Loading...
Loading...
Found 1,486 Skills
Plan and orchestrate end-to-end video production pipelines in ComfyUI with validation gates and error recovery. Handles img2vid, txt2vid, vid2vid, and multi-shot video production. Produces pipeline plans with correct step ordering (generate, validate, animate, validate, concat), model selection, retry strategies (seed randomization, parameter adjustment, model fallback), and VRAM-aware resource management. Use when asked to make a video, animate images, create a multi-shot video, set up a video pipeline, or orchestrate video production in ComfyUI. Does NOT cover still image generation, prompt writing, workflow building for non-video tasks, video editing in external tools, model training, installation, or hardware recommendations.
Build typed LLM applications with PydanticAI: schema-constrained outputs, tool integration, validation, retries, and deterministic downstream handoffs. Use when users need reliable structured outputs instead of free-form text generation.
Guides Validation by Educational Experience (VEE) for North American actuarial credential paths (SOA, CAS)—how VEE fits preliminary requirements, current topic areas (Economics, Accounting & Finance, Mathematical Statistics; subject to society updates), approved-course criteria, candidate workflow and documentation, SOA vs CAS submission timing relative to ASA/ACAS progress, international/transfer considerations, and common pitfalls. Use for VEE, validation by educational experience, VEE credit, actuarial VEE requirements, SOA VEE, CAS VEE, VEE economics, VEE statistics, VEE accounting and finance, college credit for actuarial exams, submit VEE transcript—not deep exam study (pre-actuarial-foundations, advanced-short-term-actuarial-mathematics, advanced-long-term-actuarial-mathematics), workpapers (actuarial-analyst), signing (associate-actuary, appointed-chief-actuary), official transcript qualification rulings, or generic degree planning.
External NeMo-RL end-to-end validation workflow for Megatron-Bridge model/provider changes, including downstream compatibility checks, external RL lifecycle behavior, Megatron policy setup, HF import/export, checkpoint/resume, non-colocated vLLM refit, delta weight transfer, optional LoRA/generation variants, and questions such as "does this model work in NeMo-RL", "run NeMo-RL e2e", or "external RL loop validation". Covers running NeMo-RL Megatron policy jobs from a Bridge checkout, choosing GRPO/SFT/checkpoint/non-colocated refit variants, setting PYTHONPATH so NeMo-RL imports the local Bridge tree, and reporting pass/fail evidence.
Diagnose and fix broken Goldsky Compose apps interactively. Triggers on: compose app in error state, crashlooping, not running, not processing tasks, cron not firing, HTTP trigger returning 500, onchain event listener missing events, wallet errors, gas sponsorship failures, 'No bundler provider available', manifest validation errors, bundling/esbuild failures, secret missing, 'You cannot use a smart wallet in local dev', 'Transaction Receipt failed with status'. Also use when the user mentions a Compose app name alongside a problem, even if they don't say 'compose' explicitly, if they're referring to `goldsky compose` commands (not `goldsky turbo` or `goldsky pipeline`). Runs `status`/`logs`/`secret list`/`wallet list` to identify root cause, and offers fixes. For building a new app from scratch, use /compose instead. For manifest field / CLI flag / API lookups without an active problem, use /compose-reference instead. Do NOT trigger on Turbo or Mirror pipeline problems.
Generate beautiful Excalidraw diagrams from natural language. Diagrams that "argue visually" — built-in Playwright visual validation loop, brand-customizable palette, and 3.2k+ GitHub stars. By coleam00.
Plans real-user QA deliverables: personas, journey maps, exploratory charters, persona/journey/tour/CFR test cases, regression suites, Figma validation checks, automation intent, and user-impact bug reports. Writes artifacts under <qa-output-path>/qa/ for qa-execution to consume. Use when planning QA before execution, documenting journey-driven test strategy, marking flows that need E2E follow-up, or filing structured bug reports. Do not use for live execution, AI implementation audits, CI gate ownership, or technical integration/security/performance suites; use qa-execution or agent-output-audit instead.
Migrate users' projects from Wot UI v1 to v2. This skill is invoked when users request to upgrade wot-design-uni to @wot-ui/ui, replace old components/old APIs, migrate form validation systems, and fix compilation errors or runtime errors caused by incompatible changes in v2.
Complete launch readiness validation covering every department: code, content, store, marketing, community, infrastructure, legal, and go/no-go sign-offs.
Adaptive multi-agent framework for automated data science tasks with planning, execution, and validation
cmux testing rules for Swift Testing, test target compilation, and package/refactor validation. Use when adding or changing tests, touching package/refactor code, or deciding whether reload.sh is enough validation.
AI SDLC backend validation workflow. Use when an AI assistant needs to validate Go, SQL, API, provider integration, SDD, or documentation changes in this repository and choose focused deterministic checks without running unrelated expensive tests by default. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution.