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victorchen96/deepseek_v4_rolepaly_instruct resource

对于DeepSeek-V4角色扮演的特殊控制指令的说明 observed · 2026-08-28

github.com/victorchen96/deepseek_v4_rolepaly_instruct · Python observed · 2026-08-28

Health v2 · maintenance only

52/100

  • Activity 84
  • Release rhythm 35
  • Longevity 9

Flags: no_releases young no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 131
  • days_rel: n/a
  • days_push: 97
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2303 stars · 117 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A documentation and prompt-engineering guide for controlling DeepSeek-V4's chain-of-thought style during roleplay, providing copy-paste control instructions for immersive in-character monologue versus pure analytical thinking modes. It includes usage instructions for the DeepSeek app/web expert mode and Python API code snippets for injecting the markers into message history.

Use cases

  • make deepseek roleplay with in-character inner monologue in its thinking
  • force the model's reasoning to be pure analysis instead of roleplay
  • control chain-of-thought style in deepseek v4 api
  • set thinking mode once and have it persist across a roleplay chat
  • python example for injecting roleplay control instructions into messages
  • switch between immersive and analytical thinking modes in deepseek app

When to choose

  • you roleplay with DeepSeek-V4 and want to control whether the thinking trace contains in-character inner monologue
  • you build roleplay bots on the deepseek-v4 API and need stable thinking-style control
  • you want copy-paste prompt markers with API integration examples

When to avoid

  • you use a different model than DeepSeek-V4 or its flash/pro API variants
  • you need guaranteed 100% deterministic thinking-style output, since the effect is probabilistic
  • you need a software library or tool rather than prompt documentation

Facets

learning-resource · maturity active

prompt-engineering chatbot llm-inference large-language-models chatbots tutorials artificial-intelligence python cross-platform roleplay deepseek chain-of-thought prompt-guide thinking-mode web-server

1 source

Member repositories

RepositoryRoleHealth v2
victorchen96/deepseek_v4_rolepaly_instructmain52

For agents

markdown · JSON · MCP: product_card(name="victorchen96/deepseek_v4_rolepaly_instruct")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem