Name: mps-aspect-dataflow
Rating: 78.4 (1 reviews)
Author: JetBrains

mps-aspect-dataflow

Use when defining or debugging MPS dataflow builders for a concept — control/data flow declarations that drive reachability analysis and variable-use checking. Covers DataFlowBuilderDeclaration, BuilderBlock, emit instructions (code for, jump, ifjump, label, read, write, ret, mayBeUnreachable), positions (AfterPosition, BeforePosition, LabelPosition), the jetbrains.mps.lang.dataFlow language, the NodeParameter implicit, BL+smodel usage inside builder bodies, and IBuilderMode for advanced analyses such as nullable/non-null tracking.

Quality

100%

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Securityby

Passed

No findings from the security scan

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is an exemplar reference skill: concise but dense, immediately actionable with named tools and exact identifiers, a clearly sequenced workflow with validation, and clean progressive disclosure to six well-signaled one-level references. Content appropriately split between the overview and bundle files.

Dimension	Reasoning	Score
Conciseness	Lean and dense with expertise: every section earns its tokens (mental model, critical directives, numbered workflow, reference index) and assumes Claude's competence, avoiding generic explanations of what MPS or dataflow is.	3 / 3
Actionability	Concrete and actionable throughout: named MCP tools (mps_mcp_create_model, mps_mcp_check_root_node_problems), exact aspect-ID spelling ('dataFlow', case-sensitive), and a numbered workflow with specific emit-statement types and positions.	3 / 3
Workflow Clarity	Clear six-step sequence with an explicit validation checkpoint (step 6: 'Validate with mps_mcp_check_root_node_problems') and a debugging feedback path (inspect a known-good builder with mps_mcp_print_node deep:true) for error recovery.	3 / 3
Progressive Disclosure	Well-structured overview that points to six one-level-deep references, each with a clear 'open when...' trigger and verified bundle files that match the referenced paths (concept-catalog.md, json-patterns.md, rules-and-pitfalls.md, etc.).	3 / 3
	Total	12 / 12 Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is precise, comprehensive, and well-targeted: it states both what the skill does and when to use it, with concrete MPS-specific terminology and natural trigger phrasing. It is slightly dense but earns its tokens through specificity rather than fluff.

Dimension	Reasoning	Score
Specificity	Lists many concrete actions and artifacts: 'defining or debugging MPS dataflow builders', 'reachability analysis and variable-use checks', plus a long enumerated set of concrete emit instructions, positions, and concepts.	3 / 3
Completeness	Explicitly answers both what (control/data flow declarations, specific constructs and instructions) and when ('Use when defining or debugging MPS dataflow builders for a concept').	3 / 3
Trigger Term Quality	Includes natural trigger phrasing ('Use when defining or debugging MPS dataflow builders for a concept') and surfaces user-recognizable terms like 'dataflow builders', 'reachability analysis', 'variable-use checking', and 'nullable/non-null tracking'.	3 / 3
Distinctiveness Conflict Risk	Highly specific MPS dataflow niche with named language and constructs, clearly distinct from sibling skills like typesystem or behavior aspects; unlikely to trigger for the wrong skill.	3 / 3
	Total	12 / 12 Passed

Validation

87%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning
relative_links	Relative link issues: 1 suspicious	Warning

	Total	14 / 16 Passed

Repository: JetBrains/MPS
Path: .agents/skills/mps-aspect-dataflow/SKILL.md
Commit: 52c9d63

Reviewed: about 5 hours ago

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