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mcp/skillhub

Agent Skill

Add Wechat skill

add-wechatnanocoai/nanoclaw.claude/skills/add-wechat/SKILL.md

Add WeChat (personal) channel integration via Tencent's official iLink Bot API. Uses long-polling and QR scan — no webhook, no ToS risk, no paid token.

31kMIT

always on

42 tokname + description

once used

1,824 tokSKILL.md body

bundled files

21 scripts

repo stars

31kGitHub

Install the Add Wechat skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/nanocoai/nanoclaw --skill add-wechat

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/nanocoai/nanoclaw.git /tmp/nanoclaw
mkdir -p ~/.claude/skills
cp -R /tmp/nanoclaw/.claude/skills/add-wechat ~/.claude/skills/add-wechat

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description42 tok
When the agent uses itThe SKILL.md instructions1,824 tok
Only if opened2 bundled files (9 KB)varies

Until it is used, add-wechat costs about 32× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 64 skills from nanocoai/nanoclaw would load 3,369 tokens of descriptions. Skills vs MCP study

Checks

  • Ships scripts the agent can run. Read them before installing.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Add WeChat Channel
  • Prerequisites
  • Install
  • 1. Copy the adapter and its registration test
  • 2. Append the self-registration import
  • 3. Install the library (pinned)
  • 4. Build and validate
  • Credentials
  • 1. Enable the channel
  • 2. Start the service and scan the QR
  • Wire your first DM
  • 1. Trigger the first inbound message
  • 2. Run the wire script
  • 3. Test
  • Operational notes
  • Next Steps
  • Channel Info

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    Add clidash — a zero-dependency, read-only web dashboard that derives its tabs and tables at runtime from any CLI that lists resources as JSON. Ships pre-wired for NanoClaw's ncl CLI (agent groups, sessions, channels, users, roles), plus message-activity charts, a log tail, and a read-only file viewer for group skills/CLAUDE.md/profiles.

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    Use Codex (OpenAI's codex app-server) as a full agent provider — planning, tool orchestration, MCP tools, server-side history, session resume — alongside or instead of Claude. ChatGPT subscription or OpenAI API key, vault-only via the selected gateway. Per-group via `ncl groups config update --provider codex`. Distinct from using OpenAI as an MCP tool (where Claude remains the planner).

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    Use Cursor (local Agent SDK) as a full agent provider — planning, tool orchestration, MCP tools, session resume — alongside or instead of Claude. Cursor-account sign-in or API key, held by the credential gateway. Per-group via `ncl groups config update --provider cursor`. Distinct from using Cursor as a cloud agent (those run on Cursor VMs and are not this provider).

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    Add a monitoring dashboard to NanoClaw. Installs @nanoco/nanoclaw-dashboard and a pusher that sends periodic JSON snapshots.

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  7. add-deltachatnanocoai/nanoclaw

    Add DeltaChat channel integration via @deltachat/stdio-rpc-server. Native adapter — no Chat SDK bridge. Email-based messaging with end-to-end encryption.

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    Add Dial channel integration — a real phone number for SMS and AI voice calls via the Dial platform (getdial.ai). Native adapter — no Chat SDK bridge.

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