Results for “dia”

Guides collaborative dialogue to turn ideas into approved designs and specs before any implementation begins.

Guides collaborative dialogue to turn ideas into approved designs and specs before any implementation begins.

Diagnoses and fixes MCP gateway routing issues, health checks, and server connectivity problems.

Orchestrates Android development tasks including project creation, deployment, SDK management, and environment diagnostics using the `android` command-line tool.

Use this skill to validate the "why" before building, run product diagnostics, and convert vague ideas into specs.

Guides collaborative dialogue to turn ideas into approved designs and specs before any implementation begins.

Run a structured churn-save play for an at-risk account to diagnose root cause and reverse the decision.

draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.

Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

AL debugging and diagnostics for Business Central. Use when performing snapshot debugging, CPU profiling, analyzing telemetry, or troubleshooting runtime issues.

draw.io diagram creation, editing, and review. Use for .drawio XML editing, PNG conversion, layout adjustment, and AWS icon usage.

Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

Use when the user asks to create ERD diagrams, normalize database schemas, design table relationships, or plan schema migrations.

Rapid-iteration parameter tuning, diagnostics, and Custom-HLSL scratch-pad authoring for Niagara systems (VibeUE NiagaraService + NiagaraScratchPadService). System/emitter/parameter CRUD is owned by the engine NiagaraToolsets. Use when the user asks to tune emitter rapid-iteration params, compare/diagnose systems, or build scratch-pad/Custom HLSL modules. For emitter color/module work, load niagara-emitters.

Programmatic canvas toolkit for creating, editing, and refining Excalidraw diagrams via MCP tools with real-time canvas sync. Use when an agent needs to (1) draw or lay out diagrams on a live canvas, (2) iteratively refine diagrams using describe_scene and get_canvas_screenshot to see its own work, (3) export/import .excalidraw files or PNG/SVG images, (4) save/restore canvas snapshots, (5) convert Mermaid to Excalidraw, or (6) perform element-level CRUD, alignment, distribution, grouping, duplication, and locking. Requires a running canvas server (EXPRESS_SERVER_URL, default http://localhost:3000).

Recommends weight‑losing and weight‑neutral medications as first‑ and second‑line agents for managing overweight/obese patients with type 2 diabetes. Triggers include when a clinician asks, 'Which diabetes medications will not worsen weight in this obese patient?' or 'Should I avoid sulfonylureas in this patient with T2DM and obesity due to weight gain risk?'

Guides collaborative dialogue to turn ideas into fully formed designs and specs before any implementation begins.

Diagnose and resolve Debian Linux issues using apt, systemd, and AppArmor-aware guidance.

Guides collaborative dialogue to turn ideas into designs and specs, exploring intent and requirements before any implementation.

Investigates hard, flaky, or performance failures through a six-phase feedback-loop-first debugging process; use when quick targeted debugging is insufficient.

Diagnoses a reported bug, error, test failure, or unexpected behavior through a 4-phase root-cause analysis before any code changes.

Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

Use when visualizing RNA secondary structures from dot-bracket notation or Stockholm alignments, generating structure diagrams, or creating annotated consensus structure plots.

Composite skill — diagnose, repair, and validate a test suite end-to-end. Chains test-health (diagnose) → config-drift-detect (gate compatibility) → test-cleanup (prune + add integration tests) → mutation-test (validate survivors) → adr-write (capture decisions) → docs-sync. Use when "the test suite is bad" or you've hit the test-cleanup-bails-at-the-gate failure mode.

Embody the voice and methodology of theologian Karl Barth for theological discussion and analysis.

Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.

Incident response mode — diagnose a production issue, write a postmortem, add follow-up tasks to TODO.md. Use when user says "/incident [description]".

Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods.

Designing database schemas, planning migrations, and authoring ER diagrams. Handles normalization, index strategies, and relation definitions. Use when DB schema design is needed.

Multi-perspective dialectical reasoning with cross-evaluative synthesis. Spawns parallel evaluative lenses (STRUCTURAL, EVIDENTIAL, SCOPE, ADVERSARIAL, PRAGMATIC) that critique thesis AND critique each other's critiques, producing N-squared evaluation matrix before recursive aggregation. Triggers on /critique, /dialectic, /crosseval, requests for thorough analysis, stress-testing arguments, or finding weaknesses. Implements Hegelian refinement enhanced with interleaved multi-domain evaluation and convergent synthesis.

Diagnose monogenic and syndromic obesity in children and adolescents using a structured step-by-step algorithm. Use this skill whenever a clinician suspects a genetic cause of obesity, asks about leptin deficiency, MC4R mutation, POMC deficiency, PCSK1 deficiency, leptin receptor deficiency, Bardet-Biedl syndrome, Prader-Willi syndrome, Alström syndrome, or any case of early-onset severe obesity with hyperphagia. Also trigger for questions about targeted pharmacotherapy including setmelanotide or metreleptin, or when to order a genomic obesity panel. Cross-references the NHS Genomic Test Finder skill to surface the relevant R-code once a diagnosis is reached.

This skill guides selection of an appropriate provocative test for growth hormone deficiency (GHD) diagnosis in childhood cancer survivors when clinicians ask, "What test should I use to diagnose GHD in this survivor?" or "Which provocative test is appropriate for GHD evaluation?" It recommends using the same testing modalities as in the noncancer population, tailored to patient-specific contraindications.

Detects MSBuild projects with conflicting OutputPath or IntermediateOutputPath to diagnose build failures.