M@thieu Ch@mb@ud
Community@frekimanagarm · Bordeaux, France
In this world to make some cool stuff
Agent Skills by M@thieu Ch@mb@ud
Showing 91 vetted skills indexed across 3 GitHub repositories.
FrekiManagarmimpeccable
Designs, audits, and refines frontend interfaces across web and native platforms.
FrekiManagarmui-ux-pro-max
Generates design system recommendations and searches UI/UX guidelines via a BM25-based CLI.
FrekiManagarmsource-command-claude-flow-help
Provide Codex-Flow command references and orchestration platform usage.
FrekiManagarmsource-command-sparc-integration
Integrate system components into a unified operational system using specific protocols.
FrekiManagarmsource-command-sparc-devops
Automate DevOps workflows for deployment, provisioning, configuration, monitoring, and cleanup.
FrekiManagarmsource-command-sparc-spec-pseudocode
Transform project requirements into modular pseudocode with TDD anchors.
FrekiManagarmsource-command-sparc-code
Convert pseudocode into executable code with environment abstraction.
FrekiManagarmsource-command-claude-flow-memory
Store, query, and manage persistent data in the Codex-Flow memory system.
FrekiManagarmsource-command-sparc-refinement-optimization-mode
Refactor system components, optimize database queries, and enforce configuration best practices.
FrekiManagarmsource-command-sparc-ask
Guide task formulation using SPARC methodologies across administrative workflows.
FrekiManagarmsource-command-claude-flow-swarm
Orchestrate multi-agent swarms to automate complex workflows with real-time monitoring.
FrekiManagarmsource-command-sparc-security-review
Perform static and dynamic code audits to flag security vulnerabilities.
FrekiManagarmsource-command-sparc-tutorial
Guide users through the SPARC methodology for structured software development.
FrekiManagarmsource-command-sparc-docs-writer
Generate Markdown documentation from user-provided content and task descriptions.
FrekiManagarmsource-command-sparc-debug
Trace and inspect runtime issues in SPARC mode applications using MCP protocols.
FrekiManagarmsource-command-sparc-mcp
Automate external service integration through MCP interfaces with secure credential management.
FrekiManagarmsource-command-sparc-sparc
Decompose large objectives into subtasks using the SPARC methodology.
FrekiManagarmsource-command-sparc-post-deployment-monitoring-mode
Monitor post-deployment system health by analyzing performance, logs, and user feedback.
FrekiManagarmintegration-javascript_web
Integrate PostHog analytics into JavaScript web apps with event capture.
FrekiManagarmintegration-nextjs-app-router
Integrate PostHog analytics into Next.js App Router applications.
FrekiManagarminstrument-logs
Export application logs to PostHog via OpenTelemetry OTLP with structured attributes.
FrekiManagarmlogs-nodejs
Export OpenTelemetry OTLP log records from Node.js to PostHog.
FrekiManagarmimage-taste-frontend
Generate art-directed website design references and extract layout, spacing, and typography for frontend implementation.
FrekiManagarmseo-audit
Audit crawlability, indexation, technical health, on-page SEO, and content quality.
Frequently Asked Questions About M@thieu Ch@mb@ud
FAQPage SchemaWhat tasks can I accomplish using FrekiManagarm's skills?▼
You can instrument apps with PostHog analytics and error tracking, generate UI/UX design systems with palettes and typography, run SPARC multi-phase development with TDD gates, automate GitHub releases and code reviews, and implement AgentDB vector memory with reinforcement learning plugins.
Who are these skills designed for?▼
Frontend engineers building React/Next.js interfaces, platform engineers managing GitHub Actions CI/CD, developers integrating PostHog product analytics, and AI engineers constructing multi-agent swarms, persistent vector memory, and self-learning agent systems with AgentDB and ReasoningBank.
What are the prerequisites and dependencies?▼
GitHub skills require the gh CLI, git, Node.js v16-20+, and Codex-flow or ruv-swarm. PostHog skills need the PostHog SDK and OpenTelemetry OTLP exporters. AgentDB skills require the AgentDB vector database; browser automation uses accessibility-tree snapshot commands.
How do the multi-agent orchestration skills work in practice?▼
SPARC decomposes objectives into specification, pseudocode, architecture, refinement, and completion phases with TDD anchors. Swarm orchestration coordinates parallel agents with dynamic topology, while verification skills compute truth scores at a 0.95 threshold and trigger Git rollback on failures.
Are these skills open-source and what licensing applies?▼
The skills are published publicly on the FrekiManagarm GitHub registry with 23 public repositories. The impeccable frontend skill explicitly declares an Apache 2.0 license; other skills are distributed as Codex-flow/Claude Code skill manifests with YAML frontmatter.