qwencloud-text
[QwenCloud] Generate text, have conversations, write code, reason, and call functions with Qwen models. TRIGGER when: user asks to chat with Qwen, generate text, write code with Qwen, use Qwen function calling, or explicitly invokes this skill by name (e.g. use qwencloud-text). DO NOT TRIGGER when: general coding questions without Qwen, non-Qwen AI model usage (OpenAI, Gemini, etc.), image/video understanding (use qwencloud-vision), image/video/audio generation.
What this skill does
> **Agent setup**: If your agent doesn't auto-load skills (e.g. Claude Code),
> see [agent-compatibility.md](references/agent-compatibility.md) once per session.
# Qwen Text Chat (OpenAI-Compatible)
Generate text, conduct conversations, write code, and invoke tools using Qwen models through the OpenAI-compatible API.
This skill is part of **qwencloud/qwencloud-ai**.
## Skill directory
Use this skill's internal files to execute and learn. Load reference files on demand when the default path fails or you
need details.
| Location | Purpose |
|-------------------------------------|-------------------------------------------------------------------------------------|
| `scripts/text.py` | Default execution — chat/completions request, streaming, output save |
| `references/execution-guide.md` | Fallback: curl, Python SDK, function calling, thinking mode |
| `references/api-guide.md` | API supplement and full code examples |
| `references/prompt-guide.md` | Prompt engineering: CO-STAR framework, CoT, few-shot, task steps |
| `references/sources.md` | Official documentation URLs (manual lookup only) |
| `references/agent-compatibility.md` | Agent self-check: register skills in project config for agents that don't auto-load |
## Security
**NEVER output any API key or credential in plaintext.** Always use variable references (`$DASHSCOPE_API_KEY` in shell,
`os.environ["DASHSCOPE_API_KEY"]` in Python). Any check or detection of credentials must be **non-plaintext**: report
only status (e.g. "set" / "not set", "valid" / "invalid"), never the value. Never display contents of `.env` or config
files that may contain secrets.
**When the API key is not configured, NEVER ask the user to provide it directly.** Instead, help create a `.env` file with a placeholder (`DASHSCOPE_API_KEY=sk-your-key-here`) and instruct the user to replace it with their actual key from the [QwenCloud Console](https://home.qwencloud.com/api-keys). Only write the actual key value if the user explicitly requests it.
## Key Compatibility
Scripts require a **standard QwenCloud API key** (`sk-...`). Coding Plan keys (`sk-sp-...`) cannot be used for direct
API calls — they are designed exclusively for interactive coding tools (Cursor, Claude Code, Qwen Code) and do not work
on QwenCloud API endpoints. The script detects `sk-sp-` keys at startup and prints a warning. If qwencloud-ops-auth is installed,
see its `references/codingplan.md` for details on key types, endpoint mapping, and error codes.
## Model Selection
| Model | Use Case |
|--------------------|-------------------------------------------------------------------------|
| `qwen3.6-plus` | **Recommended default** — latest flagship, balanced performance/cost/speed, 1M context, thinking on by default, multimodal (text+image+video) |
| `qwen3.5-plus` | Balanced performance, cost, speed, 1M context, thinking on by default |
| `qwen3.5-flash` | Fast, low-cost, 1M context |
| `qwen3-max` | Strongest capability, built-in tools (web search, code interpreter) |
| `qwen-plus` | General purpose |
| `qwen-turbo` | Cheapest, low latency |
| `qwen3-coder-next` | **Recommended code model** — best balance of quality, speed, cost; agentic coding |
| `qwen3-coder-plus` | Code generation — highest quality for complex tasks |
| `qwen3-coder-flash`| Code generation — fast responses, lower cost |
| `qwq-plus` | Reasoning / chain-of-thought |
| `qwen-mt-plus` | Machine translation — best quality, 92 languages |
| `qwen-mt-flash` | Machine translation — fast, low cost, 92 languages |
| `qwen-mt-lite` | Machine translation — real-time chat, fastest, 31 languages |
| `qwen-plus-character-ja` | Role-playing — recommended for Singapore |
| `qwen-plus-character` | Role-playing — character restoration, empathetic dialog |
| `qwen-flash-character` | Role-playing — fast, lower cost |
1. **User specified a model** → use directly.
2. **Consult the qwencloud-model-selector skill** when model choice depends on requirement, scenario, or pricing.
3. **No signal, clear task** → `qwen3.6-plus` (default).
> Fallback: if model-selector is unavailable, the defaults in the table above apply.
> **⚠️ Important**: The model list above is a **point-in-time snapshot** and may be outdated. Model availability
> changes frequently. **Always check the [official model list](https://www.qwencloud.com/models)
> for the authoritative, up-to-date catalog before making model decisions.**
> **Model details**: For more information about a specific model, direct the user to its detail page: `https://www.qwencloud.com/models/<model-name>` (replace `<model-name>` with the exact model ID, e.g. `qwen3.6-plus` → https://www.qwencloud.com/models/qwen3.6-plus). NEVER modify or guess the model name in the URL.
> **Dynamic model queries**: If the **qwencloud-model-selector** skill or **QwenCloud CLI** (`qwencloud models info <model>`) is available, use it for real-time model data. CLI requires authentication — see the **qwencloud-usage** skill for login flow.
## Execution
### Prerequisites
- **API Key**: Check that `DASHSCOPE_API_KEY` (or `QWEN_API_KEY`) is set using a **non-plaintext** check only (e.g. in shell:
`[ -n "$DASHSCOPE_API_KEY" ]`; report only "set" or "not set", never the key value). If not set: run the *
*qwencloud-ops-auth** skill if available; otherwise guide the user to obtain a key from [QwenCloud Console](https://home.qwencloud.com/api-keys) and set it via `.env` file
(`echo 'DASHSCOPE_API_KEY=sk-your-key-here' >> .env` in project root or current directory) or environment variable.
The script searches for `.env` in the current working directory and the project root. Skills may be installed independently — do
not assume qwencloud-ops-auth is present.
- Python 3.9+ (stdlib only, **no pip install needed** for script execution)
### Environment Check
Before first execution, verify Python is available:
```bash
python3 --version # must be 3.9+
```
If `python3` is not found, try `python --version` or `py -3 --version`. If Python is unavailable or below 3.9, skip to *
*Path 2 (curl)** in [execution-guide.md](references/execution-guide.md).
### Default: Run Script
**Script path**: Scripts are in the `scripts/` subdirectory **of this skill's directory** (the directory containing this
SKILL.md). **You MUST first locate this skill's installation directory, then ALWAYS use the full absolute path to execute
scripts.** Do NOT assume scripts are in the current working directory. Do NOT use `cd` to switch directories before
execution.
**Execution note:** Run all scripts in the **foreground** — wait for stdout; do not background.
**Discovery:** Run `python3 <this-skill-dir>/scripts/text.py --help` first to see all available arguments.
```bash
python3 <this-skill-dir>/scripts/text.py \
--request '{"messages":[{"role":"user","content":"Hello!"}],"model":"qwen3.6-plus"}' \
--output output/qwencloud-text/ --print-response
```
For streaming (recommended for interactive use):
```bash
python3 <this-skill-dir>/scripts/text.py \
--request '{"messages":[{"role":"user","content":"Write a poem about the sea"}],"model":"qwen3.6-plus"}' \
--stream --print-response
```
| Argument Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.