skills/make-skill-template/SKILL.md
Create new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new skill", "scaffold a skill", or when building specialized AI capabilities with bundled resources. Generates SKILL.md files with proper frontmatter, directory structure, and optional scripts/references/assets folders.
npx skillsauth add williamlimasilva/.copilot make-skill-templateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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A meta-skill for creating new Agent Skills. Use this skill when you need to scaffold a new skill folder, generate a SKILL.md file, or help users understand the Agent Skills specification.
Create a new folder with a lowercase, hyphenated name:
skills/<skill-name>/
└── SKILL.md # Required
Every skill requires YAML frontmatter with name and description:
---
name: <skill-name>
description: '<What it does>. Use when <specific triggers, scenarios, keywords users might say>.'
---
| Field | Required | Constraints |
|-------|----------|-------------|
| name | Yes | 1-64 chars, lowercase letters/numbers/hyphens only, must match folder name |
| description | Yes | 1-1024 chars, must describe WHAT it does AND WHEN to use it |
| license | No | License name or reference to bundled LICENSE.txt |
| compatibility | No | 1-500 chars, environment requirements if needed |
| metadata | No | Key-value pairs for additional properties |
| allowed-tools | No | Space-delimited list of pre-approved tools (experimental) |
CRITICAL: The description is the PRIMARY mechanism for automatic skill discovery. Include:
Good example:
description: 'Toolkit for testing local web applications using Playwright. Use when asked to verify frontend functionality, debug UI behavior, capture browser screenshots, or view browser console logs. Supports Chrome, Firefox, and WebKit.'
Poor example:
description: 'Web testing helpers'
After the frontmatter, add markdown instructions. Recommended sections:
| Section | Purpose |
|---------|---------|
| # Title | Brief overview |
| ## When to Use This Skill | Reinforces description triggers |
| ## Prerequisites | Required tools, dependencies |
| ## Step-by-Step Workflows | Numbered steps for tasks |
| ## Troubleshooting | Common issues and solutions |
| ## References | Links to bundled docs |
| Folder | Purpose | When to Use |
|--------|---------|-------------|
| scripts/ | Executable code (Python, Bash, JS) | Automation that performs operations |
| references/ | Documentation agent reads | API references, schemas, guides |
| assets/ | Static files used AS-IS | Images, fonts, templates |
| templates/ | Starter code agent modifies | Scaffolds to extend |
my-awesome-skill/
├── SKILL.md # Required instructions
├── LICENSE.txt # Optional license file
├── scripts/
│ └── helper.py # Executable automation
├── references/
│ ├── api-reference.md # Detailed docs
│ └── examples.md # Usage examples
├── assets/
│ └── diagram.png # Static resources
└── templates/
└── starter.ts # Code scaffold
make-skill-template/ folderSKILL.md:
name: to match folder namedescription:npm run skill:validatename field matches folder name exactlydescription is 10-1024 charactersdescription explains WHAT and WHENdescription is wrapped in single quotes| Issue | Solution | |-------|----------| | Skill not discovered | Improve description with more keywords and triggers | | Validation fails on name | Ensure lowercase, no consecutive hyphens, matches folder | | Description too short | Add capabilities, triggers, and keywords | | Assets not found | Use relative paths from skill root |
development
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.
development
Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
devops
Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.
devops
Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.