or LOCAL)"
"--enhance", action="store_true", help="Enable AI enhancement (default level 1 = SKILL.md only)"
)
analyze_parser.add_argument(
"--enhance-level",
type=int,
choices=[0, 1, 2, 3],
default=None,
help="AI enhancement level: 0=off, 1=SKILL.md only (default), 2=+Architecture+Config, 3=full"
)
analyze_parser.add_argument("--skip-api-reference", action="store_true", help="Skip API docs")
analyze_parser.add_argument("--skip-dependency-graph", action="store_true", help="Skip dep graph")
@@ -548,9 +555,9 @@ def main(argv: list[str] | None = None) -> int:
if args.output:
sys.argv.extend(["--output", args.output])
# Handle preset flags (new)
# Handle preset flags (depth and features)
if args.quick:
# Quick = surface depth + skip advanced features
# Quick = surface depth + skip advanced features + no AI
sys.argv.extend([
"--depth", "surface",
"--skip-patterns",
@@ -559,17 +566,29 @@ def main(argv: list[str] | None = None) -> int:
"--skip-config-patterns",
])
elif args.comprehensive:
# Comprehensive = full depth + all features + AI
sys.argv.extend(["--depth", "full", "--ai-mode", "auto"])
# Comprehensive = full depth + all features (AI level is separate)
sys.argv.extend(["--depth", "full"])
elif args.depth:
sys.argv.extend(["--depth", args.depth])
# Determine enhance_level (independent of --comprehensive)
# Priority: explicit --enhance-level > --enhance (level 1) > --quick (level 0) > 0
if args.enhance_level is not None:
enhance_level = args.enhance_level
elif args.quick:
enhance_level = 0 # Quick mode disables AI
elif args.enhance:
enhance_level = 1 # --enhance defaults to level 1
else:
enhance_level = 0 # Default: no AI
# Pass enhance_level to codebase_scraper
sys.argv.extend(["--enhance-level", str(enhance_level)])
if args.languages:
sys.argv.extend(["--languages", args.languages])
if args.file_patterns:
sys.argv.extend(["--file-patterns", args.file_patterns])
if args.enhance:
sys.argv.extend(["--ai-mode", "auto"])
# Pass through skip flags
if args.skip_api_reference:
@@ -591,14 +610,14 @@ def main(argv: list[str] | None = None) -> int:
result = analyze_main() or 0
# If --enhance or --comprehensive was used, also enhance the SKILL.md
if result == 0 and (args.enhance or args.comprehensive):
# Enhance SKILL.md if enhance_level >= 1
if result == 0 and enhance_level >= 1:
skill_dir = Path(args.output)
skill_md = skill_dir / "SKILL.md"
if skill_md.exists():
print("\n" + "=" * 60)
print("ENHANCING SKILL.MD WITH AI")
print(f"ENHANCING SKILL.MD WITH AI (Level {enhance_level})")
print("=" * 60 + "\n")
try: