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opc-case-research

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.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/cellinlab/cell-opc-case-research
Or

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:

Metadata

Author@cellinlab
Stars4017
Views1
Updated2026-04-11
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-cellinlab-cell-opc-case-research": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.