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Chartbrew – Plateforme de Rapports Open Source pour Dashboards…

Chartbrew est une application web open source pour créer et partager des dashboards en direct à partir d'APIs, de bases SQL et NoSQL. Elle intègre un constructeur de graphiques visuel, un assistant IA, des rapports planifiés et des graphiques intégrables.

Qu'est-ce que Chartbrew – Plateforme de Rapports Open Source pour Dashboards… ?

Chartbrew est une plateforme open source de création de dashboards et de rapports qui se connecte à des APIs, bases de données SQL (MySQL, PostgreSQL) et NoSQL (MongoDB, etc.). Elle offre un constructeur de graphiques visuel permettant de générer facilement des visualisations de données, un assistant IA pour accélérer la création de requêtes et de graphiques, des rapports planifiés envoyés par email, ainsi que la possibilité d'intégrer des graphiques dans d'autres applications via des composants embarqués. Cette compétence est spécialement conçue pour les agents d'IA comme Claude Code, Cursor ou Codex, afin qu'ils puissent automatiser la configuration et la gestion d'une instance Chartbrew, depuis l'installation jusqu'à la création et l'alimentation de dashboards. Elle est utile pour les développeurs et équipes data qui souhaitent visualiser des métriques en temps réel sans dépendre d'un service tiers. La compétence s'appuie sur l'installation via Docker ou npm, avec Node.js v22+, MySQL/PostgreSQL et Redis comme prérequis.

Compatible avec~Claude Code~Codex CLI~Cursor

npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/chartbrew-open-source-reporting-dashboard-platform

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Chartbrew – Plateforme de Rapports Open Source pour Dashboards… preview

Documentation

Chartbrew – Plateforme de Rapports Open Source pour Dashboards API et Base de Données

Chartbrew est une application web open source pour créer et partager des dashboards en direct à partir d'APIs, de bases SQL et NoSQL. Elle intègre un constructeur de graphiques visuel, un assistant IA, des rapports planifiés et des graphiques intégrables pour la visualisation de données.

Installation

Utilisez le chemin d'installation officiel correspondant à votre environnement :

git clone https://github.com/chartbrew/chartbrew.git
npm run start
npm run start-dev
Exécution avec Docker

Prérequis et notes de la documentation officielle :

Consultez le guide complet dans la documentation.
Une image Docker Chartbrew est construite à chaque nouvelle version.

Notes de démarrage rapide :

NodeJS v22+
MySQL (5+) ou PostgreSQL (12.5+)
Redis (v6+)
Source : https://github.com/chartbrew/chartbrew
Extrait de la documentation officielle : https://raw.githubusercontent.com/chartbrew/chartbrew/HEAD/README.md

Source

Agent Skill Exchange

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add a browser review checkpoint before risky agent actions with

Use AgentClick when an agent should pause before risky commands, plans, drafts, or code changes so a human can inspect, edit, approve, or reject them in a purpose-built browser UI.

Add Claude design-system and accessibility workflows with UX/UI

Use UX/UI Agent Skills when Claude should generate tokens, component specs, accessibility audits, and framework-specific UI code from a repeatable design workflow.

Add executable smoke tests for shell scripts and CLIs before ref

Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.

Add graph-backed memory and context retrieval to agent workflows

Use Cognee to ingest project knowledge into graph and vector memory so agents can retrieve durable context across sessions and workflows.

Add IDE-style semantic code navigation and symbol-safe refactors

Give a coding agent symbol-aware lookup, cross-file rename, and structural edit tools before it starts making brittle text-only changes.

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Add multimodal lifelong memory to MCP and Python agents with Sim

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Add persistent project memory and hook-driven synthesis with Cla

Keep Claude Code sessions grounded in prior decisions, project context, and daily handoff notes instead of starting from zero every time.

Add Postgres-native vector retrieval to agent and RAG workflows

Store embeddings beside application data in Postgres, create vector indexes, and query nearest neighbors for semantic search, RAG, recommendations, or agent memory retrieval.

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Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

Use Zep as an external context layer for agents that need to store events, assemble temporal graph context, and retrieve relevant memory before model calls.

Adobe Firefly API Batch Image Generator

Calls Adobe Firefly

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