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Analyze an MPS language by name — discover concepts, properties, references, children, aspects (editor/constraints/behavior), and metadata.
OfficialApache-2.0Auto-check passed
Install Mps Language Analysis
$ npx skills add JetBrains/MPS --skill mps-language-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install JetBrains/MPS mps-language-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/JetBrains/MPS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/mps-language-analysis .claude/skills/mps-language-analysis && rm -rf skills-srcUse ~/.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/
Install the "mps-language-analysis" agent skill from https://github.com/JetBrains/MPS/tree/master/.agents/skills/mps-language-analysis into .claude/skills/mps-language-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mps-language-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/JetBrains/MPS/tree/master/.agents/skills/mps-language-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add JetBrains/MPS --skill mps-language-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install JetBrains/MPS mps-language-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/MPS.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/mps-language-analysis .agents/skills/mps-language-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mps-language-analysis" agent skill from https://github.com/JetBrains/MPS/tree/master/.agents/skills/mps-language-analysis into .agents/skills/mps-language-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mps-language-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add JetBrains/MPS --skill mps-language-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install JetBrains/MPS mps-language-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/MPS.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/mps-language-analysis .cursor/skills/mps-language-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mps-language-analysis" agent skill from https://github.com/JetBrains/MPS/tree/master/.agents/skills/mps-language-analysis into .cursor/skills/mps-language-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mps-language-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/JetBrains/MPS.git --path .agents/skills/mps-language-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add JetBrains/MPS --skill mps-language-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install JetBrains/MPS mps-language-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/MPS.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/mps-language-analysis .gemini/skills/mps-language-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mps-language-analysis" agent skill from https://github.com/JetBrains/MPS/tree/master/.agents/skills/mps-language-analysis into .gemini/skills/mps-language-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mps-language-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install JetBrains/MPS mps-language-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add JetBrains/MPS --skill mps-language-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/JetBrains/MPS.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/mps-language-analysis .github/skills/mps-language-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mps-language-analysis" agent skill from https://github.com/JetBrains/MPS/tree/master/.agents/skills/mps-language-analysis into .github/skills/mps-language-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mps-language-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add JetBrains/MPS --skill mps-language-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install JetBrains/MPS mps-language-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/JetBrains/MPS.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/mps-language-analysis .opencode/skills/mps-language-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mps-language-analysis" agent skill from https://github.com/JetBrains/MPS/tree/master/.agents/skills/mps-language-analysis into .opencode/skills/mps-language-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mps-language-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
mps-language-analysis- GitHub stars
- 1.7k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 596 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 40
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Analyze an MPS language by name — discover concepts, properties, references, children, aspects (editor/constraints/behavior), and metadata.
- Works in 4 steps: Verify Language: call… → Retrieve Concepts: use… → Extract Data: the response includes → …
- Investigating an unfamiliar language
- SKILL.md covers Loading companion skills, Critical Directives, Analyzing a Language by Name and Inspecting Concept Aspects, plus 3 more sections
- Runs Python scripts from its folder; calls python3
What it does
Mps Language Analysis is an agent skill from JetBrains/MPS, published by the product's own GitHub organization. Analyze an MPS language by name — discover concepts, properties, references, children, aspects (editor/constraints/behavior), and metadata. Use when investigating an unfamiliar language, exploring concept structure, or finding sample nodes to use as templates for JSON blueprints.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/concept-details.md`, `references/search-concepts.md` and `scripts/concept_shape.py`).
It works with JetBrains IDEs and Model Context Protocol. The repository describes itself as: JetBrains Meta programming System. The licence is Apache-2.0.
When your agent uses it
- Investigating an unfamiliar language
- Exploring concept structure
- Finding sample nodes to use as templates for JSON blueprints
Example prompts
- “/mps-language-analysis”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Verify Language: call mps_mcp_get_project_structure with the language name as a filter (startingPoint: My_Language). This confirms…
- Retrieve Concepts: use mps_mcp_get_concept_details with the language name in languageRefs. Both conceptRefs and languageRefs accept either…
- Extract Data: the response includes
- Drill Down
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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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 Language Analysis loads about 1.4k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 596 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from JetBrains/MPS at commit a92f944, republished under its Apache-2.0 licence (© JetBrains). 596 words, ~1,423 tokens.
Download SKILL.mdSave it as
.claude/skills/mps-language-analysis/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- mps-language-analysis
- description
- Analyze an MPS language by name — discover concepts, properties, references, children, aspects (editor/constraints/behavior), and metadata. Use when investigating an unfamiliar language, exploring concept structure, or finding sample nodes to use as templates for JSON blueprints.
- type
- reference
MPS Language Analysis
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.
Workflow for inspecting an MPS language from a name (e.g. jetbrains.mps.lang.core). Returns concepts, metadata, structural info, and pointers to declarations and sample nodes.
Critical Directives
- Use the fully qualified language name (e.g.
jetbrains.mps.lang.core) — single-letter shorthand (j.m.l.core) requires resolution first viamps_mcp_get_project_structure. - For the
qualifiedNamereturned bymps_mcp_get_concept_details, use it as theconceptfield in JSON blueprints. It is unambiguous.
Analyzing a Language by Name
- Verify Language: call
mps_mcp_get_project_structurewith the language name as a filter (startingPoint: My_Language). This confirms existence and provides the UUID. - Retrieve Concepts: use
mps_mcp_get_concept_detailswith the language name inlanguageRefs. BothconceptRefsandlanguageRefsaccept either one value or a JSON array (real or written as a string); omit the unused selector. - Extract Data: the response includes:
- Name: concept FQN.
- Description: found in
shortDescription. - Metadata:
isRootable,isAbstract, and theconceptReferenceID. - Structure: properties, children, and references are detailed here.
- Drill Down:
- Declaration: use the
sourceNodereference withmps_mcp_open_nodeto open the definition. - Examples: use
mps_mcp_query_nodeswithFIND_INSTANCES(sampleOnly: true) to get a sample node. Then usemps_mcp_print_nodeto see its canonical JSON structure for use as a template. - Inheritance: load the
mps-language-inheritanceskill for deeper hierarchy analysis.
- Declaration: use the
Inspecting Concept Aspects
Use mps_mcp_query_structure with LIST_CONCEPT_ASPECTS to find associated definitions (Editor, Constraints, Behavior):
- Direct Aspects: returns roots targeting the specific concept.
- Inherited Aspects: set
includeInherited: trueto include aspects from ancestors (superconcepts/interfaces). - Editor Analysis:
- ConceptEditorDeclaration: defines the full editor for the
targetsConcept. - EditorComponentDeclaration: defines reusable presentation pieces.
- Check the
editormodel in the response to identify available editors.
- ConceptEditorDeclaration: defines the full editor for the
Show full SKILL.md (236 more words)Show less
Related Skills
mps-language-inheritance— load when you need extended-language / superconcept / subconcept analysis.mps-aspect-structure-concepts— load when defining or modifying concepts (not just reading them).mps-language-aspects-overview— overview of which aspects exist and what each owns.
Reference Index
- Open
references/search-concepts.mdfor themps_mcp_search_conceptsmatching algorithm — haystack composition, subtoken splitting, fallback ranking, the three scopes (modelReference/scope) and the auto-widen, thedetailprojections, the 50-match cap, and the sub-2-char failure mode. - Open
references/concept-details.mdfor themps_mcp_get_concept_detailsresult schema and the unresolved-ref policy (all-failed vs partial-success envelopes and the suggestion heuristic).
Scripts
scripts/concept_shape.py — reduces a mps_mcp_get_concept_details result file to one line
per property, reference, and child role (type, enum literals, cardinality): the concept shape
needed to author a blueprint, instead of the 10–40 KB details file.
python3 scripts/concept_shape.py /var/folders/.../mps-node-456.json --concept Course
Course com.example.courses.structure.Course rootable
prop credits integer
prop level enum Level [INTRO|CORE|ADVANCED]
child lessons com.example.courses.structure.Lesson 1..n
child prerequisites com.example.courses.structure.CourseRef 0..n--all keeps the inherited shortDescription / virtualPackage / smodelAttribute features
that are hidden by default; --list-tools prints the tools and parameters it depends on. The
script is a thin front end over scripts/mps_dump.py in the mps-mcp-workflow skill root
after loading that companion skill from the same origin, which must be installed alongside
this one; that library also offers the roots, node, and count projections.
No python3 (typically Windows): read the details file with the file reader and keep, per
concept, only qualifiedName, isAbstract/isRootable, and for each entry of properties /
references / children the name, type/targetConcept, cardinality, and
enumerationValues (plus enumerationDefault, the literal a property holding the default value
carries) — ignore featureId, sourceNode, doc, and sampleNode unless you need them.
© 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
SKILL.md and 3 other files (scripts, references) in .agents/skills/mps-language-analysis of JetBrains/MPS.
- SKILL.md
- references/concept-details.md
- references/search-concepts.md
- scripts/concept_shape.py
Open the folder on GitHubat commit a92f944
Compare with similar skills
Mps Language Analysis 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mps Language Analysis this skillJetBrains/MPS | 1.7k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Claude Docs Consultantcentminmod/my-claude-code-setup | 2.7k | — | ~959 | Automated safety check: Pass | MIT | |
| Spock AdbWahdanZ/SpockAdb | 114 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Amplicode InstallAmplicode/spring-skills | 126 | — | ~2.6k | Automated safety check: Pass | None | |
| Idea MCPdtprj/dongting | 208 | — | ~698 | Automated safety check: Pass | Apache-2.0 | |
| Spring Data JpaAmplicode/spring-skills | 126 | — | ~838 | Automated safety check: Pass | None |
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Questions about Mps Language Analysis
What does Mps Language Analysis do?
Analyze an MPS language by name — discover concepts, properties, references, children, aspects (editor/constraints/behavior), and metadata. Mps Language Analysis is an agent skill from JetBrains/MPS, published by the product's own GitHub organization. Analyze an MPS language by name — discover concepts, properties, references, children, aspects (editor/constraints/behavior), and metadata.
When should I use Mps Language Analysis?
Mps Language Analysis fits situations like: investigating an unfamiliar language; exploring concept structure; finding sample nodes to use as templates for JSON blueprints.
How do I install Mps Language Analysis in Claude Code?
Run `npx skills add JetBrains/MPS --skill mps-language-analysis -a claude-code`. Or copy the skill folder (.agents/skills/mps-language-analysis in JetBrains/MPS) into .claude/skills/mps-language-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Mps Language Analysis in Codex?
Run `npx skills add JetBrains/MPS --skill mps-language-analysis -a codex`. Or copy the skill folder (.agents/skills/mps-language-analysis in JetBrains/MPS) into .agents/skills/mps-language-analysis in your project. Codex loads it when a task matches its description.
Can I use Mps Language Analysis 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-language-analysis -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-language-analysis, .gemini/skills/mps-language-analysis, .github/skills/mps-language-analysis and .opencode/skills/mps-language-analysis in your project.
What does Mps Language Analysis need to run?
Going by SKILL.md and its folder, Mps Language Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Mps Language Analysis 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 Language Analysis 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Mps Language Analysis use?
Mps Language Analysis 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 Language Analysis use?
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.
What are the alternatives to Mps Language Analysis?
Skills that share tags, products or a category with Mps Language Analysis: Claude Docs Consultant (centminmod/my-claude-code-setup, 2.7k stars), Spock Adb (WahdanZ/SpockAdb, 114 stars), Amplicode Install (Amplicode/spring-skills, 126 stars) and Idea MCP (dtprj/dongting, 208 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mps Language Analysis?
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.