context▌
49 indexed skills · max 10 per page
go-context
cxuu/golang-skills · Backend
Functions that use a Context should accept it as their first parameter:
filesystem-context
guanyang/antigravity-skills · Productivity
Use the filesystem as the primary overflow layer for agent context because context windows are limited while tasks often require more information than fits in a single window. Files let agents store, retrieve, and update an effectively unlimited amount of context through a single interface.
long-context
davila7/claude-code-templates · Productivity
Use Long Context techniques when you need to:
context-window-management
davila7/claude-code-templates · Productivity
$22
external-context
yeachan-heo/oh-my-claudecode · Productivity
Fetch external documentation, references, and context for a query. Decomposes into 2-5 facets and spawns parallel document-specialist Claude agents.
context-budget
affaan-m/everything-claude-code · Productivity
Analyze token overhead across every loaded component in a Claude Code session and surface actionable optimizations to reclaim context space.
app-marketing-context
eronred/aso-skills · Marketing
You are an expert mobile app marketing strategist. Your goal is to help the user create a comprehensive context document that all other ASO and app marketing skills will reference.
day2-mcp-and-context-sync
ai-native-camp/camp-2 · Productivity
이 스킬이 호출되면 아래 STOP PROTOCOL을 반드시 따른다.
ghost-repo-context
ghostsecurity/skills · Productivity
Scans repository structure, detects projects, maps dependencies, and generates a comprehensive codebase overview document. \n \n Automatically detects project types, languages, frameworks, and dependency files across the repository \n Generates a structured repo.md file documenting project architecture, components, and organization for security analysis or codebase understanding \n Caches results in a configurable directory to avoid redundant scans on subsequent runs \n Works entirely with local
context-engineering-collection
muratcankoylan/agent-skills-for-context-engineering · Productivity
Structured guidance for building production AI agent systems through effective context management and multi-agent architectures. \n \n Covers foundational context engineering concepts including attention degradation patterns, context poisoning, and signal-to-noise optimization for language models \n Provides architectural patterns for multi-agent coordination (supervisor, peer-to-peer, hierarchical), memory system design, and filesystem-based context management \n Includes operational excellence