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OPC 案例调研

面向个人、创作者品牌或一人公司(OPC/超级个体)案例的公开信息研究 Skill:先建立基础档案与来源映射、构建时间线,再分析内容体系、IP定位、渠道与商业模式,明确区分事实、推断与未知,按速览/标准/深度三档输出中文案例简报或结构化报告,并提供证据、时间线、内容样本、商业模式等表格模板。

cellinlab
cellinlab
热度 45.12
最近更新 2026-05-11 17:40:56
分类:数据依赖:联网浏览搜索应用场景:研究 / 报告撰写 / 市场分析 / 模板

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add cell-opc-case-research
Metadata
name
opc-case-research
description
Systematic public-information research for OPC, super-individual, creator IP, and one-person business cases, with Chinese outputs focused on content strategy, IP positioning, channel strategy, business models, timelines, and replicable lessons. Use when Codex needs to research a named person, creator brand, or one-person company case; produce a case brief or structured report; map sources and evidence; compare facts versus inferences; or turn scattered public materials into a reusable research deliverable.
metadata
{"openclaw":{"homepage":"https://github.com/cellinlab/cell-skills/tree/main/skills/opc-case-research"}}

OPC Case Research

Overview

Use this skill to research a specific person, creator brand, or one-person business case as an "OPC / super-individual / creator IP" example.

Default to:

  • public information only
  • Chinese output
  • single-case research
  • emphasis on content strategy, IP positioning, and business model
  • explicit separation of facts, inferences, and unknowns

Quick Start

  1. Confirm the target and scope. If the user did not specify depth, use the standard mode.
  2. Build a base profile and source map before writing conclusions.
  3. Build the timeline before interpreting strategy or causality.
  4. Analyze content system, IP positioning, channels, and business model together.
  5. End with replicability analysis instead of generic praise.

If the request is only a fast initial screen, do not load every reference file. Read only what is needed.

Default Inputs

Treat these as the input contract:

  • Required: target person, brand, or case name
  • Optional: focus areas such as content, IP, business model, channels, key decisions, or methods
  • Optional: depth
    • quick: short case brief
    • standard: structured research output
    • deep: standard output plus evidence tables, samples, and estimates
  • Optional: time range
  • Optional: comparison target

If the user does not specify otherwise, assume:

  • use public information
  • write in Chinese
  • prioritize content strategy, IP building, and monetization
  • analyze one case at a time
  • include a minimum evidence slice in standard and deep outputs

Workflow

1. Scope the Request

Resolve only the ambiguity that blocks the work. If the target is clearly identifiable, start immediately.

Set the working mode:

  • quick: decide whether the case is worth deeper study
  • standard: produce the default structured case study
  • deep: add evidence tables, sampling, and cautious estimates

2. Build the Base Profile and Source Map

Collect:

  • identity labels
  • platform presence
  • official pages or landing pages
  • visible business entry points
  • likely primary and secondary sources

Prefer source types in this order:

  • A: first-party statements, official pages, original program or event pages
  • B: mainstream media, platform profile pages, databases, partner pages
  • C: reposts, forums, summaries, comments, only for leads

Read references/search-playbook.md when constructing search queries, sampling plans, or source maps.

3. Build the Timeline First

Do not jump straight into opinions. Build an event sequence first.

Minimum expectations:

  • quick: 5+ meaningful nodes
  • standard: 10+ nodes
  • deep: 10-20 nodes plus notes on why each node matters

Track:

  • role shifts
  • platform shifts
  • format shifts
  • commercialization upgrades
  • major public launches or collaborations

4. Analyze the Four Core Layers

Analyze these together, not in isolation:

  1. Identity and positioning
  2. Content system and channel strategy
  3. Business model and monetization structure
  4. Key decisions, turning points, and path evolution

Read references/research-standard.md for the full checklist and evaluation rules.

5. Classify Evidence Carefully

Every important point should be marked as one of:

  • fact
  • inference
  • unknown

When in doubt, downgrade confidence instead of overstating certainty.

Use cautious language for:

  • revenue structure
  • team size
  • conversion assumptions
  • audience profile assumptions
  • operational scale

Read references/evidence-schema.md when building evidence tables or appendices.

6. Build a Minimum Evidence Slice

Even in standard mode, do not leave evidence fully implicit.

Default to a minimum evidence slice with 6-12 rows or bullet-equivalents that support the most important claims across:

  • identity or self-positioning
  • timeline
  • content or IP
  • channels
  • business model

If the user did not ask for tables, the evidence slice can be a compact appendix or a short "evidence snapshot" section instead of a full spreadsheet.

7. Shrink Claims When Public Information Is Thin

When evidence is weak, incomplete, or highly indirect:

  • narrow the scope instead of compensating with confident writing
  • separate confirmed facts, best-effort inferences, and unknowns
  • reduce the depth of business-model claims first
  • keep a to verify next list if the case is still worth researching

A smaller but more reliable output is better than a complete-looking report built on speculation.

8. Produce the Right Deliverable

Choose the smallest deliverable that still answers the user.

For quick, produce:

  • one-line positioning
  • identity tags
  • main platforms
  • visible monetization entry points
  • 3-5 reasons the case matters
  • open questions

For standard, produce:

  • case brief
  • source map summary
  • timeline
  • content and IP analysis
  • channel analysis
  • business model analysis
  • evidence snapshot or minimum evidence slice
  • replicability analysis
  • limitations and unknowns

For deep, add:

  • full evidence table
  • content sampling table
  • business model table
  • estimate disclosures when needed

Read references/report-template.md before drafting a full report. Use the copyable templates in assets/ when the output should become a reusable document or table.

Output Requirements

Always aim for:

  • Chinese writing
  • research tone, not fan tone
  • visible structure
  • evidence awareness
  • at least a small evidence trail for the main claims
  • explicit dates or time ranges when claims depend on time
  • direct linkage between content strategy, channel choice, and business model
  • actionable takeaways for people studying super-individual paths

Hard Rules

Do not:

  • use private or non-public information
  • present unverified claims as facts
  • invent revenue, team, or deal details
  • turn gossip into business analysis
  • hide uncertainty behind confident phrasing

When information is weak, say so clearly and narrow the claim.

Resource Map

Not for This Skill

This skill is not for:

  • celebrity gossip
  • private intelligence gathering
  • legal, financial, or investment due diligence
  • unsupported claims about real income or private operations