Agent skill

Connector Assistant

连接器助手（Connector Assistant）。当用户想在对话里新建 / 接入 / 更新一个「连接器」（把外部系统、MCP Server、API 接到 Near）时使用：先列模板与已有实例去重，匹配模板则复用，否则用一张结构化表单问清系统类型、认证方式与上游地址，再创建连接器、用掩码卡片收凭证、做连通性检查。连接器不是分身（Avatar）。

Apache-2.0Auto-check passedAgent Workflows

Install Connector Assistant

skills CLI

$ npx skills add DemonDamon/AgenticX --skill connector-assistant -a claude-code

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

GitHub CLI

$ gh skill install DemonDamon/AgenticX connector-assistant --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/connector-assistant .claude/skills/connector-assistant && 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/

Paste into Claude Code

Install the "connector-assistant" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/connector-assistant into .claude/skills/connector-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connector-assistant", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/connector-assistant

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add DemonDamon/AgenticX --skill connector-assistant -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install DemonDamon/AgenticX connector-assistant --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DemonDamon/AgenticX.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agenticx/skills/connector-assistant .agents/skills/connector-assistant && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "connector-assistant" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/connector-assistant into .agents/skills/connector-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connector-assistant", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add DemonDamon/AgenticX --skill connector-assistant -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install DemonDamon/AgenticX connector-assistant --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DemonDamon/AgenticX.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agenticx/skills/connector-assistant .cursor/skills/connector-assistant && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "connector-assistant" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/connector-assistant into .cursor/skills/connector-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connector-assistant", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/DemonDamon/AgenticX.git --path agenticx/skills/connector-assistant

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add DemonDamon/AgenticX --skill connector-assistant -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install DemonDamon/AgenticX connector-assistant --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DemonDamon/AgenticX.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agenticx/skills/connector-assistant .gemini/skills/connector-assistant && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "connector-assistant" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/connector-assistant into .gemini/skills/connector-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connector-assistant", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install DemonDamon/AgenticX connector-assistant

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add DemonDamon/AgenticX --skill connector-assistant -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/DemonDamon/AgenticX.git skills-src && mkdir -p .github/skills && cp -r skills-src/agenticx/skills/connector-assistant .github/skills/connector-assistant && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "connector-assistant" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/connector-assistant into .github/skills/connector-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connector-assistant", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add DemonDamon/AgenticX --skill connector-assistant -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install DemonDamon/AgenticX connector-assistant --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DemonDamon/AgenticX.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agenticx/skills/connector-assistant .opencode/skills/connector-assistant && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "connector-assistant" agent skill from https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/connector-assistant into .opencode/skills/connector-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "connector-assistant", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: connector-assistant
GitHub stars: 315
Token cost: ~2.1k tokens
SKILL.md length: 529 words
Files: 1
Skills in repo: 17
Repo updated: Oct 9, 2026
First seen: Oct 8, 2026
Licence: Apache-2.0

At a glance

Works in 4 steps: 概念：连接器 ≠ 分身 → 工具 → 流程（严格按序） → …
Tasks that involve MCP servers
SKILL.md covers 0. 概念：连接器 ≠ 分身, 1. 工具, 2. 流程（严格按序） and 3. 红线
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Connector Assistant is an agent skill from DemonDamon/AgenticX. 连接器助手（Connector Assistant）。当用户想在对话里新建 / 接入 / 更新一个「连接器」（把外部系统、MCP Server、API 接到 Near）时使用：先列模板与已有实例去重，匹配模板则复用，否则用一张结构化表单问清系统类型、认证方式与上游地址，再创建连接器、用掩码卡片收凭证、做连通性检查。连接器不是分身（Avatar）。

Its SKILL.md is about 2.1k 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 Agent Workflows, covering MCP servers. It works with Model Context Protocol. 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

Tasks that involve MCP servers

Example prompts

“/connector-assistant”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

概念：连接器 ≠ 分身
工具
流程（严格按序）
红线

What it can do on your machine

Read from SKILL.md and the folder at commit ce32aff. 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 (its code samples are json).
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

Connector Assistant loads about 2.1k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 529 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~49
When it runs · the whole SKILL.md, loaded when a task matches: ~2.1k

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 ce32aff, republished under its Apache-2.0 licence (© DemonDamon). 529 words, ~2,055 tokens.

Download SKILL.mdSave it as .claude/skills/connector-assistant/SKILL.md (or your agent's skills folder).

name: connector-assistant
description: 连接器助手（Connector Assistant）。当用户想在对话里新建 / 接入 / 更新一个「连接器」（把外部系统、MCP Server、API 接到 Near）时使用：先列模板与已有实例去重，匹配模板则复用，否则用一张结构化表单问清系统类型、认证方式与上游地址，再创建连接器、用掩码卡片收凭证、做连通性检查。连接器不是分身（Avatar）。
metadata.author: AgenticX
metadata.version: 1.1.0
metadata.display_name: 连接器助手

连接器助手

0. 概念：连接器 ≠ 分身

连接器（Connector）＝一个「模板实例」：把外部系统接进 Near，在「设置 → 连接器 → 我的连接」、市场卡片、对话框连接器选择器里只出现一次。三种形态：
- mcp：远程 MCP Server（存于 ~/.agenticx/mcp.json）；
- rest：HTTP API，登记到本机连接器网关（connector-runtime，~/.agenticx/connector-runtime/connectors/<id>.json），对话里通过网关 MCP 工具 search_actions → get_action_guide → execute_action 调用，实例 id 形如 rest:<id>；
- database：SQLite / MySQL / PostgreSQL，内置只读 MCP（list_tables / describe_table / query），存于 mcp.json。
分身（Avatar）＝另一个智能体人格，与连接器无关。
通用 MCP Server ≠ 连接器：手动添加 / 导入 / 市场安装的 MCP 只在「插件市场 → MCP」里展示与管理，不进「我的连接」。用户只是想加一个 MCP Server（不要求作为连接器）时，不走本助手，引导到「插件市场 → MCP → + 新建 MCP」（远程 URL / 导入 JSON）；「新建连接器」菜单里没有「新建自定义 MCP」。只有用户明确要把它作为连接器接入时，才用 connector_manage create 建（会打连接器标，出现在「我的连接」）。
用户说「创建一个连接器叫 abc」→ abc 是连接器名。禁止 create_avatar、禁止追问「abc 是不是分身」、禁止说「无法创建原生连接器」然后结束。

1. 工具

只用 connector_manage（不要手写 / file_edit mcp.json，不要 mcp_import）：

action	用途
`list_templates`	模板目录（`create_via`: `mcp_url` 可在对话里建；`ui_native` 需在 UI 握手；`unavailable` 未接线）
`list_instances`	已有实例：`instances`（mcp / database）+ `rest_instances`（网关 REST），只返回 `has_credential`，不含密钥
`create`	新建 / 更新 MCP 实例（`mcp_oauth:true` = 标准 MCP OAuth，verify 时浏览器授权）
`create_rest`	登记 REST 连接器（OpenAPI/Swagger URL 或文件优先；否则简短接口清单）
`create_database`	新建数据库连接器（默认只读 + 行数上限）
`request_credential`	弹出掩码卡片按类型收凭证（多字段），你拿不到明文；OAuth 授权码模式会在填完后自动打开系统浏览器授权
`authorize_oauth`	重新走 OAuth 授权码（PKCE）浏览器授权（REST）
`verify`	探活：MCP 握手 / REST 执行一个无参 read 动作 / 数据库连接 + 列表
`delete`	仅在用户明确要求删除时使用

2. 流程（严格按序）

第 1 步：先盘点，避免重复建设

并行调用 connector_manage {action:"list_templates"} 与 {action:"list_instances"}。
按名称 / 关键词匹配：
- 已有同名或同系统实例 → 告诉用户已存在，用 request_clarification 问「直接使用 / 更新连接」（单题即可）。选「更新」时 create 带 overwrite:true。
- 命中模板且 create_via=mcp_url → 走模板实例：template_id 用该模板 id。模板带 mcp_url（官方端点，已核实）时不要再问地址，url 可省略（自动用 mcp_url）；否则只问上游地址（第 2 步只保留 Q3）。认证方式按模板 auth：
  - mcp_oauth（官方远程 MCP，OAuth 2.1 + 动态客户端注册，如腾讯文档 / Notion / Linear / Cloudflare / 天眼查 / 企查查）→ 只需名称，绝不索要 Token / Client ID / Secret；create 自动 mcp_oauth:true，随后 verify 打开系统浏览器授权，令牌只存本机 ~/.agenticx/connectors/oauth/（0600）。
  - 模板带 auth_query（如高德 key、百度地图 ak、腾讯地图 key、快递100 key）→ create 自动 auth_style:"query" + query_param，再 request_credential 用掩码卡片收 Key。
  - 模板带 auth_header（如盈米 x-api-key）→ create 自动 auth_style:"header" + header_name，同样用掩码卡片收 Key。
  - api_key/custom_credential → bearer（模板 create 未传 auth_style 时自动 bearer）；none → none。
  - 模板带 credential_label / credential_help_url（如恒生聚源：Access Token + 飞书「如何获取凭证」文档）→ 收凭证前在回复里用一句话附上该链接（Markdown 链接，如「如何获取凭证」），request_credential 的 credential_label 用模板给的名称（不传也会自动取模板值）。
- 命中 ui_native 模板（腾讯会议 / TAPD / GitHub / 飞书 / 企业微信 / Agent Mail）→ 不在对话里建，引导用户到「市场 / 设置 → 连接器」点「连接」完成授权；结束。
- 命中 unavailable 模板（OAuth 类）→ 说明暂未接线，可改用该服务的 MCP Server URL 走自定义。
- 都不匹配 → 第 2 步。

第 2 步：一张结构化表单问清楚（只调用一次 `request_clarification`）

不要拆成多次提问，不要写成正文问题。<名称> 换成用户给的连接器名：

json

{
  "prompt": "为了创建连接器「<名称>」，需要确认以下信息",
  "decisions": [
    {
      "id": "system_type",
      "question": "<名称> 要接入的是什么类型的系统？",
      "options": ["REST API（提供 HTTP 接口文档）", "MCP Server（提供 MCP 接入 URL）", "数据库直连（需手动配置）", "其他（自定义输入）"],
      "custom_option": "其他（自定义输入）"
    },
    {
      "id": "auth",
      "question": "该系统的认证方式是什么？",
      "options": ["无需认证", "Bearer Token", "自定义请求头", "Query 参数", "AK/SK 签名", "OAuth 2.0", "其他（自定义输入）"],
      "custom_option": "其他（自定义输入）"
    },
    {
      "id": "upstream_url",
      "question": "请提供上游服务地址（REST API 的 base_url，或 MCP Server 完整 URL，须含 path）",
      "input_type": "url",
      "label": "上游地址",
      "placeholder": "https://example.com/api 或 https://example.com/mcp"
    }
  ],
  "allow_free_text": false,
  "submit_label": "确认",
  "skip_label": "忽略"
}

用户点「忽略」（结果为「用户未提供具体内容」）→ 简短说明可随时从「+ 新建连接器」继续，结束。

第 3 步：按类型分支，只追问该类型缺的字段

已知字段不重复问；缺的字段合并成一次 request_clarification（input_type:"text"/"url"），绝不在表单里问密钥（密钥只走第 5 步掩码卡片）。

MCP Server → 第 4 步（create）。认证方式映射：

用户选择	create 参数
无需认证	`auth_style:"none"`
Bearer Token	`auth_style:"bearer"`
自定义请求头	`auth_style:"header"` + `header_name`（问名字，默认 `X-API-Key`）
Query 参数	`auth_style:"query"` + `query_param`（默认 `api_key`）
OAuth 2.0	`auth_style:"none"` + `mcp_oauth:true`（服务端支持标准 MCP OAuth 时；verify 打开浏览器授权）。模板 `auth=mcp_oauth` 时自动设置，无需再问
AK/SK 签名	MCP 不支持签名认证；若该系统实际是 HTTP API → 按 REST 处理

REST API → create_rest。追问：

「是否有 OpenAPI / Swagger 文档？」→ 有：spec_source（URL 或本机文件路径，优先）；没有：请用户给简短接口清单 endpoints（每行 METHOD /path 描述，如 GET /orders/{id} 查询订单）。
base_url：表单 Q3 已给则直接用（OpenAPI 里有 servers 时可省略）。
认证（映射到 auth_type）：

用户选择	auth_type	需追问（非密钥）	卡片收集（密钥）
无需认证	`none`	—	—
Bearer Token	`bearer`	—	Token
自定义请求头	`api_key_header`	`header_name`	API Key
Query 参数	`api_key_query`	`query_param`	API Key
AK/SK 签名	`hmac`	AK/签名/时间戳请求头名（默认 `X-Access-Key`/`X-Signature`/`X-Timestamp`），签名串模板（默认 `{method}\n{path}\n{query}\n{timestamp}\n{body_sha256}`），hex/base64	AK（明文显示）+ SK
OAuth 2.0（服务间）	`oauth2_client_credentials`	`token_url`、`scopes`	Client ID + Client Secret
OAuth 2.0（用户授权）	`oauth2_authorization_code`	`authorize_url`、`token_url`、`scopes`（通常含 `offline_access`）	Client ID (+Secret)，随后系统浏览器授权

未指定认证且有 OpenAPI 时可省略 auth_type，按文档的 securitySchemes 推断（结果 auth_from_spec:true，向用户确认）。 AK/SK 仅覆盖通用 HMAC-SHA256 请求头签名；AWS SigV4、阿里云/腾讯云官方签名不在支持范围，要如实说明。

数据库直连 → create_database。追问：db_type（SQLite / MySQL / PostgreSQL）；SQLite 问文件路径 db_path；MySQL/PostgreSQL 问 db_host、db_port（默认 3306/5432）、db_name、db_user（不问密码，密码走第 5 步）。默认只读；只有用户明确要求写入时才 allow_writes:true，并提醒风险。

其他 → 依据描述判断能否归入以上三类；不能则说明并结束。

Show full SKILL.md (139 more words)Show less

第 4 步：创建

MCP：connector_manage {action:"create", name, url, auth_style, header_name?, query_param?, template_id?, mcp_oauth?}
REST：connector_manage {action:"create_rest", name, base_url?, spec_source? | endpoints?, auth_type?, header_name?/query_param?/hmac_*?/token_url?/authorize_url?/scopes?}
数据库：connector_manage {action:"create_database", name, db_type, db_path? | db_host, db_port, db_name, db_user, allow_writes?}

通用结果处理：

error=exists → 已有实例（返回 existing），问「直接使用 / 更新」，不要换个名字再建一份；更新带 overwrite:true。
error=duplicate → 名称被占用，请用户换名。
error=invalid_form / spec_invalid / driver_missing → 指出原因并只重问该字段。
gateway_unavailable → 本机连接器网关未就绪（桌面端未打包网关时会出现），如实告知。

第 5 步：收凭证（仅当 `needs_credential=true`）

MCP：{action:"request_credential", server_name, credential_label:"API Key" 或 "Token"}（模板有 credential_label 时用模板值，如恒生聚源 Access Token；create 结果带 credential_help_url 时先把「如何获取凭证」链接发给用户，掩码卡片里也会显示该链接）
REST：{action:"request_credential", instance_id:"rest:<id>"}（按认证类型自动给出多字段卡片；OAuth 授权码会在提交后打开系统浏览器，用户在浏览器里同意即可）
数据库：{action:"request_credential", server_name}（数据库密码；SQLite 无需）
永远不要让用户把 Token / Key / 密码 / Secret 发在聊天里；如果用户主动贴了，提醒其已暴露、建议到服务端轮换，并仍通过掩码卡片重新填写。
不要在回复里复述、拼接、猜测任何凭证内容。
返回 skipped / no_answer → 提示可稍后再填；no_refresh_token → 说明需在 scopes 中加入 offline_access（或服务方等价设置）后重试 authorize_oauth。

第 6 步：探活

connector_manage {action:"verify", server_name | instance_id}：

MCP 成功 → 报告可用工具数；失败：401/403 多为凭证错误（可再走第 5 步），404 多为 URL path 错误，超时多为网络 / 内网地址。
REST → 执行首个无必填参数的 read 动作；no_probe_action 表示没有可直接探测的动作（不算失败，提示用户用 execute_action 实测）。
数据库 → 返回表数量与前若干个表名。

第 7 步：汇报

简短列出：连接器名、类型（MCP / REST / 数据库）、地址（host 即可）、认证方式（不含密钥）、探活结果（REST 附动作数，数据库附只读与行数上限），并提示：「可在 设置 → 连接器 → 我的连接 查看 / 更新凭证 / 删除；在对话框的连接器选择器里即可启用。」

3. 红线

不重复建设：先 list，再决定复用 / 更新 / 新建；同一模板只保留一个实例。
不泄露密钥：凭证只走 request_credential 掩码卡片；工具结果里也不会出现明文。
不越权：不改其它 MCP 条目；delete 只在用户明确要求删除某个连接器时使用。
数据库默认只读；写入需用户明确同意。

Files

Just SKILL.md in agenticx/skills/connector-assistant of DemonDamon/AgenticX.

Open the folder on GitHubat commit ce32aff

Compare with similar skills

Connector Assistant 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.

Connector Assistant compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Connector Assistant this skillDemonDamon/AgenticX	315	—	~2.1k	Automated safety check: Pass	Apache-2.0	today
MCP Server Builderanthropics/skills	180k	63 repos	~2.3k	Automated safety check: Pass	Apache-2.0	today
MCP Server BuildershareAI-lab/learn-claude-code	78k	5 repos	~1.2k	Automated safety check: Pass	MIT	10 days ago
MCP Integration for Pluginsanthropics/claude-plugins-official	38k	11 repos	~3.1k	Automated safety check: Pass	Apache-2.0	today
MCP Server Builder with mcp-usemcp-use/mcp-use	11k	—	~923	Automated safety check: Pass	Apache-2.0	today
Agents SDKcloudflare/skills	3k	2 repos	~3k	Automated safety check: Pass	Apache-2.0	today

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Agenticx Memory Architect
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Works with

Model Context Protocol

Questions about Connector Assistant

What does Connector Assistant do?

When should I use Connector Assistant?

Connector Assistant fits situations like: tasks that involve MCP servers.

How do I install Connector Assistant in Claude Code?

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

How do I install Connector Assistant in Codex?

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

Can I use Connector Assistant 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 connector-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/connector-assistant, .gemini/skills/connector-assistant, .github/skills/connector-assistant and .opencode/skills/connector-assistant in your project.

What does Connector Assistant need to run?

SKILL.md names no scripts, command-line tools or credentials: Connector Assistant is instructions for the agent only.

Does Connector Assistant 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 Connector Assistant 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 Connector Assistant use?

Connector Assistant 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 Connector Assistant use?

About 2.1k tokens (SKILL.md is roughly 8.2k 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 Connector Assistant?

Skills that share tags, products or a category with Connector Assistant: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and MCP Server Builder with mcp-use (mcp-use/mcp-use, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Connector Assistant?

DemonDamon (a GitHub user) maintains it in DemonDamon/AgenticX, which has 315 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 9, 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.

Install Connector Assistant

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

连接器助手

0. 概念：连接器 ≠ 分身

1. 工具

2. 流程（严格按序）

第 1 步：先盘点，避免重复建设

第 2 步：一张结构化表单问清楚（只调用一次 request_clarification）

第 3 步：按类型分支，只追问该类型缺的字段

第 4 步：创建

第 5 步：收凭证（仅当 needs_credential=true）

第 6 步：探活

第 7 步：汇报

3. 红线

Files

Compare with similar skills

Similar skills

More from DemonDamon/AgenticX

Related

Questions about Connector Assistant

第 2 步：一张结构化表单问清楚（只调用一次 `request_clarification`）

第 5 步：收凭证（仅当 `needs_credential=true`）