Megatron Migration Generator

Organization

Ascend

megatron-migration-generator

Generate migration deliverables for bringing relevant Megatron changes into MindSpeed after branch alignment and impact mapping are complete. Use when Codex already has a confirmed MindSpeed-to-Megatron branch pairing and needs to produce a migration report, candidate patch, or guarded workspace edits instead of redoing upstream analysis from scratch.

Overview

Publisher	Ascend
Repository	`agent-skills`
Skill name	`megatron-migration-generator`
Stars	54
Forks	4
Bundled files	6
License	MulanPSL-2.0
Links	Skill source Repository

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.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Ascend on GitHub. Read the source before you install it.

Installation

Install the Megatron Migration Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Ascend/agent-skills/tree/master/skills/megatron-migration-generator
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.

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/Ascend/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/megatron-migration-generator .claude/skills/megatron-migration-generator

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Megatron Migration Generator 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 Megatron Migration Generator 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 Megatron Migration Generator 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.

Megatron Migration Generator

Generate implementation-oriented migration artifacts for MindSpeed only after upstream change analysis and impact mapping have narrowed the work to a high-confidence set of items. The goal is to port the upstream feature into MindSpeed with the upstream commit as the primary reference, not to emit a tiny patch hint.

Default Output Mode

Default to report + patch, and generate the final markdown deliverable in Chinese unless the user explicitly requests another locale.

Do not default to direct code edits or automatic commits. Default to an implementation-first package, not a minimal patch sketch.

Supported Modes

report Produce a migration report only.
patch Produce a migration report plus a full implementation reference package. Default to per-feature folders containing full.patch, split patches/, upstream reference metadata, implementation checklists, and explicit uncovered scope.
apply Edit the local workspace without creating a commit. Use only when alignment and impact confidence are high.
commit Reserve for explicit user requests after patch review. Do not use as the first-pass default.

Entry Conditions

Proceed only when all of the following are true:

MindSpeed branch is known.
Megatron base branch is known.
Megatron target branch or change-set is known.
Relevant impact items already exist.
Each migration-worthy item includes upstream commit references and enough implementation scope to tell config/runtime/wrapper/test work apart.

If any of these are missing, stop and ask for or derive the missing prerequisite instead of guessing.

Workflow

Read the impact report.
Separate high-confidence items from speculative items.
For each high-confidence item, describe: the upstream event, the upstream commit and changed files, the upstream implementation units, the local adaptation target, the intended code change, the uncertainty.
Generate: one integrated migration_report.md impact_report.json if needed for carry-forward candidate_patch.md as a compact summary index a features/ directory with one subfolder per migration item, each containing: full.patch for the full local implementation draft patches/ for split patch series organized by implementation unit candidate.patch as the compatibility entry patch README.md, checklist.md, package_manifest.json, and upstream_reference.json
If in apply mode, edit only the approved files and leave a clear explanation of what changed.

Safety Rules

Never generate migration code directly from raw commit history without an impact report.
Avoid direct edits in exploration mode.
When the target is megatron main, frame code output as a candidate adaptation draft, not a compatibility-guaranteed migration.
Prefer patch artifacts over commits because they are easier to review and safer when branch alignment is still evolving.
Do not treat one local file edit as a complete feature migration when the upstream commit spans config, runtime logic, wrappers, and tests.
When a full migration package cannot be completed from the available inputs, explicitly record uncovered implementation units, omitted scope, and manual follow-ups instead of pretending the feature is complete.

Static Validation

Keep validation lightweight and local:

patch applies cleanly
paths exist
names and arguments match local code structure
basic syntax or lint-level checks when available
the package explains which upstream implementation units are already ported and which remain to be ported

Do not imply that training correctness, performance, or numerical accuracy has been verified.

References

Read migration-modes.md before choosing the output form.
Read implementation-first-package.md before generating a migration package that claims to represent a feature implementation.
Read report-template.md for the expected integrated markdown deliverable structure. Default to Chinese report language.
Run synthesize_full_patch_series.py after impact mapping when you want known feature commits to expand into fuller multi-file patch series instead of staying as single-file placeholders.
Run render_migration_artifacts.py to turn an impact_report.json into reviewable report and patch-plan artifacts before any manual refinement.

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 Megatron Migration Generator AI skill do?

Why use Megatron Migration Generator on TypingMind?

Because you install it once and use it with any model. Megatron Migration Generator 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 Megatron Migration Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ascend/agent-skills/tree/master/skills/megatron-migration-generator. 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 Megatron Migration Generator?

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 Megatron Migration Generator?

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

Is the Megatron Migration Generator AI skill free?

Yes. It is published on GitHub by Ascend under the MulanPSL-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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Megatron Migration Generator

Default Output Mode

Supported Modes

Entry Conditions

Workflow

Safety Rules

Static Validation

References

Bundled files

Frequently asked questions

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