research-project-planner
Transforms vague research ideas into actionable project routes, hypotheses, and evidence packages.
Install
mkdir -p .claude/skills/research-project-planner && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/17298" && unzip -o skill.zip -d .claude/skills/research-project-planner && rm skill.zipInstalls to .claude/skills/research-project-planner
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
用于生物信息学或计算生物学项目启动前，将模糊研究方向转成可执行研究路线：澄清 central question、knowledge gap、hypothesis、evidence package、figure skeleton、技术路线、风险和 stop/pivot criteria。不用于已明确的代码执行、单篇论文阅读或单纯文本润色。Key capabilities
- →Clarify central research questions
- →Define knowledge gaps in a research area
- →Formulate testable hypotheses and expected claims
- →Design evidence packages for research projects
- →Outline technical routes for data analysis and tool selection
- →Generate Project Charter level artifacts
How it works
The skill transforms vague research directions into executable plans by systematically clarifying the central question, identifying knowledge gaps, formulating hypotheses, and outlining the technical and evidence-based approach.
Inputs & outputs
When to use research-project-planner
- →Launching computational biology projects
- →Defining hypothesis and evidence paths
- →Setting go/no-go criteria
About this skill
Research Project Planner
核心问题
如何把模糊研究方向变成 central question、evidence package、figure skeleton 和可执行路线？
使用场景
当用户还没有进入具体分析，而是需要把一个研究方向变成可执行项目时使用本 skill。它的目标是先规划路线，不是直接写代码、画图或写论文。
不适合触发
- 用户已经给出明确脚本/表格处理任务时，使用
bioinfo-analysis-code。 - 用户指定阅读单篇论文时，使用
paper-reader。 - 用户只需要把零散想法压缩成短 brief 时，优先使用
research-question-brief。 - 用户只要求润色、翻译或改写文本时，使用对应写作 skill。
核心原则
- 从科学问题开始，不从“我会什么分析”开始。
- 先找知识缺口，再设计证据链。
- 把用户的方向压缩成可检验假设、预期主张和 figure skeleton。
- 用重要性、新颖性、可行性、证据路径、风险和产出形态评估方向，而不是凭直觉开题。
- 用
Known / Unknown / Question / Finding / Advance五句话检查故事是否能收敛。 - 区分
exploration、confirmation、validation，避免探索结果直接变成强结论。 - 只读取用户指定材料和必要 skill，不默认读取长项目记录。
工作流程
- 明确 central question：这个项目到底要回答什么生物学或计算问题。
- 梳理 background / known：领域已知什么，哪些结论较稳。
- 定义 knowledge gap：机制不清、因果不清、数据缺失、跨队列不一致、方法不足或解释框架不足。
- 写 hypothesis / expected claim：项目成功后最核心的一句话。
- 设计 evidence package：需要哪些数据、对照、统计、验证和替代解释排除。
- 画 figure skeleton：每张主图回答什么问题。
- 给出 technical route：数据来源、分析模块、工具选择、验证路线和风险节点。
- 生成 Project Charter 级别的 artifacts：minimum viable analysis、risk register、go/no-go criteria、下一阶段 evidence map questions。
- 明确哪些任务属于 Hermes 科学编排，哪些可以形成 bounded Codex task contract。对于用户明确采用 Hermes/Codex 分工的生信项目，Hermes 应先定义问题、证据边界、目录/报告主线和验收标准，再把大范围代码实现、批量重构、索引生成或路径更新交给 Codex；不要把 Hermes 当作 Codex 的替代直接吞下所有工程工作。
- 给出 stop / pivot criteria：什么结果继续，什么结果转向，什么结果停止。
- 建议如何把输出压缩进
PROJECT_GUIDE.md，而不是写成长记录。
必要输出
优先输出精简 project brief：
Central questionKnown / backgroundKnowledge gapHypothesisExpected claimTopic scorecardKnown / Unknown / Question / Finding / AdvanceEvidence packageFigure skeletonTechnical routeRisks and alternativesStop / pivot criteriaProject CharterMinimum viable analysisRisk registerGo / no-go criteriaNext evidence-map questionsNext bounded Codex tasks
如果用户提供的想法仍然模糊，先输出需要澄清的问题，但不要问太多。优先问会改变技术路线的 3 个问题。
可选参考
需要模板时读取 references/project-brief-template.md。不要默认把长模板全文加载到回答里。
When not to use it
- →When explicit code execution or table processing tasks are given
- →When the user only needs to read a single paper
- →When the user only requires text polishing, translation, or rewriting
Limitations
- →Does not perform active analysis or code execution
- →Does not read long project records by default
- →Focuses on planning rather than direct code implementation
How it compares
This skill provides a structured framework for planning bioinformatics projects from conception to execution, which is more complete than simply performing individual analyses or writing tasks.
Compared to similar skills
research-project-planner side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| research-project-planner (this skill) | 0 | 21d | No flags | Intermediate |
| literature-review | 559 | 1mo | Review | Advanced |
| openalex-database | 48 | 7mo | Review | Intermediate |
| jupyter-notebook | 30 | 5mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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