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Semantic Contracts Installer

Organization
LLM-Coding
semantic-contracts-installer

Install Semantic Contracts (and, as a sub-mode, individual semantic anchors) into a coding agent's persistent context for Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, and similar agents. Use when setting up project-level or user-level onboarding, generating or updating AGENTS.md / CLAUDE.md / GEMINI.md / Copilot instruction files, or choosing which contracts a project should run. A contract is the part the LLM cannot guess — a named composition of anchors plus the project's own rendered template — so installing contracts is the high-value path; installing a bare anchor list is the lightweight fallback.

Overview

PublisherLLM-Coding
RepositorySemantic-Anchors
Skill namesemantic-contracts-installer
Stars
521
Forks
45
Bundled files
13
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.

  • 13 bundled files

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

  • Open source

    Published by LLM-Coding on GitHub. Read the source before you install it.

Installation

Install the Semantic Contracts Installer 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/LLM-Coding/Semantic-Anchors/tree/main/plugins/semantic-anchors/skills/semantic-contracts-installer
  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/LLM-Coding/Semantic-Anchors.git /tmp/Semantic-Anchors
mkdir -p .claude/skills
cp -r /tmp/Semantic-Anchors/plugins/semantic-anchors/skills/semantic-contracts-installer .claude/skills/semantic-contracts-installer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Semantic Contracts Installer 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 Semantic Contracts Installer 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 Semantic Contracts Installer 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.

Semantic Contracts Installer

Install a small, stable set of Semantic Contracts so coding agents start each session with the project's shared vocabulary and rules — not just terms the model already knows, but the compositions and rendered templates it cannot guess.

Why contracts first

A semantic anchor (BLUF, MECE, arc42) already works in any chat — the model knows it; installing a list of anchors adds little. A semantic contract is different: it pins which anchors apply in this project and carries a project-local template (e.g. the "Specification" contract = Cockburn use cases + Gherkin + EARS + activity diagrams, with the full template text). That template is information the model cannot reconstruct on its own. Installing contracts is therefore the primary mode; installing a bare anchor block is the --anchors-only fallback.

This is the Anchor / Contract / Skill taxonomy (ADR-007) in practice: the installer's job is to put the always-on contracts into the agent's instruction file.

Workflow (contracts mode — default)

  1. Decide scope and portability. Prefer project-local onboarding for "works across as many agents as possible"; use user-level memory only for agents that support it natively. Read references/agent-support.md before writing files.

  2. Present the contract catalog. Read data/contracts.json (a bundled snapshot of the published catalog) and show the user the available contracts by title + description. Keep the installed set small — usually 2 to 6 contracts that match the project's actual practice.

  3. Render the selected contracts into a block. For each chosen contract, emit its template (or templateDe when the project works in German) under a clear heading, followed by its resolved anchors[] as a one-line supporting-vocabulary list. Start from assets/templates/contracts-block.md. Do not add the markers — the installer adds them.

  4. Run the installer instead of editing by hand.

    • scripts/install.sh --source /path/to/contracts-block.md --target-dir <repo> --scope project for repository onboarding.
    • scripts/install.sh --source /path/to/contracts-block.md --scope home for personal onboarding.
    • It injects into the first suitable existing markdown file, else creates a minimal AGENTS.md, and writes an idempotent marker block (<!-- semantic-anchors:start/end -->) so updates replace the previous installation — including any block left by the former semantic-anchor-onboarding skill.
  5. Add native behavior only where needed.

    • The marker block lives in AGENTS.md / CLAUDE.md, which Claude Code loads natively — so do not install a SessionStart hook for CLAUDE.md; it would double-load the block.
    • Only use --claude-hook when the block lives in a file Claude Code does not auto-load. The hook is registered with matcher: "startup" (not resume), so it does not re-inject on every resume.
    • For Gemini CLI / Copilot / Cursor, rely on the shared file the installer chose; mirror into the native file only when that tool's workflow needs it.
  6. Validate on a fresh session. Start a new session and ask the agent to list the active contracts and how they will shape the next answer. If it misses them, shorten the file and make the active list more explicit.

Sub-mode: --anchors-only

For projects that want only a bare anchor list (the former onboarding behavior): select 3-7 anchors, render them from assets/templates/anchor-block.md, force a single primary choice inside the conflict groups in references/anchor-selection.md, and run the same installer. This is a fallback — prefer contracts.

Keeping the snapshot fresh

data/contracts.json is a bundled snapshot so the skill installs offline and reproducibly. Refresh it from the canonical source with scripts/refresh-contracts.sh (fetches the published contracts.json). Re-run it before installing if the project needs the very latest contract templates.

Writing rules

  • Install contracts, not essays — each rendered template is already terse; do not pad it.
  • Prefer AGENTS.md as the cross-agent baseline; prefer project onboarding over user onboarding when the user says "all agents."
  • State that explicit user instructions override the installed contracts.
  • Do not make exploratory or adversarial techniques always-on unless the user asks.

Assets, references, scripts

  • data/contracts.json — bundled contract catalog snapshot.
  • assets/templates/ — contracts-block.md, anchor-block.md, and per-tool starter files (AGENTS.md, CLAUDE.md, GEMINI.md, copilot-instructions.md).
  • references/agent-support.md — agent loading rules and portability.
  • references/anchor-selection.md — category prompts and conflict groups (for --anchors-only).
  • scripts/install.sh — idempotent block injection with multi-agent file detection.
  • scripts/refresh-contracts.sh — refresh the bundled snapshot.
  • scripts/claude-session-start.sh — SessionStart hook for non-native targets only.

Requirements

  • Runtime: python3 (used by install.sh for settings/JSON manipulation and path resolution); curl for refresh-contracts.sh.
  • Platform: Unix/macOS (WSL on Windows).

Maintenance

  • skill/ is the canonical source; scripts/sync-claude-plugin.sh regenerates the plugin copies. Do not edit both by hand.
  • The former semantic-anchor-onboarding skill is a deprecated alias that forwards here; it will be removed after one release.

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 Semantic Contracts Installer AI skill do?

Install Semantic Contracts (and, as a sub-mode, individual semantic anchors) into a coding agent's persistent context for Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, and similar agents. Use when setting up project-level or user-level onboarding, generating or updating AGENTS.md / CLAUDE.md / GEMINI.md / Copilot instruction files, or choosing which contracts a project should run. A contract is the part the LLM cannot guess — a named composition of anchors plus the project's own rendered template — so installing contracts is the high-value path; installing a bare anchor list is th...

Why use Semantic Contracts Installer on TypingMind?

Because you install it once and use it with any model. Semantic Contracts Installer 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 Semantic Contracts Installer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LLM-Coding/Semantic-Anchors/tree/main/plugins/semantic-anchors/skills/semantic-contracts-installer. 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 Semantic Contracts Installer?

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 Semantic Contracts Installer?

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

Is the Semantic Contracts Installer AI skill free?

Yes. It is published on GitHub by LLM-Coding 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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