Explorar skills

Gere arte ASCII animada, visuais tramados e efeitos semelhantes a shaders como componentes React/TSX autocontidos. Ideal para criar fundos ASCII, efeitos de imagem/vídeo tramados, sobreposições CRT/retro, chuva de matriz e outros efeitos visuais baseados em texto/caracteres para a web, com suporte a abordagens generativas.

Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent

Process Gemini chat exports into structured academic history notes following the Four-Step Deep Reading methodology (🟢 Foundation → 🔵 Critique → 🟣 Context → 🔴 Synthesis). Use when (1) Processing Gemini chat history exports, (2) Expanding existing history notes, (3) Creating comprehensive academic notes from historical readings, (4) Structuring research notes with YAML frontmatter, Mermaid visu

Use when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval pipelines for production AI features. Triggers: 'manage prompts in production', 'prompt versioning', 'prompt regression', 'prompt A/B test', 'prompt registry', 'eval pipeline'. NOT for writing or improving individual prompts

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic fe

Sales & partnerships skills from Lenny's Podcast - founder sales, sales team, enterprise, BD

Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmentin

Polish the active feature before review — code polish always; UI normalize + ship-quality pass when UI is touched. Use when the user says "polish this", "finish before review", "ship-quality", "normalize the UI", "bolder", "quieter", "distill", "harden". Not for repo-wide refactors or pre-`/rite-prove` polish.

Full re-pair of a stale airc mesh when identity/pairing state is corrupt. Most monitor recovery should use `airc join` instead.

Gera changelogs e notas de lançamento a partir de commits e tags. Utilize ao lançar uma versão, escrever notas de lançamento ou manter um CHANGELOG.

Gere, edite e componha imagens usando o modelo Gemini 3.1 Flash Image do Google (Nano Banana 2). Esta skill suporta texto para imagem, edição de imagem e composição de múltiplas imagens (até 14), sendo ideal para criar visuais, logotipos, miniaturas e muito mais.

Um kit de ferramentas para estilizar artefatos como slides, documentos e páginas HTML com um tema. Ele oferece 10 temas predefinidos ou a capacidade de gerar novos temas instantaneamente.