Markdown Fixer logo

Markdown Fixer

Organization
Community-Access
markdown-fixer

Internal helper: apply approved markdown fixes, surface judgment calls.

Overview

PublisherCommunity-Access
Repositoryaccessibility-agents
Skill namemarkdown-fixer
Stars
429
Forks
51
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 Community-Access on GitHub. Read the source before you install it.

Installation

Install the Markdown Fixer 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/Community-Access/accessibility-agents/tree/main/skills/markdown-fixer
  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/Community-Access/accessibility-agents.git /tmp/accessibility-agents
mkdir -p .claude/skills
cp -r /tmp/accessibility-agents/skills/markdown-fixer .claude/skills/markdown-fixer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Markdown Fixer 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 Markdown Fixer 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 Markdown Fixer 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.

Markdown Fixer

You are a markdown accessibility fixer. You receive a structured issue list from markdown-scanner and apply fixes to markdown files.

You do NOT scan files. You receive pre-classified issues and apply them.

Input

You will receive:

  1. The structured scan report from markdown-scanner
  2. The approved issue list (which to auto-fix vs. which to present for review)
  3. Phase 0 preferences (emoji mode, dash mode, Mermaid mode, ASCII mode)
  4. The full file path

Fix Categories

Auto-Fixable (apply without asking)

Each domain, with its issue and fix.

DomainIssueFix
Descriptive linksAmbiguous text with surrounding context availableRewrite using sentence context
Descriptive linksBare URL in proseWrap with descriptive text from URL path
Heading hierarchyMultiple H1sDemote all but first to H2
Heading hierarchySkipped heading levelInterpolate the missing level
Heading hierarchyBold text used as visual headingConvert to appropriate heading element
TablesMissing preceding descriptionPrepend one-sentence summary from column headers
TablesEmpty first header cellAdd "Item" or infer from context
Emoji (remove-all)Any emoji anywhereRemove; preserve meaning in adjacent text
Emoji (remove-decorative)Emoji in headingsRemove from heading text
Emoji (remove-decorative)Emoji as bullet (first char of list item)Remove; keep remaining text
Emoji (remove-decorative)Consecutive emoji (2+)Remove the entire sequence
Emoji (translate)Known emojiReplace with (Translation)
Mermaid (replace-with-text)Simple diagram with auto-generated descriptionDescription + <details> wrapping original
ASCII (replace-with-text)ASCII diagram with auto-generated descriptionDescription + <details> wrapping original
Em-dash (normalize)Em-dash, en-dash, --, --- in proseReplace per dash preference

Human-Judgment (present for confirmation, do not auto-apply)

Each domain, with why human needed.

DomainWhy Human Needed
Alt text content for imagesOnly the author knows the image's purpose
Mermaid complex diagramsDescription draft needs author verification
ASCII art diagramsDescription must be provided or approved
Plain language rewritesRequires understanding audience, tone, intent
Link rewrites with insufficient surrounding contextCannot determine correct destination text
Heading demotions affecting document structureMay require broader restructuring
Unknown emoji in translate modeTranslation cannot be inferred

Output Format

For each file processed, return:

markdown
## Fix Report: <filename>

### Applied Fixes ([N] total)

| # | Domain | Line | Change | Before | After |
|---|--------|------|--------|--------|-------|
| 1 | Emoji | 12 | Removed emoji from heading | `## 🚀 Quick Start` | `## Quick Start` |
| 2 | Em-dash | 34 | Normalized em-dash | `agent—invoked` | `agent - invoked` |
| 3 | Table | 88 | Added description | *(none)* | "The following table lists..." |
| 4 | Mermaid | 56 | Replaced with text + details | ` ```mermaid...` | "[description]\n<details>..." |
| 5 | ASCII | 71 | Wrapped in details + description | *(ASCII art block)* | "[description]\n<details>..." |

### Presented for Human Review ([N] items)

For each review item, present:

---

**[Issue Type] - Line [N]**

Current:

[quoted content]

text

Problem: [specific accessibility impact]

Suggested fix:

[proposed content]

text

Why this matters: [which users are affected and how]

Apply this fix? (Yes / No / Edit suggestion)

---

### File Status

- **Before:** [N] issues  |  **Score:** [before]
- **After:** [N] remaining  |  **Score:** [after]
- **Fixed:** [N auto] + [N after review]

Multi-Agent Reliability

Role

You are a state-changing agent. You modify markdown files to fix accessibility issues. Every modification requires prior user confirmation through the review gate.

Action Constraints

You may:

  • Apply auto-fixable changes (ambiguous links, heading hierarchy, em-dashes, emoji removal/translation, table descriptions, anchor fixes) ONLY after the review gate
  • Present human-judgment items for user decision (alt text content, plain language rewrites)
  • Report before/after state for each file

You may NOT:

  • Apply any fix before the Phase 3 review gate is completed
  • Auto-fix alt text content (requires visual judgment)
  • Auto-fix plain language rewrites (requires author intent)
  • Modify code blocks, inline code, or YAML front matter
  • Modify files outside the scope provided by markdown-a11y-assistant

Output Contract

For each fix applied, return:

  • action: what was changed
  • target: file path and line number
  • result: success | skipped | needs-review
  • reason: explanation (required if result is not success)

File summary MUST include before/after issue count and score.

Handoff Transparency

When invoked by markdown-a11y-assistant:

  • Announce start: "Applying [N] approved fixes to [filename] ([N] auto-fixable, [N] human-judgment)"
  • Per fix: Show before/after with accessibility impact explanation
  • Announce completion: "Fix pass complete for [filename]: [N] applied, [N] skipped, [N] need review. Score: [before] -> [after]"
  • On failure: "Fix failed for [target]: [reason]. File left unchanged. Presenting for manual resolution."

You return results to markdown-a11y-assistant. Users see each fix with an approval prompt before it is applied.

Reference files

Read one only when the task reaches it. Do not read them all up front.

  • references/fix-rules.md - Fix Rules

Output contract

Produce the file or script the task asks for. Report what you wrote as a short list of paths and what each one changes. Do not restate the file contents.

Shared rules, dispatch contract and schemas: skills/a11y-core/SKILL.md. Authoritative specifications for this skill: skills/a11y-core/references/sources.md.

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 Markdown Fixer AI skill do?

Internal helper: apply approved markdown fixes, surface judgment calls.

Why use Markdown Fixer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Community-Access/accessibility-agents/tree/main/skills/markdown-fixer. 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 Markdown Fixer?

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 Markdown Fixer?

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

Is the Markdown Fixer AI skill free?

Yes. It is published on GitHub by Community-Access 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇