Skill Template
Skill Verified ActiveTemplate for creating new Agent Skills for context engineering. Use this template when adding new skills to the collection.
To provide a standardized and comprehensive template for developers to create new agent skills focused on context engineering, ensuring consistency and best practices.
Features
- Template for agent skill creation
- Guidance on defining skill purpose and scope
- Structure for detailed topics and practical advice
- Inclusion of examples and best practice guidelines
Use Cases
- When adding new skills to an agent collection
- To ensure consistency in skill documentation
- To guide developers on best practices for context engineering skills
Non-Goals
- To provide functional agent skills directly
- To be an executable tool
- To demonstrate specific context engineering techniques beyond templating
Installation
npx skills add muratcankoylan/Agent-Skills-for-Context-EngineeringRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
Similar Extensions
Skill Creator
100Guide for creating effective skills
Lean Ctx
100Context Runtime for AI Agents — 59 MCP tools, 10 read modes, 95+ shell patterns, tree-sitter AST for 18 languages. Compresses LLM context by up to 99%. Use when reading files, running shell commands, searching code, or exploring directories. Auto-installs if not present.
Manus
100Delegate complex, long-running tasks to Manus AI agent for autonomous execution. Use when user says 'use manus', 'delegate to manus', 'send to manus', 'have manus do', 'ask manus', 'check manus sessions', or when tasks require deep web research, market analysis, product comparisons, stock analysis, competitive research, document generation, data analysis, or multi-step workflows that benefit from autonomous agent execution with parallel processing.
Risk Management
100Risk management domain knowledge for trading agents — affective state monitoring, position sizing, drawdown management, tilt detection, and behavioral guardrails. Use when checking risk before trades, managing drawdowns, detecting behavioral drift, or enforcing discipline. Triggers on "risk", "drawdown", "tilt", "position size", "lot size", "confidence", "revenge trading", "overtrading", "discipline".
Setup Gbrain
100Set up gbrain for this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. One command from zero to "gbrain is running, and this agent can call it." Use when: "setup gbrain", "connect gbrain", "start gbrain", "install gbrain", "configure gbrain for this machine". (gstack)
Context Optimization
100This skill should be used when the user asks to "optimize context", "reduce token costs", "improve context efficiency", "implement KV-cache optimization", "partition context", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.