Agent skill
llm-integration
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/llm-integration-skill
SKILL.md
LLM Integration SKILL
Provider Abstraction
from langchain_openai import ChatOpenAI
from langchain_anthropic import ChatAnthropic
llm = ChatOpenAI(model="gpt-4")
# or
llm = ChatAnthropic(model="claude-3-sonnet-20240229")
Fallback Chain
from langchain.chat_models import init_chat_model
llm = init_chat_model(
"gpt-4",
fallbacks=["claude-3-sonnet-20240229", "ollama/llama2"]
)
Streaming
for chunk in llm.stream("What is RAG?"):
print(chunk.content, end="", flush=True)
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
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