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31.375 skills encontradas

gtex-expression

35

Guide for integrating GTEx tissue expression data with ENCODE regulatory elements. Use when users need to check if a gene is expressed in a tissue, correlate regulatory elements with expression, or validate ENCODE findings against GTEx. Trigger on: GTEx, tissue expression, gene expression levels, expression atlas, eQTL, tissue-specific expression, TPM values.

Dados e Análise #ai #mcp por ammawla

design-polish

35

Final quality pass fixing alignment, spacing, consistency, interaction states, and micro-details before shipping. Executes changes (unlike design-audit and design-critique which are report-only). Triggers on polish, finishing touches, final pass, something looks off, pre-launch, good to great.

Design e Frontend #ai por tdimino

gist-plan

35

GIST planning workflow. Structure goals into ideas, steps, and tasks using Gilad's evidence-guided framework.

Design e Frontend #ai por haabe

cloudflare

35

Cloudflare platform management via Wrangler CLI, Agents SDK (v0.13+), and Browser Rendering API. Deploy Pages, Workers, KV, R2, D1, Queues, Vectorize, Workflows, Hyperdrive. Build stateful AI agents with the full SDK stack — Agent, AIChatAgent, Think, Voice, sub-agents, fibers, HITL, scheduling, observability, Code Mode (Dynamic Worker sandboxes). Budget web scraping via cf_browser.py. Use when de

DevOps e Infra #ai #api por tdimino

epigenome-profiling

35

Build comprehensive epigenomic profiles for tissues or cell types using ENCODE data. Use when the user wants to characterize chromatin states, assemble histone modification panels, create epigenomic landscapes, run ChromHMM segmentation, identify super-enhancers or bivalent domains, profile regulatory elements across a biosample, or understand epigenetic regulation in a specific biological context

Dados e Análise #ai #mcp por ammawla

metrics-detect

35

Detect which external metric sources apply to this product (GitHub, Plausible, Stripe, etc.) and configure adapters. Retrofit entry point for projects that started before v0.14; also runnable to refresh source list when the product grows.

Desenvolvimento #ai #git por haabe

webgpu-threejs-tsl

35

Reference WebGPU APIs, TSL syntax, node materials, WGSL integration, compute shaders, and post-processing in Three.js. For complete particle canvases use threejs-particle-canvas; for GLSL shaders use rocaille-shader. Triggers on TSL shader, WebGPU renderer, node material, WGSL, GPU compute, WebGPU setup.

Automação #ai #api por tdimino

premortem

35

Esta sessão de premortem, um consultor leve que 'abre as cortinas', identifica falhas em um plano de vários ângulos, oferece soluções e ajuda os usuários a tomar decisões rápidas e informadas.

Escrita e Conteúdo #ai por AndyShaman

good_skill

35

Valid frontmatter.

Desenvolvimento #ai por haabe

supabase-skill

35

Configure and manage Supabase projects using MCP (Model Context Protocol). Use this skill when working with Supabase databases, setting up MCP servers, designing database schemas, implementing Row Level Security, managing migrations, or building modern data architectures with PostgreSQL. Essential for Supabase development, database design, and AI-powered database operations.

Dados e Análise #ai #mcp por tdimino

user-needs-map

35

Map user needs independently of solutions using Allen's User Needs Mapping methodology. Identifies underserved needs that feed into the Opportunity Solution Tree.

Desenvolvimento #ai por haabe

new_user_intake

35

Heuristic-candidate fixture: outside curated list but strong user-content signal.

Escrita e Conteúdo #ai por haabe