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actor-profiling

@yogsoth-ai · 收录于 5 天前 · 上游提交 2 周前

Understand who the user is — background, resources, constraints, and deep motivations. Produces an ActorProfile that informs all downstream decisions. Use this tactic at the start of any crystallization process to build a model of the user's capabilities, limitations, and intent.

适合你,如果需要在项目开始时快速理解用户特征与意图

/ 通过 npx 安装 校验哈希
npx oh-my-skill add yogsoth-ai/de-anthropocentric-research-engine/actor-profiling
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- yogsoth-ai/de-anthropocentric-research-engine/actor-profiling
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify yogsoth-ai/de-anthropocentric-research-engine/actor-profiling
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 59ace64 · 表述以原文为准
它做什么

装上后,Claude会通过一系列对话了解你的背景、资源、限制和深层动机,并整理成一份“角色档案”(ActorProfile),用于后续的研究建议决策。

什么时候触发

当你开始一个新研究项目或请求帮助规划课题时,技能会在初始阶段自动启动,逐步收集你的信息。

装好后可以这样说
Claude会开始收集背景和资源。
Claude会记录资源约束。
Claude会探索深层动机和边界。
技能原文 SKILL.md作者撰写 · Apache-2.0 · 59ace64

Actor Profiling

Build a comprehensive model of the user as a research actor — who they are, what they have, what constrains them, and why they're doing this.

Available SOPs

| SOP | Purpose | Execution | |-----|---------|-----------| | explore-resume | Background, skills, projects, publications, research experience | dialogue (once only) | | clarify-resources | Compute, timeline, collaboration, data, environment | dialogue | | ask-constraints | Venue targets, methodology preferences, avoidance areas, advisor requirements | dialogue | | ask-intentionality | Deep WHY probing — motivation, risk tolerance, innovation preference, etc. | dialogue |

Methodology Guidance

The goal is to construct an ActorProfile with enough information to inform field exploration and goal decomposition. How you get there is your decision.

Typical flow:

  1. explore-resume first (one-time, never re-run)
  2. clarify-resourcesask-constraintsask-intentionality

But you may:

  • Return to ask-intentionality at any point when you discover a deeper WHY to probe
  • Interleave clarify-resources when intentionality probing reveals resource-related gaps
  • Skip or abbreviate SOPs when the user's initial message already provides the information

End condition: You judge that you have enough information to construct a meaningful ActorProfile. In cold-start scenarios, "enough" may mean just establishing boundaries (what the user won't do) rather than specifics.

Cold-Start Special Case

When the user doesn't know what they want or can do, the ActorProfile captures boundaries rather than commitments:

  • "User has experience in NLP and GNN, won't jump to physics/chemistry"
  • "Timeline is flexible, no hard deadline"
  • "Motivated by interest, not graduation pressure"

This is sufficient — later tactics will help narrow within these boundaries.

Output (Tactic-Level Aggregation)

After running the SOPs you deem necessary, synthesize an ActorProfile:

ActorProfile {
  background: { skills, projects, publications, researchExp }
  resources: { compute, timeline, collaboration, data, environment }
  constraints: { venue, methodology, avoidance, advisor }
  intentionality: {
    motivation, successDefinition,
    riskTolerance, innovationPreference,
    independencePreference, timeUrgency, learningWillingness
  }
  boundary: "..."  // what the user definitely won't do
}

This is a conceptual schema, not a JSON requirement. Express it in whatever format serves the downstream context best.

<!-- BEGIN available-tables (generated) -->

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use | | --- | --- | | ask-constraints | Understand hard boundaries on the user's research — target venues, methodology preferences, areas to avoid, advisor/team requirements. Not limited to ML/AI — works for any research domain. | | ask-intentionality | Deep WHY probing inspired by i* Intentionality modeling. Understand the user's motivation, success definition, risk tolerance, innovation preference, independence preference, time urgency, and learning willingness. The most important SOP in actor-profiling — understanding WHY drives everything downstream. | | clarify-resources | Understand what resources the user has available for research — compute, timeline, collaboration, data access, experimental environment. Every item accepts 'TBD' as a valid answer. | | explore-resume | Understand the user's background comprehensively — technical stack, project experience, research experience, publications, research directions. Allows user to express interest beyond their resume. Execute once only, never re-run. |

<!-- END available-tables (generated) -->

按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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