champion-identifier
À propos
Cette compétence de Claude analyse les profils LinkedIn pour identifier des champions internes potentiels au sein des comptes cibles. Elle évalue des facteurs clés tels que le poste, le parcours professionnel, les connexions mutuelles et les centres d'intérêt pour estimer le potentiel de champion. Utilisez cette compétence lorsque vous avez besoin de trouver qui défendra votre solution en interne et souhaitez obtenir des suggestions de contact personnalisées.
Installation rapide
Claude Code
Recommandénpx skills add OneWave-AI/claude-skills -a claude-code/plugin add https://github.com/OneWave-AI/claude-skillsgit clone https://github.com/OneWave-AI/claude-skills.git ~/.claude/skills/champion-identifierCopiez et collez cette commande dans Claude Code pour installer cette compétence
Dépôt GitHub
Compétences associées
polymarket
MétaThis skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.
creating-opencode-plugins
MétaThis skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.
cloudflare-turnstile
MétaThis skill provides comprehensive guidance for implementing Cloudflare Turnstile as a CAPTCHA-alternative bot protection system. It covers integration for forms, login pages, API endpoints, and frameworks like React/Next.js/Hono, while handling invisible challenges that maintain user experience. Use it when migrating from reCAPTCHA, debugging error codes, or implementing token validation and E2E tests.
evaluating-llms-harness
TestsThis Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.