# Design Bibliography and Influences

This file is for explaining or adapting the skill design. It is not required for every research run.

## Academic and research-agent patterns

- **ReAct: Synergizing Reasoning and Acting in Language Models**. Pattern borrowed: alternate reasoning, retrieval/action, and observation so the agent updates the plan as evidence arrives.
  - https://react-lm.github.io/
  - https://arxiv.org/abs/2210.03629

- **Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions (IRCoT)**. Pattern borrowed: one-shot retrieval is insufficient for multi-step questions; retrieval should depend on what has already been derived.
  - https://arxiv.org/abs/2212.10509
  - https://github.com/stonybrooknlp/ircot

- **Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection**. Pattern borrowed: retrieve adaptively and critique whether retrieved evidence supports the generation.
  - https://arxiv.org/abs/2310.11511

- **FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation**. Pattern borrowed: fast-changing knowledge and false-premise questions require fresh search evidence and concise factual answers.
  - https://aclanthology.org/2024.findings-acl.813/
  - https://github.com/freshllms/freshqa

- **STORM: Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models**. Pattern borrowed: focus on the pre-writing research stage, question asking, breadth, outline construction, and grounded long-form synthesis.
  - https://storm-project.stanford.edu/research/storm/

- **Microsoft GraphRAG**. Pattern borrowed: preserve source relationships and graph structure when simple flat retrieval misses cross-document connections.
  - https://www.microsoft.com/en-us/research/project/graphrag/
  - https://github.com/microsoft/graphrag

## Open-source deep research projects and skills

- **GPT Researcher**. Pattern borrowed: planner/executor/publisher style separation, autonomous source gathering, and cited reports.
  - https://gptr.dev/
  - https://github.com/assafelovic/gpt-researcher

- **LangChain open_deep_research**. Pattern borrowed: configurable research agent that can work across model providers, search tools, and MCP servers.
  - https://github.com/langchain-ai/open_deep_research

- **nickscamara/open-deep-research**. Pattern borrowed: web-scale extraction plus reasoning model for open deep research.
  - https://github.com/nickscamara/open-deep-research

- **AgentSkills marketplace deep-research examples**. Pattern borrowed: trigger only for multi-source research, not simple lookups; require synthesis, verification, and citation tracking.
  - https://agentskills.so/

- **Skill Researcher / Docs Researcher examples**. Pattern borrowed: systematic technical research across official docs, GitHub, MCP directories, and project-specific knowledge bases.
  - https://mcpmarket.com/

## OpenClaw skill format

- **OpenClaw Skills documentation**. Pattern borrowed: AgentSkills-compatible folder layout with `SKILL.md`, local/workspace skill locations, and security cautions for third-party skills.
  - https://docs.openclaw.ai/tools/skills
  - https://github.com/openclaw/openclaw/blob/main/docs/tools/skills.md