Evolving Status

Organization

claude-world

evolving-status

View Self-Evolving Loop session status, history, and memory metrics

Overview

Publisher	claude-world
Repository	`director-mode-lite`
Skill name	`evolving-status`
Stars	80
Forks	10
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by claude-world on GitHub. Read the source before you install it.

Installation

Install the Evolving Status 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/claude-world/director-mode-lite/tree/main/skills/evolving-status
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/claude-world/director-mode-lite.git /tmp/director-mode-lite
mkdir -p .claude/skills
cp -r /tmp/director-mode-lite/skills/evolving-status .claude/skills/evolving-status

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

Use it in TypingMind

Enable Evolving Status 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 Evolving Status 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 Evolving Status 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.

Self-Evolving Loop Status

View status, history, and memory metrics for evolving-loop sessions.

Usage

bash
# Current session status
/evolving-status

# Detailed view
/evolving-status --detailed

# View specific report
/evolving-status --report analysis
/evolving-status --report validation
/evolving-status --report decision
/evolving-status --report learning
/evolving-status --report patterns

# View event history
/evolving-status --history

# View skill evolution
/evolving-status --evolution

# View memory system
/evolving-status --memory

# View tool dependencies
/evolving-status --dependencies

Output Example


Status:     in_progress
Phase:      EXECUTE
Iteration:  3 / 50
Started:    2026-01-14T12:00:00Z

Request:    Build REST API with user authentication...

Skill Versions:
   executor: v2
   validator: v1
   fixer: v1

Lifecycle Status:
   executor: task-scoped
   validator: task-scoped
   fixer: task-scoped

Task Type: auth (pattern: auth)

Acceptance Criteria:
   [x] AC-F1: GET /users endpoint
   [x] AC-F2: POST /users endpoint
   [ ] AC-F3: Input validation

Views

Flag	Description
`--detailed`	Full JSON state
`--report <type>`	View specific report
`--history`	Last 20 events
`--evolution`	Skill version history
`--memory`	Memory system metrics
`--dependencies`	Tool co-usage graph

/evolving-loop - Main development loop
Architecture - Detailed design

Frequently asked questions

What does the Evolving Status AI skill do?

View Self-Evolving Loop session status, history, and memory metrics

Why use Evolving Status on TypingMind?

Because you install it once and use it with any model. Evolving Status 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 Evolving Status in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/claude-world/director-mode-lite/tree/main/skills/evolving-status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Evolving Status?

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 Evolving Status?

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

Is the Evolving Status AI skill free?

Yes. It is published on GitHub by claude-world 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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Evolving Status

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Self-Evolving Loop Status

Usage

Output Example

Views

Related

Frequently asked questions

Set up your own AI workspace now

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Self-Evolving Loop Status

Usage

Output Example

Views

Related

Frequently asked questions

Related AI Skills

Set up your own AI workspace now