Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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Registers external services with health checks, central config, and unified execution. Use when integrating multiple external services needing coordination.
The English summary is being prepared. Showing the original description.
Run score Not tested
See how to installReview the instructions the agent will receive before you install.
A registry pattern for managing connections to external services. Handles configuration, health checking, and execution across multiple service integrations.
@dataclass
class ServiceConfig:
name: str
command: str
auth_method: str # "api_key", "oauth", "token"
auth_env_var: str
quota_limits: dict
models: list[str] = field(default_factory=list)
Verification: Run the command with --help flag to verify availability.
@dataclass
class ExecutionResult:
success: bool
stdout: str
stderr: str
exit_code: int
duration: float
tokens_used: int
Verification: Run the command with --help flag to verify availability.
from leyline.service_registry import ServiceRegistry
registry = ServiceRegistry()
registry.register(
"gemini",
ServiceConfig(
name="gemini",
command="gemini",
auth_method="api_key",
auth_env_var="GEMINI_API_KEY",
quota_limits={"rpm": 60, "daily": 1000},
),
)
Verification: Run the command with --help flag to verify availability.
result = registry.execute(
service="gemini",
prompt="Analyze this code",
files=["src/main.py"],
model="gemini-3-pro",
)
if result.success:
print(result.stdout)
Verification: Run the command with --help flag to verify availability.
# Check single service
status = registry.health_check("gemini")
# Check all services
all_status = registry.health_check_all()
for service, healthy in all_status.items():
print(f"{service}: {'OK' if healthy else 'FAILED'}")
Verification: Run the command with --help flag to verify availability.
# Select best service for task
service = registry.select_service(
requirements={"large_context": True, "fast_response": False}
)
Verification: Run the command with --help flag to verify availability.
def execute_with_failover(prompt: str, files: list) -> ExecutionResult:
for service in registry.get_healthy_services():
result = registry.execute(service, prompt, files)
if result.success:
return result
raise AllServicesFailedError()
Verification: Run the command with --help flag to verify availability.
# In your skill's frontmatter
dependencies: [leyline:service-registry]
Verification: Run the command with --help flag to verify availability.
modules/service-config.md for configuration options.modules/execution-patterns.md for advanced usage.No reviews yet. Tell others what you thought.
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
The English summary is being prepared. Showing the original description.