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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.
108 lines
3.7 KiB
Markdown
108 lines
3.7 KiB
Markdown
---
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name: yuanbao
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description: "Yuanbao (元宝) groups: @mention users, query info/members."
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version: 1.0.0
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [yuanbao, mention, at, group, members, 元宝, 派, 艾特]
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related_skills: []
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---
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# Yuanbao Group Interaction
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## CRITICAL: How Messaging Works
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**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.
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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.
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**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.**
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## Available Tools
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| Tool | When to use |
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|------|------------|
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| `yb_query_group_info` | Query group name, owner, member count |
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| `yb_query_group_members` | Find a user, list bots, list all members, or get nickname for @mention |
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| `yb_send_dm` | Send a private/direct message (DM / 私信) to a user, with optional media files |
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## @Mention Workflow
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When you need to @mention / 艾特 someone:
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1. Call `yb_query_group_members` with `action="find"`, `name="<target name>"`, `mention=true`
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2. Get the exact nickname from the response
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3. Include `@nickname` in your reply text — the gateway handles the rest
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Example: user says "帮我艾特元宝"
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Step 1 — tool call:
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```json
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{ "group_code": "328306697", "action": "find", "name": "元宝", "mention": true }
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```
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Step 2 — your reply (this gets sent to the group with a working @mention):
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```
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@元宝 你好,有人找你!
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```
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**That's it.** No extra explanation needed. Keep it short and natural.
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**Rules:**
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- Call `yb_query_group_members` first to get the exact nickname — do NOT guess
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- The @mention format: `@nickname` with a space before the @ sign
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- Your reply text IS the message — it WILL be sent and the @mention WILL work
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- Be concise. Do NOT explain how @mention works to the user.
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## Send DM (Private Message) Workflow
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When someone asks to send a private message / 私信 / DM to a user:
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1. Call `yb_send_dm` with `group_code`, `name` (target user's name), and `message`
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2. The tool automatically finds the user and sends the DM
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3. Report the result to the user
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Example: user says "给 @用户aea3 私信发一个 hello"
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```json
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yb_send_dm({ "group_code": "535168412", "name": "用户aea3", "message": "hello" })
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```
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Example with media: user says "给 @用户aea3 私信发一张图片"
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```json
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yb_send_dm({
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"group_code": "535168412",
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"name": "用户aea3",
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"message": "Here is the image",
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"media_files": [{"path": "/tmp/photo.jpg"}]
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})
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```
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**Rules:**
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- Extract `group_code` from the current chat_id (e.g. `group:535168412` → `535168412`)
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- If you already know the user_id, pass it directly via the `user_id` parameter to skip lookup
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- If multiple users match the name, the tool returns candidates — ask the user to clarify
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- Do NOT use `send_message` tool for Yuanbao DMs — use `yb_send_dm` instead
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- Supports media: images (.jpg/.png/.gif/.webp/.bmp) sent as image messages, other files as documents
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## Query Group Info
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```json
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yb_query_group_info({ "group_code": "328306697" })
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```
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## Query Members
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| Action | Description |
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|--------|-------------|
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| `find` | Search by name (partial match, case-insensitive) |
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| `list_bots` | List bots and Yuanbao AI assistants |
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| `list_all` | List all members |
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## Notes
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- `group_code` comes from chat_id: `group:328306697` → `328306697`
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- Groups are called "派 (Pai)" in the Yuanbao app
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- Member roles: `user`, `yuanbao_ai`, `bot`
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