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Skill Updater

CommunityPopular
dp-archive
skill-updater

Update existing skills based on feedback. Use when users want to improve or modify an existing skill by providing feedback about what needs to change. Triggers on requests like "update this skill", "improve the skill based on feedback", "fix the skill", or when users provide feedback about skill performance.

Overview

Publisherdp-archive
Repositoryarchive
Skill nameskill-updater
Stars
1.1K
Forks
100
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

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

  • Open source

    Published by dp-archive on GitHub. Read the source before you install it.

Installation

Install the Skill Updater 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/dp-archive/archive/tree/main/seed_skills/skill-updater
  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/dp-archive/archive.git /tmp/archive
mkdir -p .claude/skills
cp -r /tmp/archive/seed_skills/skill-updater .claude/skills/skill-updater
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Updater 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 Updater 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 Updater 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 Updater

This skill provides guidance for updating existing skills based on user feedback.

When to Use

Use this skill when:

  • User provides feedback about an existing skill's performance
  • User wants to improve or modify a skill
  • User reports issues or bugs with a skill
  • User wants to add new functionality to an existing skill

Required Inputs

  1. Skill Path: Path to the skill directory or .skill file to update
  2. Feedback: Description of what needs to change, improve, or be fixed

Update Process

Step 1: Load and Understand the Skill

Use the analyze_skill.py script to get a quick overview:

bash
scripts/analyze_skill.py <skill-path>

This shows:

  • Skill name and description
  • SKILL.md line/word count
  • All bundled resources (scripts/, references/, assets/)
  • Any structural issues

Then read SKILL.md to understand the detailed instructions:

bash
cat <skill-path>/SKILL.md

For .skill files (zip archives), extract first:

bash
unzip <skill-path>.skill -d /tmp/skill-extract/

Step 2: Analyze the Feedback

Categorize the feedback into one or more types:

TypeExample FeedbackTypical Changes
Bug fix"The script fails when..."Fix scripts, add error handling
Missing feature"It should also support..."Add new functionality
Clarity"Instructions are confusing"Improve SKILL.md documentation
Performance"Too slow/uses too much context"Optimize scripts, reduce SKILL.md
Trigger"Doesn't activate when I say..."Update description in frontmatter

Step 3: Plan the Changes

Before making changes, create a clear plan:

  1. List specific files to modify
  2. Describe what changes each file needs
  3. Identify any new files to create or files to delete
  4. Consider impact on other parts of the skill

Step 4: Implement Changes

Apply changes following skill design principles:

For SKILL.md changes:

  • Keep body under 500 lines
  • Use imperative form
  • Move detailed content to references/ if approaching limit
  • Ensure frontmatter description captures all trigger scenarios

For script changes:

  • Test scripts after modification
  • Maintain existing interfaces unless feedback requires changes
  • Add error handling for reported edge cases

For reference changes:

  • Keep references one level deep from SKILL.md
  • Update SKILL.md to reference new files

Step 5: Validate and Package

After implementing changes:

bash
# Validate the skill
scripts/quick_validate.py <skill-path>

# Package if validation passes
scripts/package_skill.py <skill-path>

Common Update Patterns

Pattern 1: Fixing Script Bugs

  1. Read the failing script
  2. Identify the bug based on feedback
  3. Apply fix
  4. Test with the scenario from feedback
  5. Package

Pattern 2: Improving Trigger Accuracy

  1. Review current frontmatter description
  2. Identify missing trigger phrases from feedback
  3. Update description to include new triggers
  4. Ensure description remains concise (<100 words)

Pattern 3: Adding New Functionality

  1. Determine if new functionality needs:
    • New script in scripts/
    • New reference in references/
    • New asset in assets/
    • Updates to SKILL.md instructions
  2. Implement required components
  3. Update SKILL.md to document new functionality
  4. Test end-to-end

Pattern 4: Reducing Context Usage

  1. Identify verbose sections in SKILL.md
  2. Move detailed content to references/
  3. Replace with concise summary + link
  4. Remove redundant examples
  5. Verify skill still functions correctly

Best Practices

  • Minimal changes: Only change what the feedback requires
  • Test after changes: Run scripts and validate skill structure
  • Preserve intent: Maintain the skill's original purpose
  • Document changes: Update SKILL.md if behavior changes
  • Version awareness: If the skill has users, consider backward compatibility

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 Updater AI skill do?

Update existing skills based on feedback. Use when users want to improve or modify an existing skill by providing feedback about what needs to change. Triggers on requests like "update this skill", "improve the skill based on feedback", "fix the skill", or when users provide feedback about skill performance.

Why use Skill Updater on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dp-archive/archive/tree/main/seed_skills/skill-updater. 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 Updater?

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 Updater?

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

Is the Skill Updater AI skill free?

Yes. It is published on GitHub by dp-archive under the Apache-2.0 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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