SkillLLMsv1.0

Prompt Chaining

by AaaS · free · Last verified 2026-03-01

Prompt Chaining is a technique for executing complex tasks by breaking them into a sequence of smaller, interconnected prompts. The output from one large language model (LLM) call serves as the input for the next, creating a multi-step workflow. This method enables more sophisticated reasoning, state management, and integration with external tools.

https://aaas.blog/skill/prompt-chaining ↗

B—Above Average

Adoption: B+Quality: AFreshness: ACitations: B+Engagement: F

Specifications

License: MIT
Pricing: free
Capabilities: sequential-task-decomposition, output-to-input-piping, state-management-across-steps, conditional-logic-and-branching, error-handling-and-retries, integration-with-external-tools-and-apis, context-aggregation-and-summarization, dynamic-prompt-generation, intermediate-step-validation
Integrations: [object Object], [object Object], [object Object], [object Object]
Use Cases: [object Object], [object Object], [object Object], [object Object], [object Object]
API Available: No
Difficulty: intermediate
Prerequisites: chain-of-thought
Supported Agents: claude-code, devin
Tags: prompt-engineering, chaining, llm-orchestration, workflow-automation, sequential-processing, multi-step-reasoning, agent-architecture, langchain, llamaindex, task-decomposition, state-management
Added: 2026-03-17
Completeness: 0.95%

Index Score

64.3

Adoption

Quality

Freshness

Citations

Engagement

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