Prompt Focus

Community

yonatangross

prompt-focus

Shows where your attention went from your own Claude Code and Codex prompts: projects, hours and re-typed asks over 20 weeks, as a local counts-only HTML report. Use when asking where your focus goes.

Overview

Publisher	yonatangross
Repository	`orchestkit`
Skill name	`prompt-focus`
Stars	298
Forks	35
Bundled files	4
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.
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 yonatangross on GitHub. Read the source before you install it.

Installation

Install the Prompt Focus 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/yonatangross/orchestkit/tree/main/plugins/ork/skills/prompt-focus
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/yonatangross/orchestkit.git /tmp/orchestkit
mkdir -p .claude/skills
cp -r /tmp/orchestkit/plugins/ork/skills/prompt-focus .claude/skills/prompt-focus

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

Use it in TypingMind

Enable Prompt Focus 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 Prompt Focus 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 Prompt Focus 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.

prompt-focus

Where did your attention go, and what do you keep telling your agents again and again? This skill answers from your own input history, on your machine.

Quick Reference

Command	What it does	Output
`scan`	read history, attribute, aggregate	`agg.json` (counts only)
`report`	scan, then build the page	`report.html`
`daily [YYYY-MM-DD] [--force]`	append one finished day (yesterday by default), once; today needs `--force` and is written as a partial row that a later run replaces	`daily.jsonl`
`demo [path]`	the same page from synthetic data	a shareable demo page
`selftest`	synthetic run with privacy asserts	exit 0 or an assert

Output dir: $PROMPT_FOCUS_DIR, default ~/.claude/prompt-focus. The exact call shape for Claude Code is in references/claude-code.md.

Quick Start Example

bash
python3 "${CLAUDE_SKILL_DIR}/scripts/prompt_focus.py" report     # writes ~/.claude/prompt-focus/report.html
python3 "${CLAUDE_SKILL_DIR}/scripts/prompt_focus.py" demo /tmp/prompt-focus-demo.html   # synthetic data, safe to share

Optional ~/.claude/prompt-focus/config.json:

json
{"areas": {"billing": ["invoice", "stripe"]}, "brief_patterns": ["^\\s*TASK-\\d+:"], "weeks": 20}

Workflow

Run report, then open report.html for the user.
Lead with the verdict line from the page: the top area, prompts per week, and the nudge and words-per-prompt trend.
Point at the re-typed asks. Each one has its first-4 vs last-4 weeks trend and a proposed default; the page's copy-as-prompt turns the ticked ones into one request.
If the user runs several agents that paste briefs into the terminal, check 20 random rows before trusting the split, and add their brief markers to brief_patterns. See references/how-it-works.md.

Key Decisions

Your words only. A paste counts as one event, not as words; a slash command or shell line counts apart; text matching brief_patterns is an agent's, not yours.
Counts only. agg.json, daily.jsonl and the page hold numbers and category names. Prompt text is read in memory and never written.
Rolling window. Always the last 20 weeks ending today (weeks in config).
Areas. Your project folder by default; add areas regexes in config.json to group by topic instead.

Common Mistakes

Sharing your real report.html publicly: it names your projects. Use demo for anything public.
Reading the split as exact without a control: brief patterns are text rules, and they miss some agent text.
Expecting other tools: only Claude Code and Codex input history are read.

Rules

Read only. Never write to ~/.claude/history.jsonl, ~/.claude/paste-cache/ or ~/.codex/.
Never quote prompt text back in chat beyond the user's own short asks they asked to see.

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 Prompt Focus AI skill do?

Why use Prompt Focus on TypingMind?

Because you install it once and use it with any model. Prompt Focus 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 Prompt Focus in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yonatangross/orchestkit/tree/main/plugins/ork/skills/prompt-focus. 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 Prompt Focus?

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 Prompt Focus?

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

Is the Prompt Focus AI skill free?

Yes. It is published on GitHub by yonatangross 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

prompt-focus

Quick Reference

Quick Start Example

Workflow

Key Decisions

Common Mistakes

Rules

Bundled files

Frequently asked questions

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