ML Ops
Machine learning operations
excel-dcf-modeler
by Jst-Well-Dan
Build discounted cash flow (DCF) valuation models in Excel. Use when creating DCF models, calculating enterprise value, or valuing companies. Trigger with phrases like 'excel dcf', 'build dcf model', 'calculate enterprise value'.
pict-test-designer
by Jst-Well-Dan
Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for any piece of requirements or code. Analyzes inputs, generates PICT models with parameters, values, and constraints for valid scenarios using pairwise testing. Outputs the PICT model, markdown table of test cases, and expected results.
depresearch
by Quintui
CLI tool for AI-powered research of open-source repositories. Use when you need to understand how a feature works in an external codebase without cloning it yourself.
dlt-dagster
by untitled-data-company
Runs dlt pipelines in Dagster as software-defined assets (Component or Pythonic @dlt_assets) or as a single standard Dagster asset. Use when orchestrating dlt with Dagster; scaffolding loads.py/defs.yaml; jobs/schedules; secrets/env; incremental/backfill via apply_hints; parallelization (one asset per resource); Dagster Cloud deployment; or external compute (ECS, Fargate — refer to dagster-integrations). Triggers: dagster-dlt, dlt on Dagster, deploy dlt with Dagster, standard Dagster asset, external compute.
dlt-skill
by untitled-data-company
Creates and maintains dlt (data load tool) pipelines from APIs, databases, and other sources. Use when the user wants to build or debug pipelines; use verified sources (e.g. Salesforce, GitHub, Stripe) or declarative REST API or custom Python; configure destinations (e.g. DuckDB, BigQuery, Snowflake); implement incremental loading; or edit .dlt config and secrets. Use when the user mentions data ingestion, dlt pipeline, dlt init, rest_api_source, incremental load, or pipeline dashboard.
notebook-ai-agents-skill
by fmschulz
Create/refactor reproducible analysis notebooks with Marimo (preferred) or Jupyter (minimal support). Use for interactive, narrative-first analyses.
ai-evaluation-evals
by oldwinter
Create AI evaluation plans with benchmarks, rubrics, and error analysis workflows.
fundraising-strategy
by oldwinter
Plan early-stage fundraising strategy, investor pipeline, and process execution.
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.
outlines
by L-yifan
Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library
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."
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.
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."
sentence-transformers
by L-yifan
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.
ai-evaluation-evals
by oldwinter
Create AI evaluation plans with benchmarks, rubrics, and error analysis workflows.
aio-mental-models
by aiocean
This skill should be used when the user faces complex decisions, problem-solving, debugging, system design, strategic thinking, or needs structured reasoning. Comprehensive mental models framework with 50+ models covering first principles, second-order thinking, inversion, feedback loops, and more.
growth-modeling
by SkeneTechnologies
When the user wants to build quantitative growth models -- including loop-based models, sensitivity analysis, revenue forecasting, or unit economics. Also use when the user says "growth forecast," "revenue model," "CAC LTV," "growth projections," or "financial model." For growth loops, see growth-loops. For PLG metrics, see plg-metrics.
ClawdStrike
by cantinaxyz
"Security audit and threat model for OpenClaw gateway hosts. Use to verify OpenClaw configuration, exposure, skills/plugins, filesystem hygiene, and to produce an OK/VULNERABLE report with evidence and fixes."
plg-strategy
by SkeneTechnologies
When the user wants to assess PLG readiness, design a product-led growth strategy, choose between freemium and free trial, evaluate PLG maturity, or plan a hybrid PLG + sales model. Also use when the user says "should we do PLG," "PLG vs sales-led," "growth motions," "PLG audit," or "go-to-market strategy." For specific mental models, see plg-mental-models. For growth loop design, see growth-loops.
gcse-pe-tutor
by markpitt
GCSE Physical Education tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding PE topics, answering exam questions, revising anatomy and physiology, practising fitness tests, applying sports psychology, or wants guidance on exam technique for GCSE Physical Education.
litellm
by BbgnsurfTech
When calling LLM APIs from Python code. When connecting to llamafile or local LLM servers. When switching between OpenAI/Anthropic/local providers. When implementing retry/fallback logic for LLM calls. When code imports litellm or uses completion() patterns.
plg-mental-models
by SkeneTechnologies
When the user needs mental models or frameworks for PLG decisions -- including product-channel fit, time-to-value, network effects, habit loops, or pricing psychology. Also use when the user asks "what framework should I use," "how should I think about this," or references a specific model like "adjacent user theory" or "bowling alley framework." For comprehensive PLG strategy, see plg-strategy. For growth loops, see growth-loops.
usage-based-pricing
by SkeneTechnologies
When the user wants to design or implement usage-based, consumption, or metered pricing -- including credit systems, overage handling, or billing infrastructure. Also use when the user says "pay per use," "metered billing," "credit system," "usage pricing," or "consumption pricing." For broader pricing strategy, see pricing-strategy. For expansion, see expansion-revenue.