Pattern Detect

CommunityPopular

hoangsonww

pattern-detect

Detect recurring patterns using the Agent Monitor's workflow intelligence — toolFlow transitions (tool A → B frequency matrices), recurring workflow patterns, agent co-occurrence pairs, model delegation habits, error propagation paths by agent depth, and compaction triggers. Use to discover habitual usage patterns and anti-patterns.

Overview

Publisher	hoangsonww
Repository	`Claude-Code-Agent-Monitor`
Skill name	`pattern-detect`
Stars	1.1K
Forks	260
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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 hoangsonww on GitHub. Read the source before you install it.

Installation

Install the Pattern Detect 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/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-insights/skills/pattern-detect
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/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-insights/skills/pattern-detect

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/hoangsonww/Claude-Code-Agent-Monitor.git /tmp/Claude-Code-Agent-Monitor
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Agent-Monitor/plugins/ccam-insights/skills/pattern-detect .claude/skills/pattern-detect

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

Use it in TypingMind

Enable Pattern Detect 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 Pattern Detect 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 Pattern Detect 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.

Pattern Detect

Identify recurring patterns using the Agent Monitor's workflow intelligence engine.

Input

The user provides: $ARGUMENTS

Options: "all", "tools", "errors", "workflows", "last N sessions".

Data Sources

Endpoint	Returns
`GET /api/sessions?limit=200`	Session list with status, model, cwd, metadata
`GET /api/analytics`	tool_usage top 20, event_types, agent_types
`GET /api/workflows/{sessionId}`	11 datasets per session (see below)

Workflow datasets used for pattern detection

Dataset	Pattern insight
`toolFlow`	Tool transition matrix: tool A → tool B with counts — reveals sequential habits
`patterns`	Detected workflow patterns: recurring sequences with frequency scores
`cooccurrence`	Agent co-occurrence: which agents frequently run together
`modelDelegation`	Model habits: which models are chosen for which task types
`errorPropagation`	Error patterns: where errors start and how they cascade by agent depth
`effectiveness`	Subagent patterns: which types succeed most, avg duration per type
`compaction`	Compaction triggers: what causes context overflow
`complexity`	Complexity patterns: session complexity scores over time

Pattern Categories

1. Tool Chain Patterns (from `toolFlow`)

Most common sequences: Top 10 tool transitions (e.g., Read → Edit: 145 times)
Starter tools: First tool used in sessions (indicates task type)
Finisher tools: Last tool before Stop event
Anti-patterns: Tool → same Tool repeated (retries/failures)
Co-occurrence: Tools that always appear together in sessions

2. Workflow Patterns (from `patterns`)

Named patterns: Workflow sequences the API has detected with frequency
Session archetypes: Common session shapes (short edit, long debug, subagent-heavy)
Project-specific: Patterns that appear in specific working directories

3. Error Patterns (from `errorPropagation` + `event_types`)

Error origins: Which agent depth level produces most errors
Cascade patterns: Errors that trigger chains of follow-up errors
APIError frequency: quota hits, rate_limit, overloaded — by time of day
Recovery patterns: How errors are typically resolved (tool retry vs agent switch)

4. Agent Patterns (from `cooccurrence` + `effectiveness`)

Agent pairs: Which agents are spawned together frequently
Delegation patterns: Main agent → subagent task delegation habits
Success by type: Which subagent types (task/explore/code-review) work best for which tasks

5. Temporal Patterns (from session timestamps + `daily_sessions`)

Peak hours: When sessions cluster
Duration patterns: Short vs long session distribution
Day-of-week trends: Productive days vs quiet days

Output

Pattern Report with top 10 patterns ranked by frequency × impact:

Pattern name and description
Frequency (occurrences across analyzed sessions)
Impact: positive (reinforce), negative (eliminate), or neutral (observe)
Actionable recommendation for each

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB

Frequently asked questions

What does the Pattern Detect AI skill do?

Why use Pattern Detect on TypingMind?

Because you install it once and use it with any model. Pattern Detect 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 Pattern Detect in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-insights/skills/pattern-detect. 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 Pattern Detect?

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 Pattern Detect?

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

Is the Pattern Detect AI skill free?

Yes. It is published on GitHub by hoangsonww 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Pattern Detect

Input

Data Sources

Workflow datasets used for pattern detection

Pattern Categories

1. Tool Chain Patterns (from toolFlow)

2. Workflow Patterns (from patterns)

3. Error Patterns (from errorPropagation + event_types)

4. Agent Patterns (from cooccurrence + effectiveness)

5. Temporal Patterns (from session timestamps + daily_sessions)

Output

Bundled files

Frequently asked questions

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1. Tool Chain Patterns (from `toolFlow`)

2. Workflow Patterns (from `patterns`)

3. Error Patterns (from `errorPropagation` + `event_types`)

4. Agent Patterns (from `cooccurrence` + `effectiveness`)

5. Temporal Patterns (from session timestamps + `daily_sessions`)