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Toolcraft

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llopresto87
toolcraft

Doctrine (kernel §3.8) — when an operation will recur across independent sessions, the unit of work is a durable, tested, cataloged tool, not a throwaway script. Defines what counts as a durable tool, what stays disposable, the procedure sibling (a project skill), and the fail-closed rule that a task is incomplete until a durable tool is cataloged or recorded absent. authoring a tool is agent.tool-smith; cataloging one happens inside the single canonize close-out spawn. This node is the rule both of them answer to, and every session reads it.

Overview

Publisherllopresto87
RepositoryCypress
Skill nametoolcraft
Stars
113
Forks
6
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by llopresto87 on GitHub. Read the source before you install it.

Installation

Install the Toolcraft 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/llopresto87/Cypress/tree/main/skills/toolcraft
  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/llopresto87/Cypress.git /tmp/Cypress
mkdir -p .claude/skills
cp -r /tmp/Cypress/skills/toolcraft .claude/skills/toolcraft
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Toolcraft 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 Toolcraft 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 Toolcraft 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.

toolcraft — the durable-tool doctrine

This node owns the toolcraft rule (kernel §3.8): durable tools compound; throwaway scripts are rework. When an operation will recur across independent sessions (or has already recurred inside one), the unit of work is a durable, tested tool with a stable interface, designed so at plan time, named in tools_built on every handback, and cataloged in docs/graph/tools/ by the librarian inside the close-out spawn. Genuine one-offs and throwaway prototypes stay disposable. A task completes only under the fail-closed rule below.

Work generates capabilities, not only knowledge. A task needs an operation performed (seed a fixture, migrate a schema, probe an endpoint, regenerate a client), and an agent writes code to do it. If that code dies with the session, the next task that needs the same operation writes it again, slightly differently, with a fresh chance to get it wrong. Toolcraft is the doctrine that keeps a capability once it is worth keeping.

This node is the rule; authoring and cataloging are separate, because they happen at different times and are done by different actors:

WhoWhen
the rule — what earns durabilitythis node; every session reads italways
authoring — building the tested tooldocs/graph/agents/tool-smith.mdmid-task, when the recurrence is noticed
cataloging — the page in docs/graph/tools/the librarian, inside docs/graph/protocols/canonize.mdonce, at close-out

Cataloging happens inside the one canonize close-out spawn; protocol.canonize owns that rule. Canonize catalogs the tool "it produced", and the producer is the tool-smith. The tools the seed places in docs/graph/ are described by seed skills and need no catalog row (ADR-0030); a plant can still write its own card for one.

What counts as a durable tool (toolcraft.durability-criteria)

Catalog a piece of real code that:

  • recurs across independent sessions: an agent, expert, or skill will plausibly run it again in a future task (the trigger is recurrence, not size). Recurrence also counts inside one long session, and the third-time rule (agent.tool-smith's bar) fires on scratch code too (the scratch count below);
  • has a stable interface: a named entry point, defined inputs and outputs, a documented invocation, not a copy-pasted snippet;
  • is authorized by a test (§3.4): at least one test, sized by test-first.proportionate-checks, pins what it does;
  • lives in the repository, committed where the project keeps its tooling, reachable by path.

What stays disposable

  • a genuine one-off: needed once, no future task plausibly repeats it;
  • a throwaway prototype written to learn a library or shape: the blessed carve-out of the test-first rule (§3.4); recorded, if anywhere, as an exception in grill.md §9;
  • anything embedding secrets, credentials, or production/personal data;
  • project-specific tooling aimed at the seed: that is harvest's agnosticism gate.

The procedure sibling — durable skills

A tool is durable code; a skill is a durable procedure: the disciplined sequence for a recurring kind of work (a migration recipe, a release choreography, a data-reset dance). Same recurrence trigger, different shape: if the recurring thing is code that runs, it is a tool; if it is the how (the ordered steps and the gate each one clears, usually composing existing protocols and tools), it is a skill. When such a procedure recurs and no core docs/graph/skills/ discipline covers it, author it as a project skill from docs/graph/templates/skill.template.md, the same way a missing role is commissioned from docs/graph/templates/agent.template.md. Its home is the graph node docs/graph/skills/<name>.md; create the projection in each harness directory the plant actually uses (.claude/skills/<name>/SKILL.md and kin) in the same pass, so the harness can load it before the next install. install.sh projects what the graph holds, so from then on the projection is maintained for you. It composes disciplines by reference. The core docs/graph/skills/ stay the fixed shared methodology; a project skill is the optional, project-specific procedure on top.

Design-time half of the rule

The doctrine cuts earlier than task end: when grill identifies a recurring operation, the plan-of-record names a durable tool (or, when the recurring thing is a procedure rather than code, a project skill) as the unit of work; the capability is designed durable, not retrofitted. Workers name every tool they build in tools_built and every recurring procedure in skills_built in their handback payload (docs/graph/templates/prompts/handback-payload.md); those fields are what the close-out brief forwards to the librarian.

Fail-closed doctrine

A task completes only when every durable tool it produced is cataloged and every procedure it repeated is crystallized into a project skill, or the close-out has explicitly recorded "no durable tool / no skill, because …" (for Tier 0/1 tasks, the session's one-line self-record in the delivery covers this; see docs/graph/protocols/canonize.md). A candidate examined and not built because it has not met the recurrence criteria goes in the "Examined and declined" table of docs/graph/tools/index.md, with the event that would clear it, so the next session reads the judgment instead of repeating it. A task that built a reusable capability (a tool, or a procedure worn in by repetition) and left it uncaptured is a silent capability leak: the next session cannot find what exists, so it rewrites it.

Scratch space is where copies pile up uncounted: each worker writes its own variant, none is promoted, and the session ends with dozens of near-duplicates. So at each delivery metrics checkpoint (protocol.deliver) or at session end, the orchestrator counts the scratch scripts by purpose; a purpose with three or more variants is a recurrence and goes to tool-smith.

Cross-project mirror: harvest folds project-agnostic tools into the seed's tool-corpus/ and project-agnostic skills into skill-corpus/, user-triggered only.

Frequently asked questions

What does the Toolcraft AI skill do?

Doctrine (kernel §3.8) — when an operation will recur across independent sessions, the unit of work is a durable, tested, cataloged tool, not a throwaway script. Defines what counts as a durable tool, what stays disposable, the procedure sibling (a project skill), and the fail-closed rule that a task is incomplete until a durable tool is cataloged or recorded absent. authoring a tool is agent.tool-smith; cataloging one happens inside the single canonize close-out spawn. This node is the rule both of them answer to, and every session reads it.

Why use Toolcraft on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/llopresto87/Cypress/tree/main/skills/toolcraft. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Toolcraft?

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 Toolcraft?

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

Is the Toolcraft AI skill free?

Yes. It is published on GitHub by llopresto87 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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