Приложение Промто · Скиллы
Скилл — это записанный порядок работы: как оформлять посты, каким тоном писать клиентам, что проверять перед публикацией. Один раз объяснили — дальше агент делает так всегда.
СкиллыКаталог
Навык — это готовая инструкция для агента: как делать презентацию, вести рефакторинг, оформлять отчёт. Подключается к задаче в приложении «Скиллы», описания у большинства — авторские, на языке оригинала.
Навык — это папка с инструкцией в markdown: как делать работу, на что смотреть, чего избегать. Свой можно написать прямо в проекте и передать агенту, а чужой — установить по ссылке на репозиторий.
Правила оформления документов, тон писем, порядок ревью — то, что вы каждый раз объясняете заново, записывается навыком один раз и работает во всех задачах проекта.
Показаны 3097–3120 из 5 115
This skill should be used when the user asks to "build background agent", "create hosted coding agent", "set up sandboxed execution", "implement multiplayer agent", or mentions background agents, sandboxed VMs, agent infrastructure, Modal sandboxes, self-spawning agents, or remote coding environments.
muratcankoylan
Исходник →Guide for adding keyboard shortcuts. Use when implementing new hotkeys, registering shortcuts, or working with keyboard interactions. Triggers on hotkey implementation or keyboard shortcut tasks.
lobehub
Исходник →This skill should be used when the user asks to "test for HTML injection", "inject HTML into web pages", "perform HTML injection attacks", "deface web applications", or "test content injection vulnerabilities". It provides comprehensive HTML injection attack techniques and testing methodologies.
davila7
Исходник →Use CloudBase HTTP API to access CloudBase platform features (database, authentication, cloud functions, cloud hosting, cloud storage, AI) via HTTP protocol from backends or scripts that are not using SDKs.
TencentCloudBase
Исходник →Create a PR to bump dependencies or release a new version of the http-client-python package. Use when the user wants to bump TypeSpec/Azure-tools dependencies, update peer dependencies, or release a new version of the Python HTTP client.
microsoft
Исходник →Generates HTTP request examples for Spring Boot Web interfaces according to task specification and saves them as .http files in module-generate.md directories
spring-ai-alibaba
Исходник →Execute http header security audit operations. Auto-activating skill for Security Fundamentals. Triggers on: http header security audit, http header security audit Part of the Security Fundamentals skill category. Use when analyzing or auditing http header security audit. Trigger with phrases like "http header security audit", "http audit", "http".
jeremylongshore
Исходник →Validate https certificate checker operations. Auto-activating skill for Security Fundamentals. Triggers on: https certificate checker, https certificate checker Part of the Security Fundamentals skill category. Use when working with https certificate checker functionality. Trigger with phrases like "https certificate checker", "https checker", "https".
jeremylongshore
Исходник →Configure HUD display options (layout, presets, display elements)
Yeachan-Heo
Исходник →Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
patchy631
Исходник →This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
patchy631
Исходник →This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
patchy631
Исходник →Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API) or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, HF Space syncing, and JSON output for automation.
patchy631
Исходник →Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
davila7
Исходник →Guide for running Hugo static site generator. This skill should be used when users want to test changes.
McShelby
Исходник →Generate query-agnostic analytics that model adversary behavior by translating hunt investigative intent into analytic definitions grounded in schema semantics. This skill is used to define how behavior should manifest in data before query execution or validation, and works best when informed by system internals, adversary tradecraft, a structured hunt focus, and suggested data sources.
OTRF
Исходник →Assemble a complete hunt blueprint by consolidating outputs from prior hunt planning skills into a single, structured plan for execution. Use this skill after system and tradecraft research, hunt focus definition, data source identification, and analytics generation have been completed. This skill is synthesis and packaging only and must not introduce new research, assumptions, or analytics.
OTRF
Исходник →Identify relevant security data sources that could capture the behavior defined in a structured hunt hypothesis. Use this skill after the hunt focus has been defined to translate investigative intent into candidate telemetry sources using existing platform catalogs. This skill supports hunt planning by reasoning over available schemas and metadata before analytics development or query execution.
OTRF
Исходник →Define a focused hunt hypothesis by synthesizing completed system internals and adversary tradecraft research. Use this skill after research has been completed to narrow a high-level hunt topic into a single, concrete attack pattern with clear investigative intent. This skill produces a structured, testable hypothesis and should be used before selecting data sources, defining environment scope, or developing analytics.
OTRF
Исходник →Research system internals and adversary tradecraft to ground a threat hunt in real system behavior and realistic abuse patterns. Use this skill at the start of hunt planning, when you are given a high-level hunt topic but lack a clear understanding of how the system normally operates or how adversaries are known to abuse it. This skill informs early hunt direction by producing candidate abuse patterns, key assumptions, and cited sources, and should be used before defining a concrete hunt hypothesis or selecting data sources.
OTRF
Исходник →Investigate compiler failures, test errors, or unexpected behavior through systematic minimal reproduction, 3-hypothesis testing, and verification. Always re-run builds and tests after changes.
dotnet
Исходник →AWS Identity and Access Management for users, roles, policies, and permissions. Use when creating IAM policies, configuring cross-account access, setting up service roles, troubleshooting permission errors, or managing access control.
itsmostafa
Исходник →Execute iam policy reviewer operations. Auto-activating skill for Security Advanced. Triggers on: iam policy reviewer, iam policy reviewer Part of the Security Advanced skill category. Use when working with iam policy reviewer functionality. Trigger with phrases like "iam policy reviewer", "iam reviewer", "iam".
jeremylongshore
Исходник →Workaround for Claude Code filtering BMP PUA Unicode (U+E000-U+F8FF). Supplementary PUA Nerd Font icons like (U+F0000+, e.g. nf-md-github, nf-md-kubernetes, nf-md-battery) can be written directly. BMP PUA icons (Powerline, Font Awesome, Devicons) require placeholder syntax like {{ U+E0A0 }} or {{ nf-fa-star }} (without spaces), which hooks auto-convert. Invoke when reading or writing Starship configs, tmux themes, shell prompts, or statuslines.
malob
Исходник →Примеры
Нажмите на сам пример, чтобы открыть результат крупно в интерактивном iframe. Кнопка «Использовать пример» перенесёт референс или готовый промпт в Промто.
Что умеет
Один и тот же порядок работы применяется к каждой задаче, а не объясняется заново.
Тон, оформление и правила подачи закрепляются и соблюдаются автоматически.
Скилл живёт в проекте: им пользуются все, кто в нём работает.
Инструкцию можно дополнить или отключить — это обычный текст, а не чёрный ящик.
Обычными словами: что делать, чего избегать, на что смотреть.
Правило закрепляется за проектом.
Агент применяет скилл сам, без напоминаний.
Сценарии
Единый тон во всех текстах — от постов до писем.
Список того, что нужно сверить, чтобы не выпустить ошибку.
Новый человек в проекте получает те же правила, что и агент.
Вопросы
Сообщение действует один раз, скилл — постоянно. Он применяется к каждой новой задаче в проекте.
Несколько: под тексты, под оформление, под проверки. Полезнее держать их короткими и по одному правилу на скилл.
Да, достаточно сказать об этом в задаче — либо временно выключить скилл в приложении.
Приложение работает в браузере: ничего не нужно устанавливать, VPN не требуется, оплата — российскими картами.
