Results for “runs”

Runs 150+ AI apps in the cloud via the inference.sh CLI, covering image generation, video creation, LLMs, web search, 3D generation, and Twitter automation.

Runs adversarial UI tests in a real browser, covering functional, accessibility, responsive, and UX checks, with diff-driven, exploratory, and parallel workflows.

Validates product direction before building, runs product diagnostics, founder reviews, user journey audits, and feature prioritization, producing actionable briefs and recommendations.

Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter.

Runs a relentless interview that sharpens a plan or design and creates docs (ADRs and glossary) along the way. Use when the user wants to stress-test a plan or design, or produce decision records.

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.

NVIDIA's runtime safety framework for LLM applications. Features jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.

Coordinate proof runs across three interfaces: exhaust actionable local proof work first, package exact unresolved obligations for a provider-neutral external solver only when justified, and keep the user informed and in control of consequential choices.

Run a Codex prompt on a cron schedule or at a specific future time. Codex app Automations is the official, always-on surface for durable recurring schedules — recommend it FIRST; this local skill is a terminal fallback that only fires while its daemon runs. Triggers include "/schedule", "cron", "every Monday 9am", "run this at 3pm", "schedule a codex prompt", "recurring codex task", and one-time future runs ("run once at 3pm", "remind me to check X tomorrow"). For fixed-interval repeats ("every N minutes"), use the separate `loop` skill instead.

Trains, evaluates, exports, quantizes, and runs inference for a Grounding DINO model that detects objects described by text prompts without a fixed class vocabulary.

Build ultra-fast web APIs and full-stack apps with Hono, a lightweight framework that runs on Cloudflare Workers, Deno, Bun, Node.js, and any WinterCG-compatible runtime.

Runs full Trailmark structural analysis by building a graph and computing pre-analysis passes for hotspots, taint, blast radius, privilege boundaries, and attack surface.

Reviews an academic paper using the NeurIPS review form with three reviewer personas, ensemble scoring, and reflection refinement. Extracts text from PDF, runs structured review, and outputs actionable feedback.

Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples. Use when the user runs /si:extract or asks to package a recurring solution from memory into a skill.

Run shell commands in the background with output capture and completion callbacks. Use when a command might take more than ~30 seconds (builds, tests, deployments, data processing) and you want to keep working while it runs.

Create and manage persistent AI agents with threads, messages, runs, and tools using the Azure AI Agents SDK for .NET.

Trains, evaluates, exports, and runs inference for NVPanoptix3D models that perform panoptic 3D scene reconstruction from posed RGB images, producing 3D panoptic segmentation with occupancy completion.

Runs a multi-phase verification pipeline including build, type-check, lint, tests, security scan, and diff review to ensure code quality before creating a PR.

Defines a test strategy for Salesforce Flow, combining declarative Flow Tests, debug runs, path matrices, test data, and boundary tests for Apex, LWC, and external services.

Runs the open-source LLaVA vision-language model for image understanding, captioning, visual question answering, and multi-turn image conversations, including setup, inference, and training guidance.

Runs a structured quality control audit on codebases, covering tests, imports, static analysis, type checking, smoke tests, UI verification, file consistency, and documentation, producing a PASS/WARN/FAIL report.

Runs a structured code review using four parallel subagents covering style, correctness, security, and performance, then synthesizes findings by severity and gives an approve/needs-changes recommendation.

Runs a structured multi-agent deliberation: four specialist agents write independent position papers, two cross-examiners debate them, and the orchestrator synthesizes a final recommendation with implementation plan and risk register.

Runs a plan file through the Codex CLI as an independent adversarial reviewer, then folds accepted findings back into the plan. Read-only sandbox; Codex never edits.

Use when driving a feature prompt to a production-ready PR through discovery, definition, design, spec, issues, and dev phases, or when the user runs /feature or /feature resume — orchestrates the A-Team agentic pipeline over a target repo.

Deep UAT testing for all Perlantir projects. Crawls every page, clicks every button, tests every form, verifies every interaction, takes screenshots for vision analysis, and checks for missing features against project scope. Runs automatically after every deploy.

Trains, evaluates, exports, prunes, quantizes, retrains, and runs inference for TAO OCRNet models for scene text recognition from cropped text-region images, supporting CTC and attention-based decoders.

Runs SEO and content marketing workflows with 10 commands covering keyword research, content audits, technical SEO, competitor analysis, and content planning.

Runs Semgrep static analysis via the semgrep CLI with custom YAML rule packs, supports community rules, parses JSON output, and integrates with the Semgrep App API for findings management.

Maps external dependencies and I/O boundaries, generates chaos tests for failure modes like timeouts and connection errors, runs them, and reports resilience gaps with fixes.

Runs and writes tests for a project, supporting unit, integration, and end-to-end scopes, plus two-pass TDD orchestration with quality-gate checks and regression sweeps.

Runs a structured interview that stress-tests a plan against the project's domain model, sharpens terminology, and updates CONTEXT.md and ADRs inline as decisions are made.

Runs a Node.js CLI that sends a question to three frontier LLMs in parallel, then synthesizes their responses into a single answer via an aggregator model, with paid and free tiers.

Runs a broad SEO audit across technical SEO, on-page SEO, schema, sitemaps, content quality, AI search readiness, and GEO, orchestrating specialized sub-skills and subagents.

Load this skill when the user says "verify-implementation", "verify implementation", or "/verify-implementation". Reviews the implementation against the issue requirements and project coding standards, runs automated checks, and produces a gated report before acceptance criteria are ticked off.

Daily overdue-invoice chaser. Pulls receivables from Xero, escalates reminder tone over time per the brand's finance playbook, drafts/sends Gmail reminders, tracks chase state in Notion, and posts a daily Slack digest. Runs daily on cron schedule.