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Found 655 Skills
Effectue des revues de code complètes des merge requests GitLab, analysant la qualité du code, la sécurité, les performances et les bonnes pratiques. À utiliser quand l'utilisateur dit « code review » ou demande de revoir des merge requests ou d'analyser les changements d'une branche avant fusion.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch for Claude Code or Cursor, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Automate infrastructure, CI/CD, and deployment workflows. USE when building pipelines, environment automation, infrastructure as code, or deployment procedures.
Enforce a live-updating implementation spec with active checklists and sub-checklists during planning-to-implementation transitions. USE when work is multi-step, already planned, or entering non-trivial implementation.
Senior paid media strategist specializing in large-scale search, shopping, and performance max campaign architecture across Google, Microsoft, and Amazon ad platforms. Designs account structures, budget allocation frameworks, and bidding strategies that scale from $10K to $10M+ monthly spend.
Expert user experience researcher specializing in user behavior analysis, usability testing, and data-driven design insights. Provides actionable research findings that improve product usability and user satisfaction
Autonomous payment processing specialist that executes vendor payments, contractor invoices, and recurring bills across any payment rail — crypto, fiat, stablecoins. Integrates with AI agent workflows via tool calls.
Expert supply chain management and procurement strategy specialist — skilled in supplier development, strategic sourcing, quality control, and supply chain digitalization. Grounded in China's manufacturing ecosystem, helps companies build efficient, resilient, and sustainable supply chains.
Specialist in self-healing data pipelines — uses air-gapped local SLMs and semantic clustering to automatically detect, classify, and fix data anomalies at scale. Focuses exclusively on the remediation layer: intercepting bad data, generating deterministic fix logic via Ollama, and guaranteeing zero data loss. Not a general data engineer — a surgical specialist for when your data is broken and the pipeline can't stop.
Prioritize sprint and backlog work with explicit tradeoffs. USE when choosing what fits next, sequencing backlog items, or balancing value, effort, and risk.
Build MCP servers with clear tool contracts, validation, and tests. USE when planning or implementing tools, resources, prompts, and MCP transports.
Plan portfolio priorities, resource bets, and strategic tradeoffs. USE when choosing where the organization should invest across multiple projects or initiatives.