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Skill Template

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muratcankoylan
skill-template

Template for creating new Agent Skills for context engineering. Use this template when adding new skills to the collection.

Overview

Publishermuratcankoylan
RepositoryAgent-Skills-for-Context-Engineering
Skill nameskill-template
Stars
18K
Forks
1.5K
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by muratcankoylan on GitHub. Read the source before you install it.

Installation

Install the Skill Template AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering.git /tmp/Agent-Skills-for-Context-Engineering
mkdir -p .claude/skills
cp -r /tmp/Agent-Skills-for-Context-Engineering/template .claude/skills/skill-template
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Template in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Template on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Template is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill Name

Provide a clear, concise description of what this skill covers and when to use it. This description appears in skill discovery and should help agents (and humans) determine when this skill is relevant.

Important: Keep the total SKILL.md body under 500 lines for optimal performance. Move detailed reference material to separate files in the references/ directory.

Every skill body must make its ownership boundary explicit. The description and When to Activate section should say what the skill owns and which adjacent skills own nearby work. This prevents broad skills from stealing activation from narrower skills.

When to Activate

Describe specific situations, tasks, or contexts where this skill should be activated. Include both direct triggers (specific keywords or task types) and indirect signals (broader patterns that indicate skill relevance).

Write in third person. The description is injected into the system prompt, and inconsistent point-of-view can cause discovery problems.

  • Good: "Processes Excel files and generates reports"
  • Avoid: "I can help you process Excel files"

Include a short "Do not activate" block for adjacent skills. Example:

  • Do not activate for project-level pipeline shape: project-development.
  • Do not activate for individual tool schema design: tool-design.

Core Concepts

Explain the fundamental concepts covered by this skill. These are the mental models, principles, or frameworks that the skill teaches.

Default assumption: Claude is already very smart. Only add context Claude does not already have. Challenge each piece of information:

  • "Does Claude really need this explanation?"
  • "Can I assume Claude knows this?"
  • "Does this paragraph justify its token cost?"

Prefer behavior-changing mechanisms over general background. If a concept should be reusable across the corpus, add or update a record in researcher/mechanisms/registry.jsonl.

Detailed Topics

Topic 1

Provide detailed explanation of the first major topic. Include specific techniques, patterns, or approaches. Use examples to illustrate concepts.

Topic 2

Provide detailed explanation of the second major topic. Continue with additional topics as needed.

For longer topics, consider moving content to references/ and linking:

Practical Guidance

Provide actionable guidance for applying the skill. Include common patterns, anti-patterns to avoid, and decision frameworks for choosing between approaches.

Match the level of specificity to the task's fragility:

  • High freedom: Multiple approaches are valid, decisions depend on context
  • Medium freedom: Preferred pattern exists, some variation acceptable
  • Low freedom: Operations are fragile, specific sequence must be followed

Practical guidance should be executable by an agent: a workflow, checklist, decision table, or concrete operating rule. If a section only explains history or motivation, move it to references/.

Examples

Provide concrete examples that illustrate skill application. Examples should show before/after comparisons, demonstrate correct usage, or show how to handle edge cases.

Use input/output pairs for clarity:

Example:

Input: [describe input]
Output: [show expected output]

Guidelines

List specific guidelines to follow when applying this skill. These should be actionable rules that can be checked or verified.

  1. Guideline one with specific, verifiable criteria
  2. Guideline two with clear success conditions
  3. Continue as needed

Gotchas

List experience-derived failure modes, common mistakes, and counterintuitive behaviors. These are the highest-signal content in any skill. Each gotcha should be specific, actionable, and non-overlapping with guidance already in the skill body. Use numbered format:

  1. Short descriptive title: One to two sentences explaining what goes wrong and how to prevent it.
  2. Another gotcha title: Description of the failure mode and what to do instead.

Integration

Explain how this skill integrates with other skills in the collection. List related skills as plain text (not links) to avoid cross-directory reference issues:

  • skill-name-one - Brief description of relationship
  • skill-name-two - Brief description of relationship

References

Internal reference (use relative path to skill's own reference files):

Related skills in this collection:

  • skill-name - Relationship description

External resources:

  • Research papers, documentation, or guides

Numeric, benchmark, volatile, or vendor-performance claims need an inline claim-* ID backed by researcher/claims/index.jsonl, or they should be softened and moved to dated reference material.


Skill Metadata

Created: [Date] Last Updated: [Date] Author: [Author or Attribution] Version: [Version number]

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Template AI skill do?

Template for creating new Agent Skills for context engineering. Use this template when adding new skills to the collection.

Why use Skill Template on TypingMind?

Because you install it once and use it with any model. Skill Template is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Template in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering/tree/main/template. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Template?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Template?

As many as you like. As long as a model supports skills, you can use Skill Template with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Template AI skill free?

Yes. It is published on GitHub by muratcankoylan under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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