skill-installer
Install agent-skills for Claude Code, Gemini Code Assist, and Codex
Install agent-skills for Claude Code, Gemini Code Assist, and Codex
ChatBotใใญใธใงใฏใใฎ้็บๅ จ่ฌใๆฏๆดใใในใญใซใใใญใธใงใฏใๆง้ ใใณใผใใฃใณใฐ่ฆ็ดใ้็บใฏใผใฏใใญใผใซ้ขใใ็ฅ่ญใๆไพใใพใใChatBotใใญใธใงใฏใใงไฝๆฅญใใๆใใใญใธใงใฏใๆง้ ใซใคใใฆ่ณชๅใใใๆใใณใผใใฃใณใฐ่ฆ็ดใซใคใใฆ่ณชๅใใใๆใๆฐใใๆฉ่ฝใ่ฟฝๅ ใใๆใซไฝฟ็จใใฆใใ ใใใ
Defense Manual against AI Hacking: Prompt Injection, Smuggling, and Agentic Exploits.
Complete guide for Panaversity Hackathon II (Todo Spec-Driven Development) Phases 2-5. Use when working on Phase 3 (MCP + OpenAI Agents + ChatKit chatbot), Phase 4 (Kubernetes with Minikube, Helm, Docker), Phase 5 (Cloud deployment with Dapr, Kafka, advanced features), or implementing bonus features (Reusable Intelligence, Cloud-Native Blueprints, Urdu support, Voice commands). Includes detailed references, scaffolding scripts, troubleshooting guides, and implementation patterns for AI-powered todo chatbot with event-driven architecture.
Self-improving review loop for Ralph Wiggum skills. Reviews skills against best practices, implements improvements, and continues until two consecutive clean reviews. Use when validating or improving the ralph-prompt-* skill suite.
Optimize context loading for efficient token usage. Use when working with large codebases, context limits, or when the user mentions "context", "token", "optimize", "summarize", or asks to reduce context size.
Google ADK (Agent Development Kit) architecture and core concepts. Covers agent types (LLM, Sequential, Parallel, Loop, Multi-agent), tool ecosystem, execution flows, deployment options, and observability. Model-agnostic framework for production AI agents. Use when understanding ADK architecture, selecting agent patterns, designing agent systems, or deploying to Vertex AI.
Handle comprehensive project language and user setup workflows including language selection, agent prompt configuration, user profiles, team settings, and domain selection
Control Reachy Mini robots by Pollen Robotics. Use when building apps, controlling robot movement (head, antennas, body), accessing camera/audio, or integrating with LLMs. Triggers on requests involving Reachy Mini SDK, robot control, head pose matrices, or ReachyMiniApp development.
Watch educational demo like a learner (BLIND evaluation). No test cases. No benchmark. No rubric. Honest assessment of: impression, what works, what doesn't, learner impact, recommendation. Output: agent_X_free_eval.json
Helps you create and refine new Gravito Skills. Trigger this when asked to add a new skill to the ecosystem.
Adaptive communication patterns and role selection based on user expertise level and request type (Consolidated from moai-alfred-persona-roles)
Download an image for a vocabulary card using Unsplash. Use when the user wants to add an image to a card, get an image for a word, or says "add image to [word]" or "generate image for card [id]".
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
Fast LLM inference with Groq API - chat, vision, audio STT/TTS, tool use. Use when: groq, fast inference, low latency, whisper, PlayAI TTS, Llama, vision API, tool calling, voice agents, real-time AI.
Real-time sentiment analysis on Twitter/X using Grok. Use when analyzing social sentiment, tracking market mood, or measuring public opinion on topics.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.
Optimize prompts via process goals (controllable behavioral instructions) rather than outcome goals (sparse end-result demands). Grounded in sports psychology meta-analysis showing process goals (d=1.36) vastly outperform outcome goals (d=0.09). Use when designing prompts, optimizing LLM steering, implementing CoT/decomposition patterns, or building automatic prompt optimization pipelines. Instantiates surrogate loss paradigm for discrete prompt space.
Main orchestration loop for autonomous coding. Use when running autonomous sessions, orchestrating feature completion, managing continuous loops, or coordinating agent lifecycle.
Retrieve project-specific insights from file-based memory. Use when working on features, encountering domain-specific questions, or user says "--project-recall" or "--recall" (you decide which scope, may use both). Skip for routine tasks or universal pattern questions (use coder-memory-recall). MUST be invoked using Task tool to avoid polluting main context.
่ชๅจไป็ฝ็ปๆถ้ Claude Code ็ๆๆฐไฝฟ็จๆๅทงใๅ่ฝๆดๆฐๅๆไฝณๅฎ่ทตใๅฝ็จๆท้่ฆไบ่งฃ Claude Code ็ๆฐๅ่ฝใไฝฟ็จๆๅทงใ้ซ็บง็จๆณๆ Claude Agent SDK ๅผๅๆถไฝฟ็จๆญคskillใๆฏๆๆฌๅฐ็ผๅญ๏ผ้ฟๅ ้ๅคๆ็ดขใ
Use when user provides a simple, vague prompt and asks to expand/improve it, or when preparing prompts for another session. Triggers on "expand this prompt", "make this more specific", "improve this prompt", or similar requests.
Maintains project context and progress tracking across Claude sessions. Use at session start to load context, on session end to save progress. Triggers: "load project context", "save context", "end session", "what was I working on", "switch to [project]", "done for today". Works in both Claude Code and Claude Desktop.
Comprehensive security risk analysis for Claude skills. Use when asked to analyze security risks, review security stance, audit skills for vulnerabilities, check security before deployment, or evaluate safety of skill files. Triggers include "analyze security," "security risks," "security audit," "security review," "is this skill safe," or "check for vulnerabilities."