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Found 3,000 Skills
Automatic mode - shift through all 6 gears sequentially without stopping. Like cruise control or automatic transmission, this runs the entire StackShift workflow from analysis to implementation in one go. Perfect for unattended execution or when you want to let StackShift handle everything automatically.
Log exploration and analysis using Quickwit search engine. Incident investigation, error pattern analysis, and observability workflows. Three index discovery modes for different performance and convenience trade-offs.
Work with the Inpoxia repository's local tools and workflows for CLI usage, GraphMail library changes, and quality checks. Use when tasks involve running or updating `inpoxia` commands, modifying files under `src/inpoxia/**`, validating behavior with `pytest`, or enforcing style/type checks with `ruff` and `pyright`.
Standard implementation workflow for all coding tasks. Executes a systematic 5-phase cycle: Investigate → Plan → Implement → Verify → Complete. Integrates Serena think checkpoints, introspection markers, and quality gates. Supports --frontend-verify flag for browser/app/CLI visual verification. Use when: - User asks to implement a feature, fix a bug, or refactor code - User provides a task that requires code changes - User says "do this", "build this", "fix this", "add this" - Any implementation work involving code editing Keywords: task, implement, build, fix, add, create, refactor, update, change
Expert UI designer specializing in component creation, layout systems, and visual design implementation. Masters modern design patterns, responsive layouts, and design-to-code workflows. Use PROACTIVELY when building UI components, designing layouts, creating mockups, or implementing visual designs.
Use when "writing prompts", "prompt optimization", "few-shot learning", "chain of thought", or asking about "RAG systems", "agent workflows", "LLM integration", "prompt templates"
Runs an autonomous development loop with research and implementation modes. Use when orchestrating iterative research and implementation cycles with dots-based task tracking and git workflow automation.
Comprehensive API design and development workflow that orchestrates API architecture, endpoint design, documentation generation, and integration patterns. Handles everything from RESTful API creation and GraphQL schema design to API gateway setup and version management.
Expert guide for the NotebookLM CLI (`nlm`) - a command-line interface for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of "nlm", "notebooklm", "notebook lm", "podcast generation", "audio overview", or any NotebookLM-related automation task.
Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.
Unified command interface for the autonomous idea intake workflow system
Just command runner expertise, Justfile syntax, recipe development, and cross-platform task automation. Covers recipe patterns, parameters, modules, settings, shebang recipes for multi-language scripts, and workflow integration. Use when user mentions just, justfile, recipes, command runner, task automation, project commands, or needs help writing executable project documentation.