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Get Started Free →Text-to-Speech service using Doubao (Volcano Engine) API with 200+ voices, interactive voice selection, and multilingual support
.claude/skills/doubao-open-tts/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-19 | ✗→✓ | ▲ Improved | — | — |
| case-11 | ✗→✓ | ▲ Improved | — | — |
| case-21 | ✗→✓ | ▲ Improved | — | — |
| case-09 | ✗→✓ | ▲ Improved | — | — |
| case-07 | ✗→✓ | ▲ Improved | — | — |
Text-to-Speech (TTS) service using Doubao (Volcano Engine) API V1 interface to convert text into natural-sounding speech.
重要提示: 当检测到没有API配置时,Agent必须立即停止并询问用户是否配置API,不允许直接使用默认音色生成音频,除非用户明确坚持使用默认音色。
When using this SKILL, the Agent should follow this workflow:
First, check if API credentials are configured:
pythonfrom scripts.tts import check_api_config, setup_api_config # Check if API is configured config = check_api_config() if not config: # API not configured, MUST stop and ask user # DO NOT proceed with default voice print("⚠️ API credentials not found. Cannot proceed without API configuration.") # ... ask user for credentials or if they want to use default
如果API凭证缺失,Agent必须停止并询问用户: 用户可以选择配置API,或者明确坚持使用默认音色(仅当用户明确要求时才允许)。
Agent: I need API credentials to use the Doubao TTS service.
Please provide the following information:
1. App ID (APPID)
2. Access Token
3. Secret Key
You can get these from: https://console.volcengine.com/
Please enter your App ID:
User: 4269953601
Agent: Please enter your Access Token:
User: uAGE3iP8nJf3ewu-d6U1P6Jthv7i1DH7
Agent: Please enter your Secret Key:
User: Dfta36aYgcdqY-ylHoh9FQyqiERS5iTv
Agent: [Saves credentials to .env file]
✅ API configuration saved successfully!用户选择: 如果用户不想配置API但坚持使用默认音色:
User: 我不想配置API,就用默认音色吧
Agent: ⚠️ 确认使用默认音色吗?这将使用内置的默认音色生成音频。
输入 'yes' 确认使用默认音色,或提供API凭证以获得更好的体验。
User: yes
Agent: [继续执行,使用默认音色]After API is configured OR user explicitly confirmed to use default voice:
pythonfrom scripts.tts import VolcanoTTS tts = VolcanoTTS() output = tts.synthesize("Hello world", output_file="output.mp3")
check_api_config()Checks if API credentials are available. Returns config dict or None.
pythonfrom scripts.tts import check_api_config config = check_api_config() if config: print(f"App ID: {config['app_id']}") print(f"Access Token: {config['access_token'][:10]}...") print(f"Secret Key: {config['secret_key'][:10]}...") else: print("API not configured")
setup_api_config(app_id, access_token, secret_key, voice_type=None)Saves API credentials to the .env file in the SKILL directory.
pythonfrom scripts.tts import setup_api_config # Save credentials setup_api_config( app_id="4269953601", access_token="uAGE3iP8nJf3ewu-d6U1P6Jthv7i1DH7", secret_key="Dfta36aYgcdqY-ylHoh9FQyqiERS5iTv", voice_type="zh_female_cancan_mars_bigtts" # optional ) print("✅ Configuration saved to .env file")
pythonfrom scripts.tts import check_api_config, setup_api_config, VolcanoTTS def synthesize_with_auto_config(text, output_file="output.mp3", use_default_voice=False): """ Synthesize speech with automatic API configuration. IMPORTANT: If API is not configured, this function will STOP and ask user. It will NOT automatically use default voice unless user explicitly confirms. """ # Step 1: Check if API is configured config = check_api_config() if not config: # Step 2: STOP and ask user - DO NOT proceed automatically print("🔐 API Configuration Required") print("=" * 50) print("\n⚠️ No API credentials found. You have two options:") print("\nOption 1: Configure API (Recommended)") print(" Please visit https://console.volcengine.com/ to get your credentials") print("\nOption 2: Use Default Voice") print(" ⚠️ Only available if you explicitly confirm") # Ask user what they want to do choice = input("\nEnter '1' to configure API, or '2' to use default voice: ").strip() if choice == '1': # Configure API print("\nRequired information:") app_id = input("1. Enter your App ID: ").strip() access_token = input("2. Enter your Access Token: ").strip() secret_key = input("3. Enter your Secret Key: ").strip() # Optional: ask for preferred voice print("\n🎙️ Optional: Select a default voice (press Enter to use Shiny)") voice_type = input("Voice type (or voice name): ").strip() # Save configuration setup_api_config(app_id, access_token, secret_key, voice_type or None) print("\n✅ Configuration saved!") elif choice == '2': # User explicitly chose to use default voice confirm = input("\n⚠️ Are you sure you want to use the default voice? (yes/no): ").strip().lower() if confirm != 'yes': print("❌ Cancelled. Please configure API to proceed.") return None use_default_voice = True print("\n⚠️ Using default voice as requested...") else: print("❌ Invalid choice. Please configure API to proceed.") return None # Step 3: Use the service if use_default_voice: # Use default voice (only when user explicitly confirmed) tts = VolcanoTTS(use_default=True) else: tts = VolcanoTTS() output_path = tts.synthesize(text, output_file=output_file) return output_path # Use it output = synthesize_with_auto_config("Hello, this is a test") if output: print(f"Audio saved to: {output}") else: print("Operation cancelled - API configuration required")
bashcd skills/volcano-tts pip install -r requirements.txt
bashexport VOLCANO_TTS_APPID="your_app_id" export VOLCANO_TTS_ACCESS_TOKEN="your_access_token" export VOLCANO_TTS_SECRET_KEY="your_secret_key" export VOLCANO_TTS_VOICE_TYPE="zh_female_cancan_mars_bigtts" # Optional: set default voice
Copy .env.example to .env and fill in your credentials:
bashcp .env.example .env # Edit the .env file with your credentials
bash# Basic usage (uses default voice: Shiny) python scripts/tts.py "Hello, this is a test of Doubao text-to-speech service" # Specify output file and format python scripts/tts.py "Welcome to use TTS" -o output.mp3 -e mp3 # Read text from file python scripts/tts.py -f input.txt -o output.mp3 # Adjust parameters python scripts/tts.py "Custom voice" --speed 1.2 --volume 0.8 -v zh_female_cancan_mars_bigtts # List all available voices python scripts/tts.py --list-voices # List voices by category python scripts/tts.py --list-voices --category "General-Multilingual" # Use different cluster python scripts/tts.py "Hello" --cluster volcano_tts # Enable debug mode python scripts/tts.py "Test" --debug
pythonfrom scripts.tts import VolcanoTTS, VOICE_TYPES, VOICE_CATEGORIES # Initialize client tts = VolcanoTTS( app_id="your_app_id", access_token="your_access_token", secret_key="your_secret_key", voice_type="zh_female_cancan_mars_bigtts" # Optional: set default voice ) # List available voices print("All voices:", tts.list_voices()) print("General voices:", tts.list_voices("General-Normal")) # Change voice tts.set_voice("zh_male_xudong_conversation_wvae_bigtts") # Set to "Happy Xiaodong" # Synthesize speech output_path = tts.synthesize( text="Hello, this is Doubao text-to-speech", voice_type="zh_female_cancan_mars_bigtts", # Optional: override default encoding="mp3", cluster="volcano_tts", speed=1.0, volume=1.0, output_file="output.mp3" ) print(f"Audio saved to: {output_path}")
The SKILL supports interactive voice selection workflow for Agent-User collaboration:
重要: 在使用以下代码之前,必须先检查API配置。如果没有配置,必须停止并询问用户。
pythonfrom scripts.tts import ( get_voice_selection_prompt, find_voice_by_name, get_voice_info, check_api_config, VolcanoTTS ) # Step 0: Check API configuration FIRST config = check_api_config() if not config: print("⚠️ API credentials not found. Please configure API first.") print("Visit: https://console.volcengine.com/") # STOP here and ask user to configure API # DO NOT proceed with voice selection until API is configured # OR user explicitly confirms to use default voice # Step 1: Get the selection prompt to show user prompt = get_voice_selection_prompt() print(prompt) # Agent displays this to user and waits for response # Step 2: User responds with their choice (e.g., "Shiny" or "灿灿") user_input = "Shiny" # This comes from user # Step 3: Find the voice_type from user input voice_type, voice_name = find_voice_by_name(user_input) if voice_type: print(f"Selected voice: {voice_name} ({voice_type})") # Get detailed info info = get_voice_info(voice_type) print(f"Category: {info['category_display']}") # Step 4: Use the voice to synthesize (API already verified) tts = VolcanoTTS( app_id="your_app_id", access_token="your_access_token", secret_key="your_secret_key" ) output_path = tts.synthesize( text="Hello, this is the selected voice", voice_type=voice_type, output_file="output.mp3" ) print(f"Audio saved to: {output_path}") else: print("Voice not found. Please select a valid voice.") # DO NOT automatically use default - ask user instead
Agent: 🎙️ Please select a voice for text-to-speech synthesis:
Here are our recommended voices by category:
[General - Normal]
• 灿灿/Shiny [DEFAULT] (Chinese) -> voice_type: zh_female_cancan_mars_bigtts
• 快乐小东 (Chinese) -> voice_type: zh_male_xudong_conversation_wvae_bigtts
• 亲切女声 (Chinese) -> voice_type: zh_female_qinqienvsheng_moon_bigtts
[Roleplay]
• 纯真少女 (Chinese) -> voice_type: ICL_zh_female_chunzhenshaonv_e588402fb8ad_tob
• 霸道总裁 (Chinese) -> voice_type: ICL_zh_male_badaozongcai_v1_tob
• 撒娇男友 (Chinese) -> voice_type: ICL_zh_male_sajiaonanyou_tob
[Video Dubbing]
• 猴哥 (Chinese) -> voice_type: zh_male_sunwukong_mars_bigtts
• 熊二 (Chinese) -> voice_type: zh_male_xionger_mars_bigtts
• 佩奇猪 (Chinese) -> voice_type: zh_female_peiqi_mars_bigtts
💡 Tips:
• You can say the voice name (e.g., 'Shiny', '猴哥', '霸道总裁')
• Or provide the voice_type directly
• Type 'list all' to see all 200+ available voices
• Press Enter to use the default voice (Shiny) - **only if API is configured**
⚠️ **Note**: Voice selection requires API credentials. If not configured, you must configure API first or explicitly confirm to use default voice.
Which voice would you like to use?
User: I want to use 猴哥
Agent: [Calls skill with voice_type="zh_male_sunwukong_mars_bigtts"]
✅ Generated audio with voice: 猴哥The find_voice_by_name() function supports:
zh_female_cancan_mars_bigtts灿灿, 猴哥, 霸道总裁Shiny, Skye, Alvin灿灿 matches 灿灿/Shiny| Parameter | Description | Default | Options | |-----------|-------------|---------|---------| | voice_type | Voice type | zh_female_cancan_mars_bigtts | See voice list below | | encoding | Audio format | mp3 | mp3, pcm, wav | | sample_rate | Sample rate | 24000 | 8000, 16000, 24000 | | speed | Speech speed | 1.0 | 0.5 - 2.0 | | volume | Volume level | 1.0 | 0.5 - 2.0 | | cluster | Cluster name | volcano_tts | volcano_tts |
Supported emotions: happy, sad, angry, surprised, fear, hate, excited, coldness, neutral, depressed, lovey-dovey, shy, comfort, tension, tender, storytelling, radio, magnetic, advertising, vocal-fry, ASMR, news, entertainment, dialect
| voice_type | Voice Name | Language | |------------|------------|----------| | zh_male_lengkugege_emo_v2_mars_bigtts | Cold Brother (Emotion) | Chinese | | zh_female_tianxinxiaomei_emo_v2_mars_bigtts | Sweet Xiaomei (Emotion) | Chinese | | zh_female_gaolengyujie_emo_v2_mars_bigtts | Cold Lady (Emotion) | Chinese | | zh_male_aojiaobazong_emo_v2_mars_bigtts | Proud CEO (Emotion) | Chinese | | zh_male_guangzhoudege_emo_mars_bigtts | Guangzhou Brother (Emotion) | Chinese | | zh_male_jingqiangkanye_emo_mars_bigtts | Beijing Style (Emotion) | Chinese | | zh_female_linjuayi_emo_v2_mars_bigtts | Neighbor Aunt (Emotion) | Chinese | | zh_male_yourougongzi_emo_v2_mars_bigtts | Gentleman (Emotion) | Chinese | | zh_male_ruyayichen_emo_v2_mars_bigtts | Elegant Boyfriend (Emotion) | Chinese | | zh_male_junlangnanyou_emo_v2_mars_bigtts | Handsome Boyfriend (Emotion) | Chinese | | zh_male_beijingxiaoye_emo_v2_mars_bigtts | Beijing Guy (Emotion) | Chinese | | zh_female_roumeinvyou_emo_v2_mars_bigtts | Gentle Girlfriend (Emotion) | Chinese | | zh_male_yangguangqingnian_emo_v2_mars_bigtts | Sunshine Youth (Emotion) | Chinese | | zh_female_meilinvyou_emo_v2_mars_bigtts | Charming Girlfriend (Emotion) | Chinese | | zh_female_shuangkuaisisi_emo_v2_mars_bigtts | Cheerful Sisi (Emotion) | Chinese/American English | | en_female_candice_emo_v2_mars_bigtts | Candice (Emotion) | American English | | en_female_skye_emo_v2_mars_bigtts | Serena (Emotion) | American English | | en_male_glen_emo_v2_mars_bigtts | Glen (Emotion) | American English | | en_male_sylus_emo_v2_mars_bigtts | Sylus (Emotion) | American English | | en_male_corey_emo_v2_mars_bigtts | Corey (Emotion) | British English | | en_female_nadia_tips_emo_v2_mars_bigtts | Nadia (Emotion) | British English | | zh_male_shenyeboke_emo_v2_mars_bigtts | Late Night Podcast (Emotion) | Chinese |
| voice_type | Voice Name | Language | |------------|------------|----------| | zh_female_cancan_mars_bigtts | Shiny (灿灿) ⭐Default | Chinese/American English | | zh_female_qinqienvsheng_moon_bigtts | Friendly Female | Chinese | | zh_male_xudong_conversation_wvae_bigtts | Happy Xiaodong | Chinese | | zh_female_shuangkuaisisi_moon_bigtts | Cheerful Sisi/Skye | Chinese/American English | | zh_male_wennuanahu_moon_bigtts | Warm Ahu/Alvin | Chinese/American English | | zh_male_yangguangqingnian_moon_bigtts | Sunshine Youth | Chinese | | zh_female_linjianvhai_moon_bigtts | Girl Next Door | Chinese | | zh_male_yuanboxiaoshu_moon_bigtts | Knowledgeable Uncle | Chinese | | zh_female_gaolengyujie_moon_bigtts | Cold Lady | Chinese | | zh_male_aojiaobazong_moon_bigtts | Proud CEO | Chinese | | zh_female_meilinvyou_moon_bigtts | Charming Girlfriend | Chinese | | zh_male_shenyeboke_moon_bigtts | Late Night Podcast | Chinese | | zh_male_dongfanghaoran_moon_bigtts | Oriental Haoran | Chinese |
| voice_type | Voice Name | Language | |------------|------------|----------| | ICL_zh_female_chunzhenshaonv_e588402fb8ad_tob | Innocent Girl | Chinese | | ICL_zh_male_xiaonaigou_edf58cf28b8b_tob | Cute Boy | Chinese | | ICL_zh_female_jinglingxiangdao_1beb294a9e3e_tob | Elf Guide | Chinese | | ICL_zh_male_menyoupingxiaoge_ffed9fc2fee7_tob | Silent Guy | Chinese | | ICL_zh_male_anrenqinzhu_cd62e63dcdab_tob | Dark Lord | Chinese | | ICL_zh_male_badaozongcai_v1_tob | Dominant CEO | Chinese | | ICL_zh_male_bingruogongzi_tob | Sickly Gentleman | Chinese | | ICL_zh_female_bingjiao3_tob | Evil Queen | Chinese | | ICL_zh_male_shuanglangshaonian_tob | Cheerful Youth | Chinese | | ICL_zh_male_sajiaonanyou_tob | Clingy Boyfriend | Chinese | | ICL_zh_male_wenrounanyou_tob | Gentle Boyfriend | Chinese | | ICL_zh_male_tiancaitongzhuo_tob | Genius Deskmate | Chinese | | ICL_zh_male_bingjiaoshaonian_tob | Yandere Youth | Chinese | | ICL_zh_male_bingjiaonanyou_tob | Yandere Boyfriend | Chinese | | ICL_zh_male_bingruoshaonian_tob | Sickly Youth | Chinese | | ICL_zh_male_bingjiaogege_tob | Yandere Brother | Chinese | | ICL_zh_female_bingjiaojiejie_tob | Yandere Sister | Chinese | | ICL_zh_male_bingjiaodidi_tob | Yandere Brother (Young) | Chinese | | ICL_zh_female_bingruoshaonv_tob | Sickly Girl | Chinese | | ICL_zh_female_bingjiaomengmei_tob | Yandere Cute Girl | Chinese | | ICL_zh_male_bingjiaobailian_tob | Yandere White Lotus | Chinese |
| voice_type | Voice Name | Language | |------------|------------|----------| | zh_male_M100_conversation_wvae_bigtts | Gentleman | Chinese | | zh_female_maomao_conversation_wvae_bigtts | Quiet Maomao | Chinese | | zh_male_tiancaitongsheng_mars_bigtts | Child Prodigy | Chinese | | zh_male_sunwukong_mars_bigtts | Monkey King | Chinese | | zh_male_xionger_mars_bigtts | Bear Two | Chinese | | zh_female_peiqi_mars_bigtts | Peppa Pig | Chinese | | zh_female_wuzetian_mars_bigtts | Empress Wu | Chinese | | zh_female_yingtaowanzi_mars_bigtts | Cherry Maruko | Chinese | | zh_male_silang_mars_bigtts | Silang | Chinese | | zh_male_jieshuonansheng_mars_bigtts | Narrator/Morgan | Chinese/American English |
| voice_type | Voice Name | Language | |------------|------------|----------| | zh_male_changtianyi_mars_bigtts | Mystery Narrator | Chinese | | zh_male_ruyaqingnian_mars_bigtts | Elegant Youth | Chinese | | zh_male_baqiqingshu_mars_bigtts | Dominant Uncle | Chinese | | zh_male_qingcang_mars_bigtts | Qingcang | Chinese | | zh_female_gufengshaoyu_mars_bigtts | Ancient Style Lady | Chinese | | zh_female_wenroushunv_mars_bigtts | Gentle Lady | Chinese |
| voice_type | Voice Name | Language | |------------|------------|----------| | en_female_lauren_moon_bigtts | Lauren | American English | | en_male_michael_moon_bigtts | Michael | American English | | en_male_bruce_moon_bigtts | Bruce | American English | | en_female_emily_mars_bigtts | Emily | British English | | en_male_smith_mars_bigtts | Smith | British English | | en_female_anna_mars_bigtts | Anna | British English |
| voice_type | Voice Name | Language | |------------|------------|----------| | zh_male_hupunan_mars_bigtts | Shanghai Male | Chinese | | zh_male_lubanqihao_mars_bigtts | Luban No.7 | Chinese | | zh_female_yangmi_mars_bigtts | Lin Xiao | Chinese | | zh_female_linzhiling_mars_bigtts | Sister Lingling | Chinese | | zh_female_jiyejizi2_mars_bigtts | Kasukabe Sister | Chinese | | zh_male_tangseng_mars_bigtts | Tang Monk | Chinese | | zh_male_zhuangzhou_mars_bigtts | Zhuang Zhou | Chinese | | zh_male_zhubajie_mars_bigtts | Zhu Bajie | Chinese | | zh_female_ganmaodianyin_mars_bigtts | Sick Electronic Sister | Chinese | | zh_female_naying_mars_bigtts | Frank Ying | Chinese | | zh_female_leidian_mars_bigtts | Female Thor | Chinese |
| voice_type | Voice Name | Language | |------------|------------|----------| | zh_female_yueyunv_mars_bigtts | Cantonese Girl | Chinese | | zh_male_yuzhouzixuan_moon_bigtts | Henan Boy | Chinese-Henan Accent | | zh_female_daimengchuanmei_moon_bigtts | Sichuan Girl | Chinese-Sichuan Accent | | zh_male_guangxiyuanzhou_moon_bigtts | Guangxi Boy | Chinese-Guangxi Accent | | zh_male_zhoujielun_emo_v2_mars_bigtts | Nunchaku Guy | Chinese-Taiwan Accent | | zh_female_wanwanxiaohe_moon_bigtts | Taiwan Xiaohe | Chinese-Taiwan Accent | | zh_female_wanqudashu_moon_bigtts | Bay Area Uncle | Chinese-Guangdong Accent | | zh_male_guozhoudege_moon_bigtts | Guangzhou Brother | Chinese-Guangdong Accent | | zh_male_haoyuxiaoge_moon_bigtts | Qingdao Boy | Chinese-Qingdao Accent | | zh_male_beijingxiaoye_moon_bigtts | Beijing Guy | Chinese-Beijing Accent | | zh_male_jingqiangkanye_moon_bigtts | Beijing Style/Harmony | Chinese-Beijing/American English | | zh_female_meituojieer_moon_bigtts | Changsha Girl | Chinese-Changsha Accent |
| voice_type | Voice Name | Language | |------------|------------|----------| | ICL_zh_female_lixingyuanzi_cs_tob | Rational Yuanzi | Chinese | | ICL_zh_female_qingtiantaotao_cs_tob | Sweet Taotao | Chinese | | ICL_zh_female_qingxixiaoxue_cs_tob | Clear Xiaoxue | Chinese | | ICL_zh_female_qingtianmeimei_cs_tob | Sweet Meimei | Chinese | | ICL_zh_female_kailangtingting_cs_tob | Cheerful Tingting | Chinese | | ICL_zh_male_qingxinmumu_cs_tob | Fresh Mumu | Chinese | | ICL_zh_male_shuanglangxiaoyang_cs_tob | Cheerful Xiaoyang | Chinese | | ICL_zh_male_qingxinbobo_cs_tob | Fresh Bobo | Chinese | | ICL_zh_female_wenwanshanshan_cs_tob | Gentle Shanshan | Chinese | | ICL_zh_female_tianmeixiaoyu_cs_tob | Sweet Xiaoyu | Chinese | | ICL_zh_female_reqingaina_cs_tob | Enthusiastic Aina | Chinese | | ICL_zh_female_tianmeixiaoju_cs_tob | Sweet Xiaoju | Chinese | | ICL_zh_male_chenwenmingzai_cs_tob | Steady Mingzai | Chinese | | ICL_zh_male_qinqiexiaozhuo_cs_tob | Friendly Xiaozhuo | Chinese | | ICL_zh_female_lingdongxinxin_cs_tob | Lively Xinxin | Chinese | | ICL_zh_female_guaiqiaokeer_cs_tob | Good Keer | Chinese | | ICL_zh_female_nuanxinqianqian_cs_tob | Warm Qianqian | Chinese | | ICL_zh_female_ruanmengtuanzi_cs_tob | Soft Tuanzi | Chinese | | ICL_zh_male_yangguangyangyang_cs_tob | Sunny Yangyang | Chinese | | ICL_zh_female_ruanmengtangtang_cs_tob | Soft Tangtang | Chinese | | ICL_zh_female_xiuliqianqian_cs_tob | Beautiful Qianqian | Chinese | | ICL_zh_female_kaixinxiaohong_cs_tob | Happy Xiaohong | Chinese | | ICL_zh_female_qingyingduoduo_cs_tob | Light Duoduo | Chinese | | zh_female_kefunvsheng_mars_bigtts | Warm Female | Chinese |
> Tip: Use python scripts/tts.py --list-voices to see the complete voice list
Cause: Account lacks TTS service permission
Solution:
Cause: Authentication information error
Solution:
Cause: Voice type or cluster name error
Solution:
Run test script to try multiple configurations:
bashpython scripts/test_tts.py
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-08 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-19 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-18 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-11 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-06 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-21 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-13 | pass→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-05 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-09 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-07 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-01 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-14 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-12 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-10 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-20 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-23 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-15 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
case-17 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-22 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-03 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-02 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-16 | fail→pass | — | — | — | — | — | — | — | — | — | — | — | — |
case-04 | fail→fail | — | — | — | — | — | — | — | — | — | — | — | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 22 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +57 percentage points is the difference between those two pass rates over the 22 comparable cases.
The per-case answers from this run were removed by the retention sweep, so the case table below shows the verdicts without the text either arm produced. The counts above were recorded at the time and are unaffected. Answers are now kept for 180 days.
Other measured skills in the registry, with their headline benchmark lift.