[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MDGP4FGEMHTJC76M7M61NE":3,"skill-same:01M6MDGP4FGEMHTJC76M7M61NE":74},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":51,"commitSha":52,"skillDirectory":53,"forksCount":54,"repositoryHtmlUrl":55,"repositoryHomepageUrl":56,"ownerHtmlUrl":57,"ownerBlogUrl":58,"ownerDescription":59,"updatedAt":60,"install":61,"resources":73},"01M6MDGP4FGEMHTJC76M7M61NE","muapi-storyboard-to-cooking-video",null,"Turn a single photo of a person into a 15-second cinematic pasta-making (or other cuisine) tutorial video. First builds a composite reference sheet (character + kitchen + 9-step action board), then animates the full cooking sequence with audio in a single continuous shot.","hashgraph-online\u002Fawesome-codex-plugins","hashgraph-online","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160371962?v=4","01M6CNB6NRJVNNGN14TR01Q6D3","HOL (Hashgraph Online)","01M6JT1HSKKG9V68KQAQGBA7XP",1554,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FSamurAIGPT\u002FGenerative-Media-Skills\u002Flibrary\u002Fmotion\u002Fstoryboard-to-cooking-video\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"Video","muapi storyboard","muapi storyboard to cooking video","storyboard","muapi","second","first","single","sequence","person","action","true","with","full","sheet","character","reference","tutorial","board","Audio","2026-11-10 10:12:30",false,"---\nslug: muapi-storyboard-to-cooking-video\nname: muapi-storyboard-to-cooking-video\nversion: \"1.0.0\"\ndescription: Turn a single photo of a person into a 15-second cinematic pasta-making (or other cuisine) tutorial video. First builds a composite reference sheet (character + kitchen + 9-step action board), then animates the full cooking sequence with audio in a single continuous shot.\nacceptLicenseTerms: true\n---\n\n\n# Storyboard to Cooking Video\n\n**Turn a single photo of a person into a polished 15-second cinematic cooking tutorial. The skill first generates a high-end production reference sheet — character look, kitchen environment, and a 9-panel action board — then drives a continuous reference-to-video render that keeps the subject's face, outfit, and kitchen consistent across every frame.**\n\n## Inputs\n\n| Name | Type | Required | Default | Description |\n|:---|:---|:---|:---|:---|\n| `person_image` | image_url | yes | — | URL of the person photo. Used as identity reference in BOTH the reference sheet and the final video. |\n| `dish` | text | no | fresh pasta | The cooking subject (e.g. \"fresh pasta\", \"sushi rolls\", \"wood-fired pizza\", \"matcha latte\"). Drives the 9-step action board. |\n| `kitchen_style` | text | no | warm rustic-modern Italian | The kitchen aesthetic (e.g. \"warm rustic-modern Italian\", \"minimalist Tokyo\", \"bright Scandinavian\", \"moody industrial\"). |\n| `outfit` | text | no | white t-shirt, olive green apron, dark trousers | What the person wears throughout the video. |\n| `duration_seconds` | int | no | 15 | Final video duration. Use 15 for the full 9-step arc; 10 collapses to ~6 beats. |\n| `aspect_ratio` | text | no | 16:9 | Output aspect ratio. Use `9:16` for vertical\u002FReels. |\n| `resolution` | text | no | 720p | Video resolution. Options: `480p`, `720p`. |\n\n\n## Steps\n\nSubmit the plan with TWO sequential steps. Step 2 depends on the output of Step 1.\n\n### Step 1 — Reference Sheet (Composite Storyboard)\n\nGenerate the composite \"production reference board\" image. This is a single image, NOT a video frame — it bundles character sheet + location reference + 9-panel action board.\n\n**Endpoint:** `gpt-image-v2-edit`\n**CLI:**\n\n```bash\nmuapi image edit \\\n  --model gpt-image-v2-edit \\\n  --image \"{{person_image}}\" \\\n  --image-size \"3840x2160\" \\\n  --quality auto \\\n  --background auto \\\n  --moderation low \\\n  --output-format png \\\n  --prompt \"Create one single composite reference sheet for a {{duration_seconds}}-second realistic {{dish}}-making tutorial video. The image should be a clean, high-end production reference board, not a poster with heavy text. Format: {{aspect_ratio}} wide reference sheet, elegant white margins, clean grid layout, realistic cinematic photography style. Concept: {{dish}} tutorial in a {{kitchen_style}} kitchen.\n\nTop row: motion \u002F choreography guide with 9 numbered cinematic action panels showing the {{dish}} process step-by-step from raw ingredients to final plated dish.\n\nMiddle-left: realistic character reference sheet of the uploaded person — preserve their exact face, hair color, hair texture, eye color, skin tone, and all facial features with 100% accuracy. Show the same person in: face close-up, full-body front view, side\u002Faction working pose, and back view. Dress them in {{outfit}}. Keep them grounded, approachable, skilled, and cinematic.\n\nMiddle-right \u002F background: location reference sheet of an elegant {{kitchen_style}} kitchen with tactile surfaces, natural daylight from a large window, hanging cookware, herbs, and premium cooking atmosphere appropriate to the cuisine.\n\nStyle: realistic, cinematic, warm natural light, shallow depth of field, tactile food photography, premium cooking show aesthetic, rich surface textures.\n\nBottom strip: simple visual icons only for {{duration_seconds}} seconds, {{aspect_ratio}}, realistic, cinematic, tasty, natural camera. Minimal text, no dense paragraphs. Let the visuals do the heavy lifting.\"\n```\n\nWait for completion and capture the output URL as `{{reference_sheet_url}}`. Show it to the user and confirm the character likeness + kitchen mood before moving to Step 2 — Step 2 is the expensive call.\n\n### Step 2 — Cooking Video (Reference-to-Video)\n\nAnimate the full sequence using both the original person photo (identity anchor) and the reference sheet (narrative + environment guide) as dual references.\n\n**Endpoint:** `bytedance-seedance-2-0-reference-to-video-fast`\n**CLI:**\n\n```bash\nmuapi video generate \\\n  --model bytedance-seedance-2-0-reference-to-video-fast \\\n  --image \"{{person_image}}\" \\\n  --image \"{{reference_sheet_url}}\" \\\n  --aspect-ratio \"{{aspect_ratio}}\" \\\n  --duration \"{{duration_seconds}}\" \\\n  --resolution \"{{resolution}}\" \\\n  --generate-audio true \\\n  --prompt \"The person in @Image1 is the subject — preserve their exact face, hair, eye color, skin tone, and all facial features with 100% accuracy throughout the entire video.\nUse @Image2 as the visual and narrative guide — follow the cooking steps, kitchen setting, outfit, and atmosphere shown in the reference sheet exactly.\nA single continuous cinematic video of the person from @Image1 making {{dish}} in the {{kitchen_style}} kitchen shown in @Image2. They wear {{outfit}} throughout.\n\nVIDEO STRUCTURE\nFollow the exact 9-step sequence as shown in @Image2, beat by beat, from raw ingredients through preparation to a final plated close-up.\n\nMOTION STYLE\n- Slow, deliberate, satisfying transitions between each step\n- Natural hand and body movement with clear culinary intent\n- Continuous flow with no jump cuts\n- Warm and immersive pacing\n\nCAMERA & CINEMATOGRAPHY\n- Close-up shots for hands during mixing, kneading, cutting, plating\n- Medium shots showing the person working at the counter\n- Pull back slightly for the final plating to reveal the full kitchen\n- Shallow depth of field — focus on hands and food, soft background blur\n- No abrupt cuts — smooth match cuts and fluid transitions\n\nVISUAL STYLE\n- Warm natural daylight from a large kitchen window\n- Rich tactile textures matching @Image2's environment\n- Full color, warm cinematic color grading\n\nCONSISTENCY RULES\n- Same character throughout — face of @Image1 in every frame\n- Same outfit across entire video\n- Same kitchen environment as shown in @Image2\n\nAUDIO\n- Soft kitchen ambience, gentle culinary SFX (chopping, sizzling, pouring), light cinematic underscore\n- No dialogue, no narration\n\nOUTPUT STYLE\n- Duration: exactly {{duration_seconds}} seconds\n- Polished, cinematic, premium cooking show quality\n- Ends with a beautiful close-up of the finished plated {{dish}}\"\n```\n\nAfter generation:\n- Present the final video URL to the user.\n- Offer follow-ups: vertical 9:16 re-render for Reels, a longer 30s extended cut, or swap `{{dish}}` for a different cuisine using the same person image.\n\n## Notes\n\n- **Two-image reference is the whole trick.** `@Image1` locks identity, `@Image2` locks choreography + environment. Never drop one — single-reference runs lose either the face or the kitchen.\n- The reference sheet at Step 1 must be wide (3840x2160). Smaller resolutions blur the 9 action panels and the video model can't read them.\n- `bytedance-seedance-2-0-reference-to-video-fast` natively generates audio when `generate_audio=true`. Always include an audio direction in the prompt; otherwise the soundtrack is random.\n- Real human faces ARE supported here because the person photo is the user's own subject and we route through the reference-to-video endpoint (not the restricted i2v variants).\n- If the user wants a non-cooking sequence (e.g., latte art, plating tutorial, mixology), keep the same two-step structure — only `{{dish}}` and the 9-step description change.\n- For shorter pieces (\u003C= 8s), reduce the action board to 5–6 panels in Step 1; cramming 9 beats into 8s degrades motion quality (single-beat rule).\n\n## Trigger Keywords\n\n`cooking video`, `cooking tutorial`, `pasta video`, `recipe video`, `food video`, `chef video`, `cooking storyboard`, `kitchen tutorial`, `cooking reel`, `tutorial video from photo`, `storyboard to video`\n\n\n---\n\n## Notes for the Executing Agent\n\n- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call `muapi` CLI commands. Use `muapi auth configure` first if `MUAPI_API_KEY` is unset.\n- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https:\u002F\u002Fapi.muapi.ai\u002Fapi\u002Fv1\u002F\u003Cendpoint> -H \"x-api-key: $MUAPI_API_KEY\" -H 'content-type: application\u002Fjson' -d '{...}'` and poll with `muapi predict wait \u003Crequest_id>`.\n- Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.\n- Step 1 must complete and return an output image URL before Step 2 fires — pass that URL as the second `--image` to the video step.\n","# Storyboard to Cooking Video\n\n**Turn a single photo of a person into a polished 15-second cinematic cooking tutorial. The skill first generates a high-end production reference sheet — character look, kitchen environment, and a 9-panel action board — then drives a continuous reference-to-video render that keeps the subject's face, outfit, and kitchen consistent across every frame.**\n\n## Inputs\n\n| Name | Type | Required | Default | Description |\n|:---|:---|:---|:---|:---|\n| `person_image` | image_url | yes | — | URL of the person photo. Used as identity reference in BOTH the reference sheet and the final video. |\n| `dish` | text | no | fresh pasta | The cooking subject (e.g. \"fresh pasta\", \"sushi rolls\", \"wood-fired pizza\", \"matcha latte\"). Drives the 9-step action board. |\n| `kitchen_style` | text | no | warm rustic-modern Italian | The kitchen aesthetic (e.g. \"warm rustic-modern Italian\", \"minimalist Tokyo\", \"bright Scandinavian\", \"moody industrial\"). |\n| `outfit` | text | no | white t-shirt, olive green apron, dark trousers | What the person wears throughout the video. |\n| `duration_seconds` | int | no | 15 | Final video duration. Use 15 for the full 9-step arc; 10 collapses to ~6 beats. |\n| `aspect_ratio` | text | no | 16:9 | Output aspect ratio. Use `9:16` for vertical\u002FReels. |\n| `resolution` | text | no | 720p | Video resolution. Options: `480p`, `720p`. |\n\n\n## Steps\n\nSubmit the plan with TWO sequential steps. Step 2 depends on the output of Step 1.\n\n### Step 1 — Reference Sheet (Composite Storyboard)\n\nGenerate the composite \"production reference board\" image. This is a single image, NOT a video frame — it bundles character sheet + location reference + 9-panel action board.\n\n**Endpoint:** `gpt-image-v2-edit`\n**CLI:**\n\n```bash\nmuapi image edit \\\n  --model gpt-image-v2-edit \\\n  --image \"{{person_image}}\" \\\n  --image-size \"3840x2160\" \\\n  --quality auto \\\n  --background auto \\\n  --moderation low \\\n  --output-format png \\\n  --prompt \"Create one single composite reference sheet for a {{duration_seconds}}-second realistic {{dish}}-making tutorial video. The image should be a clean, high-end production reference board, not a poster with heavy text. Format: {{aspect_ratio}} wide reference sheet, elegant white margins, clean grid layout, realistic cinematic photography style. Concept: {{dish}} tutorial in a {{kitchen_style}} kitchen.\n\nTop row: motion \u002F choreography guide with 9 numbered cinematic action panels showing the {{dish}} process step-by-step from raw ingredients to final plated dish.\n\nMiddle-left: realistic character reference sheet of the uploaded person — preserve their exact face, hair color, hair texture, eye color, skin tone, and all facial features with 100% accuracy. Show the same person in: face close-up, full-body front view, side\u002Faction working pose, and back view. Dress them in {{outfit}}. Keep them grounded, approachable, skilled, and cinematic.\n\nMiddle-right \u002F background: location reference sheet of an elegant {{kitchen_style}} kitchen with tactile surfaces, natural daylight from a large window, hanging cookware, herbs, and premium cooking atmosphere appropriate to the cuisine.\n\nStyle: realistic, cinematic, warm natural light, shallow depth of field, tactile food photography, premium cooking show aesthetic, rich surface textures.\n\nBottom strip: simple visual icons only for {{duration_seconds}} seconds, {{aspect_ratio}}, realistic, cinematic, tasty, natural camera. Minimal text, no dense paragraphs. Let the visuals do the heavy lifting.\"\n```\n\nWait for completion and capture the output URL as `{{reference_sheet_url}}`. Show it to the user and confirm the character likeness + kitchen mood before moving to Step 2 — Step 2 is the expensive call.\n\n### Step 2 — Cooking Video (Reference-to-Video)\n\nAnimate the full sequence using both the original person photo (identity anchor) and the reference sheet (narrative + environment guide) as dual references.\n\n**Endpoint:** `bytedance-seedance-2-0-reference-to-video-fast`\n**CLI:**\n\n```bash\nmuapi video generate \\\n  --model bytedance-seedance-2-0-reference-to-video-fast \\\n  --image \"{{person_image}}\" \\\n  --image \"{{reference_sheet_url}}\" \\\n  --aspect-ratio \"{{aspect_ratio}}\" \\\n  --duration \"{{duration_seconds}}\" \\\n  --resolution \"{{resolution}}\" \\\n  --generate-audio true \\\n  --prompt \"The person in @Image1 is the subject — preserve their exact face, hair, eye color, skin tone, and all facial features with 100% accuracy throughout the entire video.\nUse @Image2 as the visual and narrative guide — follow the cooking steps, kitchen setting, outfit, and atmosphere shown in the reference sheet exactly.\nA single continuous cinematic video of the person from @Image1 making {{dish}} in the {{kitchen_style}} kitchen shown in @Image2. They wear {{outfit}} throughout.\n\nVIDEO STRUCTURE\nFollow the exact 9-step sequence as shown in @Image2, beat by beat, from raw ingredients through preparation to a final plated close-up.\n\nMOTION STYLE\n- Slow, deliberate, satisfying transitions between each step\n- Natural hand and body movement with clear culinary intent\n- Continuous flow with no jump cuts\n- Warm and immersive pacing\n\nCAMERA & CINEMATOGRAPHY\n- Close-up shots for hands during mixing, kneading, cutting, plating\n- Medium shots showing the person working at the counter\n- Pull back slightly for the final plating to reveal the full kitchen\n- Shallow depth of field — focus on hands and food, soft background blur\n- No abrupt cuts — smooth match cuts and fluid transitions\n\nVISUAL STYLE\n- Warm natural daylight from a large kitchen window\n- Rich tactile textures matching @Image2's environment\n- Full color, warm cinematic color grading\n\nCONSISTENCY RULES\n- Same character throughout — face of @Image1 in every frame\n- Same outfit across entire video\n- Same kitchen environment as shown in @Image2\n\nAUDIO\n- Soft kitchen ambience, gentle culinary SFX (chopping, sizzling, pouring), light cinematic underscore\n- No dialogue, no narration\n\nOUTPUT STYLE\n- Duration: exactly {{duration_seconds}} seconds\n- Polished, cinematic, premium cooking show quality\n- Ends with a beautiful close-up of the finished plated {{dish}}\"\n```\n\nAfter generation:\n- Present the final video URL to the user.\n- Offer follow-ups: vertical 9:16 re-render for Reels, a longer 30s extended cut, or swap `{{dish}}` for a different cuisine using the same person image.\n\n## Notes\n\n- **Two-image reference is the whole trick.** `@Image1` locks identity, `@Image2` locks choreography + environment. Never drop one — single-reference runs lose either the face or the kitchen.\n- The reference sheet at Step 1 must be wide (3840x2160). Smaller resolutions blur the 9 action panels and the video model can't read them.\n- `bytedance-seedance-2-0-reference-to-video-fast` natively generates audio when `generate_audio=true`. Always include an audio direction in the prompt; otherwise the soundtrack is random.\n- Real human faces ARE supported here because the person photo is the user's own subject and we route through the reference-to-video endpoint (not the restricted i2v variants).\n- If the user wants a non-cooking sequence (e.g., latte art, plating tutorial, mixology), keep the same two-step structure — only `{{dish}}` and the 9-step description change.\n- For shorter pieces (\u003C= 8s), reduce the action board to 5–6 panels in Step 1; cramming 9 beats into 8s degrades motion quality (single-beat rule).\n\n## Trigger Keywords\n\n`cooking video`, `cooking tutorial`, `pasta video`, `recipe video`, `food video`, `chef video`, `cooking storyboard`, `kitchen tutorial`, `cooking reel`, `tutorial video from photo`, `storyboard to video`\n\n\n---\n\n## Notes for the Executing Agent\n\n- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call `muapi` CLI commands. Use `muapi auth configure` first if `MUAPI_API_KEY` is unset.\n- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https:\u002F\u002Fapi.muapi.ai\u002Fapi\u002Fv1\u002F\u003Cendpoint> -H \"x-api-key: $MUAPI_API_KEY\" -H 'content-type: application\u002Fjson' -d '{...}'` and poll with `muapi predict wait \u003Crequest_id>`.\n- Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.\n- Step 1 must complete and return an output image URL before Step 2 fires — pass that URL as the second `--image` to the video step.\n",{"name":5,"slug":5,"version":49,"description":7,"acceptLicenseTerms":50},"1.0.0",true,"main","2b63f856ce19c2a797929cacabd9e0fc936812fa","plugins\u002FSamurAIGPT\u002FGenerative-Media-Skills\u002Flibrary\u002Fmotion\u002Fstoryboard-to-cooking-video",468,"https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins","https:\u002F\u002Fhol.org\u002Fplugins\u002Fbest-codex-plugins","https:\u002F\u002Fgithub.com\u002Fhashgraph-online","https:\u002F\u002Fhol.org","Open-source standards and developer tools for interoperable AI agents: discovery, identity, communication, payments, privacy and security.","2026-11-11 02:22:54",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":50},[63,66,69],{"tool":64,"command":65},"npx","npx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-storyboard-to-cooking-video",{"tool":67,"command":68},"bunx","bunx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-storyboard-to-cooking-video",{"tool":70,"command":71},"pnpm","pnpm dlx skills add hashgraph-online\u002Fawesome-codex-plugins --skill muapi-storyboard-to-cooking-video","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002FSamurAIGPT\u002FGenerative-Media-Skills\u002Flibrary\u002Fmotion\u002Fstoryboard-to-cooking-video\u002FSKILL.md",[],[75,102,126,155,176,190],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":81,"publishedAt":44},"01M716A6ETNB9B1SQ3GXZC75VR","deja-search","deja-vu memory — search the user's past AI coding sessions with the deja CLI. Holds what they already settled and never wrote into the repo (naming rules, banned or already-tried tools, required checks before merge, preferred values, who owns what). 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Review what was decided, what commands broke and what repaired them, and record durable project rules or decisions with deja remember so the next session starts with them.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fvshulcz\u002Fdeja-vu\u002Fskills\u002Fdeja-reflect\u002FSKILL.md",[],[109,110,111,112,87,113,114,115,116,117,118,119,120,97,36,121,122,123,124,125],"reflect","deja reflect","brew","remember","project rules","project","session","end","reflection","Rules","decisions","review","record","github","next","https","node",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":139,"publishedAt":44},"01M715T3RR4BAYSR57HPPTJ0PF","revid","Make, edit, export and post AI videos with Revid (revid.ai) through the Revid MCP server. Use whenever the user wants a short-form or long-form video made (from an idea, a script, a URL, an article, a PDF, a tweet, a product page, their own clips, or a song), wants to find what is going viral on TikTok, YouTube, Instagram or X before making something, wants to edit or re-export an existing Revid project, generate a standalone AI image or clip, make a series episode, or publish and schedule a finished video to connected social accounts. Covers setup (hosted MCP with OAuth, or an API key), the 36 tools, credits, polling and the rules for publishing. Routes to the more specific revid-* skills when one fits.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Ftmakersas\u002Frevid-skills\u002Fskills\u002Frevid\u002FSKILL.md",[132,135,136],{"categoryNo":133,"categoryName":134,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":137,"categoryName":138,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[128,24,140,141,142,143,114,144,88,145,146,147,148,93,149,150,151,152,153,154],"short-form","standalone","PDF","viral","tiktok","short","social","MCP","song","URL","image","mcp server","schedule","api","publish",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":161,"publishedAt":44},"01M71569ZM2X3H5RBFK8PVKMK2","review-study","Review a QuestionPunk survey before launch for wording, answer choices, branching, and missing settings. Use for check my survey or review this draft before publishing.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Freview-study\u002FSKILL.md",[],[162,163,120,164,165,166,167,168,169,170,171,172,173,174,175],"study","review study","for","answer","missing","survey","publishing","use","check","draft","settings","launch","my","branching",{"skillNo":177,"name":178,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":182,"publishedAt":44},"01M71567GV0C35YQBY0DPGR86B","manage-study","Find QuestionPunk studies, check status, publish an explicitly requested draft, or retrieve its participant link. Use for find my survey, publish this study, or how many people responded.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Fmanage-study\u002FSKILL.md",[],[183,162,184,164,167,169,185,170,171,154,186,187,188,189,174],"manage study","manage","people","how","find","link","status",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":196,"publishedAt":44},"01M71565A8TCA01AZQZRGRYMFZ","create-study","Create a saved QuestionPunk survey draft from a research brief or edit specified questions. Use for requests such as make a customer feedback survey or shorten my onboarding study.","https:\u002F\u002Fgithub.com\u002Fhashgraph-online\u002Fawesome-codex-plugins\u002Fblob\u002Fmain\u002Fplugins\u002Fquestionpunk\u002Fcodex-plugin\u002Fskills\u002Fcreate-study\u002FSKILL.md",[],[197,162,198,199,200,201,164,202,167,203,169,204,205,171,206,207,208,209,210,174],"create study","create","brief","as","feedback","customer feedback","research brief","shorten","saved","research","requests","customer","questions","edit"]