context-engineering
Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed…
Пакет плагинов · от muratcankoylan
Коротко
context-engineering: пакет плагинов для ИИ-инструментов разработки, издатель muratcankoylan. Витрин, которые мы читаем и где он опубликован: 1 (Community GitHub marketplaces). Последнее изменение мы зафиксировали 2026-11-04. Данные нашего прохода по витринам на 2026-11-04.
Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).
Что просит
- Ставится как пакет плагинов
Ни одна из витрин, которые мы читаем, не публикует его инструменты или настройки, которые он просит.
Что объявляет, просит и запускает, полностью
Устанавливайте плагины только от разработчиков, которым доверяете. Мы показываем то, что публикуют витрины, и не проверяем плагины.
Работает с
- Claude Code
По маркетплейсам, где он опубликован, и объявленному транспорту MCP, как их документирует каждый клиент. Плагины мы не тестируем.
Подключить
Команды и конфигурации собраны только из того, что объявляют витрины. Мы не запускаем их за вас и не проверяем плагины.
Как плагин Claude Code
Собрано из того, что объявляет Community GitHub marketplaces.
/plugin marketplace add muratcankoylan/agent-skills-for-context-engineering
/plugin install context-engineering@context-engineering-marketplace
Где опубликован
| Витрина | Статус | Версия | Числа | Проверен | Впервые замечен |
|---|---|---|---|---|---|
| Маркетплейс сообщества muratcankoylan/agent-skills-for-context-engineering (Открыть исходники на GitHub) | Опубликован | не указана | Форки (GitHub): 1 509 Звёзды (GitHub): 18 295 |
Не помечен |
Каждое число принадлежит своей витрине и никогда не складывается с числами других витрин. Если витрина число не публикует, мы его не показываем: нет числа не значит ноль.
Есть в одном маркетплейсе сообщества
| Витрина | Репозиторий | Звёзды (GitHub) |
|---|---|---|
| context-engineering-marketplace | muratcankoylan/agent-skills-for-context-engineering | 18 295 |
Как менялись числа
- 2026-11-011,5 тыс.
- 2026-11-041,5 тыс.
- 2026-11-0118,3 тыс.
- 2026-11-0218,3 тыс.
- 2026-11-0418,3 тыс.
Каждая точка: день, когда мы прочитали другое число; ровные участки: дни, когда число не менялось. Числа разных витрин никогда не складываются.
Что входит в пакет
Так опубликовано на витрине Community GitHub marketplaces.
Скиллы: 18
advanced-evaluationbdi-mental-statescontext-compressioncontext-degradationcontext-fundamentalscontext-optimizationevaluationfilesystem-contextharness-engineeringhosted-agentslatent-briefinglong-horizon-prompting
Показать остальные 6
memory-systemsmulti-agent-patternsproject-developmentself-improvement-loopsself-managed-contexttool-design
Что менялось
- Стал продуктом, за которым мы следим
- Community GitHub marketplaces: появился
Похожие плагины
Продукты, чьи собственные названия, описания, инструменты и скиллы ближе всего по смыслу к этому, на всех витринах, которые мы читаем. Близость упорядочена только внутри этого списка.
-
Инженерный skill для проектирования, реализации, отладки и оценки AI-агентов: архитектура, Harness, контекст, инструменты, память и evals.
-
Cross-agent working memory: captures and restores architecture decisions across AI sessions.
-
Multi-agent system optimization, agent improvement workflows, and context management
-
Multi-agent system optimization, agent improvement workflows, and context management
-
Diagnose context stuffing vs. context engineering in AI workflows.
-
Dynamic Agentic Architecture with cognitive patterns, knowledge sharing, and adaptive agents
-
llm-applications
Agent frameworks, prompt engineering and structured generation.
-
harness-engineering
Design, build, diagnose, and evolve agent harnesses: instructions, tools, execution environments, durable state, context management, verification, recovery, bounded autonomous…
-
10 AI agent engineering skills: knowledge base injection, entity memory, multi-model routing, proactive intelligence, MCP servers, parallel orchestration
Похожие плагины по витринам
Тот же вопрос к каждой витрине по отдельности: есть ли там аналог этого плагина?
Есть на витрине Claude Code: claude-plugins-community (5)
-
HarnessKit is a professional-grade engineering framework that empowers AI agents with a robust 'harness' of structured controls and specialized personas. Built on the principles…
-
planning-skills-for-agents-and-humans
Shaping (solution defining) skills so you, your team, and/or your AI agents can build with confidence and direction.
-
A self-improving agent skill pipeline that prevents common AI coding agent failures. Includes 6 skills (plan-interview, intent-framed-agent, context-surfing, simplify-and-harden…
-
JoAi is a platform for creating and managing your own AI agents.
-
Eliminate context rot in Claude Code with intelligent memory hierarchy, auto-learning hooks, and specialized subagents. Uses an 8-layer memory architecture with SessionStart/End…
Есть на витрине Claude Code: claude-plugins-official (5)
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
-
Matt Pocock's agent skills for real engineering — grilling, spec/ticket flows, TDD, code review, domain modelling and more. Plug-and-play, not vibe coding.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore, connecting tools, memory, policies, evaluation, debugging, and production…
-
Agentforce Agent Development Life Cycle — author, discover, scaffold, deploy, test, and optimize .agent files
Есть на витрине Claude: knowledge-work-plugins (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Sanity content platform integration with MCP server, agent skills, and slash commands. Query and author content, build and optimize GROQ queries, design schemas, and set up Visual…
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
Есть на витрине Codex: openai-curated (openai/plugins) (5)
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
Есть на витрине Community GitHub marketplaces (5)
-
Инженерный skill для проектирования, реализации, отладки и оценки AI-агентов: архитектура, Harness, контекст, инструменты, память и evals.
-
Cross-agent working memory: captures and restores architecture decisions across AI sessions.
-
Multi-agent system optimization, agent improvement workflows, and context management
-
Multi-agent system optimization, agent improvement workflows, and context management
-
Diagnose context stuffing vs. context engineering in AI workflows.
Есть на витрине Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
-
crowdstrike-charlotte-ai-agentworks
CrowdStrike Charlotte AI AgentWorks skills for creating, managing, and invoking AI agents via external Falcon API Gateway endpoints. Includes agent lifecycle management…
-
7 specialized agents covering the full software development lifecycle from UX design and architecture to security and DevOps.
-
Multi-model council for Copilot CLI: three subagents on different model families (Anthropic, OpenAI, Google) answer independently, then build on each other or attack the leading…
Есть на витрине Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Complete bundle: all Microsoft Skills for Fabric for developers and consumers.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Microsoft Dataverse plugin for coding agents, covering record CRUD, bulk data operations, advanced queries, schema and metadata, administration, security, environment management…
Есть на витрине Cursor: cursor/plugins (5)
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
if you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
Есть на витрине Docker MCP Catalog (5)
-
Server-enforced workflow discipline for AI agents: work items, dependency graphs, quality gates
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Есть на витрине Official MCP Registry (5)
-
Context sync layer for AI agents. Ensures continuity and eliminates memory drift automatically.
-
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history.
-
Strategic BDI reasoning engine for autonomous AI agents with spatial utility and replanning.
-
buildagents io.github.aurimasAPG/buildagents
Design AI agent teams for a business problem and generate ready-to-paste Claude Code prompts.
-
OrgX MCP — Organizational Continuity for AI Agents
Make AI work resumable, reviewable, and provable across agents.
Есть на витрине PyPI (MCP servers) (5)
-
yantrikdb-mcp io.github.yantrikos/yantrikdb-mcp
Cognitive memory for AI agents — semantic recall, knowledge graph, and contradiction detection
-
hypermnesia-mcp io.github.cdeust/hypermnesia-mcp
Persistent memory for AI agents — 36 cited neuroscience mechanisms, local-first, hybrid retrieval.
-
Unified MCP server for AgenticLens and Agentic Chaos capabilities.
-
marm-mcp-server io.github.Lyellr88/marm-mcp-server
Universal MCP Server with advanced AI memory capabilities and semantic search.
-
Connect agents to SideFX Houdini: edit the scene, cook, render, see the viewport, read the docs.
Есть на витрине npm registry (MCP servers) (5)
-
Strategic BDI reasoning engine for autonomous AI agents with spatial utility and replanning.
-
One system around coding agents to run, verify, recover, and hand off software work.
-
The context platform for AI agents: code search, team decisions, and grounded project context.
-
Contextual prompts and agent skills for 140+ AI platforms.
-
agent-knowledge io.github.keshrath/agent-knowledge
Cross-session memory for AI agents - knowledge graph, scoring, semantic search
Найдено по смыслу, а не по общему коду или репозиторию: похожие плагины остаются разными продуктами, и это не обзор и не рекомендация.
Хотите такой знак у своего плагина в нашем каталоге?
Докажите, что поддерживаете его, файлом в репозитории, файлом на вашем домене или DNS-записью, и сможете показать этот знак на карточке, а ещё живые баннеры для сайта и README. Как проходит подтверждение
Ещё вы будете получать уведомления, когда витрина добавит плагин, снимет его, изменит отметку verified или список того, что он просит, а его удалённый endpoint встанет на мониторинг как веб-сервис.
Данные витрины Community GitHub marketplaces. Числа взяты из наших регулярных обходов витрин, последняя проверка . Контакты издателей плагинов мы не публикуем.