Plugins

5 plugins

Social Media Scraping

Extract structured data from social media platforms via browser automation.

12 skills · plugin

Logo Design and OG Image

Install this pack to design a logo and create matching Open Graph images for social sharing.

4 skills · plugin

Claude GTM Plugin

Go-to-market skills for Claude Code — SEO, content, outbound, sales, growth, analytics, strategy, ads, social, and CRM

54 skills · plugin

@pwdev-solucoes

Pwdev Social Media

Geração de criativos para redes sociais v2.0 — orquestração de APIs (Ideogram, Leonardo, Flux, Runway, Freepik) com trava de gasto, triagem de custo, engenharia de prompt, consistência visual e curadoria; Figma como camada opcional de composição; 19 skills, 4 subagentes

19 skills · plugin

@pwdev-solucoes

Framework de copy genérico e treinável v1.1 — um arquivo de contexto define marca, ICP e voz, e 20 skills cobrem o ciclo completo: pesquisa VOC, brand voice, criação (landing, social, ganchos, reaproveitamento), revisão em 7 sweeps com anti-slop, e camada de análise que fecha o loop; 5 subagentes reais

20 skills · plugin

Results for “social”

11 skills

Paw Cra Design Social

Social post and carousel production pipeline. Use when the user requests to 'create social post', 'design carousel', or 'run social design workflow'.

Adobe Create Social Variations

Resize, crop, or export any image or video into platform-ready social media assets using Adobe Creative Cloud tools.

Phantombuster Automation

Automate lead generation, web scraping, and social media data extraction workflows through PhantomBuster's cloud platform via Composio.

Kiro Social Onboarder

Automates Kiro CLI account onboarding with social Google or GitHub login through an HTTP proxy, including local SQLite auth cleanup, llm-access account import, proxy assignment, balance refresh, and student-tier verification.

Paw Cra Video Clips

Video repurposing pipeline for multi-platform clip extraction. Use when the user requests to 'extract clips', 'repurpose video', 'create clips from video', or 'clip video for social'.

More results

Content Workflow

End-to-end content creation pipeline from research through editorial review to social distribution. Orchestrates a 3-stage workflow: research, draft/edit, and distribute. Supports blog posts, LinkedIn, Twitter threads, newsletters, and essays.

vvieira010-pixel

Contextualisation Skill Builder

Build students' capacity to place historical documents in their temporal and social context. Use when students read sources without considering what was happening at the time, or know the context but don't deploy it.

Content Pipeline

End-to-end content creation workflow that orchestrates research, editorial review, and social distribution agents in sequence. Use when the user wants to create, review, and distribute content through a multi-stage pipeline, or says "/content-pipeline".

Social Science Literature Triage

Use for the search-planning stage of a literature review, when database lanes and language layers must be chosen, when DOI coverage policy is unclear, or when inclusion and exclusion criteria need drafting before any source is read; not for running the screening and PRISMA pipeline of a formal review, which is prisma-scoping-review-pipeline.

When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Also use when the user mentions 'video production,' 'AI video,' 'Remotion,' 'Hyperframes,' 'HeyGen,' 'Synthesia,' 'Veo,' 'Sora,' 'Runway,' 'Kling,' 'Seedance,' 'Hailuo,' 'MiniMax,' 'Pika,' 'Hunyuan,' 'Wan,' 'video generation,' 'AI avatar,' 'talking head video,' 'programmatic video,' 'video template,' 'explainer video,' 'product demo video,' 'video pipeline,' 'copy this edit,' 'match this video style,' 'reverse-engineer this video,' 'edit like this reference,' or 'make me a video.' Use this for video creation, generation, and production workflows. For video content strategy and what to post, see social. For paid video ad creative, see ad-creative.

brycewang-stanford

Full Empirical Analysis Skill

Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest + rdrobust + econml + causalml + matplotlib/seaborn. **Defaults to economics empirical-paper style** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step pipeline an applied economist or quantitative social scientist runs on every paper — (1) data cleaning, (2) variable construction & transformation, (3) descriptive statistics & Table 1, (4) statistical diagnostic tests, (5) baseline empirical modeling, (6) robustness battery, (7) further analysis (mechanism, heterogeneity, mediation, moderation), (8) publication-ready tables & figures. **Also covers two parallel domain modes that share the same 8-step scaf