aprende
Reflect on the current conversation and save reusable learnings across four categories (memory, lesson, skill stub, project-doc) — confirmation-first, Reflexion-style…
Plugin-Paket · von Hainrixz
Überblick
aprende ist ein Plugin-Paket für KI-Coding-Tools von Hainrixz. Marktplätze, die wir lesen und die es listen: 1 (Community GitHub marketplaces). Wir haben es erstmals am 2026-10-20 gesehen und seither keine Änderung erfasst. Stand unseres Marktplatz-Durchlaufs vom 2026-10-20.
Reflect on the current conversation and save reusable learnings across four categories (memory, lesson, skill stub, project-doc) — confirmation-first, Reflexion-style anti-patterns, dual-write to CLAUDE.md + AGENTS.md for Codex compatibility.
Was es abfragt
- Wird als Plugin-Paket installiert
- Deklarierte Hooks: 2
Was es deklariert, abfragt und ausführt, vollständig
Installieren Sie nur Plugins von Entwicklern, denen Sie vertrauen. Wir zeigen, was die Marktplätze veröffentlichen, und testen keine Plugins.
Funktioniert mit
- Claude Code
Nach den Marktplätzen, die ihn listen, und dem angegebenen MCP-Transport, wie jeder Client sie dokumentiert. Wir testen keine Plugins.
Verbinden
Befehle und Konfigurationen nur aus den Angaben der Marktplätze. Wir führen sie nicht für Sie aus und testen keine Plugins.
Als Claude-Code-Plugin
Erstellt aus den Angaben von Community GitHub marketplaces.
/plugin marketplace add hainrixz/aprende-skill
/plugin install aprende@aprende-skillWo es veröffentlicht ist
| Marktplatz | Status | Version | Zahlen | Verifiziert | Erstmals gesehen |
|---|---|---|---|---|---|
| Community-Marktplatz hainrixz/aprende-skill (Quelle auf GitHub öffnen) | Gelistet | 0.1.1 | Forks (GitHub): 6 Sterne (GitHub): 29 |
Nicht markiert |
Jede Zahl stammt vom jeweiligen Marktplatz und wird nie über Marktplätze hinweg addiert. Ein Marktplatz ohne veröffentlichte Zahl zeigt keine: keine Zahl ist nicht null.
In einem Community-Marktplatz gelistet
| Marktplatz | Repository | Sterne (GitHub) |
|---|---|---|
| aprende-skill | hainrixz/aprende-skill | 29 |
Was das Paket enthält
So veröffentlicht auf Community GitHub marketplaces.
Skills: 2
aprendelearn
Befehle: 3
aprendeaprende-disable-hooksaprende-enable-hooks
Hooks: 2
PostToolUseStop
Was sich geändert hat
- Wird seitdem als Produkt geführt
- Community GitHub marketplaces: erschienen
Ähnliche Plugins
Produkte, deren eigene Namen, Beschreibungen, Werkzeuge und Skills diesem der Bedeutung nach am nächsten sind, auf allen Marktplätzen, die wir lesen. Die Nähe ist nur innerhalb dieser Liste geordnet.
-
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract patterns into skills. Ships 5 slash commands (/si:memory-review, /si:promote, /si:extract, /si:memory-status…
-
daily
Day-to-day skills with memory: a morning briefing, a tutor that remembers what you got wrong, and a retro that turns agent mistakes into one-line fixes
-
Structured thinking, evidence-first planning, diagnosis, technical research, and documentation capture for AI agents.
-
Living Ontology for Claude Code - Captures and reuses knowledge across sessions
-
Mémoire d'expérience et rétro-amélioration contrôlée — runs → leçons, propositions de mises à jour de skills et classements de stratégies, avec tests et validation humaine avant…
-
Your AI memory as a local folder you own. Every app shares it; you see and can undo each change.
-
adaptive-recall io.github.AIAppsAPI/adaptive-recall
Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.
-
Personal AI memory layer. Capture decisions, lessons, and context that carry across sessions.
-
Persistent memory recall and lifecycle capture for Codex sessions via EverMe.
Ähnliche Plugins nach Marktplatz
Dieselbe Frage an jeden Marktplatz einzeln: Gibt es dort ein Gegenstück zu diesem Plugin?
Gelistet auf Claude Code: claude-plugins-community (5)
-
Personal AI memory layer. Capture decisions, lessons, and context that carry across sessions.
-
AI-powered interactive learning coach that helps users master any topic 10x faster. Features knowledge maps, Feynman sparring, Socratic drilling, instant feedback, and…
-
A Claude Code plugin that acts as your long-running learning companion — helps you plan, track, and review self-directed learning in structured phases.
-
knowmine-personal-knowledge-base
Save notes and decisions during AI conversations. Search them later by meaning, not keywords. Works across Claude Code and any MCP-compatible AI.
-
Research any topic online and create comprehensive learning guides with RAG-optimized indexes for your AI agents. `/learn react hooks` searches the web for ~20 sources, scores…
Gelistet auf Claude Code: claude-plugins-official (5)
-
Continuous memory for Claude Code. Extracts, summarizes, and compresses conversations into tiered daily logs. Claude remembers what you did yesterday.
-
Turn any learning intent into a personalized Coursera experience. Asks three quick questions (topic, familiarity, preferred format), searches Coursera's catalog, and delivers the…
-
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…
-
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Gelistet auf Claude: knowledge-work-plugins (5)
-
Turn any learning intent into a personalized Coursera experience. Asks three quick questions (topic, familiarity, preferred format), searches Coursera's catalog, and delivers the…
-
Manage tasks, plan your day, and build up memory of important context about your work. Syncs with your calendar, email, and chat to keep everything organized and on track.
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Secure access to Miro boards. Enables AI to read board context, create diagrams, and generate code with enterprise-grade security.
Gelistet auf Codex: openai-curated (openai/plugins) (5)
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
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.
-
Search, create and update Linear issues, projects, and initiatives. Draft PRDs, write updates, analyze customer requests, and keep plans up to date — all from within ChatGPT
-
Turn Codex into your ClickUp command center.
Gelistet auf Community GitHub marketplaces (5)
-
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract patterns into skills. Ships 5 slash commands (/si:memory-review, /si:promote, /si:extract, /si:memory-status…
-
daily
Day-to-day skills with memory: a morning briefing, a tutor that remembers what you got wrong, and a retro that turns agent mistakes into one-line fixes
-
Structured thinking, evidence-first planning, diagnosis, technical research, and documentation capture for AI agents.
-
Living Ontology for Claude Code - Captures and reuses knowledge across sessions
-
Mémoire d'expérience et rétro-amélioration contrôlée — runs → leçons, propositions de mises à jour de skills et classements de stratégies, avec tests et validation humaine avant…
Gelistet auf Copilot CLI: github/awesome-copilot (5)
-
Codebase-grounded concept-mastery quizzes with an interactive BrainMax Canvas dashboard.
-
Turn your Copilot sessions into proof of impact — research-grounded HTML reports with effort estimation, skills analysis, and ROI metrics from local session logs.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
-
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…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Gelistet auf Copilot CLI: github/copilot-plugins (5)
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
Gelistet auf Cursor: cursor/plugins (5)
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Skill mapping, practice plans, and learning retrospectives.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Capture, search, and organize notes and collections.
Gelistet auf Docker MCP Catalog (5)
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Real-time web search, reasoning, and research through Perplexity's API
-
Knowledge graph-based persistent memory system.
-
Production-ready RAG service to search and retrieve data from your documents.
Gelistet auf Official MCP Registry (5)
-
Your AI memory as a local folder you own. Every app shares it; you see and can undo each change.
-
adaptive-recall io.github.AIAppsAPI/adaptive-recall
Adaptive memory system with cognitive scoring, knowledge graph, and self-improving ML.
-
Scholarize — Study Plan & Thesis Tools
Free AI study tools: generate a personalized study plan or essay thesis statements.
-
Persistent local memory for coding agents: temporal knowledge graph, procedural and episodic recall
-
backrow ai.backrow/backrow
Turn any recording or document into notes, flashcards and quizzes your agent can read and act on
Gelistet auf npm registry (MCP servers) (5)
-
Discover and load Agent Skills from configured local directories and Git sources over stdio MCP.
-
Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
-
easy-notion io.github.misterwigglesworth/easy-notion
Markdown-first Notion MCP server. ~6-7x fewer response tokens vs official Notion MCP. 43 tools.
-
One workspace for every AI coding assistant. Shared tasks, memory, and governance.
-
AI co-pilot for Foundry VTT: runs combat, scenes, voices and audio. Requires the Familiar module.
Nach Bedeutung gefunden, nicht über gemeinsamen Code oder ein gemeinsames Repository: Ähnliche Plugins bleiben getrennte Produkte, und dies ist weder eine Bewertung noch eine Empfehlung.
Möchten Sie dieses Zeichen für Ihr Plugin in unserem Katalog?
Belegen Sie mit einer Datei im Repository, einer Datei auf Ihrer Domain oder einem DNS-Eintrag, dass Sie es pflegen, und Sie können dieses Zeichen auf der Karte zeigen, dazu Live-Banner für Ihre Website und Ihr README. So funktioniert die Verifizierung
Außerdem erhalten Sie Hinweise, wenn ein Marktplatz es aufnimmt, entfernt, sein Verified-Zeichen oder seine Anforderungen ändert, und sein Remote-Endpunkt wird wie ein Webdienst überwacht.
Daten von Community GitHub marketplaces. Die Zahlen stammen aus unseren eigenen regelmäßigen Durchläufen über die Marktplätze, zuletzt abgerufen am . Kontaktdaten von Plugin-Herausgebern veröffentlichen wir nicht.