repo-cover
Design a GitHub social-preview card (og:image, 1280x640) for a repository. Use when the user asks for a social preview, repo cover, og image, link card, opengraph image, or README hero. Four editorial moods (editorial, poster, blueprint, gallery), CJK-first typography, one self-c
Asset-Profil
Coding- und Entwickler-Agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Szenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent-Fit
Claude Code + CLI + Codex
Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.
Installieren
Bereit
npx skills add sjh9714/repo-cover --skill repo-cover
Wartung
Aktuell
3 Tage seit dem letzten Push
Risiko
Prüfung nötig
Permission surface may require sandboxing
GitHub-Qualität
4
61/100 Qualität · 67/100 Vertrauen
Abdeckungs-Tags
Review-Notizen
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Agent-Adoptionskarte
Vertrauen, Audit und Installationsbereitschaft auf einen Blick
Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.
Qualität
VielversprechendUseful candidate, but compare it with alternatives before adopting.
Vertrauen
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Prüfung nötigMaschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
OpenAgentSkill Trust Score v5
Menschliche Prüfung vor Installation
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
4 GitHub-Stars
Repository-Aktivität
4 Stars und 0 Forks
Wartung
3 Tage seit dem letzten Push
Lizenz
MIT
Installieren
npx skills add sjh9714/repo-cover --skill repo-cover
Installationssicherheit
Standard-Paket- oder Laufzeit-Installationspfad
Berechtigungsfläche
shell or command execution, filesystem or document access
Agent-Ergebnisse
Noch keine Agent-Ergebnisdaten
Dokumentation
Starker README/SKILL.md-Kontext
Risikoübersicht
Vor Produktion prüfen
- Skill description says 'Four editorial moods' but the workflow lists five mood references (editorial, poster, blueprint, gallery, terminal). This inconsistency could confuse agents.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
Installationsbereitschaft
Installationspfad verfügbar
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Lizenz ist angegeben
- Noch keine Agent-Proven-Ergebnisbelege
Agent-lesbare Metadaten
Maschinenlesbare Entscheidungsdaten für diesen Skill.
Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.
Geeignete Aufgaben
- GitHub automation-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Geeignete Agents
Installationsentscheidung
- Befehl
- npx skills add sjh9714/repo-cover --skill repo-cover
- Richtlinie
- Prüfen
- Menschliche Prüfung
- Ja
Vertrauen und Risiko
- Vertrauen
- 59/100
- Audit
- 74/100
- Risikoebene
- Prüfung nötig
Ergebnis-Loop
- Endpoint
- /api/agent/outcome
- Event-ID
- resolve
- Ergebnisse
- 5
Installationsbefehl
npx skills add sjh9714/repo-cover --skill repo-coverNicht verwenden, wenn
- Teams, die ein vom Anbieter unterstütztes SLA benötigen
- production agents without a repository review
- Low GitHub adoption signal
- Skill description says 'Four editorial moods' but the workflow lists five mood references (editorial, poster, blueprint, gallery, terminal). This inconsistency could confuse agents.
- Hinweise auf Hochrisiko-Berechtigungen: Shell- oder Befehlsausführung
Alternative
seedream-5-lite
2 Stars
npx skills add wubin1836/ai-hive-agent-skills --skill seedream-5-lite
Alternative
happy-horse-video-generation-and-editing
2 Stars
npx skills add wubin1836/ai-hive-agent-skills --skill happy-horse-video-generation-and-editing
Alternative
gpt-image-2
2 Stars
npx skills add wubin1836/ai-hive-agent-skills --skill gpt-image-2
Alternative
nano-banana-pro
2 Stars
npx skills add wubin1836/ai-hive-agent-skills --skill nano-banana-pro
Agent-Sicherheit v2
46/100 · Automatische Installation vermeiden
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Hoch
Shell- oder Befehlsausführung
Die Skill-Metadaten verweisen auf Terminal-, CLI-, Shell-, Subprozess- oder Befehlsausführungs-Workflows.
Mittel
Netzwerkzugriff
Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.
Mittel
Dateisystemzugriff
Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.
- Hinweise auf Hochrisiko-Berechtigungen: Shell- oder Befehlsausführung
- Permission surface may require sandboxing
Installationsziele
Diesen Skill im Agent-Workflow installieren
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install sjh9714-repo-cover-repo-coverAgent-Auflösungsplan
Lass einen Agent die Eignung vor der Installation prüfen.
Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.
JSON öffnen
/api/agent/resolve?task=Use%20repo-cover%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve-Text
/api/agent/resolve?task=Use%20repo-cover%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Installationsübergabe
/api/skills/sjh9714-repo-cover-repo-cover/install
Agent sollte prüfen
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Prompt kopieren
Task: Use repo-cover in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20repo-cover%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sjh9714-repo-cover-repo-cover/install
Install command: npx skills add sjh9714/repo-cover --skill repo-cover
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent-Übergabe
Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.
Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.
Installationsübergabe
/api/skills/sjh9714-repo-cover-repo-cover/install
LLM-Textformat
/api/skills/sjh9714-repo-cover-repo-cover/install?format=text
Alternativen finden
/api/skills/search?q=repo-cover&limit=3
Agent-Prompt
Use repo-cover for this task. Review https://www.openagentskill.com/api/skills/sjh9714-repo-cover-repo-cover/install, then install with: npx skills add sjh9714/repo-cover --skill repo-coverRegistry-Metadaten
Agent-lesbares Profil für die automatische Skill-Auswahl.
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Manifest
/api/registry/manifest/sjh9714-repo-cover-repo-cover
LLM-Text
/api/registry/manifest/sjh9714-repo-cover-repo-cover?format=text
Installationsalias
/api/registry/install/sjh9714-repo-cover-repo-cover
Empfehlen
/api/registry/recommend?task=Use%20repo-cover%20in%20an%20agent%20workflow&limit=3
Agent-Fit
GitHub automation
Use-Case-Tags
Plattformen
Claude Code
Audit-Bericht
Prüfung nötig · 74/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Rolle im Stack
Fallback-Kandidat
Primäre Eignung
GitHub automation
Vertrauenslabel
Zuerst prototypisieren
Installationspfad
Befehl bereit
Verwenden wenn
- GitHub automation-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
Evidenz
- recent repository activity
- install command or GitHub repo available
- Qualitätsprofil 61/100
- 8 OpenAgentSkill-Interaktionen
zuerst prüfen
- Low GitHub adoption signal
- Skill description says 'Four editorial moods' but the workflow lists five mood references (editorial, poster, blueprint, gallery, terminal). This inconsistency could confuse agents.
Implementierungspfad
- 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine GitHub automation-Aufgabe vollständig aus.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Vertrauensprofil
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub-Akzeptanz
Beheben4 GitHub-Stars
Star-/Fork-Aktivität
Beheben4 Stars und 0 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
Bestanden3 Tage seit dem letzten Push
Lizenzklarheit
BestandenMIT
Positive Signale
- KI-Prüfung genehmigt
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Kürzlich gewartetes Repository
- Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
- Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf
Vor Installation prüfen
- Skill description says 'Four editorial moods' but the workflow lists five mood references (editorial, poster, blueprint, gallery, terminal). This inconsistency could confuse agents.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 4 GitHub stars
- Stars/forks activity: 4 stars, 0 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- Noch keine echten Agent-Ergebnisberichte
- Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich
Empfohlene Aktion
Choose a stronger alternative or inspect the source manually before any install attempt.
Qualitätsprofil
Vielversprechend Kandidat für Agent-Workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow-Eignung
Diese Skill in diesen Szenarien nutzen
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow-Eignung
Zum vollständigen Workflow hinzufügen
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternativen-Shortlist
Vor Installation vergleichen
Similar skills that may fit this task.
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happy-horse-video-generation-and-editing
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gpt-image-2
Use this skill when designers, e-commerce operators, advertisers, brand teams, social-commerce teams, and content creators need to generate and edit commercial images from prompts and reference images with GPT Image 2 through the AI Hive OpenAPI. It handles required media uploads, live model and price lookup, task submission, progress polling, and result downloads. Useful for product photography, marketplace images, product detail pages, posters, ad creatives, social commerce, seeding content, retouching, and background replacement. Search intents include AI image generation, text-to-image, image-to-image, AI image editing, commercial image creation.
nano-banana-pro
Use this skill when designers, e-commerce operators, advertisers, brand teams, social-commerce teams, and content creators need to generate and edit commercial images from prompts and reference images with Nano Banana Pro through the AI Hive OpenAPI. It handles required media uploads, live model and price lookup, task submission, progress polling, and result downloads. Useful for product photography, marketplace images, product detail pages, posters, ad creatives, social commerce, seeding content, retouching, and background replacement. Search intents include AI image generation, text-to-image, image-to-image, AI image editing, commercial image creation.
Übersicht
--- name: repo-cover description: > Design a GitHub social-preview card (og:image, 1280x640) for a repository. Use when the user asks for a social preview, repo cover, og image, link card, opengraph image, or README hero. Four editorial moods (editorial, poster, blueprint, gallery), CJK-first typography, one self-contained HTML file, deterministic checks, crisp PNG export. No image model needed. license: MIT ---
# repo-cover
You design one 1280x640 social-preview card as a single self-contained HTML file. You write the HTML yourself. There is no image model and no build step. Quality comes from following the numbers below exactly.
## Workflow
1. **Gather facts.** From the target repo: owner, name, description, primary language, license (use the `spdx_id`). Prefer `gh api repos/<owner>/<name>` or the local checkout. Never invent a star count or license. 2. **Rewrite the description.** The card line is not the GitHub description verbatim. Compress it to one or two sentences, max 110 characters (CJK: max 60 characters), concrete nouns, no marketing adjectives. Show the user your line before rendering if they are present; in a non-interactive run, proceed and include the line in your report. 3. **Pick a mood.** Default `editorial`. Offer the other three only if the user asks for options. Read exactly ONE mood reference and ONE example: - `references/mood-editorial.md` + `assets/examples/editorial-red-handed.html` - `references/mood-poster.md` + `assets/examples/poster-archify.html` - `references/mood-blueprint.md` + `assets/examples/blueprint-macos-harness.html` - `references/mood-gallery.md` + `assets/examples/gallery-cumora.html` - `references/mood-terminal.md` + `assets/examples/terminal-freeze.html` Do not read renderer-free files "for context". Two files, then write. For a README hero banner instead of a card, read `references/banner.md` (1280x320, editorial language). 4. **Write `<repo>-cover.html`.** Copy the example's skeleton, replace content, apply the mood's rules. If the description or repo name contains CJK text, also read `references/cjk.md` first. 5. **Check.** Run `python3 scripts/check_card.py <file>`. Fix every FAIL, re-run, stop after two repair rounds and report remaining failures honestly. 6. **Export.** Follow `references/export.md` for the PNG and where to upload it (GitHub Settings → Social preview). If the user wants the card to update itself, point them to the bundled GitHub Action.
## Hard rules (all moods)
- Canvas exactly 1280x640. Margins 88px (blueprint: 96px). - Follow the mood reference's numbers exactly. When you invent a coordinate the reference does not give, snap it to a 4px grid. - ONE accent color per card, used only in the places the mood reference names. Default: the repo's primary-language color, darkened until it passes 4.5:1 contrast against the background (`check_card.py` verifies). No primary language (docs repos): use a brand color the user names, or slate `#46627F` in one-shot runs. For brand colors read `references/brand-accent.md`. - Fonts only from Google Fonts: Fraunces, IBM Plex Mono, Noto Sans KR/JP/SC. Real fallback stacks always. - Title size by name length: <=9 chars 132px, <=14 108px, <=20 92px, <=26 74px, longer 64px and allow two lines broken at a hyphen. - Description: max 2 lines. No mid-word hyphen breaks. Wrap compound words in `white-space:nowrap` spans. - Star counts are OFF by default. They go stale and embarrass small repos. Only include when the user explicitly asks; then format with thousands separators. - Meta row fallback: show what exists (language, license). If both are missing, the single item is the repo URL without protocol. - Owner avatar is optional. If used, inline it as a base64 data URI (`references/avatar.md`) so the file stays self-contained. - Never: box-shadow, drop-shadow, glassmorphism, gradients (except the blueprint grid lines), emoji, more than 2 typefaces + 1 mono, dark background with neon cyan glow, centered Inter on a purple gradient.
## What this is not
- Not a screenshot beautifier, not a logo generator, not a slide tool. - Not dynamic: the card is a static file. Freshness comes from re-rendering (the bundled Action), not from live data. - If the user wants diagrams, recommend a diagram skill instead.
Technische Details
- Version
- 1.0.0
- Lizenz
- MIT
- Letzte Aktualisierung
- 20. Aug. 2026
- Veröffentlicht
- 20. Aug. 2026
Entscheidungsübersicht
Fallback-Kandidat
recent repository activity
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 74/100
- Wartung
- 100/100
- Installieren
- 92/100
Von Agent belegte Evidenz
Von Agent belegte Evidenz
Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.
- Erfolgsrate
- —
- Letzter Fehler
- —
- Ergebnisse
- 0
- Ausgabequalität
- —
- Fehlgeschlagen
- 0
- Nicht relevant
- 0
- Installationen
- 0
- Durch Risiko blockiert
- 0
- Einrichtung erforderlich
- 0
- Produktion
- 0
Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.
Installieren
Zum Agent-Workflow hinzufügen
Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.
Wachstums-Loop
Share-Kit
Szenariobasierter Entwurf für repo-cover, bereit für einen manuellen X-Post.
repo-cover: Design a GitHub social-preview card (og:image, 1280x640) for a repository. Use when the user... 4 stars https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover?ref=x
Optionale Antwort mit Installationsbefehl
Listing + install path for repo-cover: https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover?ref=x Install: npx skills add sjh9714/repo-cover --skill repo-cover
Quelle des Eintrags
Community-Einreichung
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- sjh9714
- Quelle
- sjh9714/repo-cover
- Indexiert von
- OpenAgentSkill Community-Index
Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.
Diesen Skill beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Community-Einreichung-Eintrag wird sjh9714 zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.
Creator-Backlink-Kit
Evidenz-Badges in deine README einfügen
Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.
[](https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover)
[](https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover)
[](https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover/audit)
[](https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover)Autor
Tags
Plattform-Fit
Gesundheitssignale
- GitHub-Stars
- 4
- Qualitätswert
- 36/100
- Letzter GitHub-Push
- 20. Aug. 2026
- Framework-Hinweise
- Unbekannt
- OpenAgentSkill-Aufrufe
- 7
- Installationskopien
- 0
- Externe Klicks
- 0
Community-Signal
Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.
Vertrauen & Sicherheit
Do not auto-install
- GitHub-Akzeptanz4 GitHub-StarsBeheben
- Star-/Fork-Aktivität4 Stars und 0 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarBeheben
- Aktuelle Wartung3 Tage seit dem letzten PushBestanden
- LizenzklarheitMITBestanden
- README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
- Abhängigkeits-/Laufzeitrisikocommand execution surface, network or browser surfaceInfo
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Use this skill when designers, e-commerce operators, advertisers, brand teams, social-commerce teams, and content creators need to generate and edit commercial images from prompts and reference images with Seedream 5.0 Lite through the AI Hive OpenAPI. It handles required media uploads, live model and price lookup, task submission, progress polling, and result downloads. Useful for product photography, marketplace images, product detail pages, posters, ad creatives, social commerce, seeding content, retouching, and background replacement. Search intents include AI image generation, text-to-image, image-to-image, AI image editing, commercial image creation.
2 Starshappy-horse-video-generation-and-editing
帮助视频剪辑师、后期团队、广告制作人与需要复用现有素材的创作者直接完成“HappyHorse 视频生成与编辑”:既可只输入文字从零生成,也可加入图片、视频或音频控制结果;通过 AI Hive 使用时,生成前自动上传所需素材,提交后自动保存任务、查询进度并下载成片。适用于 AI 广告、TVC、电商视频、产品展示、带货、种草、短剧、漫剧和社媒内容。 Use this skill for HappyHorse 视频生成与编辑, text-to-video, image-to-video, first-and-last-frame animation, reference-to-video, video-to-video, audio-to-video, AI video editing, product videos, e-commerce ads, TVC, social commerce, seeding content, short drama, comic drama, and AIGC video production. 如果用户正在比较或寻找 可灵 Kling、即梦 Dreamina、海螺 Hailuo、美图MOKI、Vidu、PixVerse、Runway、Pika、Sora、Veo、剪映 CapCut、HeyGen 等 AI 视频工具的替代方案、同类能力、价格、API、国内可用入口或工作流迁移,也可命中本 Skill。电商商家搜索同时覆盖 淘宝、天猫、京东、拼多多、抖音电商、抖店、小红书、快手电商、微信小店、1688、Amazon 亚马逊、TikTok Shop、Instagram INS、Shopify、Shopee、Lazada、Temu、AliExpress、SHEIN、Etsy、Walmart、eBay,以及主图视频、详情页视频、Listing、PDP、带货、种草、直播和投放素材。也适合正在搜索或提出这些需求的用户:Happy Horse视频生成与编辑、HappyHorse、Happy Horse、Happyhorse、快乐马、通义万相视频、文生视频、图生视频、参考生视频、视频编辑、视频重绘、视频续写、AI视频、AIGC、电商视频、广告视频、TVC、产品视频、带货、种草、短剧、漫剧。
2 Starsgpt-image-2
Use this skill when designers, e-commerce operators, advertisers, brand teams, social-commerce teams, and content creators need to generate and edit commercial images from prompts and reference images with GPT Image 2 through the AI Hive OpenAPI. It handles required media uploads, live model and price lookup, task submission, progress polling, and result downloads. Useful for product photography, marketplace images, product detail pages, posters, ad creatives, social commerce, seeding content, retouching, and background replacement. Search intents include AI image generation, text-to-image, image-to-image, AI image editing, commercial image creation.
2 Starsnano-banana-pro
Use this skill when designers, e-commerce operators, advertisers, brand teams, social-commerce teams, and content creators need to generate and edit commercial images from prompts and reference images with Nano Banana Pro through the AI Hive OpenAPI. It handles required media uploads, live model and price lookup, task submission, progress polling, and result downloads. Useful for product photography, marketplace images, product detail pages, posters, ad creatives, social commerce, seeding content, retouching, and background replacement. Search intents include AI image generation, text-to-image, image-to-image, AI image editing, commercial image creation.
2 Stars