Containerize an ASP.NET Core project by creating Dockerfile and .dockerfile files customized for the project.
Contenerizar un servidor MCP basado en R con Docker, incluyendo configuración de dependencias, puertos de red, y optimización de imagen.
Use when when deploying containerized versions of a multi-variant application (e.g., CLI, development, Linux, and Windows flavors) and you need to verify that each built image…
Containerizes applications with Docker, docker-compose, and Helm charts. Use when creating Dockerfiles, docker-compose configurations, or Helm charts for Kubernetes.
Run and manage containers, build images on macOS. Use when the user asks about containers, Dockerfiles, compose files,
Containerschiff: Gläubiger sichert Anspruch an Containerlinienfrachtschiff durch dinglichen Arrest (ZPO §§ 916-945); Registervermerk (SchRegO § 67); Vollziehungsfrist 1 Monat.
Automate Contentful Graphql tasks via Rube MCP (Composio). Always search tools first for current schemas. — from engineering/backend
Comprehensive Contentful SDK guide for TypeScript/JavaScript. Covers Management SDK (CMA) for content/schema management, Delivery SDK (CDA) for fetching content, and App Framework…
Establish comprehensive understanding of project structure, architecture, dependencies, and current state before conducting detailed code review. Use as the.
Portfolio analytics, metrics calculation, performance tracking, and dashboard data. Use when working with analytics code, files, or integration.
Audit and incrementally retrofit an existing codebase so its intent and behavior are equally legible to people and AI agents.
Use when filling in knowledge-layer context files — auth-model, tenant-boundaries, data-sensitivity, deployment-order, observability — interactive walkthrough that turns templates…
Build, repair, or maintain a concise project context base that lets fresh AI-agent sessions understand a repository quickly and accurately.
Supabase PostgreSQL schema management, 86+ migrations, RLS policies, and type generation. Handles table creation, schema changes, migrations, foreign key constraints, and…
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent…
Use when designing, auditing, refactoring, measuring, or validating token-efficient context and prompt/output contracts.
Break project context into a dependency graph of focused markdown files. Each agent reads only what its task requires — never a monolith dump.
Apply context-driven testing principles where practices are chosen based on project context, not universal 'best practices'.
Apply context-driven testing principles where practices are chosen based on project context, not universal 'best practices'.
Diagnose context stuffing vs. context engineering. Use when an AI workflow feels bloated, brittle, or hard to steer reliably.
Principles for designing context-efficient AI agents and tools. Use when designing LLM tools, agents, MCP servers, or multi-agent systems.
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems.
Advanced 2026 context curation patterns (Nvidia Eureka, Context Hygiene, RLMF) for autonomous agents.
Entry point for context engineering work. Routes to the right skill based on what the user needs — creating instructions, debugging agent failures, building documentation, or…
Plan the context, artifacts, memory, retrieval, and compression surfaces needed for an agent workflow or long-horizon task.
Review what an LLM feature or agent actually puts in its context window — and find what's bloating, missing, or fighting itself.
Advanced context engineering management system that provides comprehensive context architecture design, memory management, knowledge engineering, and workflow orchestration…
Current state of Claude's memory, context, and Skills architecture as of late 2025. LOAD THIS when discussing context engineering, Skills, userMemories, memory management, context…
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when impl — from…
Read and obey a workspace's own context files. Seven canonical slots (style, contribute, architecture, practices, memory, domain, design) with filename aliases, read order, and…
Load relevant design documents and project context before working on any task. Use when user asks about features, requests implementation, discusses functionality, analyzes…
Discover codebase patterns, conventions, and unwritten rules before making changes. Use when implementing features, fixing bugs, or refactoring code.
Railway deployment, CI/CD workflows, GitHub Actions, and smoke tests. Handles Railway configuration, GitHub Actions workflows, deployment automation, and health checks.
Explains how SpecWeave achieves context efficiency through Claude's native progressive disclosure and sub-agent parallelization.
Expert in managing the "Memory" of AI systems. Specializes in Vector Databases (RAG), Short/Long-term memory architectures, and Context Window optimization.
Context optimization extends the effective capacity of limited context windows through strategic compression, masking, caching, and partitioning.
Context optimization extends the effective capacity of limited context windows through strategic compression, masking, caching, and partitioning.
Use when configuring or debugging the context-overlay OpenAI-compatible proxy for deterministic prompt/context injection, prompt patching, rule matching, request routing,…
Design and build context-packet DAG pipelines — graph design, shell orchestration, MCP server integration, and programmatic TypeScript API.
Tiered testing strategy (UI mock, auth stub, full-stack), fixtures, mocks, and test configuration. Handles test setup, Playwright E2E tests, pytest backend tests, mocking…
Use when allocating context-window budget across system, skill-injection, working, and output zones; monitoring context health; deciding when to compact; preserving state before…
Fetch up-to-date library documentation via Context7 API. Use PROACTIVELY when: (1) Working with ANY external library (React, Next.js, Supabase, etc.) (2) User asks about — from…
Fetch up-to-date library documentation via Context7 API. Use PROACTIVELY when: (1) Working with ANY external library (React, Next.js, Supabase, etc.) (2) User asks about — from…
Fetch up-to-date library documentation via Context7 API. Use PROACTIVELY when: (1) Working with ANY external library (React, Next.js, Supabase, etc.) (2) User asks about — from…
Fetch up-to-date library documentation via Context7 REST API. Use when needing current API docs, framework patterns, or code examples for any library.
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering.
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering.
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering.
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering.
Fetch the latest, docs-grounded API details and best practices for a library/framework using Context7 MCP tools `resolve-library-id` and `get-library-docs`.
Queries Context7 library documentation via Python CLI. Use when resolving library IDs, fetching API references, code examples, or conceptual guides.
Coordinate context sweep before coding - gather relevant files, patterns, and tooling summaries. Use when preparing to implement a feature, fix, or refactor and need comprehensive…
Continue's prompt caching is opt-in via config and off by default. Flip the default to systemAndTools.
Resume a phased learning project in a fresh chat from a given phase and task. Use when the user points at spec, architecture, and plan docs and wants continuation without…
Guides continuous privacy compliance monitoring implementation including automated control testing, evidence collection automation, real-time compliance dashboards, alert-based…
Build a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots.
Use when configuring Apex test execution in CI/CD pipelines, choosing test levels for deployments, parsing test results, or troubleshooting code coverage in automated builds.
Use whenever a production-code change alters executable behavior—features, fixes, integrations, migrations, scripts, performance work, or behavior-changing refactors.
Integrate automated testing into CI/CD pipelines for continuous quality feedback. Use for continuous testing, CI testing, automated testing pipelines, test orchestration, and…
Acquire a platform's or library's real contract from its own toolchain oracles before authoring against an unfamiliar one — infrastructure, a CLI invocation, code on a managed…