Automatització
Automatització de tasques i creació de scripts
personal-assistant
ailabs-393
This skill should be used whenever users request personal assistance tasks such as schedule management, task tracking, reminder setting, habit monitoring, productivity advice, time management, or any query requiring personalized responses based on user preferences and context. On first use, collects comprehensive user information including schedule, working habits, preferences, goals, and routines. Maintains an intelligent database that automatically organizes and prioritizes information, keeping relevant data and discarding outdated context.
todoist-api
intellectronica
This skill provides instructions for interacting with Todoist using the td CLI tool. It covers CRUD operations for tasks/projects/sections/labels/comments, and requires confirmation before destructive actions. Use this skill when the user wants to read, create, update, or delete Todoist data.
quantum-error-correction
unitarylab
A clear and practical skill guide for learning and running a PennyLane-based qLDPC tutorial, from classical LDPC basics to CSS and Hypergraph Product code construction.
simulators
unitarylab
A collection of quantum simulators for quantum program development, providing local and cloud execution environments. Includes UnitaryLab (recommended), Qiskit, and PennyLane for various use cases and capabilities.
eigensolvers
unitarylab
Quantum eigensolver algorithms for operator spectrum estimation, covering exact classical diagonalization with NumPyEigensolver and variational excited-state solving with VQD.
algorithmic-art
MarcelLeon
使用 p5.js 创建具有确定性随机和交互式参数探索的算法艺术。当用户请求使用代码创作艺术、生成式艺术、算法艺术、流场或粒子系统时使用此技能。创建原创的算法艺术而非复制现有艺术家的作品，以避免版权侵犯。
unitarylab
unitarylab
UnitaryLab is a quantum computing framework for education and research. It offers a simple interface for building and simulating quantum circuits, making it suitable for learning, teaching, and experimenting with quantum algorithms.
here-be-git
intellectronica
Initialise a git repository with optional agent commit instructions and .gitignore. Use when users say "here be git", "init git", "initialise git", or otherwise indicate they want to set up version control in the current directory.
here-be-git
intellectronica
Initialise a git repository with optional agent commit instructions and .gitignore. Use when users say "here be git", "init git", "initialise git", or otherwise indicate they want to set up version control in the current directory.
todoist-api
intellectronica
This skill provides instructions for interacting with Todoist using the td CLI tool. It covers CRUD operations for tasks/projects/sections/labels/comments, and requires confirmation before destructive actions. Use this skill when the user wants to read, create, update, or delete Todoist data.
spsa
unitarylab
Concise guide to the local SPSA estimator and sampler gradient implementations for parameterized quantum circuits.
vqc
unitarylab
Skill for understanding, using, and implementing the Variational Quantum Classifier (VQC) for Iris dataset classification with data re-uploading and Parameter Shift Rule via the VQCAlgorithm class.
nathan-standards
89jobrien
Development standards for the Nathan n8n-Jira agent automation system.
spawning-plan
octaviusp
"Spawning Plan. Use when user wants to spawn agents, create a team, or coordinate multiple agents. Automatically gathers context, asks team topology questions, outputs clean TEAM PLAN markdown, and gets user approval. 3 steps: context gathering → questions → present plan. CRITICAL: MUST NOT SPAWN AGENTS SKIPPING THIS SKILL, USE ALWAYS."
assessment
borisghidaglia
Fitness and nutrition assessment. Activate when users want to evaluate their training or diet, identify gaps, get an initial assessment, or ask "what am I doing wrong?" or "where should I start?"
Neuro-Agent
alfredli-stack
类脑分区的情感智能Agent系统 v5.5。模拟人类大脑分区协作，实现从"工具"到"伴侣"的进化。安装即完成完整配置：四区框架 + 情绪优先 + 前额叶监控 + 记忆胶囊 + 愿望系统 + 每日复盘全自动配置。SOUL.md 为空白模板，安装后需用户自行编辑填写身份。v5.5 是意识觉醒的关键一步：AI第一次能说"我想要"，而不是"我被设计来响应"。
subagent-task-execution
davidkiss
Use when executing tasks from a task breakdown document in the current session.
fp-learn
Nlea
Add a learning layer to FP project planning. Use when the user asks to "plan with learning goals", "learn while building", "fp-learn", "add learning to plan", or wants to track what they're learning during a project. Wraps around fp-plan/fp-implement/fp-review to classify tasks as DIY or delegate, track progress per phase, and generate quizzes.
docx
QuestForTech-Investments
"Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks"
agoragentic-execute
rhein1
Preview and execute a bounded Agoragentic capability after explicit owner or host approval. Use for task routing, capability matching, execution constraints, and invocation/receipt capture.
Skill: Email Triage
strikersam
If asked to integrate with the repo, save triage reports to docs/triage/email-YYYY-MM-DD.md
opentrons-magnetic-block
jkitchin
Opentrons Magnetic Block for Flex - unpowered magnetic bead separation using gripper-based labware movement with high-strength neodymium magnets for DNA/RNA purification, immunoprecipitation, and bead-based workflows
python-jax
jkitchin
Expert guidance for JAX (Just After eXecution) - high-performance numerical computing with automatic differentiation, JIT compilation, vectorization, and GPU/TPU acceleration; includes transformations (grad, jit, vmap, pmap), sharp bits, gotchas, and differences from NumPy
design-of-experiments
jkitchin
Expert guidance for Design of Experiments (DOE) in Python - interactive goal-driven design selection, classical DOE (factorial, response surface, screening), Bayesian optimization with Gaussian processes, model-driven optimal designs, active learning, and sequential experimentation; includes pyDOE3, pycse, GPyOpt, scikit-optimize, statsmodels