context-degradation
Diagnose, isolate, and mitigate LLM context failures like lost-in-middle, poisoning, distraction, and context clash to improve agent reliability.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
313 skills found
Diagnose, isolate, and mitigate LLM context failures like lost-in-middle, poisoning, distraction, and context clash to improve agent reliability.
Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.
Transform raw ideas into structured conference talk scripts using narrative frameworks. Features slide-by-slide content planning, speaker notes, and timing guidance in a tool-agnostic format.
Perform internet searches using the Zhipu AI web search API to retrieve real-time information, news, and current data.
Google Gemini Image Generation API interface for text-to-image, editing, style templates, and automated retry workflows.
A framework for an LLM-based NetHack agent that dynamically synthesizes Python code in a secure sandbox to perform complex dungeon exploration and gameplay actions via a high-level API.
Self-modify your Milady agent by managing plugins. Edit code, rebuild, and restart the runtime to develop new capabilities or improve agent workflows locally.
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.
A stage-driven AI writing agent for structured, repeatable, and reversible long-form content production with human-in-the-loop workflows.
Pre-execution security guardrails for AI agents. Validates shell commands and file reads against 400+ security patterns to block destructive operations, credential theft, and unauthorized system access.
Headless web search and content extraction using Brave Search API. Perform documentation lookups, factual research, and web data retrieval without a browser.
Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance for complex features, multi-step refactors, and long-running autonomous coding sessions.