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Grace Plan

Community
osovv
grace-plan

Read an approved GRACE 4 GraceChangeSpec and optional design context, then create a GraceChangePlan with assertions, scopes, tasks, and verification gates.

Overview

Publisherosovv
Repositorygrace-marketplace
Skill namegrace-plan
Stars
254
Forks
55
Bundled files
2
LicenseMIT
Links
  • 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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by osovv on GitHub. Read the source before you install it.

Installation

Install the Grace Plan AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/osovv/grace-marketplace/tree/main/plugins/grace/skills/grace/grace-plan
  4. 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.
2

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/osovv/grace-marketplace.git /tmp/grace-marketplace
mkdir -p .claude/skills
cp -r /tmp/grace-marketplace/plugins/grace/skills/grace/grace-plan .claude/skills/grace-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Grace Plan 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 Grace Plan 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 Grace Plan 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.

<approved_plan_immutability>

  • If plan.xml already exists with status approved, stop before writing.
  • Do not refresh BaselineAssertions, TargetAssertions, DurableScope, ObservedWriteScope, or tasks in place.
  • Create a new C-* bundle and mark the old bundle superseded with an explicit replacement reference. </approved_plan_immutability>

<must_do> Produce plan.xml from references/change-plan-template.xml as draft unless the user explicitly approves the completed plan. Require a matching C-* wrapper, meaningful intent, non-empty machine-checkable baseline and target assertions, explicit durable and observed scopes, and unique acyclic T-NNN tasks. A scope with no writes must use an explicit <None /> marker; prose such as "none" is invalid. Every task has one Title, one DependsOn element listing zero or more predecessors as canonical comma-separated T-NNN values (for example <DependsOn>T-001, T-002</DependsOn>), non-empty acceptance criteria, and non-empty verification commands. Dependencies form a directed acyclic graph: list only true predecessors and never linearize independent tasks into a chain to express ordering. Surface stale-state and coexistence warnings, and reject unsupported scope glob syntax instead of guessing. </must_do>

<command_phase_rules>

  • current is an active-baseline preflight and is valid only before observed writes begin.
  • baseline is the selected pre-edit gate, target is selected post-edit evidence, and final is the outer apply/archive gate owned by grace-execute.
  • MustPassCommand contains leaf project evidence such as tests, typecheck, build, format, or package checks. Never place grace lint, grace status, or another GRACE lifecycle command inside it.
  • Never put --assertions current in TargetAssertions or in task verification that runs after writes. Use selected target/final lint externally instead.
  • A MustPassCommand must complete within its declared budgetSeconds (absent, the global --command-timeout applies) on the reference host; declare the budget you have measured rather than inheriting a default that will kill the command mid-gate.
  • A whole-suite command whose runtime is dominated by substrate startup — containers, databases, browsers, emulators — belongs in an acceptance tier, not in the gate; never declare both a whole-suite command and the file-level commands it already re-runs. </command_phase_rules>

<hard_rules> Do not implement code, silently approve a plan, overwrite an approved plan, or mutate current graph/verification artifacts while planning. Semantic anchors are canonical XML tags, never attributes. </hard_rules>

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 Grace Plan AI skill do?

Read an approved GRACE 4 GraceChangeSpec and optional design context, then create a GraceChangePlan with assertions, scopes, tasks, and verification gates.

Why use Grace Plan on TypingMind?

Because you install it once and use it with any model. Grace Plan 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 Grace Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/osovv/grace-marketplace/tree/main/plugins/grace/skills/grace/grace-plan. 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 Grace Plan?

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 Grace Plan?

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

Is the Grace Plan AI skill free?

Yes. It is published on GitHub by osovv 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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