Agent skill

Agenticx Agent Builder

by DemonDamon in DemonDamon/AgenticX

Guide for creating persistent Near desktop digital avatars (数字分身) via natural-language interview and the createavatar tool.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Agenticx Agent Builder

skills CLI
$ npx skills add DemonDamon/AgenticX --skill agenticx-agent-builder -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install DemonDamon/AgenticX agenticx-agent-builder --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/DemonDamon/AgenticX.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agenticx/skills/agenticx-agent-builder .claude/skills/agenticx-agent-builder && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agenticx-agent-builder
GitHub stars
294
Token cost
~893 tokens
SKILL.md length
417 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guide for creating persistent Near desktop digital avatars (数字分身) via natural-language interview and the createavatar tool.

  • Works in 5 steps: Must call create_avatar after clarifying… → Do NOT only write a Markdown file to… → Do NOT tell the user there is "no… → …
  • The user wants to create an avatar
  • SKILL.md covers Hard rules, Interview flow (2–3 rounds,…, Distill into these fields and Landing step (required), plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agenticx Agent Builder is an agent skill from DemonDamon/AgenticX. Guide for creating persistent Near desktop digital avatars (数字分身) via natural-language interview and the createavatar tool. Use when the user wants to create an avatar, digital twin, specialist agent persona, or add someone to the avatar sidebar.

Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Building AI agents. The repository describes itself as: AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers… The licence is Apache-2.0.

When your agent uses it

  • The user wants to create an avatar
  • Specialist agent persona
  • Add someone to the avatar sidebar

Example prompts

  • “/agenticx-agent-builder”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Must call create_avatar after clarifying and distilling the config. That tool writes the avatar into the registry and makes it appear in…
  2. Do NOT only write a Markdown file to Desktop / workspace and claim the avatar is created.
  3. Do NOT tell the user there is "no create-avatar API" — create_avatar is the API.
  4. Do NOT ask the user to open「+ 新建」and fill the manual form unless they explicitly want the GUI.
  5. Do NOT invent Python SDK / AgentExecutor / agx agent create workflows for this task — those are code-layer agents, not Near desktop avatars.

What it can do on your machine

Read from SKILL.md and the folder at commit c1af2c7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agenticx Agent Builder loads about 893 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 417 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~893

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from DemonDamon/AgenticX at commit c1af2c7, republished under its Apache-2.0 licence (© DemonDamon). 417 words, ~893 tokens.

Download SKILL.mdSave it as .claude/skills/agenticx-agent-builder/SKILL.md (or your agent's skills folder).
name
agenticx-agent-builder
description
Guide for creating persistent Near desktop digital avatars (数字分身) via natural-language interview and the create_avatar tool. Use when the user wants to create an avatar, digital twin, specialist agent persona, or add someone to the avatar sidebar.
metadata.author
AgenticX
metadata.version
0.6.5

Near Digital Avatar Builder

Help the user create a persistent desktop digital avatar (数字分身) that appears in the Near sidebar avatar list.

Hard rules

  1. Must call create_avatar after clarifying and distilling the config. That tool writes the avatar into the registry and makes it appear in the sidebar.
  2. Do NOT only write a Markdown file to Desktop / workspace and claim the avatar is created.
  3. Do NOT tell the user there is "no create-avatar API" — create_avatar is the API.
  4. Do NOT ask the user to open「+ 新建」and fill the manual form unless they explicitly want the GUI.
  5. Do NOT invent Python SDK / AgentExecutor / agx agent create workflows for this task — those are code-layer agents, not Near desktop avatars.

Interview flow (2–3 rounds, not a long questionnaire)

Ask only what is still missing. Prefer short choices (clarification / show_widget) over open essays.

Round 1 — Positioning
  • What should this avatar own? (domain / job)
  • Who is it for? (usually the current user)
Round 2 — Scope & style
  • Coverage (markets, stacks, products, languages…)
  • Analysis / work style (trading vs research, concise vs thorough, etc.)
Round 3 — Boundaries (only if needed)
  • Risk preference / what it must never do
  • Preferred output structure
  • Optional default model

Stop early when you already have enough to write a solid name / role / system_prompt.

Distill into these fields

FieldMeaningExample
nameShort character-like display name飞廉
roleOne-line positioning进取型全市场交易分析师
system_promptFull behavior contractSee template below
default_provider / default_modelOptional; omit to inherit global default
Show full SKILL.md (171 more words)Show less
system_prompt should include
  • Identity & coverage
  • Analysis / work priorities
  • Risk preference & hard boundaries
  • Data discipline (no fabricated numbers / facts)
  • Output style & fixed structure when useful
  • Disclaimer when the domain needs one (finance, medical, legal, etc.)

Landing step (required)

Call:

text
create_avatar(
  name=...,
  role=...,
  system_prompt=...,
  default_provider=optional,
  default_model=optional
)

Then confirm to the user:

  • The avatar is in the sidebar list
  • They can open it or @ it in group chat
  • Optionally offer follow-ups: schedule automation, tweak prompt, set default model
If create_avatar returns avatar_exists

Do not create a duplicate. Tell the user it already exists and offer:

  • delegate_to_avatar(avatar_id=..., task=...) for work
  • Or update via settings / a later update tool if they want changes

Anti-patterns

  • Saying "半搞定" after only drafting a prompt file
  • Dumping a long YAML/Markdown archive without calling create_avatar
  • Asking the user to copy-paste into the create-avatar form
  • Confusing temporary spawn_subagent workers with persistent avatars
  • Using spawn_subagent with the same name as a registered avatar

Example success path

User: "帮我创建一个数字分身专门帮我分析金融市场"

  1. Clarify markets / style / risk preference (2–3 choices)
  2. Distill name=飞廉, role=进取型全市场交易分析师, full system_prompt
  3. Call create_avatar(...)
  4. Reply: 飞廉已加入分身列表,可直接点开或 @ 它

© DemonDamon, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in agenticx/skills/agenticx-agent-builder of DemonDamon/AgenticX.

Open the folder on GitHubat commit c1af2c7

Compare with similar skills

Agenticx Agent Builder next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agenticx Agent Builder compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agenticx Agent Builder this skillDemonDamon/AgenticX294—~893Automated safety check: PassApache-2.0
Agent BuildershareAI-lab/learn-claude-code78k6 repos~1.2kAutomated safety check: PassMIT
Create Agent Skillsglittercowboy/taches-cc-resources2k—~1.7kAutomated safety check: PassMIT
Muse Governanceucsandman/DashClaw310—~1.7kAutomated safety check: PassMIT
Langgraph Agent Patternssoba-labs/langchain-agent-skills107—~3.6kAutomated safety check: PassMIT
Agent Buildern8n-io/n8n207k—~2.5kAutomated safety check: PassCustom licence

Similar skills

  • Agent Builder

    shareAI-lab/learn-claude-code

    Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.

    78k GitHub starsUsed in 6 repos~1.2k tokens
    AI & LLM EngineeringAuto-check passed
  • Create Agent Skills

    glittercowboy/taches-cc-resources

    Expert guidance for creating, writing, building, and refining Claude Code Skills.

    2k GitHub stars~1.7k tokensUpdated 6 mo ago
    AI & LLM EngineeringAuto-check passed
  • Muse Governance

    ucsandman/DashClaw

    Governance behavior for Muse agents governed by DashClaw. An agent skill from ucsandman/DashClaw.

    310 GitHub stars~1.7k tokensUpdated 2 days ago
    AI & LLM EngineeringAuto-check passed
  • Langgraph Agent Patterns

    soba-labs/langchain-agent-skills

    Implement multi-agent coordination patterns (supervisor-subagent, router, orchestrator-worker, handoffs) for LangGraph applications.

    107 GitHub stars~3.6k tokensUpdated 1 mo ago
    AI & LLM EngineeringAuto-check passed
  • Agent Builder

    n8n-io/n8n

    Official

    Load immediately after an Agent intent. An agent skill from n8n-io/n8n.

    207k GitHub stars~2.5k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • A-Evolve Agent Evolution

    Orchestra-Research/AI-Research-SKILLs

    Guidance for using A-Evolve to improve an AI agent automatically, evolving its prompts, skills and memory against a benchmark through solve, observe and evolve cycles.

    13k GitHub starsUsed in 1 repo~3.6k tokens
    AI & LLM EngineeringAuto-check passed

More from DemonDamon/AgenticX

All 17 skills in this repo
  • Code Module Summaries

    DemonDamon/AgenticX

    A skill your agent uses when scanning an arbitrary Git repository to create, refresh, or selectively update Markdown summaries of code modules, especially when changes must be traced from each…

    294 GitHub stars~3.7k tokensUpdated today
    Auto-check passed
  • Agenticx A2a Connector

    DemonDamon/AgenticX

    Guide for using the A2A (Agent-to-Agent) communication protocol in AgenticX including agent discovery, skill invocation, remote agent cards, and distributed agent systems.

    294 GitHub stars~1.3k tokensUpdated today
    Auto-check passed
  • Agenticx Deployer

    DemonDamon/AgenticX

    Guide for deploying AgenticX agents to production including Docker containerization, Kubernetes orchestration, Volcengine AgentKit cloud deployment, and API server setup.

    294 GitHub stars~866 tokensUpdated today
    Auto-check passed
  • Agenticx Memory Architect

    DemonDamon/AgenticX

    Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents.

    294 GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Agenticx Query Data Source

    DemonDamon/AgenticX

    A skill your agent uses when the user asks about verifiable quantitative facts (stock prices, financial indicators, macro data, company registry, academic metrics, legal statutes) that must come…

    294 GitHub stars~1.5k tokensUpdated today
    Auto-check passed
  • Agenticx Quickstart

    DemonDamon/AgenticX

    AgenticX zero-to-hero quickstart guide. An agent skill from DemonDamon/AgenticX.

    294 GitHub stars~777 tokensUpdated today
    Auto-check passed

Questions about Agenticx Agent Builder

What does Agenticx Agent Builder do?

Guide for creating persistent Near desktop digital avatars (数字分身) via natural-language interview and the createavatar tool. Agenticx Agent Builder is an agent skill from DemonDamon/AgenticX. Guide for creating persistent Near desktop digital avatars (数字分身) via natural-language interview and the createavatar tool.

When should I use Agenticx Agent Builder?

Agenticx Agent Builder fits situations like: the user wants to create an avatar; specialist agent persona; add someone to the avatar sidebar.

How do I install Agenticx Agent Builder in Claude Code?

Run `npx skills add DemonDamon/AgenticX --skill agenticx-agent-builder -a claude-code`. Or copy the skill folder (agenticx/skills/agenticx-agent-builder in DemonDamon/AgenticX) into .claude/skills/agenticx-agent-builder in your project. Claude Code loads it when a task matches its description.

How do I install Agenticx Agent Builder in Codex?

Run `npx skills add DemonDamon/AgenticX --skill agenticx-agent-builder -a codex`. Or copy the skill folder (agenticx/skills/agenticx-agent-builder in DemonDamon/AgenticX) into .agents/skills/agenticx-agent-builder in your project. Codex loads it when a task matches its description.

Can I use Agenticx Agent Builder in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DemonDamon/AgenticX --skill agenticx-agent-builder -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agenticx-agent-builder, .gemini/skills/agenticx-agent-builder, .github/skills/agenticx-agent-builder and .opencode/skills/agenticx-agent-builder in your project.

What does Agenticx Agent Builder need to run?

SKILL.md names no scripts, command-line tools or credentials: Agenticx Agent Builder is instructions for the agent only. Our summary lists: Python 3.

Does Agenticx Agent Builder access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agenticx Agent Builder safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agenticx Agent Builder use?

Agenticx Agent Builder is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agenticx Agent Builder use?

About 893 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agenticx Agent Builder?

Skills that share tags, products or a category with Agenticx Agent Builder: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Create Agent Skills (glittercowboy/taches-cc-resources, 2k stars), Muse Governance (ucsandman/DashClaw, 310 stars) and Langgraph Agent Patterns (soba-labs/langchain-agent-skills, 107 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agenticx Agent Builder?

DemonDamon (a GitHub user) maintains it in DemonDamon/AgenticX, which has 294 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 8, 2026.

Source: DemonDamon/AgenticX on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.