Solution Debranding Apply

Community

lshade

solution-debranding-apply

Execute approved units from an existing solution-debranding plan, validate each, and update plan evidence. Processes all unblocked units in sequence, pausing only when a human decision is needed. Use only when the user supplies or uniquely identifies a primary plan and asks to apply, execute, or ship that planned work. Requires an existing plan. When no plan exists, use solution-debranding-plan instead.

Overview

Publisher	lshade
Repository	`solution-debranding`
Skill name	`solution-debranding-apply`
Stars	4
Forks	0
Bundled files	Instructions only
License	MIT
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by lshade on GitHub. Read the source before you install it.

Installation

Install the Solution Debranding Apply 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/lshade/solution-debranding/tree/main/skills/solution-debranding-apply
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/lshade/solution-debranding/tree/main/skills/solution-debranding-apply

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/lshade/solution-debranding.git /tmp/solution-debranding
mkdir -p .claude/skills
cp -r /tmp/solution-debranding/skills/solution-debranding-apply .claude/skills/solution-debranding-apply

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

Use it in TypingMind

Enable Solution Debranding Apply 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 Solution Debranding Apply 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 Solution Debranding Apply 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.

Solution Debranding Apply

Execute approved work from an existing solution-debranding plan.

Execution Mode

When a specific unit number is given, execute that unit only. When all is given or no unit is specified, execute all unblocked units in dependency order, one at a time, validating each before moving to the next. Pause and ask the user when:

A unit requires a human decision (legal, security, privacy, ownership, or external-system approval)
A validation fails and the fix is ambiguous
A unit is gated on work outside the debranding track
The next unit's scope is unclear or the plan says "Your call"

Do not pause for mechanical work that has a clear correct answer. Resume automatically after each completed unit.

Steps (per unit)

Require one primary plan path. If none is supplied, discover a unique active plan under the configured ARTIFACT_ROOT; otherwise stop and request the path. Never create a replacement plan.
Read the plan's summary and unit table, then read only the section its reference column names for the unit you are executing. Read the whole plan only when the unit has no reference. Then read the shared workflow package and follow its Apply contract with MODE=apply.
Confirm the requested unit is unblocked and that required approvals are recorded. If not, skip to the next unblocked unit rather than stopping entirely.
Execute the unit. Referred findings are not units: decline them and name their track owner.
After the first substantive edit, run the cheapest focused validation. Finish with the relevant tests, builds, scans, or rendering checks for that unit.
Update the same plan's checkboxes, status, and ## Validation section with commands, outcomes, limits, and residual findings.
After completing a unit, proceed to the next unblocked unit unless a pause condition (above) is hit.

Response Format

End every message with a TLDR block:


---
TLDR: <one sentence summary of what was done and what's next>

Before the TLDR, provide the unit outcome, validations run, any limits, and the plan link. When pausing to ask the user a question, state the question clearly before the TLDR.

When all executable units are complete, list the remaining human-gated units and what each is waiting on.

Frequently asked questions

What does the Solution Debranding Apply AI skill do?

Why use Solution Debranding Apply on TypingMind?

Because you install it once and use it with any model. Solution Debranding Apply 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 Solution Debranding Apply in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lshade/solution-debranding/tree/main/skills/solution-debranding-apply. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Solution Debranding Apply?

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 Solution Debranding Apply?

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

Is the Solution Debranding Apply AI skill free?

Yes. It is published on GitHub by lshade 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.

View all

Cavecrew

JuliusBrussee

CommunityPopular

When to delegate to `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit) or `cavecrew-reviewer` (diff review) instead of working inline or using `Explore`. Their output is…

Pricing Page

A standalone pricing page — header, plan tiers, feature comparison table, and an FAQ. Use when the brief asks for "pricing", "plans", "subscription tiers", or a "compare plans" page.

Replit Deck

For product and technical management work: turn PRDs, roadmaps, RFCs, architecture reviews, and retros into decision documents. Built around the core query "pm-feature-business-case-deck", with…

Dcf Valuation

Discounted cash flow valuation and intrinsic value analysis for public companies. Use when the brief asks for DCF, fair value, intrinsic value, price target, undervalued or overvalued analysis, or…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Solution Debranding Apply

Execution Mode

Steps (per unit)

Response Format

Frequently asked questions

Related AI Skills

Set up your own AI workspace now