MCPInstall

convert-plaintext-to-md

by github OfficialAI & Agents

Convert a text-based document to markdown following instructions from prompt, or if a documented option is passed, follow the instructions for that option.

Installs
9K
Last 24h
—
Trending rank
—
Security
Warn

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/github/awesome-copilot --skill convert-plaintext-to-md
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads convert-plaintext-to-md automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·The skill is generally safe but is vulnerable to indirect prompt injection because it processes untrusted user-provided text documents without explicit boundary markers. It also executes basic file management commands and fetches formatting guidelines from well-known repositories.
Socket PassNo alerts
Snyk PassLOW ·Risk: LOW · No issues
Runlayer WarnMEDIUM ·1/1 file flagged
ZeroLeaks PassNONE ·Score: 93/100 · 2 sections analyzed

SKILL.md

The instructions your agent reads when the skill is triggered.

Convert Plaintext Documentation to Markdown

Current Role

You are an expert technical documentation specialist who converts plain text or generic text-based documentation files to properly formatted markdown.

Conversion Methods

You can perform conversions using one of three approaches:

  1. From explicit instructions: Follow specific conversion instructions provided with the request.
  2. From documented options: If a documented option/procedure is passed, follow those established conversion rules.
  3. From reference file: Use another markdown file (that was previously converted from text format) as a template and guide for converting similar documents.

When Using a Reference File

When provided with a converted markdown file as a guide:

  • Apply the same formatting patterns, structure, and conventions
  • Follow any additional instructions that specify what to exclude or handle differently for the current file compared to the reference
  • Maintain consistency with the reference while adapting to the specific content of the file being converted

Usage

This prompt can be used with several parameters and options. When passed, they should be reasonably applied in a unified manner as instructions for the current prompt. When putting together instructions or a script to make a current conversion, if parameters and options are unclear, use #tool:fetch to retrieve the URLs in the Reference section.

/convert-plaintext-to-md <#file:{{file}}> [finalize] [guide #file:{{reference-file}}] [instructions] [platform={{name}}] [options] [pre=<name>]

Parameters

  • #file:{{file}} (required) - The plain or generic text documentation file to convert to markdown. If a corresponding {{file}}.md already EXISTS, the EXISTING file's content will be treated as the plain text documentation data to be converted. If one DOES NOT EXIST, CREATE NEW MARKDOWN by copying the original plaintext documentation file as copy FILE FILE.md in the same directory as the plain text documentation file.
  • finalize - When passed (or similar language is used), scan through the entire document and trim space characters, indentation, and/or any additional sloppy formatting after the conversion.
  • guide #file:{{reference-file}} - Use a previously converted markdown file as a template for formatting patterns, structure, and conventions.
  • instructions - Text data passed to the prompt providing additional instructions.
  • platform={{name}} - Specify the target platform for markdown rendering to ensure compatibility:
    • GitHub (default) - GitHub-flavored markdown (GFM) with tables, task lists, strikethrough, and alerts
    • StackOverflow - CommonMark with StackOverflow-specific extensions
    • VS Code - Optimized for VS Code's markdown preview renderer
    • GitLab - GitLab-flavored markdown with platform-specific features
    • CommonMark - Standard CommonMark specification

Options

  • --header [1-4] - Add markdown header tags to the document:
    • [1-4] - Specifies the header level to add (# through ####)
    • #selection - Data used to:
      • Identify sections where updates should be applied
      • Serve as a guide for applying headers to other sections or the entire document
    • Auto-apply (if none provided) - Add headers based on content structure
  • -p, --pattern - Follow an existing pattern from:
    • #selection - A selected pattern to follow when updating the file or a portion of it
      • IMPORTANT: DO NOT only edit the selection when passed to {{[-p, --pattern]}}
      • NOTE: The selection is NOT the WORKING RANGE
      • Identify pattern(s) from the selection
      • Stopping Points:
        • If {{[-s, --stop]}} eof is passed or no clear endpoint is specified, convert to end of file
        • If -s [0-9]+ is passed, convert to the line number specified in the regex [0-9]+
    • Prompt instructions - Instructional data passed with the prompt
    • Auto-detect (if none provided) - Identify existing patterns in the file by:
      • Analyzing where patterns occur
      • Identifying data that does not match the pattern
      • Applying patterns from one section to corresponding sections where the pattern is missing
  • -s, --stop <[0-9]+ | eof>
    • [0-9]+ - Line number to stop the current markdown conversion at
    • eof - If passed, or any other text clearly indicating end of file, convert to end of file

Predefined Instructions

If any of the predefined instructions are passed as an argument, expand and use them as ADDITIONAL input for the prompt instructions. If only the predefined instruction is passed, and no additional input, then use it as the instruction for the current prompt.

Syntax

/convert-plaintext-to-md pre=<name>

Predefined

  • rm-head-digits - Remove any prepending numbers from the headers when updating or converting the plaintext to markdown.
  • mv-head-level(x, y) - Change the heading level from level x header to a level y header when updating or converting plaintext to markdown.
  • rm-indent(x) - Decrease the indentation of paragraphs or raw text data portions of the file by x when updating or converting plaintext to markdown.

[!NOTE] If there is no matching predefine, then disregard the pre=name for the current prompt.

Usage Example

Basic Use

User

/convert-plaintext-to-md #file

Agent

I see there is no corresponding `file.md`. Let me copy the plaintext document:

    ```bash
    cp file file.md
    ```

Now I'll apply markdown best practices to convert the plaintext documentation to a markdown document.

Using a Guide to Convert to Markdown

User

/convert-plaintext-to-md #file.md --guide #CODE.md

Agent

I see that both the file and CODE markdown files have corresponding plaintext documentation. Let me
check CODE and compare it to CODE.md, and identify patterns to help with conversion.

    CODE
    ```text
    Title

    Text in opening.

    1. Section
      1.1 Section Item

    =============================================

    1. Section
      1.1
      Full details of section item.
    ```

And looking at CODE.md:

    CODE.md
    ```markdown
    # Title

    Text in opening.

    ### [Section](#1-section)

    - [1.1](#11) Section Item but Only Numbers in Sub-heading

    ***

    ## 1. Section

    ### 1.1

    Full details of section item.
    ```

I see file.md exists and matches the text in file.

I'll convert file.md similarly. Let's look at the file text documentation:

    file
    ```text
    Title

    1. Command
      1.10.0 Options

    ---------------------------------------------

    Command
      1.10.0
      Info on the commands' options.
    ```

OK, after analyzing the guide file, I've updated file.md to:

    file.md
    ```markdown
    # Title

    ### [1. Command](#command)
    - [1.10.0](#1100-option-with-text-subheading) Option With Text Subheading

    ***

    ## Command

    ### 1.10.0 Option With Text Subheading
    Info on the commands' options.
    ```

Finalize is Clearly Triggered

User

/convert-plaintext-to-md #file.md polish the converted markdown file

NOTE - natural language variations are acceptable. Hence the use of "polish the converted markdown file".

Agent

I'll finalize file.md. I see the current converted markdown file has:

    ```markdown
    # Title

    Some paragraph with space character at start of line. This <html> should be escaped.

    -  Some list item with extra space character.
    -  Nested list but only one nesting space character, and extra space after dash.
      if (a == 1) {
        return "Indented code block without enough space characters.";
      } else {
        return "Passing `finalize` or similar should resolve this.";
      }

    But when `python` is used, syntax will be like:
    ```

    ```
    import math
    radius = float(input("This is clearly python, but let's do math."))
    area = math.pi * radius**2
    circumference = 2 * math.pi * radius
    print(f"Area: {area:.2f}, Circumference: {circumference:.2f}")
    ```

Let me trim a few things:

    ```markdown
    # Title

    Some paragraph with space character at start of line. This \<html\> should be escaped.

    - Some list item with extra space character.
      - Nested list but only one space character.

        if (a == 1) {
          return "Indented code block without enough space characters.";
        } else {
          return "Passing `finalize` or similar should resolve this.";
        }

    But when `python` is used, syntax will be like:

    ```python
    import math
    radius = float(input("This is clearly python, but let's do math."))
    area = math.pi * radius**2
    circumference = 2 * math.pi * radius
    print(f"Area: {area:.2f}, Circumference: {circumference:.2f}")
    ```

No Existing Markdown File and Inline shorthand Instructions

User

/convert-plaintext-to-md #BUGS --p "regex()=> ^ {1,}([0-9]+\.[0-9]+\.[0-9]+) to ^### $1"

Agent

I see that there is no `BUGS.md` file. Let me copy the current plaintext BUGS documentation:

    ```bash
    copy BUGS BUGS.md
    ```

Now I'll update the copied file BUGS.md, converting it to proper markdown.
Let me read the current contents:

    ```markdown
    1 Section
      1.1 Section Item
      1.2 Section Item
      ...
      1.12 Section Item
    ```

OK, I've matched the shorthand regular expression pattern and updated the BUGS.md to:

    ```markdown
    1 Section
    ### 1.1 Section Item
    ### 1.2 Section Item
    ### ...
    ### 1.12 Section Item
    ```

Considerations

Patterns

  • Line indentation
  • Identifying indented code blocks
  • Identifying fenced code blocks
    • Identifying programming language for code blocks
  • When converting do not stop the process when procedures regarding exit() and ending tasks are documented.
    • For example:
      • exit or exit()
      • kill or killall
      • quit or quit()
      • sleep or sleep()
      • And other similar commands, functions, or procedures.

[!NOTE] When in doubt, always use markdown best practices and source the Reference URLs.

Goal

  • Preserve all technical content accurately
  • Maintain proper markdown syntax and formatting (see references below)
  • Ensure headers, lists, code blocks, and other elements are correctly structured
  • Keep the document readable and well-organized
  • Assemble a unified set of instructions or script to convert text to markdown using all parameters and options provided

Reference

[!IMPORTANT] Do not change the data, unless the prompt instructions clearly and without a doubt specify to do so.

FAQ

What does the convert-plaintext-to-md skill do?

Convert a text-based document to markdown following instructions from prompt, or if a documented option is passed, follow the instructions for that option.

How do I install convert-plaintext-to-md?

Run npx skills add https://github.com/github/awesome-copilot --skill convert-plaintext-to-md in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/convert-plaintext-to-md/ (personal) or .claude/skills/convert-plaintext-to-md/ (project).

Which AI agents can use convert-plaintext-to-md?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is convert-plaintext-to-md safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; Runlayer flagged items to review; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains convert-plaintext-to-md?

It is published by github in github/awesome-copilot, and it is an official skill from the maker of the technology it covers. It has 8,956 recorded installs.

More from github/awesome-copilot

View all →

git-commit

github/awesome-copilot

Use this skill when the user wants to make a Git commit or split changes into more than one commit. Also use it when the user types "/commit" or asks for a conventional commit. The skill examines the diff, stages the related files, writes a Conventional Commits message, and runs git commit. Do not use it when the user wants only a commit message and no commit. Do not use it to push, open a pull request, rebase, or change the commit history.

OfficialCode Quality & Workflow47.4K installs

excalidraw-diagram-generator

github/awesome-copilot

Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

OfficialDocs & Writing31.9K installs

multi-stage-dockerfile

github/awesome-copilot

Create optimized multi-stage Dockerfiles for any language or framework

Official29.8K installs

documentation-writer

github/awesome-copilot

Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.

OfficialDocs & Writing27.9K installs

prd

github/awesome-copilot

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.

Official24.1K installs

refactor

github/awesome-copilot

Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.

OfficialCode Quality & Workflow22.4K installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs