ML Ops
Machine learning operations
product-led-sales
by SkeneTechnologies
When the user wants to layer sales onto a PLG motion, build PQL scoring, design sales handoffs from product usage signals, or plan a hybrid PLG + sales model. Also use when the user says "product-led sales," "PQL," "PQA," "when to add sales to PLG," or "enterprise PLG." For broader PLG strategy, see plg-strategy. For expansion revenue, see expansion-revenue.
code-to-music
by Cam10001110101
Tools, patterns, and utilities for creating music with code. Output as a .mp3 file with realistic instrument sounds. Write custom compositions to bring creativity to life through music. This skill should be used whenever the user asks for music to be created. Never use this skill for replicating songs, beats, riffs, or other sensitive works. The skill is not suitable for vocal/lyrical music, audio mixing/mastering (reverb, EQ, compression), real-time MIDI playback, or professional studio recording quality.
design-system-foundations
by KentoShimizu
"Define scalable design-system foundations with clear ownership and adoption boundaries. Use when multiple teams need shared component standards, foundational patterns, and ownership rules to deliver consistent UI across products; do not use for backend data-model or deployment pipeline decisions."
copilot-invoke-once
by igamenovoer
Programmatically invoke GitHub Copilot CLI via the copilot command (headless -p, --silent, --stream on off, --resume/--continue) to automate tasks like producing code review notes for specific files/dirs, investigating an issue, or drafting an implementation plan. Use when you need scriptable, non-interactive Copilot runs with optional streaming progress and session continuation.
agentform
by AvivK5498
Create and debug Agentform AI agent configurations (.af files). Use when: (1) Creating new agentform projects or workflows (2) Debugging agentform syntax errors (3) Adding MCP server integrations (4) Configuring agents, models, policies, or capabilities (5) Writing workflow steps with routing and human approval Agentform is "Infrastructure as Code for AI agents" - declarative .af files define agents, workflows, and policies.
llm-interview-coach
by llx9826
Prepare for large language model, generative AI, and LLM algorithm interviews. Use when the user wants mock interviews, study plans, question drills, answer review, or targeted prep for 大模型算法岗, LLM engineer, GenAI engineer, 算法工程师, RAG, agent, fine-tuning, inference optimization, evaluation, or model training interviews. Triggers include: "大模型面试", "算法面试", "LLM interview", "mock interview", "帮我准备大模型算法岗", "面试官会怎么问", "RAG面试", "微调面试", "推理优化面试".
architecture-tradeoff-analysis
by KentoShimizu
"Architecture trade-off analysis workflow for comparing options with explicit criteria, weighting, and sensitivity under uncertainty. Use when multiple viable architecture choices exist and rationale must be defensible; do not use after architecture direction is already fixed."
explore-dnn-model
by igamenovoer
Manual invocation only; use only when the user explicitly requests explore-dnn-model by name. Explore how to run a given DNN model checkpoint in the current Python environment by locating weights + upstream source code, resolving dependencies with user confirmation, running reproducible experiments under tmp/, and producing reports about I/O contracts, timing, and profiling.
architecture-ddd
by KentoShimizu
"Domain-driven design workflow for bounded context partitioning, aggregate design, and context mapping in complex domains. Use when domain complexity or organizational scaling requires explicit model boundaries; do not use for small CRUD domains without competing language models."
data-structures
by KentoShimizu
"Select data structures using explicit access patterns, mutation behavior, memory limits, and concurrency constraints. Use when implementation correctness or performance depends on choosing between alternatives (array/map/heap/tree/queue/set) under real workload assumptions; do not use for persistence schema or deployment topology decisions."
db-conceptual-modeling
by KentoShimizu
"Conceptual data modeling workflow for domain entities, relationships, and lifecycle boundaries. Use when teams must align on domain meaning before logical/physical schema decisions; do not use for index-only or migration-only tasks."
the-vm-standard
by front-depiction
The VM Standard - inviolable covenants governing View Model architecture in this codebase. These covenants SHALL NOT be violated under any circumstance.
prompt-engineer
by repo-phuocdt
Transform rough prompts/ideas into production-ready LLM prompts. Use when crafting, refining, or optimizing prompts for any AI model (Claude, GPT, Llama, etc.) with advanced techniques like CoT, constitutional AI, RAG optimization.
effect-ai-provider
by front-depiction
Configure and compose AI provider layers using @effect/ai packages. Covers Anthropic, OpenAI, OpenRouter, Google, and Amazon Bedrock providers with config management, model abstraction, and runtime overrides for language model integration.
critical-business-brief
by Przemocny
Create critical business briefs through challenging dialogue that validates ideas and stress-tests assumptions. Use when user presents business ideas, wants to explore concepts, mentions starting a business, or needs business validation. Conducts realistic, skeptical conversations to expose weaknesses and creates structured business briefs in .ideas/ folder. Triggers include "I have a business idea", "business opportunity", "startup idea", or "validate this concept".
affiliate-onboarding
by dmend3z
This skill guides users in setting up a robust affiliate onboarding system. It covers welcome sequences, swipe file creation, training curriculum, compliance guidelines, resource library setup, first promotion guidance, and communication templates to transform new affiliates into high-performing partners.
summarise-paper
by phira-ai
Use when tasks involve reading and summarising an academic paper from either a PDF file or an arXiv URL. If the input is a PDF, convert it to images for accurate reading (equations/figures). If the input is an arXiv URL, download the LaTeX source to read. Output the summary as a standalone LaTeX file.
affiliate-motivation-and-training
by dmend3z
This skill equips the agent to motivate and train affiliate partners effectively. It should be used for tasks like creating weekly updates, sharing success stories, developing training modules, writing personal outreach scripts, planning reactivation campaigns, and designing performance coaching and incentive programs.
MLIP Simulation Skill
by fl-sean03
Phonopy: https://phonopy.github.io/phonopy/
scikit-survival
by kjgarza
Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.
ai-model-cascade
by vishalsachdev
A production-ready pattern for integrating AI models (specifically Google Gemini) with automatic fallback, retry logic, structured output via Zod schemas, and comprehensive error handling. Use when integrating AI/LLM APIs, need automatic fallback when models are overloaded, want type-safe structured responses, or building features requiring reliable AI generation.
torch-sim Skill
by fl-sean03
data-analysis skill - Analyzing torch-sim outputs
product-frameworks-for-design-and-management
by kjgarza
Comprehensive product design and management frameworks including UX heuristics (Hick's Law, Fitts's Law), design processes (Double Diamond, Lean UX, Agile, User-Centered Design), prioritization methods (RICE, MoSCoW, Kano Model, Pareto Principle), product lifecycle guidance, PRD templates, user story formats, design critique guidelines, and usability testing checklists. Use when analyzing features, creating product documentation, facilitating design reviews, planning user research, applying UX principles to interfaces, or making product decisions that require framework-based guidance.
redux-saga
by anivar
Redux-Saga best practices, patterns, and API guidance for building, testing, and debugging generator-based side-effect middleware in Redux applications. Covers effect creators, fork model, channels, testing with redux-saga-test-plan, concurrency, cancellation, and modern Redux Toolkit integration. Baseline: redux-saga 1.4.2. Triggers on: saga files, redux-saga imports, generator-based middleware, mentions of "saga", "takeEvery", "takeLatest", "fork model", or "channels".