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Found 2,738 Skills
Runs validator checks only without AI reviews for requests such as "run validator checks", "check without reviews", or "validate before commit without AI review".
Generate, validate, and manage Israeli e-invoices (hashbonit electronit) per Tax Authority (SHAAM) standards. Use when user asks to create Israeli invoices, request allocation numbers, validate invoice compliance, or asks about "hashbonit", "e-invoice", "SHAAM", "allocation number", or Israeli invoicing requirements. Supports tax invoice (300), tax invoice/receipt (305), credit invoice (310), receipt (320), and proforma (330) types. Do NOT use for general accounting, bookkeeping, or non-Israeli invoice formats.
Automated pipeline for retraining ML models with new construction data. Monitor model drift, trigger retraining, and validate model performance.
Produces a margin-by-product table and three pricing-scenario data views so the owner can see the full financial picture before making a pricing decision. Accepts optional product name argument.
Reviews the current local diff or branch at the end of a coding session for high-confidence bugs and repository instruction-file compliance. Use when asked to run `/pr-reviewer` before commit, before push, or before handing changes off for PR creation or update, and when only certain, actionable findings should be reported while style feedback is ignored.
Upgrade Prisma Next in your app. Bumps every `@prisma-next/*` dependency from the version pinned in the lockfile to the requested target (or npm `latest`), applies any required code-translation steps from the per-transition upgrade instructions, validates with the project's own typecheck + tests, and commits each minor step on its own. Use when the user asks to "upgrade Prisma Next", "bump Prisma Next", "move to Prisma Next X.Y", or asks an agent to deal with an `@prisma-next/*` minor bump in their app.
Concept prototype — validate the core idea is worth designing before writing GDDs. Run right after /brainstorm and /setup-engine. Routes to HTML, Engine, or Paper path based on game type. Produces a throwaway build and a PROCEED/PIVOT/KILL verdict.
Verify a claim with fresh local evidence: restate it falsifiably, capture baseline and treatment, compare artifacts, and return VERIFIED, NOT VERIFIED, or INCONCLUSIVE.
Use when validating that a real-world problem exists before defining JTBD or writing code. Triggers on "is there demand for this?", "how do I validate this idea?", "should we build this?", or before any MVP scope decision. Combines multiple signal sources to produce a Problem Statement with confidence level.
Generate, regenerate, and validate 2D DXF drawings from Python ezdxf sources. Use for DXF files, gen_dxf() sources, 2D profiles, outlines, templates, gaskets, panels, flat patterns, laser/plasma/waterjet cut layouts, and 2D drawing exports of CAD geometry.
Defining and validating database schemas with proper typing, index configuration, optional fields, unions, and migration strategies for schema changes
Scans TON (The Open Network) smart contracts for 3 critical vulnerabilities including integer-as-boolean misuse, fake Jetton contracts, and forward TON without gas checks. Use when auditing FunC contracts.