Yitang OSCAR Research
Use this skill to turn loose research requests into decision-support work with explicit scope, owners, acquisition paths, and conclusions.
Core Rules
- Research exists to support a decision, not to collect information.
- Write the decision question before gathering material.
- Narrow scope aggressively; refuse “everything about this industry”.
- Require a named owner and a conclusion format for every research task.
- End with
该做 / 怎么做 / 不该做什么, not an information dump.
OSCAR Workflow
1. Objective
- State the decision that the research must support.
- Make the question concrete enough to be answered with evidence.
2. Scope
- Define what to include and what to exclude.
- Cut future possibilities, adjacent topics, and nice-to-have research.
3. Checklist
- List the exact objects, people, products, datasets, or documents to inspect.
- Prefer a finite list over generic “do some market research”.
4. Acquisition
- Specify how the information will be obtained: documents, interviews, tests, field checks, trials.
- Choose channels proportional to the importance of the decision.
5. Reasoning
- Synthesize findings back to the original decision.
- Write conclusion, next action, and explicit non-actions.
Default Output
Unless the user asks for another format, output these sections:
调研目标调研范围调研对象清单信息获取路径主责 / 协同 / 截止时间结论需要回答的问题不做清单
Research Management Rules
- Do not run more research tracks in parallel than the project can absorb.
- Force each track to report against its objective, not against effort spent.
- Use short daily updates and a midweek calibration when multiple people are involved.
References
- Read references/framework.md for the full OSCAR method, templates, and anti-patterns.
- Read references/templates.md when the user wants a ready-to-fill research brief, task assignment sheet, interview guide, or conclusion summary.
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