context-engineering
Context engineering for AI agents — AI-optimized second-brain skills, durable pipeline state for multi-agent handoffs, and expert prompt building.
Plugin bundle · by Andrew Novykov
About
context-engineering is a plugin bundle for AI coding tools published by Andrew Novykov. Marketplaces we read that list it: 1 (Community GitHub marketplaces). We first saw it on 2026-10-17 and have recorded no change since. As of our marketplace pass on 2026-10-19.
What it asks for
- Installs as a plugin bundle
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a Claude Code plugin
Built from what Community GitHub marketplaces declares.
/plugin marketplace add endorphin-ai/hasbrains-agent-kit
/plugin install context-engineering@hasbrains-agent-kit
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace endorphin-ai/hasbrains-agent-kit (Open the source on GitHub) | Listed | 1.1.0 | Forks (GitHub): 1 Stars (GitHub): 9 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
Listed in one community marketplace
| Marketplace | Repository | Stars (GitHub) |
|---|---|---|
| hasbrains-agent-kit | endorphin-ai/hasbrains-agent-kit | 9 |
What the bundle contains
As published on Community GitHub marketplaces.
Skills: 3
build-brainpipeline-stateprompt-expert
What changed
- Became a product we track
- Community GitHub marketplaces: appeared
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Design better LLM context for agents, prompts, tools, RAG/MCP servers, and multi-agent systems.
-
A collection of AI Skills for intent-driven development and cognitive workflows.
-
12 skills for building, evaluating, and debugging agent context
-
Agent chains, AI-powered routing, 10 workflow templates, 60+ agents & skills. Easy to create your own, fits any project.
-
Transform Claude Code into an autonomous AI development powerhouse with persistent task management, intelligent agents, and automatic work discovery
-
Skills for using AI itself well — picking the right tool, delegating to it, briefing it with context, designing AI workflows, verifying its output, and catching its mistakes.
-
Swarm orchestration workflows, curated knowledge skills, tiered worker agents, and fail-soft guardrail hooks.
-
JoAi is a platform for creating and managing your own AI agents.
-
Assistant setup, instruction hygiene, documentation review, memory capture, skill improvement, harness adaptation, and markdown/prompt maintenance.
-
Make your AI agent get stronger with use. Includes two skills: /skill-review (periodic audit of all skills for staleness, missing gotchas, and improvements) and…
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
JoAi is a platform for creating and managing your own AI agents.
-
Make your AI agent get stronger with use. Includes two skills: /skill-review (periodic audit of all skills for staleness, missing gotchas, and improvements) and…
-
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…
-
Learn from your workflow patterns and suggest skills, hooks, and agents to automate the repetitive work. Skillers reads your AI conversation transcripts (Claude Code, Codex CLI…
-
Built on the trusted obra/superpowers workflow and refined through research into LLM agent behavior, it adds automatic 3-tier workflow routing, proactive safety hooks…
Has a listing on 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…
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Create new skills, improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to…
-
Interactive self-referential AI loops for iterative development, implementing the Ralph Wiggum technique. Claude works on the same task repeatedly, seeing its previous work, until…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
Has a listing on Claude: knowledge-work-plugins (5)
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
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.
-
Connect 8,000+ apps to your AI workflow. Discover, enable, and execute Zapier actions directly from your client.
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
Has a listing on Community GitHub marketplaces (5)
-
Design better LLM context for agents, prompts, tools, RAG/MCP servers, and multi-agent systems.
-
A collection of AI Skills for intent-driven development and cognitive workflows.
-
12 skills for building, evaluating, and debugging agent context
-
Agent chains, AI-powered routing, 10 workflow templates, 60+ agents & skills. Easy to create your own, fits any project.
-
Transform Claude Code into an autonomous AI development powerhouse with persistent task management, intelligent agents, and automatic work discovery
Has a listing on 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…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
7 specialized agents covering the full software development lifecycle from UX design and architecture to security and DevOps.
-
Microsoft Copilot Studio plugins for AI coding agents
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
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…
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
Has a listing on Cursor: cursor/plugins (5)
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Patterns for designing CLIs that coding agents can run reliably: flags, help with examples, pipelines, errors, idempotency, dry-run.
-
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.
Has a listing on Docker MCP Catalog (5)
-
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.
-
Bridges n8n's workflow automation platform with AI models, providing access to 543 n8n nodes, workflow templates, and AI-capable automation tools.
-
Provides tools to search and retrieve Google Gemini API documentation.
Has a listing on Official MCP Registry (5)
-
Persistent decision memory for AI agents: rationale, rejected approaches, and entity history.
-
Chat with your Zihin.ai agents, list them and load platform skills from any MCP client.
-
yggdrasil io.github.VonderVuflya/yggdrasil
One shared, durable memory for your AI coding agents — local-first, zero-dependency.
-
forkmind io.github.Medhovarsh/forkmind
Branchable LLM history DAG + encrypted context capsules agents can save, restore, and crypto-shred.
-
mcp ai.promptarch/mcp
Research-backed lint + generation for agent context files (CLAUDE.md, AGENTS.md) + prompt enhancer.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.