context-management-context-restore
Use when working with context management context restore
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-10 00:15
Agents & models
26,023 results
context-manager
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates…
context-window-management
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context…
dotnet-architect
Expert .NET backend architect specializing in C#, ASP.NET Core, Entity Framework, Dapper, and enterprise application patterns. Masters async/await, dependency…
error-debugging-multi-agent-review
Use when working with error debugging multi agent review
langfuse
Expert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain,…
langgraph
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles…
llm-app-patterns
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI…
llm-evaluation
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance,…
prompt-caching
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache…
prompt-engineer
Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and…
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI,…
telegram-bot-builder
Expert in building Telegram bots that solve real problems - from simple automation to complex AI-powered bots. Covers bot architecture, the Telegram Bot API,…
behavioral-modes
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.
geo-fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
intelligent-routing
Automatic agent selection and intelligent task routing. Analyzes user requests and automatically selects the best specialist agent(s) without requiring…
mcp-builder
MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.
parallel-agents
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires…
ticket-up
Turn a finished Manifest into self-sufficient tickets anyone can pick up — a teammate, an agent, or a future session, with or without manifest-dev. Emits one…
blcaptain-meta-skill
Use when explicitly turning a repeated workflow, SOP, prompt, document, expert process, or tool routine into a reusable Agent Skill package, or improving,…
agentic-workflows
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
agentic-workflows
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
agentic-workflows
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
agent-collaboration
Standard collaboration patterns for all squad agents — worktree awareness, decisions, cross-agent communication