self-improvement
Self-improvement system for Claude with critic agent, quality analysis skills, automated conversation analysis, and feedback loops. Features automatic pattern tracking, learning…
Lot de plugins · par C0ntr0lledCha0s
Aperçu
self-improvement est un lot de plugins pour les outils de code IA publié par C0ntr0lledCha0s. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Nous l'avons vu pour la première fois le 2026-10-15 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-10-16.
Self-improvement system for Claude with critic agent, quality analysis skills, automated conversation analysis, and feedback loops. Features automatic pattern tracking, learning reinforcement, and trend detection. Enables continuous improvement through honest self-assessment and iterative refinement.
Ce qu'il demande
- S'installe comme lot de plugins
- Hooks : 2
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En plugin Claude Code
Construit à partir de ce que déclare Community GitHub marketplaces.
/plugin marketplace add c0ntr0lledcha0s/claude-code-plugin-automations
/plugin install self-improvement@claude-code-plugin-automationsOù il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire c0ntr0lledcha0s/claude-code-plugin-automations (Ouvrir la source sur GitHub) | Absent du dernier passage | 2.0.0 | Forks (GitHub): 1 Étoiles (GitHub): 3 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Listé dans une place de marché communautaire
| Place de marché | Dépôt | Étoiles (GitHub) |
|---|---|---|
| claude-code-plugin-automations | c0ntr0lledcha0s/claude-code-plugin-automations | 3 |
Quelles places de marché nous lisons et comment nous les vérifions
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Skills: 5
analyzing-component-qualityanalyzing-response-qualitycreating-feedback-loopsimproving-componentssuggesting-improvements
Commandes: 9
analyze-componenthealth-checkimprove-componentquality-checkreview-my-workshow-complianceshow-learningsshow-metricsshow-patterns
Agents: 1
self-critic
Hooks: 2
PreToolUseSessionStart
Ce qui a changé
- Est devenu un produit que nous suivons
- Community GitHub marketplaces: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
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…
-
Instinct Engine that scans recent sessions, journals, and decisions for recurring patterns and turns them into concrete captures.
-
8-habit-ai-dev replaces ad-hoc AI prompting with a structured 7-step workflow: Research → Requirements → Design → Breakdown → Build Brief → Review → Deploy. Each step maps to one…
-
A Claude plugin that keeps YOU as the subject of the conversation, not the AI. Contains the "think-with-you" skill — a 12-axis sensor architecture (cube) with a named ②observer…
-
Stops Claude from racing on ad-hoc work. Methodical-mode pre-response checklist injected every turn (Restate, Verified/Unverified assumptions, Read Floor, Approach Deliberation…
-
Personal operating system for executives - reflection frameworks, goal systems, coaching-style reviews (Gustin, Ferriss, Robbins, Lieberman, Campbell, Eisenmann, Collins, Martell…
-
Manage your MakeMeBetter AI tasks, habits, and goals from your AI assistant.
-
productised io.github.Writehand-AI/productised
Build and publish AI products for coaching practices from inside Claude. 16 live tools.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
Instinct Engine that scans recent sessions, journals, and decisions for recurring patterns and turns them into concrete captures.
-
8-habit-ai-dev replaces ad-hoc AI prompting with a structured 7-step workflow: Research → Requirements → Design → Breakdown → Build Brief → Review → Deploy. Each step maps to one…
-
A Claude plugin that keeps YOU as the subject of the conversation, not the AI. Contains the "think-with-you" skill — a 12-axis sensor architecture (cube) with a named ②observer…
-
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 deterministic thinking partner that challenges assumptions and applies 150+ mental models across 17 disciplines to sharpen decisions, solve problems, and think more clearly…
Référencé sur Claude Code: claude-plugins-official (5)
-
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…
-
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…
-
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…
-
Superpowers teaches Claude brainstorming, subagent driven development with built in code review, systematic debugging, and red/green TDD. Additionally, it teaches Claude how to…
Référencé sur Claude: knowledge-work-plugins (5)
-
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.
-
Turn any learning intent into a personalized Coursera experience. Asks three quick questions (topic, familiarity, preferred format), searches Coursera's catalog, and delivers the…
-
Write feature specs, plan roadmaps, and synthesize user research faster. Keep stakeholders updated and stay ahead of the competitive landscape.
-
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.
Référencé sur 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.
-
Notion workflows for implementation planning, research synthesis, meeting preparation, and knowledge capture.
-
An agentic skills framework & software development methodology that works: planning, TDD, debugging, and collaboration workflows.
-
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.
Référencé sur Community GitHub marketplaces (3)
-
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…
-
Instinct Engine that scans recent sessions, journals, and decisions for recurring patterns and turns them into concrete captures.
-
8-habit-ai-dev replaces ad-hoc AI prompting with a structured 7-step workflow: Research → Requirements → Design → Breakdown → Build Brief → Review → Deploy. Each step maps to one…
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Turn your Copilot sessions into proof of impact — research-grounded HTML reports with effort estimation, skills analysis, and ROI metrics from local session logs.
-
Codebase-grounded concept-mastery quizzes with an interactive BrainMax Canvas dashboard.
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
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…
-
MCP server and 12 skills for product analysis, specification writing, strategy, narrative, and stakeholder alignment. Run competitive analyses, write zero-question specs, design…
Référencé sur 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.
Référencé sur Cursor: cursor/plugins (5)
-
Skill mapping, practice plans, and learning retrospectives.
-
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.
-
Search company knowledge and draft verified answers.
Référencé sur Docker MCP Catalog (5)
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Real-time web search, reasoning, and research through Perplexity's API
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
A Model Context Protocol server for Omi interaction and automation. This server provides tools to read, search, and manipulate Memories and Conversations.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
Référencé sur Official MCP Registry (5)
-
Manage your MakeMeBetter AI tasks, habits, and goals from your AI assistant.
-
productised io.github.Writehand-AI/productised
Build and publish AI products for coaching practices from inside Claude. 16 live tools.
-
Progressive in-context technical coaching in your AI agent — one local, free lesson per task.
-
Turn any goal with a deadline into a private, gamified, evidence-based execution calendar.
-
Persistent context for Claude. Your AI always knows your projects and next actions across sessions.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Données issues de Community GitHub marketplaces. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.