ML Ops
Machine learning operations
product-operating-model
by yannickYamo
Index of the Modern Product Operating Model — a collection of composable product skills. Use when user wants an overview of all product skills, doesn't know which specific skill they need, or wants to understand how the product systems connect.
forge
by jwiegley
Multi-phase, multi-model deep analysis workflow for complex problems. This skill should be used when the user wants rigorous, multi-model collaborative analysis: deep research with Opus and PAL MCP consensus (GPT-5.2-Pro + Gemini 3 Pro), strategic planning, Sonnet execution with tests, comprehensive review, and adversarial devil's advocate critique. Invoke explicitly with /forge.
llm-fine-tuning-guide
by qodex-ai
Master fine-tuning of large language models for specific domains and tasks. Covers data preparation, training techniques, optimization strategies, and evaluation methods. Use when adapting models for specialized applications, reducing inference costs, or improving domain-specific performance.
ai-evaluation-evals
by oldwinter
Create AI evaluation plans with benchmarks, rubrics, and error analysis workflows.
tinker-training-cost
by M4n5ter
Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the correct model tokenizer and provides accurate cost estimates.
fundraising-strategy
by oldwinter
Plan early-stage fundraising strategy, investor pipeline, and process execution.
ipynb-notebooks
by M4n5ter
面向 .ipynb Notebook（Jupyter / JupyterLab / Google Colab / VS Code）的创建、审阅、重构与展示。涵盖工程化目录结构、token 高效处理、演示/分享模式、以及 uv/venv 可复现工作流。
tinker
by M4n5ter
Comprehensive guide for Tinker Cookbook supervised fine-tuning covering all patterns including high-level Cookbook abstractions, low-level API usage, streaming datasets, file-based data, Blueprint configuration, and vision-language models.
ai-sdk-core
by BjornMelin
Expert guidance for AI SDK Core: text generation, structured data, tool calling (tool/dynamicTool), MCP integration (createMCPClient, Experimental_StdioMCPTransport), embeddings/reranking, provider setup, middleware, telemetry, and error handling. Use when building with generateText/streamText, generateObject/streamObject, tools (needsApproval, strict, inputExamples, activeTools, toolChoice, experimental_context), embeddings (embed/embedMany/rerank), or MCP tools/resources/prompts/elicitation.
checkpoint
by OmniNode-ai
Pipeline checkpoint management for resume, replay, and phase validation
ai-sdk-agents
by BjornMelin
Expert guidance for building AI agents with ToolLoopAgent (AI SDK v6+). Use when creating agents, configuring stopWhen/prepareStep, callOptionsSchema/prepareCall, dynamic tool selection, tool loops, or agent workflows (sequential, routing, evaluator-optimizer, orchestrator-worker). Triggers: ToolLoopAgent, agent loop, stopWhen, stepCountIs, prepareStep, callOptionsSchema, prepareCall, hasToolCall, InferAgentUIMessage, agent workflows.
deslop
by agentika-labs
Remove AI-generated slop from the current branch. Use when the user says "deslop", "remove slop", "clean up AI code", or "remove AI patterns".
fundraising
by oldwinter
"Plan and run an early-stage fundraising process and produce a Fundraising Pack (raise decision memo, round design brief, pitch narrative + deck outline, investor pipeline + tracker, outreach/follow-up scripts, diligence checklist). Use for fundraising, raising capital, venture capital, pitch deck, investor outreach, pre-seed, seed. Category: Career."
Video Editing
by Surojit16
Output: always tell the user the output file path and duration
training-data-curation
by M4n5ter
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
notebook-ml-architect
by BjornMelin
Expert guidance for auditing, refactoring, and designing machine learning Jupyter notebooks with production-quality patterns. Use when: (1) Analyzing notebook structure and identifying anti-patterns, (2) Detecting data leakage and reproducibility issues, (3) Refactoring messy notebooks into modular pipelines, (4) Generating templates for ML workflows (EDA, classification, experiments), (5) Adding reproducibility instrumentation (seeding, logging, env capture), (6) Converting notebooks to Python scripts, (7) Generating experiment summary reports. Triggers on: ML notebook, Jupyter audit, notebook refactor, data leakage, experiment template, ipynb best practices, notebook to script, reproducibility.
fundraising
by oldwinter
"Plan and run an early-stage fundraising process and produce a Fundraising Pack (raise decision memo, round design brief, pitch narrative + deck outline, investor pipeline + tracker, outreach/follow-up scripts, diligence checklist). Use for fundraising, raising capital, venture capital, pitch deck, investor outreach, pre-seed, seed. Category: Career."
executing-plans
by OmniNode-ai
Use when partner provides a complete implementation plan to execute — reviews the plan critically, verifies live PR state against plan assumptions, creates Linear tickets via plan-to-tickets, then routes to epic-team (≥3 tickets) or ticket-pipeline (1-2 tickets)
ai-evaluation-evals
by oldwinter
Create AI evaluation plans with benchmarks, rubrics, and error analysis workflows.
pricing-strategy
by JK-0001
Price a product or service for a solopreneur business. Use when deciding how much to charge, choosing between pricing models, structuring tiers, handling price objections, and adjusting prices over time. Covers value-based pricing, competitor benchmarking, psychological pricing tactics, pricing tiers design, and price testing. Trigger on "how should I price this", "pricing strategy", "what should I charge", "pricing tiers", "am I undercharging", "pricing model", "how to price my product", "raise my prices".
revenue-model-design
by JK-0001
Design a revenue model for a solopreneur business â how money flows in, from whom, and on what cadence. Use when deciding how to monetize a product or service, choosing between revenue streams, structuring recurring vs one-time income, or diversifying revenue. Covers all major revenue model types, selection criteria, revenue stream stacking, and the relationship between revenue model and product design. Trigger on "how will I make money", "revenue model", "monetization strategy", "revenue streams", "recurring revenue", "how to monetize", "business revenue model", "diversify income".
gemini-sdk-expert
by YuniorGlez
"Senior Architect for @google/genai v1.35.0+. Specialist in Structured Intelligence, Context Caching, and Agentic Orchestration in 2026."
llm-integration
by martinholovsky
"Expert skill for integrating local Large Language Models using llama.cpp and Ollama. Covers secure model loading, inference optimization, prompt handling, and protection against LLM-specific vulnerabilities including prompt injection, model theft, and denial of service attacks."
business-plan
by JK-0001
Write, structure, and update a business plan for a solopreneur. Use when creating a plan from scratch, updating an existing plan after a pivot or new phase, or preparing a plan to share with investors, partners, or even just to clarify your own strategy. Covers executive summary, market analysis, competitive positioning, revenue model, operations plan, financial projections, and risk assessment — all adapted for a one-person business. Trigger on "write a business plan", "business plan", "create my plan", "business plan template", "update my business plan", "plan for my business", "investor pitch plan".