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Found 1,161 Skills
Consult this skill for Python testing implementation and patterns. Use when writing unit tests, setting up test suites, implementing TDD, configuring pytest, creating fixtures, async testing, writing integration tests, mocking dependencies, parameterizing tests, setting up CI/CD testing. Do not use when evaluating test quality - use pensive:test-review instead. DO NOT use when: infrastructure test config - use leyline:pytest-config.
Train your own GPT-2 level LLM for under $100 using nanochat, Karpathy's minimal hackable harness covering tokenization, pretraining, finetuning, evaluation, inference, and chat UI.
Generate and critically evaluate grounded improvement ideas for the current project. Use when asking what to improve, requesting idea generation, exploring surprising improvements, or wanting the AI to proactively suggest strong project directions before brainstorming one in depth. Triggers on phrases like 'what should I improve', 'give me ideas', 'ideate on this project', 'surprise me with improvements', 'what would you change', or any request for AI-generated project improvement suggestions rather than refining the user's own idea.
Conduct a comprehensive SWOT analysis to audit organizational position. Use when assessing strategic fit, evaluating competitive position, or informing strategic direction.
Use this skill when performing keyword research, search intent analysis, keyword clustering, SERP analysis, competitor keyword gaps, long-tail keyword discovery, or evaluating keywords for snippet opportunity, AI Overview presence, and tri-surface keyword reports. Covers organic (SEO), answer engine (AEO snippets/PAA), and AI citation (GEO AI Overviews/ChatGPT Search/Perplexity) surfaces.
Invoke MassGen's multi-agent system for general-purpose tasks, evaluation, planning, or spec writing. Use whenever you want multiple AI agents to tackle a problem, need outside perspective on your work, a thoroughly refined plan, or a well-specified set of requirements. Perfect for: writing, code generation, research, design, analysis, pre-PR review, complex project planning, feature specification, architecture decisions, or any task where multi-agent iteration produces better results than working alone.
Decision-first data analysis with statistical rigor gates. Use when analyzing CSV, JSON, database exports, API responses, logs, or any structured data to support a business decision. Handles: trend analysis, cohort comparison, A/B test evaluation, distribution profiling, anomaly detection. Do NOT use for codebase analysis (use codebase-analyzer), codebase exploration (use explore-pipeline), or ML model training.
Weighted decision scoring framework for architectural and technology choices. Frames decisions with 2-4 options, scores against weighted criteria, detects close calls, and records decisions in the active ADR or task plan. Use when: "should I use X or Y", "which approach", "compare options", "trade-offs between", "help me decide", "evaluate alternatives"
A/B test evaluation, cohort retention analysis, funnel metrics, and experiment-driven product decisions. Use when analyzing experiments, measuring feature adoption, diagnosing conversion drop-offs, or evaluating statistical significance of product changes.
Generates the Somnio HandShake Step 3 - Acknowledgement PDF document from raw evaluation notes. Use this skill whenever an Engineering Manager (EM) wants to create, generate, or produce one or more HandShake Acknowledgement documents, career review PDFs, seniority evaluation documents, or anything related to the Somnio bi-annual performance review process. Trigger even if the user says things like: generar el documento del handshake, armar el PDF de la evaluacion, crear el acknowledgement para un dev, generar el informe del career path, procesar estas fichas, or similar. The skill handles both single and batch (multiple devs) generation: it reads all attached ficha files, pre-fills what it can infer, confirms all data with the EM in a single table, then generates one PDF per dev.
Implement Syncfusion WPF SplitButton (SplitButtonAdv) with dropdown menus, command binding, and data binding. This skill applies whenever a user mentions WPF splitbutton, dropdown buttons with menus, the SplitButtonAdv control, implementing splitbutton patterns, button–menu combinations, or scenarios that require a button with both a default action and a dropdown menu. It is also relevant for WPF command-enabled splitbutton, MVVM-based splitbutton implementations, data‑bound dropdown menus, or any situation involving buttons that offer selectable dropdown items.
Make sure to use this skill whenever the user mentions anything related to Danish property data, housing prices, real estate statistics, sold homes, property history, BBR data, or the Danish housing market — even if they don't mention boliga.dk explicitly. Also invoke this skill for questions about specific Danish addresses, zip codes, or municipalities in a housing context. Trigger phrases include: danish property, danish real estate, danish housing market, boliga, bolig til salg, solgte boliger, boligpriser, ejendomspriser, ejendom, ejerlejlighed, villa, rækkehus, sommerhus, fritidshus, andelsbolig, helårsgrund, landejendom, BBR data, bygningsregistret, property for sale denmark, sold homes denmark, house prices denmark, apartment prices copenhagen, aarhus housing, odense real estate, housing statistics denmark, quarterly price index denmark, most viewed properties denmark, property valuation denmark, ejendomsvurdering, salgspris, kvadratmeterpris, days on market, dage til salg, boligsøgning, address lookup denmark, property history denmark.