Influencer Discovery
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
Studio de geracao de imagens inteligente — roteamento automatico entre ai-studio-image (fotos humanizadas/influencer) e stability-ai (arte/ ilustracao/edicao).
$ npx skills add sickn33/agentic-awesome-skills --skill image-studio -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills image-studio --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/image-studio .claude/skills/image-studio && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "image-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/image-studio into .claude/skills/image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-studio", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/image-studioType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill image-studio -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills image-studio --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/image-studio .agents/skills/image-studio && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "image-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/image-studio into .agents/skills/image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-studio", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill image-studio -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills image-studio --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/image-studio .cursor/skills/image-studio && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "image-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/image-studio into .cursor/skills/image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-studio", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/image-studio--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill image-studio -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills image-studio --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/image-studio .gemini/skills/image-studio && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "image-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/image-studio into .gemini/skills/image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-studio", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills image-studioInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill image-studio -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/image-studio .github/skills/image-studio && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "image-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/image-studio into .github/skills/image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-studio", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill image-studio -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills image-studio --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/image-studio .opencode/skills/image-studio && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "image-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/image-studio into .opencode/skills/image-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-studio", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
image-studioStudio de geracao de imagens inteligente — roteamento automatico entre ai-studio-image (fotos humanizadas/influencer) e stability-ai (arte/ ilustracao/edicao).
Image Studio is an agent skill from sickn33/agentic-awesome-skills. Studio de geracao de imagens inteligente — roteamento automatico entre ai-studio-image (fotos humanizadas/influencer) e stability-ai (arte/ ilustracao/edicao). Detecta o tipo de imagem solicitada e escolhe o modelo ideal automaticamente.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Influencer and creator marketing. It works with Stable Diffusion. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Image Studio loads about 2.3k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 538 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 538 words, ~2,337 tokens.
.claude/skills/image-studio/SKILL.md (or your agent's skills folder).Studio de geracao de imagens inteligente — roteamento automatico entre ai-studio-image (fotos humanizadas/influencer) e stability-ai (arte/ ilustracao/edicao). Detecta o tipo de imagem solicitada e escolhe o modelo ideal automaticamente. Geracao, edicao, upscale, remocao de fundo, inpainting e geracao de fotos realistas de pessoas em um unico workflow.
Voce e o Diretor Criativo Visual — escolhe o pincel certo para cada obra. Fotos humanizadas com Gemini, arte e edicao com Stability. Um comando, o modelo ideal, o resultado perfeito.
A primeira pergunta e sempre: qual modelo serve melhor?
PEDIDO DO USUARIO
↓
E uma FOTO REALISTA de pessoa/influencer?
↓ SIM: ai-studio-image
↓ NAO → E uma ILUSTRACAO, ARTE ou DESENHO?
↓ SIM: stability-ai (generate/ultra/core)
↓ NAO → E uma EDICAO de imagem existente?
↓ SIM: stability-ai (img2img/inpaint/search-replace/erase)
↓ NAO → E um UPSCALE ou REMOCAO DE FUNDO?
↓ SIM: stability-ai (upscale/remove-bg)
↓ NAO: perguntar mais detalhesEspecialidade: Fotos hiper-realistas de pessoas com toque humano
| Pedido | Exemplo |
|---|---|
| Foto de influencer | "foto estilo instagram de mulher em cafe" |
| Foto de perfil profissional | "headshot profissional homem terno" |
| Foto lifestyle | "pessoa na praia com celular, luz dourada" |
| Conteudo educacional humanizado | "professor ensinando com quadro" |
| Foto produto com pessoa | "mulher segurando smartphone" |
Vantagens:
Limitacoes:
Especialidade: Arte, ilustracao, edicao e manipulacao de imagens
| Pedido | Modo | Exemplo |
|---|---|---|
| Arte/ilustracao | generate | "dragon flying over mountains, fantasy" |
| Maxima qualidade | ultra | "portrait photography, studio lighting" |
| Rapido/iteracao | core | "anime cat kawaii" |
| Transformar imagem | img2img | "transforme em pintura a oleo" |
| Ampliar resolucao | upscale | "aumentar imagem para 4K" |
| Upscale criativo | upscale-creative | "ampliar com detalhes adicionais" |
| Remover fundo | remove-bg | "fundo transparente (PNG)" |
| Editar area | inpaint | "substituir roupa por terno" |
| Substituir objeto | search-replace | "trocar carro vermelho por azul" |
| Apagar objeto | erase | "remover pessoa do fundo" |
15 Estilos: photorealistic, anime, digital-art, oil-painting, watercolor, pixel-art, 3d-render, concept-art, comic, minimalist, fantasy, sci-fi, sketch, pop-art, noir
Limitacoes:
Usuario: "crie uma imagem de X"
1. Analisar: tipo de imagem + objetivo
2. Selecionar: modelo ideal (decision matrix acima)
3. Construir prompt: otimizado para o modelo escolhido
4. Gerar: executar com parametros corretos
5. Apresentar: mostrar resultado + metadados
6. Oferecer: variacoes, ajustes, versao alternativaUsar sistema de templates e prompt engine:
## Template Especifico
python generate.py --template "instagram-lifestyle" --customization "cafe, manha, sorriso"
## Prompt Customizado
python generate.py --prompt "mulher jovem em home office, luz natural, laptop"
## Modo Humanizado Maximo (5 Camadas)
python generate.py --prompt "..." --humanization maximumMapear para modo correto:
## Arte/Ilustracao
python generate.py generate --prompt "..." --style fantasy --aspect-ratio 16:9
## Foto Alta Qualidade
python generate.py ultra --prompt "..." --style photorealistic
## Editar Imagem Existente
python generate.py inpaint --image imagem.jpg --mask mascara.png --prompt "adicionar chapeu"
## Remover Fundo
python generate.py remove-bg --image produto.jpg
## Upscale
python generate.py upscale --image small.jpg --scale 4Estrutura ideal:
[Sujeito principal] + [Acao/pose] + [Ambiente] + [Iluminacao] + [Detalhe humano]
Exemplo:
"jovem mulher brasileira, 25 anos, sorrindo naturalmente,
sentada em cafe moderno, luz natural pela janela,
segurando xicara de cafe, roupa casual chique,
cabelo levemente bagunçado, foco suave no fundo"Evitar:
Estrutura ideal:
[Sujeito] + [Acao] + [Estilo artistico] + [Iluminacao cinematica] +
[Qualidade] + [Artista de referencia] + [Cores]
Exemplo:
"majestic dragon soaring over misty mountains,
digital art style, cinematic lighting,
highly detailed, Greg Rutkowski, vibrant colors,
4k, masterpiece"Negativos uteis:
"blurry, low quality, watermark, text, ugly, deformed,
extra fingers, bad anatomy, worst quality"IMAGE-STUDIO — [tipo de geracao]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎨 Modelo: [ai-studio-image / stability-ai]
📋 Modo: [template / generate / inpaint / etc]
⏱️ Tempo: ~Xs
✅ Imagem gerada!
📁 Salva em: [caminho]
📐 Dimensao: XxY px
💾 Tamanho: X KB
🔧 Prompt usado:
"[prompt otimizado]"
💡 Variacoes disponiveis:
1. stability-ai versao arte
2. ai-studio-image versao humanizada
3. Ajuste de estilo/iluminacaoUsuario: "imagem para post de lancamento do produto Auri"
→ image-studio decide: foto realista de produto com pessoa
→ ai-studio-image: "pessoa segurando dispositivo Alexa,
ambiente moderno, luz natural, expressao animada"
→ Resultado: foto humanizada pronta para InstagramUsuario: "thumbnail para video de IA com impacto"
→ image-studio decide: arte digital de alto impacto
→ stability-ai ultra: "AI robot face, glowing eyes,
dark background, dramatic lighting, digital art, 4k"
→ Resultado: thumbnail atraente e profissionalUsuario: "foto profissional para LinkedIn"
→ image-studio decide: foto realista de pessoa
→ ai-studio-image template "linkedin-headshot":
"homem profissional, terno azul, fundo neutro,
luz de estudio, expressao confiante"
→ Resultado: headshot convincenteSe ai-studio-image falha (limite diario, erro de API):
→ Tentar stability-ai modo ultra com prompt adaptado
→ Informar usuario sobre mudanca de modelo
Se stability-ai falha (créditos insuficientes):
→ Tentar ai-studio-image com prompt adaptado
→ Se mesmo tipo nao suportado: orientar sobre recarga
Se ambos falham:
→ Gerar prompt detalhado que usuario pode usar manualmente
→ Sugerir DALL-E, Midjourney, Leonardo AI como alternativasai-studio-image:
Scripts: C:\Users\renat\skills\ai-studio-image\
Gerar: python generate.py [--template T] [--prompt P]
stability-ai:
Scripts: C:\Users\renat\skills\stability-ai\
Gerar: python generate.py [MODE] --prompt P --style Sai-studio-image - Complementary skill for enhanced analysiscomfyui-gateway - Complementary skill for enhanced analysisstability-ai - Complementary skill for enhanced analysis© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/image-studio of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 1e53ce2
We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Image Studio next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Image Studio this skillsickn33/agentic-awesome-skills | 47k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Influencer Discoverytigerless-labs/influencer-discovery | 211 | — | ~2.5k | Automated safety check: Notes | None | |
| Opencloneteam-attention/openclone | 130 | — | ~2.6k | Automated safety check: Notes | MIT | |
| Reelclaw Adsdansugc/reelclaw | 145 | — | ~3.9k | Automated safety check: Notes | MIT | |
| Audience ResearchScrapeCreators/social-media-research-skills | 3.3k | — | ~635 | Automated safety check: Notes | MIT | |
| Affiliate CheckAffitor/affiliate-skills | 698 | — | ~808 | Automated safety check: Notes | MIT |
tigerless-labs/influencer-discovery
Find the bloggers/creators who can help promote your work, capture their contact info, and append them to the target sheet in Google Sheets.
team-attention/openclone
Create, manage, or talk to an openclone "clone" — a named AI persona with one or more categories (vc, tech, founder, expert, influencer, politician, celebrity) and attached knowledge.
dansugc/reelclaw
Make short-form UGC video ads (TikTok, Reels, Shorts) for the product in the current repo with DansUGC ReelClaw and real human creator reactions from the DansUGC library.
ScrapeCreators/social-media-research-skills
A skill your agent uses when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments…
Affitor/affiliate-skills
Live affiliate program data from openaffiliate.dev. An agent skill from Affitor/affiliate-skills.
vivy-yi/xiaohongshu-skills
A skill your agent uses when monitoring Xiaohongshu marketing campaign performance, tracking promotion effectiveness, analyzing advertising ROI, measuring influencer collaboration results…
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Works with
Categories
Studio de geracao de imagens inteligente — roteamento automatico entre ai-studio-image (fotos humanizadas/influencer) e stability-ai (arte/ ilustracao/edicao). Image Studio is an agent skill from sickn33/agentic-awesome-skills. Studio de geracao de imagens inteligente — roteamento automatico entre ai-studio-image (fotos humanizadas/influencer) e stability-ai (arte/ ilustracao/edicao).
Image Studio fits situations like: tasks that involve Influencer and creator marketing.
Run `npx skills add sickn33/agentic-awesome-skills --skill image-studio -a claude-code`. Or copy the skill folder (skills/image-studio in sickn33/agentic-awesome-skills) into .claude/skills/image-studio in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill image-studio -a codex`. Or copy the skill folder (skills/image-studio in sickn33/agentic-awesome-skills) into .agents/skills/image-studio in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill image-studio -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/image-studio, .gemini/skills/image-studio, .github/skills/image-studio and .opencode/skills/image-studio in your project.
Going by SKILL.md and its folder, Image Studio needs the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Image Studio is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Image Studio: Influencer Discovery (tigerless-labs/influencer-discovery, 211 stars), Openclone (team-attention/openclone, 130 stars), Reelclaw Ads (dansugc/reelclaw, 145 stars) and Audience Research (ScrapeCreators/social-media-research-skills, 3.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.