agent-loops
Drop-in agentic loop skills (autoresearch, literature & writing, data, optimization, red-team, power analysis). Skills install namespaced as agent-loops:<name>.
Пакет плагинов · от gaasher
Коротко
agent-loops: пакет плагинов для ИИ-инструментов разработки, издатель gaasher. Витрин, которые мы читаем и где он опубликован: 1 (Community GitHub marketplaces). Мы впервые увидели его 2026-10-19 и с тех пор изменений не фиксировали. Данные нашего прохода по витринам на 2026-10-20.
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 gaasher/agent-loop-skills
/plugin install agent-loops@agent-loop-skillsГде опубликован
| Витрина | Статус | Версия | Числа | Проверен | Впервые замечен |
|---|---|---|---|---|---|
| Маркетплейс сообщества gaasher/agent-loop-skills (Открыть исходники на GitHub) | Опубликован | 0.1.0 | Форки (GitHub): 19 Звёзды (GitHub): 175 |
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) |
|---|---|---|
| agent-loop-skills | gaasher/agent-loop-skills | 175 |
Что входит в пакет
Так опубликовано на витрине Community GitHub marketplaces.
Скиллы: 25
alpha-evolveanomaly-investigationblue-teamclaim-verifydata-analysisdueling-autoresearchexploratory-autoresearchhypothesis-genkarpathyliterature-searchliterature-surveyml-autoresearch
Показать остальные 13
optimize-loopplan-looppower-analysisprompt-optimizepurple-teamred-teamresearch-proposalresearch-questionscientific-figurescientific-writerswe-looptabular-cleanuptournament-autoresearch
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.
-
20 enterprise-grade skills for autonomous AI/ML research lab operations. Includes 10 custom gap-analysis skills (research-commander, agent-debugger, model-evaluator…
-
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…
-
Assistant setup, instruction hygiene, documentation review, memory capture, skill improvement, harness adaptation, and markdown/prompt maintenance.
-
Autonomous skill improvement through parallel research agents. Inspired by Karpathy's autoresearch methodology, it spawns 5 parallel agents (domain expert, quality auditor…
-
Tools for authoring and verifying agent skills: friction-pattern extraction and skill quality verification
-
Skill auto-evolution engine - combines skill-creator evaluation + autoresearch iteration principles to automatically create, evaluate, and evolve Claude Code skills through gated…
-
Agent workflow design (LangChain, MCP servers, Copilot SDK), prompt systems and execution prompts, RAG/vector search, and LLM evaluation.
-
Research and LLM engineering: deep research with scenario checklists, search routing across MCPs, LLM cost discipline (regex-first parsing + model routing)
-
create-skill-autoresearch
Factory for building production-grade agent skills: interviews you for purpose and gold standards, researches the domain, drafts the skill, autonomously improves it against an…
-
Intelligent multi-agent system for delegating analysis, code review, and complex reasoning tasks to local ollama models. Saves 70%+ of Claude's context budget with automatic model…
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)
-
20 enterprise-grade skills for autonomous AI/ML research lab operations. Includes 10 custom gap-analysis skills (research-commander, agent-debugger, model-evaluator…
-
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…
-
Autonomous skill improvement through parallel research agents. Inspired by Karpathy's autoresearch methodology, it spawns 5 parallel agents (domain expert, quality auditor…
-
Multi-LLM orchestration for Claude Code and Cowork. Coordinates 8 AI providers (Codex, Gemini, Claude, Perplexity, OpenRouter, Copilot, Qwen, Ollama) through structured Double…
-
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…
Есть на витрине Claude Code: claude-plugins-official (5)
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
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…
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Comprehensive development workflow for building AI agents with the Atomic Agents framework. Includes specialized agents for schema design, architecture planning, code review, and…
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
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
Есть на витрине Codex: openai-curated (openai/plugins) (5)
-
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.
-
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…
-
Answer product and business questions with data
Есть на витрине Community GitHub marketplaces (5)
-
Assistant setup, instruction hygiene, documentation review, memory capture, skill improvement, harness adaptation, and markdown/prompt maintenance.
-
Tools for authoring and verifying agent skills: friction-pattern extraction and skill quality verification
-
Skill auto-evolution engine - combines skill-creator evaluation + autoresearch iteration principles to automatically create, evaluate, and evolve Claude Code skills through gated…
-
Agent workflow design (LangChain, MCP servers, Copilot SDK), prompt systems and execution prompts, RAG/vector search, and LLM evaluation.
-
Research and LLM engineering: deep research with scenario checklists, search routing across MCPs, LLM cost discipline (regex-first parsing + model routing)
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…
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
Meta prompts that help you discover and generate curated GitHub Copilot agents, instructions, prompts, and skills.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
Есть на витрине Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
Advanced Security plugin for GitHub Copilot.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Complete bundle: all Microsoft Skills for Fabric for developers and consumers.
Есть на витрине Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
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.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
Есть на витрине Docker MCP Catalog (5)
-
Real-time web search, reasoning, and research through Perplexity's API
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Provides tools to search and retrieve Google Gemini API documentation.
Есть на витрине Official MCP Registry (5)
-
Find, inspect and install reviewed reusable AI-agent capabilities from superskill.sh.
-
Search, install and compose AI agent skills, loops and bundles from the LoopSkill marketplace.
-
AI predictions, model comparison, research briefs and web search from an autonomous AI
-
awesome-agent-skills io.github.shadowrootdev/awesome-agent-skills
MCP server with 100+ AI agent skills from Anthropic, Vercel, Trail of Bits, Hugging Face & more.
-
Agent-first skill marketplace with USK open standard for Claude, Cursor, Gemini, Codex CLI.
Есть на витрине npm registry (MCP servers) (5)
-
google-surf-mcp io.github.HarimxChoi/google-surf-mcp
Web, academic and code search with graph RAG, data lineage, ontology and cross-project schema links.
-
Discover and load Agent Skills from configured local directories and Git sources over stdio MCP.
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
Evidence-backed crypto due diligence with sources, freshness, and a runtime receipt on every call.
-
gitmem io.github.gitmem-dev/gitmem
Persistent institutional memory for AI coding agents. Memory that compounds.
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.