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Found 7,624 Skills
Use this skill when building AI voice agents with the ElevenLabs Agents Platform. This skill covers the complete platform including agent configuration (system prompts, turn-taking, workflows), voice & language features (multi-voice, pronunciation, speed control), knowledge base (RAG), tools (client/server/MCP/system), SDKs (React, JavaScript, React Native, Swift, Widget), Scribe (real-time STT), WebRTC/WebSocket connections, testing & evaluation, analytics, privacy/compliance (GDPR/HIPAA/SOC 2), cost optimization, CLI workflows ("agents as code"), and DevOps integration. Prevents 17+ common errors including package deprecation, Android audio cutoff, CSP violations, missing dynamic variables, case-sensitive tool names, webhook authentication failures, and WebRTC configuration issues. Provides production-tested templates for React, Next.js, React Native, Swift, and Cloudflare Workers. Token savings: ~73% (22k → 6k tokens). Production tested. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
Create comprehensive steering documents for development projects. Generates project-specific standards, git workflows, and technology guidelines in .kiro/steering/ directory.
Agentic workflow patterns for autonomous LLM reasoning. Use when building ReAct agents, implementing reasoning loops, or creating LLMs that plan and execute multi-step tasks.
Senior Visualization Architect & Documentation Engineer for 2026. Specialized in Mermaid.js orchestration, Diagram-as-Code (DaC) workflows, and automated system behavior modeling. Expert in generating high-fidelity Sequence, ERD, Gitgraph, and State diagrams to visualize complex logic, data flows, and project timelines within the Gemini Elite Core.
Unified git workflow for branch-first development: status/diff review, security-first commits, worktrees, and PR creation/review via gh. Auto-activates on: "commit", "push", "branch", "worktree", "pr", "pull request", "merge", "rebase", "git".
Use when creating or refining SKILL.md-based skills, or diagnosing weak triggering (under/over-triggering, vague descriptions, bloated context, or missing workflow guidance).
Create diagrams and visual explanations with iterative render-and-check workflow. Use when asked to 'create a diagram', 'Venn diagram', 'flow chart', 'architecture diagram', 'visualize this'. Renders SVG to PNG, self-critiques using CRAP principles, iterates until right. Composes with brand skills for styling. (user)
Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic development experience. Use this skill when users ask about setting up agentic workflows, choosing models, optimizing prompts, managing parallel agents, or improving agent output quality.
Create new Agent Skills for Claude Code. Use when user wants to create a skill, add a new capability, document a CLI workflow, or asks how skills work.
Integrate oh-my-ag with MCP for ulw-style multi-agent workflows. Covers install, setup, bridge mode, and verification steps.
Git-centric implementation workflow. Enforces clean checkout, creates a properly named branch, tracks progress in a WIP markdown file, and commits continuously so git logs serve as the primary monitoring channel. Use when starting instructed, offer for any plan-based implementation task.
Iterative debugging workflow with confidence scoring and strategic log injection. Five phases: investigate, inject logs, propose fix, verify, cleanup. Use when: debugging unexpected behavior, silent errors, intermittent failures, or issues requiring runtime data. Triggers on "debug", "fix bug", "investigate", "trace issue", "add debug logs", "cleanup debug logs".