firefrost-gaming/skill-seekers-reference
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change max lenght

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This commit is contained in:
Pablo Estevez
2026-01-17 17:48:15 +00:00
parent 97e597d9db
commit c33c6f9073
118 changed files with 3546 additions and 960 deletions
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4
src/skill_seekers/cli/adaptors/__init__.py
View File

@@ -67,7 +67,9 @@ def get_adaptor(platform: str, config: dict = None) -> SkillAdaptor:
if platform not in ADAPTORS:
available = ", ".join(ADAPTORS.keys())
if not ADAPTORS:
raise ValueError(f"No adaptors are currently implemented. Platform '{platform}' is not available.")
raise ValueError(
f"No adaptors are currently implemented. Platform '{platform}' is not available."
)
raise ValueError(
f"Platform '{platform}' is not supported or not yet implemented. Available platforms: {available}"
)

38
src/skill_seekers/cli/adaptors/claude.py
View File

@@ -167,14 +167,28 @@ version: {metadata.version}
# Validate ZIP file
package_path = Path(package_path)
if not package_path.exists():
return {"success": False, "skill_id": None, "url": None, "message": f"File not found: {package_path}"}
return {
"success": False,
"skill_id": None,
"url": None,
"message": f"File not found: {package_path}",
}
if not package_path.suffix == ".zip":
return {"success": False, "skill_id": None, "url": None, "message": f"Not a ZIP file: {package_path}"}
return {
"success": False,
"skill_id": None,
"url": None,
"message": f"Not a ZIP file: {package_path}",
}
# Prepare API request
api_url = self.DEFAULT_API_ENDPOINT
headers = {"x-api-key": api_key, "anthropic-version": "2023-06-01", "anthropic-beta": "skills-2025-10-02"}
headers = {
"x-api-key": api_key,
"anthropic-version": "2023-06-01",
"anthropic-beta": "skills-2025-10-02",
}
timeout = kwargs.get("timeout", 60)
@@ -231,7 +245,12 @@ version: {metadata.version}
except:
error_msg = f"HTTP {response.status_code}"
return {"success": False, "skill_id": None, "url": None, "message": f"Upload failed: {error_msg}"}
return {
"success": False,
"skill_id": None,
"url": None,
"message": f"Upload failed: {error_msg}",
}
except requests.exceptions.Timeout:
return {
@@ -250,7 +269,12 @@ version: {metadata.version}
}
except Exception as e:
return {"success": False, "skill_id": None, "url": None, "message": f"Unexpected error: {str(e)}"}
return {
"success": False,
"skill_id": None,
"url": None,
"message": f"Unexpected error: {str(e)}",
}
def validate_api_key(self, api_key: str) -> bool:
"""
@@ -363,7 +387,9 @@ version: {metadata.version}
print(f"❌ Error calling Claude API: {e}")
return False
def _read_reference_files(self, references_dir: Path, max_chars: int = 200000) -> dict[str, str]:
def _read_reference_files(
self, references_dir: Path, max_chars: int = 200000
) -> dict[str, str]:
"""
Read reference markdown files from skill directory.

29
src/skill_seekers/cli/adaptors/gemini.py
View File

@@ -169,10 +169,20 @@ See the references directory for complete documentation with examples and best p
# Validate package file FIRST
package_path = Path(package_path)
if not package_path.exists():
return {"success": False, "skill_id": None, "url": None, "message": f"File not found: {package_path}"}
return {
"success": False,
"skill_id": None,
"url": None,
"message": f"File not found: {package_path}",
}
if not package_path.suffix == ".gz":
return {"success": False, "skill_id": None, "url": None, "message": f"Not a tar.gz file: {package_path}"}
return {
"success": False,
"skill_id": None,
"url": None,
"message": f"Not a tar.gz file: {package_path}",
}
# Check for google-generativeai library
try:
@@ -210,7 +220,9 @@ See the references directory for complete documentation with examples and best p
}
# Upload to Files API
uploaded_file = genai.upload_file(path=str(main_file), display_name=f"{package_path.stem}_instructions")
uploaded_file = genai.upload_file(
path=str(main_file), display_name=f"{package_path.stem}_instructions"
)
# Upload reference files (if any)
refs_dir = temp_path / "references"
@@ -230,7 +242,12 @@ See the references directory for complete documentation with examples and best p
}
except Exception as e:
return {"success": False, "skill_id": None, "url": None, "message": f"Upload failed: {str(e)}"}
return {
"success": False,
"skill_id": None,
"url": None,
"message": f"Upload failed: {str(e)}",
}
def validate_api_key(self, api_key: str) -> bool:
"""
@@ -337,7 +354,9 @@ See the references directory for complete documentation with examples and best p
print(f"❌ Error calling Gemini API: {e}")
return False
def _read_reference_files(self, references_dir: Path, max_chars: int = 200000) -> dict[str, str]:
def _read_reference_files(
self, references_dir: Path, max_chars: int = 200000
) -> dict[str, str]:
"""
Read reference markdown files from skill directory.

29
src/skill_seekers/cli/adaptors/openai.py
View File

@@ -185,10 +185,20 @@ Always prioritize accuracy by consulting the attached documentation files before
# Validate package file FIRST
package_path = Path(package_path)
if not package_path.exists():
return {"success": False, "skill_id": None, "url": None, "message": f"File not found: {package_path}"}
return {
"success": False,
"skill_id": None,
"url": None,
"message": f"File not found: {package_path}",
}
if not package_path.suffix == ".zip":
return {"success": False, "skill_id": None, "url": None, "message": f"Not a ZIP file: {package_path}"}
return {
"success": False,
"skill_id": None,
"url": None,
"message": f"Not a ZIP file: {package_path}",
}
# Check for openai library
try:
@@ -254,7 +264,9 @@ Always prioritize accuracy by consulting the attached documentation files before
# Attach files to vector store
if file_ids:
client.beta.vector_stores.files.create_batch(vector_store_id=vector_store.id, file_ids=file_ids)
client.beta.vector_stores.files.create_batch(
vector_store_id=vector_store.id, file_ids=file_ids
)
# Create assistant
assistant = client.beta.assistants.create(
@@ -273,7 +285,12 @@ Always prioritize accuracy by consulting the attached documentation files before
}
except Exception as e:
return {"success": False, "skill_id": None, "url": None, "message": f"Upload failed: {str(e)}"}
return {
"success": False,
"skill_id": None,
"url": None,
"message": f"Upload failed: {str(e)}",
}
def validate_api_key(self, api_key: str) -> bool:
"""
@@ -389,7 +406,9 @@ Always prioritize accuracy by consulting the attached documentation files before
print(f"❌ Error calling OpenAI API: {e}")
return False
def _read_reference_files(self, references_dir: Path, max_chars: int = 200000) -> dict[str, str]:
def _read_reference_files(
self, references_dir: Path, max_chars: int = 200000
) -> dict[str, str]:
"""
Read reference markdown files from skill directory.