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Sylph Create Skill

Organization
getnao
sylph-create-skill

Create a new skill from scratch. Generates the SKILL.md, registers it in AGENTS.md, and sets up the content folder structure.

Overview

Publishergetnao
Repositorysylph
Skill namesylph-create-skill
Stars
216
Forks
62
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Sylph Create Skill 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.
    https://github.com/getnao/sylph/tree/main/.claude/skills/sylph-create-skill
  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/getnao/sylph.git /tmp/sylph
mkdir -p .claude/skills
cp -r /tmp/sylph/.claude/skills/sylph-create-skill .claude/skills/sylph-create-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sylph Create Skill 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 Sylph Create Skill 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 Sylph Create Skill 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.

Create Skill

When to use

Run /sylph-create-skill <name> when the CAO wants to add a new skill that doesn't exist yet.

Usage

/sylph-create-skill social-listening
/sylph-create-skill competitor-analysis

Step 1: Understand the skill

Ask the CAO ONE question:

What should [skill-name] do? (2-3 sentences is enough)

From her answer, derive:

  • Purpose: what problem does it solve?
  • Domain: which area does it belong to? (content, sales, product, brand, finance, hr, legal, ops, events, writing, agents)
  • Trigger: when would someone invoke it? (on-demand, daily, event-triggered)
  • Inputs: what does it need to run? (a topic, a file, a customer name, nothing)
  • Outputs: what does it produce? (a draft, a report, an issue, a Slack message)
  • MCP connectors: which external tools does it need?

Step 2: Create the skill file

Create .claude/skills/<skill-name>/SKILL.md with this structure:

markdown
---
name: <skill-name>
description: <one line - what it does and when to use it>
---

# <Skill Title>

## MCP connectors

| Connector | Purpose |
|-----------|---------|
| [tool] | [what it's used for] |

## Context loading

1. Read [relevant files] for context
2. Read `_insights.md` for the domain (if exists)
3. Read `_examples/` for quality reference (if exists)

## Arguments

| Argument | What it does |
|----------|-------------|
| [arg] | [description] |

## Execution

1. [Step 1]
2. [Step 2]
3. [Step 3]

## Guardrails

- [Safety rule 1]
- [Safety rule 2]
- **Never publish or send directly** - always save to `_drafts/`

## Self-improvement

After the CAO reviews and approves the output:

1. Move the final version from `_drafts/` to `_published/`
2. Diff what was drafted vs what the CAO kept - identify patterns in her edits
3. Update `_insights.md` with what worked, what she changed, and why
4. If her edits reveal a recurring pattern or new rule, add it to this skill file
5. If the output was a top performer, promote it to `_examples/`

Skill file rules

  • Flat path: .claude/skills/<skill-name>/SKILL.md - one level only, no subdirectories
  • YAML frontmatter required: name and description fields
  • MCP connectors table: always include, even if empty ("None required")
  • Guardrails section: always include - every skill must define what it does NOT do
  • No em dashes: use - or :

Step 3: Create the content folder (if applicable)

If the skill produces content, create the folder structure:

<domain>/<channel>/
  _drafts/          # where new content goes
  _published/       # approved content archive
  _examples/        # best-performing pieces (few-shot reference)
  _insights.md      # channel learnings (create empty with header)

Not all skills need a content folder. Agent skills, ops skills, and tool skills may just use agents/<name>/_logs/.

Step 4: Register the skill

Add the skill to the index table in AGENTS.md (section 8):

markdown
| <skill-name> | <domain> | `.claude/skills/<skill-name>/SKILL.md` |

Insert in alphabetical order within the domain group.

Step 5: Create the setup guide (optional)

If the skill needs configuration (MCP connections, examples, voice derivation), create a setup guide at .claude/skills/sylph-setup-skill/setup-<skill-name>.md and add it to the dispatch table in sylph-setup-skill/SKILL.md.

Only create a setup guide if the skill requires initial configuration. Simple on-demand skills don't need one.

Step 6: Add the self-improvement loop (mandatory)

Every skill MUST have a ## Self-improvement section as its last section. This is what makes Sylph a self-improving system instead of a static prompt library.

Add this section to the skill file you created in Step 2:

markdown
## Self-improvement

After the CAO reviews and approves the output:

1. Move the final version from `_drafts/` to `_published/`
2. Diff what was drafted vs what the CAO kept - identify patterns in her edits
3. Update the relevant `_insights.md` with what worked, what she changed, and why
4. If her edits reveal a recurring pattern or new rule, add it to this skill file
5. If the output was a top performer, promote it to `_examples/` with annotated frontmatter

Adapt the wording to fit the skill's output type:

  • Content skills (posts, emails, articles): focus on voice, structure, and tone patterns
  • Agent/routine skills (CoS, CSM, EA): focus on format, scope, and prioritization patterns
  • Analysis skills (reports, screening, reviews): focus on depth, framing, and what the CAO found useful vs noise
  • Ops skills (CRM, docs updates): focus on process efficiency and what the CAO corrected

The key principle: the skill improves because the CAO's edits are signal. Capture what she changed and why, then bake that into the skill's rules and the domain's insights.

Step 7: Test

Generate one piece of output using the new skill. Ask the CAO to review. Capture any corrections in the skill file or _insights.md.


Checklist

Before finishing, verify:

  • SKILL.md exists at .claude/skills/<skill-name>/SKILL.md
  • Frontmatter has name and description
  • MCP connectors table is present
  • Guardrails section is present
  • Self-improvement section is present (mandatory)
  • Skill is registered in AGENTS.md section 8
  • Content folder created (if applicable)
  • Test output generated and reviewed

Frequently asked questions

What does the Sylph Create Skill AI skill do?

Create a new skill from scratch. Generates the SKILL.md, registers it in AGENTS.md, and sets up the content folder structure.

Why use Sylph Create Skill on TypingMind?

Because you install it once and use it with any model. Sylph Create Skill 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 Sylph Create Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/getnao/sylph/tree/main/.claude/skills/sylph-create-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sylph Create Skill?

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 Sylph Create Skill?

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

Is the Sylph Create Skill AI skill free?

It is published on GitHub by getnao. Check the repository for licensing terms. 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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