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Official agent skill

Mps Dsl Memory

by JetBrains in JetBrains/MPS

Create or refresh project-local DSL skills under .agents/skills/<dsl-name-dsl/ for one or more MPS languages after discovering concepts, sandbox examples, JSON blueprints, references, or gotchas.

OfficialApache-2.0Auto-check passed

Install Mps Dsl Memory

skills CLI
$ npx skills add JetBrains/MPS --skill mps-dsl-memory -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install JetBrains/MPS mps-dsl-memory --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/JetBrains/MPS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/mps-dsl-memory .claude/skills/mps-dsl-memory && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
mps-dsl-memory
GitHub stars
1.7k
Token cost
~2k tokens
SKILL.md length
962 words
Files
1
Skills in repo
40
Repo updated
First seen
Licence
Apache-2.0

At a glance

Create or refresh project-local DSL skills under .agents/skills/<dsl-name-dsl/ for one or more MPS languages after discovering concepts, sandbox examples, JSON blueprints, references, or gotchas.

  • Works in 8 steps: Discover languages: Call… → Choose skill scope: Prefer one generated… → Find examples: For each language or… → …
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mps Dsl Memory is an agent skill from JetBrains/MPS, published by the product's own GitHub organization. Create or refresh project-local DSL skills under .agents/skills/<dsl-name-dsl/ for one or more MPS languages after discovering concepts, sandbox examples, JSON blueprints, references, or gotchas.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Model Context Protocol. The repository describes itself as: JetBrains Meta programming System. The licence is Apache-2.0.

Example prompts

  • “/mps-dsl-memory”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Discover languages: Call mps_mcp_get_project_structure with includeModels: false. Identify all editable DSL language modules and derive…
  2. Choose skill scope: Prefer one generated skill per language. Use one combined skill only when the project languages are tightly coupled…
  3. Find examples: For each language or language group, call mps_mcp_get_project_structure with the relevant sandbox/example solution as…
  4. Read concepts: Call mps_mcp_get_concept_details with the relevant l:: refs. Capture rootable concepts, concrete children, properties…
  5. Sample sparingly: Use mps_mcp_print_node only on representative roots or subtrees needed for reference targets, required roles, or…
  6. Generate DSL skills: Create or update .agents/skills/-dsl/ for each selected scope. Preserve user-added notes unless they are stale or…
  7. Cross-link related skills: When generated skills cover languages that extend, depend on, or are commonly used inside each other, add short…
  8. Verify: Confirm linked reference files exist, no .DS_Store or editor artifacts were added, and one or two recorded node refs still resolve…

What it can do on your machine

Read from SKILL.md and the folder at commit a92f944. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mps Dsl Memory loads about 2k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 962 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from JetBrains/MPS at commit a92f944, republished under its Apache-2.0 licence (© JetBrains). 962 words, ~1,981 tokens.

Download SKILL.mdSave it as .claude/skills/mps-dsl-memory/SKILL.md (or your agent's skills folder).
name
mps-dsl-memory
description
Create or refresh project-local DSL skills under `.agents/skills/<dsl-name>-dsl/` for one or more MPS languages after discovering concepts, sandbox examples, JSON blueprints, references, or gotchas.
type
reference

Loading companion skills

Companion names in this skill are lazy dependencies: load only those relevant to the current task. If this skill came from an MCP server, use the host's skill loader to resolve the companion's unique discovered entry URI on the same host-assigned originating server. If the host has no server-backed skill loader, stop and report that limitation; do not silently fall back to a filesystem copy. If this skill came from a filesystem catalog, load the named sibling from that same catalog at <skills-root>/<skill-name>/SKILL.md, even if remote skill loaders are also available. Do not invent a tool name or server endpoint.

When to Use
  • A new MPS sample or DSL project has no generated DSL skill under .agents/skills/<dsl-name>-dsl/, or the existing one is outdated.
  • The user says "bootstrap DSL skill", "generate DSL skill", or "document this DSL".
  • You have just explored a DSL and want to persist your findings for future sessions as a project-local skill.
Prerequisites
  • MPS MCP tools are available.
  • The project has one or more language modules and at least one sandbox, example solution, or editable model that exercises the DSLs.
  • Use MPS MCP tools for discovery and model edits. Do not hand-edit serialized .mps XML.
Workflow
  1. Discover languages: Call mps_mcp_get_project_structure with includeModels: false. Identify all editable DSL language modules and derive each concept-tools language ref as l:<uuid>:<languageName>.
  2. Choose skill scope: Prefer one generated skill per language. Use one combined skill only when the project languages are tightly coupled and users normally edit them together.
  3. Find examples: For each language or language group, call mps_mcp_get_project_structure with the relevant sandbox/example solution as startingPoint and includeRootNodes: true. Record editable model refs and representative root refs.
  4. Read concepts: Call mps_mcp_get_concept_details with the relevant l:<uuid>:<languageName> refs. Capture rootable concepts, concrete children, properties, child roles, references, and useful shortDescription text.
  5. Sample sparingly: Use mps_mcp_print_node only on representative roots or subtrees needed for reference targets, required roles, or reusable blueprints, and derive blueprints from that output rather than writing them by hand. Avoid dumping every root.
  6. Generate DSL skills: Create or update .agents/skills/<dsl-name>-dsl/ for each selected scope. Preserve user-added notes unless they are stale or wrong. In every generated file, write the temp directory as $TMPDIR (%TEMP% on Windows), never as the resolved directory (/private/var/folders/…/T, C:\Users\…\Temp), which differs per machine.
  7. Cross-link related skills: When generated skills cover languages that extend, depend on, or are commonly used inside each other, add short links and usage notes between them.
  8. Verify: Confirm linked reference files exist, no .DS_Store or editor artifacts were added, and one or two recorded node refs still resolve if the sandbox may have changed. Dry-run every blueprint under references/blueprints/: mps_mcp_insert_root_node_from_json with dryRun: true into a sandbox model for a root blueprint, mps_mcp_update_node ADD CHILD with dryRun: true under a sample parent for a fragment. The server reads a json / childJson file only from the system temp directory, so a path under .agents/skills/ is rejected with "is not inside the system temp directory"; that rejection is not a blueprint failure. Send each file's exact content inline (up to 4,096 characters), or copy the files first and pass each copy's absolute path: d="${TMPDIR:-/tmp}/<dsl-name>-blueprints"; mkdir -p "$d"; cp .agents/skills/<dsl-name>-dsl/references/blueprints/*.json "$d/". When a dry run fails, fix the shipped file, not only the inline text or the temp copy, and dry-run again from the fixed file. Parsing as JSON is not enough, because the server rejects blueprints that parse. If every blueprint is rejected with Unknown property …, the language descriptor is hollow: MAKE the language and retry. Warnings for references given by name are expected; see "Dry-run response" in references/reference-formats/response-envelope.md in the mps-mcp-workflow skill root after loading that companion skill from the same origin.
Show full SKILL.md (344 more words)Show less
Generated Skill Layout
text
.agents/skills/<dsl-name>-dsl/
|-- SKILL.md
`-- references/
    |-- concepts.md
    |-- sandbox.md
    |-- workflows.md
    |-- gotchas.md
    `-- blueprints/
        |-- <operation>-skeleton.json
        `-- <operation>-subtree.json

The <dsl-name> slug is derived from the language namespace: use stable lowercase, split camel case and separators into words, and prefer the namespace's final meaningful segment unless the project consistently names the DSL differently. The -dsl suffix is mandatory — callers (such as mps-mcp-workflow) discover generated skills with the glob .agents/skills/*-dsl/.

Generated SKILL.md Requirements
  • Frontmatter:
    • name: <dsl-name>-dsl
    • description: Use when creating, editing, validating, or inspecting this DSL's models.
  • Short domain summary: two to four sentences. For combined skills, name each covered language and when to use the combined workflow.
  • Critical rules:
    • Use MPS MCP tools; do not hand-edit .mps XML.
    • Use mps_mcp_get_concept_details with l:<uuid>:<languageName>, not <uuid>(<languageName>).
    • Prefer skeleton-plus-subtree insertion for large or uncertain roots.
    • Validate changed roots with mps_mcp_check_root_node_problems.
  • Quick start:
    • Use the recorded sandbox model for examples or new sample roots.
    • Start from references/blueprints/ for known shapes: send a blueprint's content inline, or copy the file to ${TMPDIR:-/tmp} (%TEMP% on Windows) and pass the copy's absolute path. The server does not read a file under .agents/skills/.
    • Dry-run root JSON with mps_mcp_insert_root_node_from_json.
    • Insert roots with mps_mcp_insert_root_node_from_json.
    • Add child-role subtrees incrementally for large roots.
    • Run mps_mcp_check_root_node_problems and any task-required build/generation checks.
  • Project references:
    • Concept-tools language ref for each covered language.
    • Sandbox/example model refs.
    • Primary editable modules.
    • Dependencies or extension relationships between covered project languages, if relevant.
  • Related DSL skills:
    • Link sibling generated skills when another project language supplies child concepts, expressions, commands, reference targets, or extensions used by this language.
    • Explain when to load each related skill.
  • Reference directory links.
Reference Files
  • concepts.md under the generated skill's references/: concept hierarchy, rootable concepts, properties, child roles, references, and semantic notes.
  • sandbox.md under the generated skill's references/: sandbox model refs, representative roots, configuration nodes, reference targets, and stable node refs.
  • workflows.md under the generated skill's references/: creation/editing recipes, including when to use full-root JSON versus skeleton-plus-subtrees.
  • gotchas.md under the generated skill's references/: reference formats, ordering constraints, required roles, expression precedence issues, extension-language dependencies, and known validation failures.
  • references/blueprints/: valid compact JSON skeletons and subtree templates, in the array form print_node emits (properties:[{name,value}], not a map).

© JetBrains, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/mps-dsl-memory of JetBrains/MPS.

Open the folder on GitHubat commit a92f944

Compare with similar skills

Mps Dsl Memory next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Mps Dsl Memory compared with similar skills
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MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
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Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.4k6 repos~3.2kAutomated safety check: NotesApache-2.0

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Works with

Questions about Mps Dsl Memory

What does Mps Dsl Memory do?

Create or refresh project-local DSL skills under .agents/skills/<dsl-name-dsl/ for one or more MPS languages after discovering concepts, sandbox examples, JSON blueprints, references, or gotchas. Mps Dsl Memory is an agent skill from JetBrains/MPS, published by the product's own GitHub organization.agents/skills/<dsl-name-dsl/ for one or more MPS languages after discovering concepts, sandbox examples, JSON blueprints, references, or gotchas.

How do I install Mps Dsl Memory in Claude Code?

Run `npx skills add JetBrains/MPS --skill mps-dsl-memory -a claude-code`. Or copy the skill folder (.agents/skills/mps-dsl-memory in JetBrains/MPS) into .claude/skills/mps-dsl-memory in your project. Claude Code loads it when a task matches its description.

How do I install Mps Dsl Memory in Codex?

Run `npx skills add JetBrains/MPS --skill mps-dsl-memory -a codex`. Or copy the skill folder (.agents/skills/mps-dsl-memory in JetBrains/MPS) into .agents/skills/mps-dsl-memory in your project. Codex loads it when a task matches its description.

Can I use Mps Dsl Memory in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add JetBrains/MPS --skill mps-dsl-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mps-dsl-memory, .gemini/skills/mps-dsl-memory, .github/skills/mps-dsl-memory and .opencode/skills/mps-dsl-memory in your project.

What does Mps Dsl Memory need to run?

SKILL.md names no scripts, command-line tools or credentials: Mps Dsl Memory is instructions for the agent only.

Does Mps Dsl Memory access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Mps Dsl Memory safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Mps Dsl Memory use?

Mps Dsl Memory is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mps Dsl Memory use?

About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mps Dsl Memory?

Skills that share tags, products or a category with Mps Dsl Memory: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mps Dsl Memory?

JetBrains (a GitHub organization, an official publisher) maintains it in JetBrains/MPS, which has 1,660 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 7, 2026.

Source: JetBrains/MPS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.