Results for “recommender”

Use the model-recommender skill, Workflow B (Task Router), to route the following task to the optimal model + version + effort: $ARGUMENTS.

Recommends the best skill, agent, or command for a given task by classifying intent and scanning available tools.

Recommend the right AI model for a task by scoring candidates across six dimensions (Reasoning, Engineering, Speed, Breadth, Reliability, Governance) and displaying a spider-chart profile.

Referral and partnership marketing strategist. Use when the user requests 'referral program', 'affiliate', 'partner program', 'refer-a-friend', 'word-of-mouth', or 'commission structure'.

Surface the most valuable next action by combining task stack, queue state, inbox pressure, health, and goals. Recommends one specific action with rationale. Triggers on "/next", "what should I do", "what's next".

Accept the recommendation from the most recent A/B/C option set and execute it without re-asking. Use when the user says "按你推荐的来" / "go with your pick" — they glanced at the options, the recommendation looked right, they don't want to re-read all of them.

Generate conventional commit message suggestions for staged git changes, aligned with the repository's commit style. Use when the user wants a commit message suggestion, asks what to commit, or says "suggest commit".

Choose a prioritization framework based on product stage, team context, and stakeholder needs.

Guide to Sonner, the React toast library — install and wire up the Toaster, pick the right toast() call, promise and loading toasts, updating, dismissing and persisting toasts, styling, theming and icons, positioning and multiple toasters. Use when working with Sonner or troubleshooting it — toasts that don't appear, appear twice, lose their styles, ignore Tailwind classes, sit behind a modal, or don't follow dark mode. Companion to `taste-skill`'s library table, which recommends Sonner for toasts. Source: github.com/emilkowalski/skills.

Get research-backed architecture advice for your knowledge system. Describe your use case, constraints, and goals — get specific recommendations grounded in TFT research with rationale for each decision. Triggers on "/recommend", "what would you recommend", "architecture advice", "knowledge system for".

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates with evals.

Indexes Megatron Bridge recipes and recommends the best starting config based on model, GPU count, and training goal.

Fetches IAM recommendations and security insights from Google Cloud for a specified organization, folder, or project, using MCP tools, gcloud CLI, or direct API calls.

Plan, debug, tune, evaluate, export, or deploy public Nemotron embedding and reranking retrieval recipes using the current checkout.

基于 anchor 论文、topic 关键词或当前 wiki 状态，产出一份排好序的候选论文 shortlist，供用户或上游 skill 决定是否进一步 `/ingest`。当用户问 "接下来该读什么"、"找和这篇相似的论文"、"推荐相关工作"、"这个方向周围有什么" 时触发；`/ingest --discover` 也会内部调用本 skill。本身不 ingest，只提出候选。

Generate one best-next-step proposal after a successful task run, either the next phase in a series or a high-value improvement.

Finds freelance gigs matching your services, scores them by fit, and generates personalized proposals for the best matches.

Runs a relentless interview that sharpens a plan or design. Use when the user wants to be grilled on an idea, pressure-test a plan, or refine a design through questioning.

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

Guides the agent to act as a product manager, collecting context, proposing three requirement plans (bug fix, new feature, iteration), scoring them by ROI, and recommending one with an MVP slice and timeline.

Simulates a complete international journal peer review process with 5 dynamically configured reviewers, producing structured editorial decisions and revision roadmaps.

Analyze and reorganize your X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in your real voice.

Create home buyer guides with process steps. TRIGGERS - Use when user needs help with buyer-guide related tasks.

Generates personalized proposals for freelance gigs on Upwork, Freelancer, PeoplePerHour, and Guru. References specific project requirements and includes relevant case studies.

Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.

Intent-based router and play composer for youtube-ops skills — classifies what the user needs and recommends a single skill or queues a multi-step play for $exec

Simulates a board of legendary marketing advisors to provide multiple expert perspectives on marketing questions, highlighting disagreements and synthesizing recommendations.

Ask Gemini via local CLI and capture a reusable artifact

Creates a presenter-mode deck with speaker notes, theme switching, and a popup teleprompter.

Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.

Process-first advisor routing for Claude, Codex, Gemini, Antigravity, Grok, or Cursor via `omc ask`, with artifact capture and no raw CLI assembly

Push the LLM to reconsider, refine, and improve its recent output. Use when user asks for deeper critique or mentions a known deeper critique method, e.g. socratic, first principles, pre-mortem, red team.

When the user wants multiple expert perspectives on a marketing question — a simulated board of advisors staffed by legendary marketers (Seth Godin, David Ogilvy, Eugene Schwartz, April Dunford, Rory Sutherland, Alex Hormozi, Byron Sharp, and more). Also use when the user mentions 'marketing council,' 'board of advisors,' 'advisory board,' 'what would Seth Godin say,' 'what would Ogilvy think,' 'channel Hormozi,' 'get multiple perspectives,' 'debate this,' 'have the council review,' 'marketing mentors,' or asks how a famous marketer would approach their problem. The council gives each advisor's take through their documented frameworks, surfaces where they disagree, and synthesizes a recommendation. For executing the winning direction, hand off to positioning, offers, copywriting, ads, or the relevant skill.