write-a-skill/SKILL.md
Guides creation of new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.
npx skillsauth add kayaman/skills write-a-skillInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Gather requirements - ask user about:
Draft the skill - create:
Review with user - present draft and ask:
skill-name/
├── SKILL.md # Main instructions (required)
├── reference.md # Detailed docs (if needed)
├── examples.md # Usage examples (if needed)
└── scripts/ # Utility scripts (if needed)
└── helper.js
---
name: skill-name
description: Brief description of capability. Use when [specific triggers].
---
# Skill Name
## Quick start
[Minimal working example]
## Workflows
[Step-by-step processes with checklists for complex tasks]
## Advanced features
[Link to separate files: See [reference.md](reference.md)]
The description is the only thing your agent sees when deciding which skill to load. It's surfaced in the system prompt alongside all other installed skills. Your agent reads these descriptions and picks the relevant skill based on the user's request.
Goal: Give your agent just enough info to know:
Format:
Good example:
Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when user mentions PDFs, forms, or document extraction.
Bad example:
Helps with documents.
The bad example gives your agent no way to distinguish this from other document skills.
Add utility scripts when:
Scripts save tokens and improve reliability vs generated code.
Split into separate files when:
After drafting, verify:
tools
Guidance for designing charts, graphs, plots, dashboards, and data visualizations that communicate clearly and persuade. Use when creating or reviewing a visualization, choosing a chart type, picking a color palette, decluttering a busy graphic, fixing misleading axes or proportions, building a dashboard, annotating a figure, or turning data into a presentation, report, or data-driven story. Grounded in the standard data-visualization literature (Knaflic, Tufte, Cleveland & McGill, Cairo, Wilke, Munzner, Few, Berinato). Covers chart selection, graphical perception and encoding, color and accessibility, decluttering, graphical integrity, dashboards, and narrative. Does NOT cover building data pipelines or ETL, statistical modeling or analysis methods, BI tool/vendor selection, or general UI/UX layout (see ux-design-principles). Tool-agnostic, with optional Python recipes.
development
Architect and implement production-grade microservices systems in TypeScript (NestJS) and Python (FastAPI), including resilience, observability, testing, deployment, and migration guidance.
development
--- name: databricks-genie-spaces-best-practices description: Design, configure, curate, govern, monitor, and integrate Databricks AI/BI Genie Spaces — the natural-language-to-SQL surface over Unity Catalog. Covers space scoping, general instructions, parameterized example SQL, SQL functions, trusted assets, JOIN configuration, knowledge store, certified queries, benchmarks, monitoring tab, feedback loops, the Genie Conversation API, governance via Unity Catalog (row filters, column masks, embed
tools
Implement OTP and passwordless authentication on AWS for TypeScript projects using Cognito CUSTOM_AUTH triggers (default) or a custom DynamoDB-backed flow, with SES (email) and SNS (SMS) delivery. Use when the user mentions OTP, one-time password, passwordless login, magic link, Cognito custom auth, DefineAuthChallenge, CreateAuthChallenge, VerifyAuthChallengeResponse, SES verification email, SNS SMS code, or MFA over email/SMS. Covers architecture decision (Cognito vs custom), Lambda trigger handlers, SES/SNS notifiers, DynamoDB schema with TTL, rate limiting, constant-time comparison, threat model (enumeration, replay, brute force), and aws-sdk-client-mock testing.