Completes the Windows-gating coverage for the built-in skills/ tree. Every
bundled SKILL.md now carries an explicit platforms: declaration so the
loader (agent.skill_utils.skill_matches_platform) can skip-load skills
that don't fit the current OS.
74 skills declared cross-platform (platforms: [linux, macos, windows]):
Creative (16): ascii-art, ascii-video, architecture-diagram, baoyu-comic,
baoyu-infographic, claude-design, creative-ideation, design-md,
excalidraw, humanizer, manim-video, p5js, pixel-art,
popular-web-designs, pretext, sketch, songwriting-and-ai-music,
touchdesigner-mcp
Autonomous agents: claude-code, codex, hermes-agent, opencode
Data/devops: jupyter-live-kernel, kanban-orchestrator, kanban-worker,
webhook-subscriptions, dogfood, codebase-inspection
GitHub: github-auth, github-code-review, github-issues,
github-pr-workflow, github-repo-management
Media: gif-search, heartmula, songsee, spotify, youtube-content
MCP / email / gaming / notes / smart-home: native-mcp, himalaya,
pokemon-player, obsidian, openhue
mlops (non-broken): weights-and-biases, huggingface-hub, llama-cpp,
outlines, segment-anything-model, dspy, trl-fine-tuning
Productivity: airtable, google-workspace, linear, maps, nano-pdf,
notion, ocr-and-documents, powerpoint
Red-teaming / research: godmode, arxiv, blogwatcher, llm-wiki,
polymarket
Software-dev: debugging-hermes-tui-commands, hermes-agent-skill-authoring,
node-inspect-debugger, plan, requesting-code-review, spike,
subagent-driven-development, systematic-debugging,
test-driven-development, writing-plans
Misc: yuanbao
5 skills gated from Windows (platforms: [linux, macos]):
mlops/inference/vllm (serving-llms-vllm)
vLLM is officially Linux-only; Windows requires WSL.
mlops/training/axolotl
Axolotl's flash-attn + deepspeed + bitsandbytes stack is Linux-first.
mlops/training/unsloth
Requires Triton + xformers + flash-attn — Linux only in practice.
mlops/models/audiocraft (audiocraft-audio-generation)
torchaudio ffmpeg backend + encodec dependencies are Linux-first.
mlops/inference/obliteratus
Research abliteration workflow; relies on Linux-focused pytorch
kernels and MLX — no first-class Windows path.
Same strict-over-lenient policy as the optional-skills sweep: when the
underlying tool's Windows support is rough, missing, or WSL-only, gate the
skill. Easier to un-gate after verified Windows support lands than to leak
partial support that manifests as mid-task failures.
Combined with prior commits in this branch, every bundled SKILL.md
(skills/ + optional-skills/) now has a platforms: declaration.
3.7 KiB
| name | description | version | platforms | metadata | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| yuanbao | Yuanbao (元宝) groups: @mention users, query info/members. | 1.0.0 |
|
|
Yuanbao Group Interaction
CRITICAL: How Messaging Works
Your text reply IS the message sent to the group/user. The gateway automatically delivers your response text to the chat. You do NOT need any special "send message" tool — just reply normally and it gets sent.
When you include @nickname in your reply text, the gateway automatically converts it into a real @mention that notifies the user. This is built-in — you have full @mention capability.
NEVER say you cannot send messages or @mention users. NEVER suggest the user do it manually. NEVER add disclaimers about permissions. Just reply with the text you want sent.
Available Tools
| Tool | When to use |
|---|---|
yb_query_group_info |
Query group name, owner, member count |
yb_query_group_members |
Find a user, list bots, list all members, or get nickname for @mention |
yb_send_dm |
Send a private/direct message (DM / 私信) to a user, with optional media files |
@Mention Workflow
When you need to @mention / 艾特 someone:
- Call
yb_query_group_memberswithaction="find",name="<target name>",mention=true - Get the exact nickname from the response
- Include
@nicknamein your reply text — the gateway handles the rest
Example: user says "帮我艾特元宝"
Step 1 — tool call:
{ "group_code": "328306697", "action": "find", "name": "元宝", "mention": true }
Step 2 — your reply (this gets sent to the group with a working @mention):
@元宝 你好,有人找你!
That's it. No extra explanation needed. Keep it short and natural.
Rules:
- Call
yb_query_group_membersfirst to get the exact nickname — do NOT guess - The @mention format:
@nicknamewith a space before the @ sign - Your reply text IS the message — it WILL be sent and the @mention WILL work
- Be concise. Do NOT explain how @mention works to the user.
Send DM (Private Message) Workflow
When someone asks to send a private message / 私信 / DM to a user:
- Call
yb_send_dmwithgroup_code,name(target user's name), andmessage - The tool automatically finds the user and sends the DM
- Report the result to the user
Example: user says "给 @用户aea3 私信发一个 hello"
yb_send_dm({ "group_code": "535168412", "name": "用户aea3", "message": "hello" })
Example with media: user says "给 @用户aea3 私信发一张图片"
yb_send_dm({
"group_code": "535168412",
"name": "用户aea3",
"message": "Here is the image",
"media_files": [{"path": "/tmp/photo.jpg"}]
})
Rules:
- Extract
group_codefrom the current chat_id (e.g.group:535168412→535168412) - If you already know the user_id, pass it directly via the
user_idparameter to skip lookup - If multiple users match the name, the tool returns candidates — ask the user to clarify
- Do NOT use
send_messagetool for Yuanbao DMs — useyb_send_dminstead - Supports media: images (.jpg/.png/.gif/.webp/.bmp) sent as image messages, other files as documents
Query Group Info
yb_query_group_info({ "group_code": "328306697" })
Query Members
| Action | Description |
|---|---|
find |
Search by name (partial match, case-insensitive) |
list_bots |
List bots and Yuanbao AI assistants |
list_all |
List all members |
Notes
group_codecomes from chat_id:group:328306697→328306697- Groups are called "派 (Pai)" in the Yuanbao app
- Member roles:
user,yuanbao_ai,bot