Find OnServerVoiceData IsPlayingDemo Callee

Organization

HLND2T

find-OnServerVoiceData_IsPlayingDemo_Callee

Generate the Windows-only OnServerVoiceData_IsPlayingDemo_Callee patch YAML from IVEngineClient2_IsPlayingDemo.windows.yaml using a deterministic preprocessor script. Use when locating the IVEngineClient2::IsPlayingDemo indirect call inside C_ServerVoiceHandler::OnServerVoiceData without LLM decompilation. Trigger: OnServerVoiceData IsPlayingDemo callee, voice demo call patch, IsPlayingDemo callsite

Overview

Publisher	HLND2T
Repository	`CS2_VibeSignatures`
Skill name	`find-OnServerVoiceData_IsPlayingDemo_Callee`
Stars	67
Forks	11
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by HLND2T on GitHub. Read the source before you install it.

Installation

Install the Find OnServerVoiceData IsPlayingDemo Callee AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/HLND2T/CS2_VibeSignatures/tree/main/.claude/skills/find-OnServerVoiceData_IsPlayingDemo_Callee
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/HLND2T/CS2_VibeSignatures/tree/main/.claude/skills/find-OnServerVoiceData_IsPlayingDemo_Callee

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/HLND2T/CS2_VibeSignatures.git /tmp/CS2_VibeSignatures
mkdir -p .claude/skills
cp -r /tmp/CS2_VibeSignatures/.claude/skills/find-OnServerVoiceData_IsPlayingDemo_Callee .claude/skills/find-OnServerVoiceData_IsPlayingDemo_Callee

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Find OnServerVoiceData IsPlayingDemo Callee in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Find OnServerVoiceData IsPlayingDemo Callee on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Find OnServerVoiceData IsPlayingDemo Callee is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OnServerVoiceData_IsPlayingDemo_Callee Patch Workflow

Overview

This Windows-only patch finder converts the already-generated IVEngineClient2_IsPlayingDemo.windows.yaml vfunc metadata into OnServerVoiceData_IsPlayingDemo_Callee.windows.yaml.

The target call site is inside C_ServerVoiceHandler::OnServerVoiceData:

asm
mov     rcx, cs:g_pSource2EngineToClient
mov     rax, [rcx]
call    qword ptr [rax+150h]    ; IVEngineClient2::IsPlayingDemo
test    al, al
jz      short loc_...

The patch address is the address of the indirect call instruction itself.

Prerequisite

The following input YAML must already exist in the current client module output directory:

text
IVEngineClient2_IsPlayingDemo.windows.yaml

Its required fields are:

yaml
func_name: IVEngineClient2_IsPlayingDemo
vtable_name: IVEngineClient2
vfunc_offset: '0x150'
vfunc_index: 42
vfunc_sig: FF 90 50 01 00 00 84 C0 74 ?? 83 FD ??

Deterministic Preprocessor

Run through the configured ida_analyze_bin.py pipeline. The corresponding script is:

text
ida_preprocessor_scripts/find-OnServerVoiceData_IsPlayingDemo_Callee.py

The script performs these checks without LLM invocation:

Rejects every platform except Windows.
Reads the input vfunc YAML from the current client output directory.
Verifies the function name, vtable name, and vfunc_offset / 8 == vfunc_index relationship.
Verifies that vfunc_sig starts with the concrete encoding of call qword ptr [rax+vfunc_offset].
Calls IDA MCP find_bytes with the full vfunc_sig and requires exactly one match.
Writes the match address as patch_va, derives patch_rva from the image base, copies vfunc_sig to patch_sig, and writes patch_sig_disp: 0.

Output

For game version 14173, the expected output is:

yaml
patch_name: OnServerVoiceData_IsPlayingDemo_Callee
patch_va: '0x180aec45d'
patch_rva: '0xaec45d'
patch_sig: FF 90 50 01 00 00 84 C0 74 ?? 83 FD ??
patch_sig_disp: 0

No patch_bytes field is generated because this skill identifies the callee call site; the downstream consumer decides how that call instruction is patched.

Failure Conditions

Stop and report failure when any of the following occurs:

The input YAML is missing or malformed.
The vfunc offset and index disagree.
The signature does not begin at the expected indirect call.
The signature has zero or multiple matches.
The match address or image base is invalid.

Frequently asked questions

What does the Find OnServerVoiceData IsPlayingDemo Callee AI skill do?

Why use Find OnServerVoiceData IsPlayingDemo Callee on TypingMind?

Because you install it once and use it with any model. Find OnServerVoiceData IsPlayingDemo Callee is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Find OnServerVoiceData IsPlayingDemo Callee in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HLND2T/CS2_VibeSignatures/tree/main/.claude/skills/find-OnServerVoiceData_IsPlayingDemo_Callee. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Find OnServerVoiceData IsPlayingDemo Callee?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Find OnServerVoiceData IsPlayingDemo Callee?

As many as you like. As long as a model supports skills, you can use Find OnServerVoiceData IsPlayingDemo Callee with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Find OnServerVoiceData IsPlayingDemo Callee AI skill free?

Yes. It is published on GitHub by HLND2T under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

OnServerVoiceData_IsPlayingDemo_Callee Patch Workflow

Overview

Prerequisite

Deterministic Preprocessor

Output

Failure Conditions

Frequently asked questions

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