Wrap Up

CommunityPopular

rohitg00

wrap-up

End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary. Use when saying "wrap up", "done for the day", "finish coding", or ending a coding session.

Overview

Publisher	rohitg00
Repository	`pro-workflow`
Skill name	`wrap-up`
Stars	2.9K
Forks	286
Bundled files	Instructions only
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 rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Wrap Up 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.
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/rohitg00/pro-workflow.git /tmp/pro-workflow
mkdir -p .claude/skills
cp -r /tmp/pro-workflow/skills/wrap-up .claude/skills/wrap-up

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

Use it in TypingMind

Enable Wrap Up 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 Wrap Up 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 Wrap Up 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.

Wrap-Up Ritual

End your coding session with intention.

Trigger

Use when ending a session, saying "wrap up", "done for now", or before closing the editor.

Workflow

Changes Audit — What files were modified? Anything uncommitted? TODOs left in code?
Quality Check — Run lint, typecheck, and tests. All passing? Any warnings?
Learning Capture — What mistakes were made? What patterns worked well? Format as [LEARN] Category: Rule
Next Session Context — What's the next logical task? Any blockers? Context to preserve?
Summary — One paragraph: what was accomplished, current state, what's next.

Commands

bash
git status
git diff --stat

npm run lint 2>&1 | head -20
npm run typecheck 2>&1 | head -20
npm test -- --changed --passWithNoTests

Learning Categories

Navigation, Editing, Testing, Git, Quality, Context, Architecture, Performance

Guardrails

Do not skip any checklist step.
If tests are failing, flag before ending session.
If uncommitted changes exist, ask whether to commit or stash.

Output

Modified file list with uncommitted changes highlighted
Quality gate results
Captured learnings (if any)
One-paragraph session summary
Next session resume context

After completing checklist, ask: "Ready to end session?"

Frequently asked questions

What does the Wrap Up AI skill do?

Why use Wrap Up on TypingMind?

Because you install it once and use it with any model. Wrap Up 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 Wrap Up in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/pro-workflow/tree/main/skills/wrap-up. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wrap Up?

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 Wrap Up?

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

Is the Wrap Up AI skill free?

It is published on GitHub by rohitg00. 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

Wrap-Up Ritual

Trigger

Workflow

Commands

Learning Categories

Guardrails

Output

Frequently asked questions

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