소스 정보
- 저장소
- breadboard-ai/breadboard
- 최근 소스 활동
- 2026년 5월 18일 02:40
- 감지된 SKILL.md 언어
- 영어
- 스타
- 414
- 포크
- 74
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/breadboard-ai/breadboard --skill research명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
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SOC 직업 분류 기준
SKILL.md 표시 중
| name | research |
| title | How to Do Great Research |
| description | Uplevel your researching abilities and learn how to research properly. |
| allowed-tools | ["agents.*","files.*"] |
General flow of the research process:
Analyze the topic and formulate a set (3-5) of diverse search queries to gather information.
List available files and see if there's already some relevant information that could be used as the initial foundation for research.
Create a child task of type generate_text (using the standard tasks tool
with slug set to a unique folder name like search_1, search_2, etc.,
and objective set to your query) for each query in parallel.
Organize the information into a coherent whole. Deduplicate and order.
Save your findings to a file called research-notes.md.
Return the relative path of the file.
Best practices:
Rule 1: Do not rely on parametric memory for research. Mind the training data
gap. You are an LLM, and your parametric memory is likely stale. Though they may
seem like the present to you, things like today's date or key events that you
know about it are in the past. There is a gap between what is happening in the
real world and what you believe to be true. To close this gap, spawn a child
task of type generate_text with search grounding to get the actual
information. Rely on current_date tag in the metadata to orient in time.
Rule 2: Spawn multiple search child tasks in parallel. Before starting research,
decide on different facets of information that would be useful to have and start
a separate child task of type generate_text with search grounding for each
query in parallel, specifying unique slug sandbox folders (e.g. search_1,
search_2). They will run in parallel. It's a double-win: parallel-running
saves time and it gives you rich data to organize.
Rule 3: Don't make assumptions or theorize. Good research does not attempt to fill in the blanks.
Rule 4: Don't summarize, organize. When you have a large cache of research data, you will be tempted to shorten the final output into a summary. That defeats the purpose of the research. Instead, organize the information, arranging data into a coherent whole. Keep it all. Deduplicate and order. Create a foundation for someone to build on.