Explorar skills

Uma ferramenta de retrospectiva para lacunas de crescimento pessoal que identifica as principais lacunas em 5 categorias, classificadas por sinais de velocidade de decisão. Cada lacuna é abordada com prompts de pesquisa aprofundada e perguntas de múltipla escolha baseadas na sua base de código, com uma auditoria de ações garantindo o progresso.

Salva notas duráveis da conversa atual do OpenClaw + Telegram na memória de hoje/AAAA-MM-DD.md, com um fluxo de visualização/aplicação de deduplicação semântica e botões de Aplicar/Cancelar em linha. Use para /savenow em sessões com suporte do Telegram.

Structure competitor booth observations from a trade show into a field-intel note and battlecard-ready summary.

Opere um sistema de memória pessoal rápido e confiável usando notas em camadas, entradas diárias estruturadas, disciplina de quadro de tarefas, rastreamento de frequência de palavras-chave, regras de fallback de recuperação e respostas baseadas em evidências. Utilize ao configurar ou manter arquivos de memória, depurar problemas de esquecimento, melhorar a velocidade/precisão da recuperação ou aplicar fluxos de trabalho diários de registro e arquivamento de tarefas.

Autonomous execution loop for TenantFlow. Plans tasks, assigns agents, validates results, self-heals on failure. Use `/run --plan` to generate a plan without executing. Use `/run` to start or resume execution.

Drafts a task file for AI implementation. Triggered when the user writes "create a task", "task from ticket", "draft a task", "prepare an implementation prompt", or passes a ticket URL / feature description.

Explains how to use yoke and lists the available skills; also greets new users. Activated when the user writes "help", "how do I use yoke", "how to use", "what skills are available", "hi", "hello", "where do I start", or on first contact with yoke.

Product management skill — feature prioritisation, roadmap tracking, user feedback synthesis, release notes. Use when tasks involve features, roadmaps, sprints, user feedback, or product decisions.

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

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmologic

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series a

Use when the user asks to create a handoff, session summary, context compact, continuation note, 交接文档, 压缩上下文, or instructions for the next agent to resume work later.