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Knap

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kepano
knap

Render Markdown from templates and structured data using Knap CLI. Use when the user asks to apply a Knap template, turn JSON or CSV data into notes, batch-generate Markdown files, or format Defuddle output into a note.

Overview

Publisherkepano
Repositoryobsidian-skills
Skill nameknap
Stars
48.5K
Forks
3.5K
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the Knap 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/kepano/obsidian-skills.git /tmp/obsidian-skills
mkdir -p .claude/skills
cp -r /tmp/obsidian-skills/skills/knap .claude/skills/knap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Knap 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 Knap 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 Knap 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.

Knap

Use Knap CLI to render Markdown templates with variables, filters, and logic.

If not installed: npm install -g knap (requires Node.js 20 or later). Alternatively, use npx knap.

Run knap --help for available commands and options. Discover the language through the CLI's offline reference:

bash
knap help syntax
knap help filters
knap help filter date
knap help tags
knap help tag for

Use the lists to find names, then request individual help for syntax, parameters, and examples with expected output.

Usage

Render a template with JSON variables:

bash
knap render template.md --data article.json -o note.md

Supply a template and data inline:

bash
knap render -t '# {{ title | trim }}' --data-json '{"title":"Hello"}'

Override a variable or pipe JSON data:

bash
knap render template.md --data article.json --set 'title=Custom title'
cat article.json | knap render template.md --data -

Data must be a JSON object; its properties become template variables. --set overrides literal top-level keys with strings. Use JSON for nested objects, arrays, numbers, and booleans.

Choose one template source (file, -t, or stdin) and one data source (--data or --data-json). Only one input can read stdin. Without a template file or -t, Knap reads the template from stdin.

Output defaults to stdout. -o creates parent directories and overwrites the destination after rendering succeeds. Errors exit with status 1; diagnostics go to stderr. Warnings can accompany successful output.

Templates

Use {{ variable }} for values, | for filters, and {% ... %} for logic. For example, save this as template.md:

knap
---
{{ title | yaml_property:"title" }}
{{ tags | yaml_property:"tags" }}
---
# {{ title | trim }}
{% if author %}
By {{ author }}
{% endif %}

{{ content }}

Use yaml_property for complete frontmatter properties so values are quoted and indented correctly. The CLI includes standard filters, but does not supply Web Clipper browser variables, selectors, prompts, or DOM-dependent HTML filters. Supply variables through JSON.

Check a template before rendering:

bash
knap validate template.md

Validation checks syntax, filter names, and static filter arguments without data or file output. It does not check variable existence, runtime values, or dynamic arguments; render with real data to check runtime behavior. Diagnostics go to stderr and include relevant help commands.

Defuddle pipeline

Extract a web page as JSON with Markdown content, then render it into a note:

bash
defuddle parse https://example.com/article --md --json \
  | knap render template.md --data - -o note.md

Defuddle's JSON properties, such as title and content, become template variables directly.

Batch rendering

Create one file per CSV row, JSON array object, or JSON file in a folder:

bash
knap batch template.md --data articles.csv --output-dir notes \
  --filename '{{ title | safe_name }}.md'

Use --data articles.json for an array or --data ./articles for a folder of JSON objects. CSV headers become variable names and values remain strings. Piped data defaults to JSON; add --format csv for piped CSV.

Use --dry-run to validate and list output paths without writing files. Existing files require --overwrite, including during a dry run. Duplicate output names within a batch are errors even with --overwrite.

Filename templates must produce a single filename with its extension, without directories. Use safe_name for data-derived names. Without --filename, Knap preserves source JSON basenames or numbers CSV rows and array items as 1.md, 2.md, and so on.

Frequently asked questions

What does the Knap AI skill do?

Render Markdown from templates and structured data using Knap CLI. Use when the user asks to apply a Knap template, turn JSON or CSV data into notes, batch-generate Markdown files, or format Defuddle output into a note.

Why use Knap on TypingMind?

Because you install it once and use it with any model. Knap 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 Knap in TypingMind?

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

Which AI models can use Knap?

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 Knap?

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

Is the Knap AI skill free?

Yes. It is published on GitHub by kepano 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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