Performance Diagnosis

Community

jiangylin5-hue

performance_diagnosis

Explain Meta performance changes using evaluation level, learning state, marginal efficiency, change history, and evidence.

Overview

Publisher	jiangylin5-hue
Repository	`meta-ads-agent`
Skill name	`performance_diagnosis`
Stars	81
Forks	9
Bundled files	4
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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by jiangylin5-hue on GitHub. Read the source before you install it.

Installation

Install the Performance Diagnosis 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/jiangylin5-hue/meta-ads-agent/tree/main/backend/skills/performance_diagnosis
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/jiangylin5-hue/meta-ads-agent/tree/main/backend/skills/performance_diagnosis

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/jiangylin5-hue/meta-ads-agent.git /tmp/meta-ads-agent
mkdir -p .claude/skills
cp -r /tmp/meta-ads-agent/backend/skills/performance_diagnosis .claude/skills/performance_diagnosis

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

Use it in TypingMind

Enable Performance Diagnosis 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 Performance Diagnosis 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 Performance Diagnosis 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.

performance_diagnosis

Purpose

Explain Meta performance changes using evaluation level, learning state, marginal efficiency, change history, and evidence.

Use when

CPA, ROAS, CTR, CPM, or conversion change
which entity is dragging performance
learning phase or creative fatigue question
wasted spend question

Do not use

simple current-state lookup
action execution
policy approval

Required inputs

ad_account_id
current date window
entity level

Required evidence

current and comparison windows
evaluation level
learning state
sample size
change history
delivery errors
missing data

Output

Use the output contract performance_finding_v1. Keep facts, hypotheses, missing data, and the decision separate.

Hard rules

Inspect next_actions from ads_get_ad_entities before answering.
ads_insights_performance_trend supports AD and ADSET only; use ads_get_ad_entities with time_increment for Campaign trends.
Separate observations, causes, and hypotheses.
Do not recommend a mutation without an explicit user request.

References

Use the reference index returned by load_skill. Read only the reference needed for the current decision; do not load every reference.

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 Performance Diagnosis AI skill do?

Explain Meta performance changes using evaluation level, learning state, marginal efficiency, change history, and evidence.

Why use Performance Diagnosis on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jiangylin5-hue/meta-ads-agent/tree/main/backend/skills/performance_diagnosis. 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 Performance Diagnosis?

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 Performance Diagnosis?

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

Is the Performance Diagnosis AI skill free?

It is published on GitHub by jiangylin5-hue. Check the repository for licensing terms. 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

performance_diagnosis

Purpose

Use when

Do not use

Required inputs

Required evidence

Output

Hard rules

References

Bundled files

Frequently asked questions

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