mps-dsl-memory
SkillDocs & knowledgeCreate 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.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the mps-dsl-memory skill
What this skill tells your AI
The instructions your AI receives, as published by jetbrains/mps in .agents/skills/mps-dsl-memory/SKILL.md and read by ahel’s review.
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-dsl/, or the existing one is outdated.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
.mpsXML.
Workflow
- Discover languages: Call
mps_mcp_get_project_structurewithincludeModels: false. Identify all editable DSL language modules and derive each concept-tools language ref asl:<uuid>:<languageName>. - 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.
- Find examples: For each language or language group, call
mps_mcp_get_project_structurewith the relevant sandbox/example solution asstartingPointandincludeRootNodes: true. Record editable model refs and representative root refs. - Read concepts: Call
mps_mcp_get_concept_detailswith the relevantl:<uuid>:<languageName>refs. Capture rootable concepts, concrete children, properties, child roles, references, and usefulshortDescriptiontext. - Sample sparingly: Use
mps_mcp_print_nodeonly on representative roots or subtrees needed for reference targets, required roles, or reusable blueprints. Avoid dumping every root. - 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. - 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.
- Verify: Confirm linked reference files exist, blueprint JSON parses, no
.DS_Storeor editor artifacts were added, and one or two recorded node refs still resolve if the sandbox may have changed.
Generated Skill Layout
.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>-dsldescription: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
.mpsXML. - Use
mps_mcp_get_concept_detailswithl:<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.
- Use MPS MCP tools; do not hand-edit
- Quick start:
- Use the recorded sandbox model for examples or new sample roots.
- Start from
references/blueprints/for known shapes. - 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_problemsand 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
references/concepts.md: concept hierarchy, rootable concepts, properties, child roles, references, and semantic notes.references/sandbox.md: sandbox model refs, representative roots, configuration nodes, reference targets, and stable node refs.references/workflows.md: creation/editing recipes, including when to use full-root JSON versus skeleton-plus-subtrees.references/gotchas.md: 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.
Signals
- GitHub stars
- 2k
- Forks
- 309
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
mps-dsl-memory- Source
- github.com/jetbrains/mps