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 4993–5016 из 5 115
Execute integrate Sentry with observability stack. Use when connecting Sentry to logging, metrics, APM tools, or building unified observability dashboards. Trigger with phrases like "sentry observability", "sentry logging integration", "sentry metrics", "sentry datadog integration".
jeremylongshore
Исходник →Optimize Sentry performance monitoring configuration. Use when tuning sample rates, reducing overhead, or improving performance data quality. Trigger with phrases like "sentry performance optimize", "tune sentry tracing", "sentry overhead", "improve sentry performance".
jeremylongshore
Исходник →Implement governance and policy guardrails for Sentry. Use when enforcing organizational standards, compliance rules, or standardizing Sentry usage across teams. Trigger with phrases like "sentry governance", "sentry standards", "sentry policy", "enforce sentry configuration".
jeremylongshore
Исходник →Manage best-practice Sentry architecture patterns. Use when designing Sentry integration architecture, structuring projects, or planning enterprise rollout. Trigger with phrases like "sentry architecture", "sentry best practices", "design sentry integration", "sentry project structure".
jeremylongshore
Исходник →Build reliable Sentry integrations. Use when handling SDK failures gracefully, implementing retry logic, or ensuring error tracking uptime. Trigger with phrases like "sentry reliability", "sentry failover", "sentry sdk failure handling", "resilient sentry setup".
jeremylongshore
Исходник →Configure Sentry security settings and data protection. Use when setting up data scrubbing, managing sensitive data, or configuring security policies. Trigger with phrases like "sentry security", "sentry PII", "sentry data scrubbing", "secure sentry".
jeremylongshore
Исходник →Expert service mesh architect specializing in Istio, Linkerd, and cloud-native networking patterns. Masters traffic management, security policies, observability integration, and multi-cluster mesh con
sickn33
Исходник →Use when orchestrating workflows that generate multiple files (designs, reviews, reports) to prevent file collisions across concurrent or sequential sessions with unique session directories.
MadAppGang
Исходник →Use this skill when creating database schemas or tables for Timescale, TimescaleDB, TigerData, or Tiger Cloud, especially for time-series, IoT, metrics, events, or log data. Use this to improve the performance of any insert-heavy table. **Trigger when user asks to:** - Create or design SQL schemas/tables AND Timescale/TimescaleDB/TigerData/Tiger Cloud is available - Set up hypertables, compression, retention policies, or continuous aggregates - Configure partition columns, segment_by, order_by, or chunk intervals - Optimize time-series database performance or storage - Create tables for sensors, metrics, telemetry, events, or transaction logs **Keywords:** CREATE TABLE, hypertable, Timescale, TimescaleDB, time-series, IoT, metrics, sensor data, compression policy, continuous aggregates, columnstore, retention policy, chunk interval, segment_by, order_by Step-by-step instructions for hypertable creation, column selection, compression policies, retention, continuous aggregates, and indexes.
timescale
Исходник →Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, logistics, or any system where entities interact with shared resources over time.
davila7
Исходник →Guide Claude through SCSA, MetaTiME, CellVote, CellMatch, GPTAnno, and weighted KNN transfer workflows for annotating single-cell modalities.
Starlitnightly
Исходник →Quick-reference sheet for OmicVerse tutorials spanning MOFA, GLUE pairing, SIMBA integration, TOSICA transfer, and StaVIA cartography.
Starlitnightly
Исходник →"What it does + when to use (activation triggers)."
2025Emma
Исходник →Configure sns topic config operations. Auto-activating skill for AWS Skills. Triggers on: sns topic config, sns topic config Part of the AWS Skills skill category. Use when configuring systems or services. Trigger with phrases like "sns topic config", "sns config", "sns".
jeremylongshore
Исходник →Create runbooks, playbooks, and technical documentation for engineering teams. Use when the user wants to document a process, create a runbook, build operational docs, or formalize any repeatable technical procedure. Triggers on requests like "create a runbook for...", "document this process", "write a playbook", or any technical documentation request.
coleam00
Исходник →Configure Speak CI/CD integration with GitHub Actions and automated testing. Use when setting up automated testing, configuring CI pipelines, or integrating Speak language learning tests into your build process. Trigger with phrases like "speak CI", "speak GitHub Actions", "speak automated tests", "CI speak".
jeremylongshore
Исходник →Diagnose and fix Speak common errors and exceptions. Use when encountering Speak errors, debugging failed sessions, or troubleshooting language learning integration issues. Trigger with phrases like "speak error", "fix speak", "speak not working", "debug speak", "speak lesson failed".
jeremylongshore
Исходник →Execute Speak primary workflow: AI Conversation Practice with real-time feedback. Use when implementing conversation practice features, building AI tutor interactions, or core language learning dialogue systems. Trigger with phrases like "speak conversation practice", "speak AI tutor", "speak dialogue", "primary speak workflow".
jeremylongshore
Исходник →Implement Speak PII handling, audio data retention, and GDPR/CCPA compliance patterns. Use when handling user learning data, implementing audio retention policies, or ensuring privacy compliance for language learning applications. Trigger with phrases like "speak data", "speak PII", "speak GDPR", "speak data retention", "speak privacy", "speak audio privacy".
jeremylongshore
Исходник →Collect Speak debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Speak problems. Trigger with phrases like "speak debug", "speak support bundle", "collect speak logs", "speak diagnostic".
jeremylongshore
Исходник →Create a minimal working Speak language learning example. Use when starting a new Speak integration, testing your setup, or learning basic Speak API patterns for language tutoring. Trigger with phrases like "speak hello world", "speak example", "speak quick start", "simple speak lesson".
jeremylongshore
Исходник →Set up comprehensive observability for Speak integrations with metrics, traces, and alerts. Use when implementing monitoring for Speak operations, setting up dashboards, or configuring alerting for language learning feature health. Trigger with phrases like "speak monitoring", "speak metrics", "speak observability", "monitor speak", "speak alerts", "speak tracing".
jeremylongshore
Исходник →Apply production-ready Speak SDK patterns for TypeScript and Python. Use when implementing Speak integrations, refactoring SDK usage, or establishing team coding standards for language learning features. Trigger with phrases like "speak SDK patterns", "speak best practices", "speak code patterns", "idiomatic speak".
jeremylongshore
Исходник →Accelerate LLM inference using speculative decoding, Medusa multiple heads, and lookahead decoding techniques. Use when optimizing inference speed (1.5-3.6× speedup), reducing latency for real-time applications, or deploying models with limited compute. Covers draft models, tree-based attention, Jacobi iteration, parallel token generation, and production deployment strategies.
davila7
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.
