sympy
Use this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.
system-health-check
Verifies repository baseline test passing state and available memory/GPU resources to ensure safe mission execution.
tall-stack-general
General guidelines for TALL stack development, emphasizing Laravel and PHP best practices.
task-delegation
Agent task delegation patterns — spawn protocols, handoff metadata, drain gate, parallel limits, and model selection for multi-agent orchestration
task-management-protocol
Protocol for task synchronization, context handoff, and cross-session coordination using Claude Code task tools. Ensures agents properly update tasks with findings and enables seamless work continuation.
tauri-native-api-integration
Rules for integrating Tauri's native APIs in the frontend application.
tauri-security-rules
Security-related rules for Tauri application development.
tauri-svelte-typescript-general
General rules for developing desktop applications using Tauri with Svelte and TypeScript for the frontend.
tauri-svelte-ui-components
Rules specific to Svelte UI component development in Tauri applications.
tdd
Canon TDD for humans and AI agents. Use for production code changes by writing tests first, proving RED, implementing minimal GREEN, and refactoring safely. 2026 edition adds TDP, flakiness gate, ralph-loop integration, memory-search in Step 0, PBT as Step 5.5, mutation testing gate in Step 4, and CJS LSP warning.
team-orchestration
6-phase multi-agent pipeline with approval gates. Orchestrates Plan→Design→Implement→Review→Test→Deploy phases with explicit entry/exit criteria, phase-level agent assignment, and human-in-the-loop approval checkpoints.
telegram-polling
Poll Telegram Bot API for new messages and route commands to agents. Implements 10-command bot with fail-closed allowlist, owner-only tier, two-step approve, audit logging, and replay-prevention offset tracking.
telegram-voice-pipeline
End-to-end voice message pipeline for Telegram — download OGG attachment, transcribe with Whisper, generate a text response, convert to MP3 via ElevenLabs TTS, and reply with the audio file.
template-creator
Creates and registers templates for agents, skills, workflows, hooks, and code patterns. Handles post-creation catalog updates, consuming skill integration, and README registration. Use when creating new template types or standardizing patterns.
template-renderer
Render templates by replacing {{TOKEN}} placeholders with actual values, supporting all three templates (specification, plan, tasks) with schema validation and security sanitization
terraform-infra
Terraform infrastructure operations with safety controls
test-generator
Generates test code from specifications, components, and API endpoints. Creates unit tests, integration tests, and E2E tests following project testing patterns and conventions.
text-to-sql
Convert natural language queries to SQL. Use for database queries, data analysis, and reporting.
thinking-tools
Structured thinking patterns for agent self-reflection. Includes think-about-collected-information (validate research), think-about-task-adherence (stay on track), and think-about-whether-you-are-done (completion validation).
tool-creator
Creates tool files for the Claude Code framework. Tools are executable utilities organized by category in .claude/tools/.
tool-search
Semantic tool search with embeddings for scalable tool discovery. Enables on-demand tool loading to reduce context usage by 90%+ for large tool libraries.
torchdrug
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.
torch-geometric
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
track-management
Track management methodology - creating and managing logical work units (features, bugs, refactors) through specification, planning, and implementation phases.
transcription
Audio and video transcription using Whisper AI via the transcribe-anything package. Supports local files, YouTube URLs, and microphone input with multiple backends (faster-whisper, openai-whisper, Whisper API).
transformers
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
treatment-plans
Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.
troubleshooting-regression
Regression troubleshooting workflow for hook/router/memory/search failures with enforced evidence and fix validation
tsconfig-json-rules
Defines general rules for tsconfig.json. It suggest using strict TypeScript checks
tts-generation
AI text-to-speech generation using OpenAI TTS, ElevenLabs, and Google TTS backends. Converts text to audio files with voice selection, speed control, and format options.
typescript-expert
TypeScript and JavaScript expert including type systems, patterns, and tooling
uat-verify
Verify completed work against acceptance criteria, collect evidence, and produce a PASS/FAIL UAT report
ui-components-expert
UI component library expert including Chakra, Material UI, and Mantine
umap-learn
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
uniprot-database
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
user-flow-validator
Test user journey assertions against real surfaces (Web UI, CLI, API) with evidence collection and isolation boundaries
user-research
UX research methodology skill — usability testing protocols, user interview frameworks, persona development, journey mapping, heuristic evaluation (Nielsen's 10), A/B test analysis, accessibility auditing, and research synthesis using NNGroup methodology.
using-git-worktrees
Create isolated development workspaces with safety verification. Use when needing parallel development branches.
uspto-database
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.
variant-analysis
Discover vulnerability variants by identifying similar code patterns across a codebase using CodeQL and Semgrep pattern matching, finding instances where a known bug class may recur.
venue-templates
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.
vercel-ai-sdk-best-practices
Best practices for using the Vercel AI SDK in Next.js 15 applications with React Server Components and streaming capabilities.
vercel-deploy
Zero-auth Vercel deployment workflow with automatic framework detection for 20+ frameworks. Use when deploying web applications to Vercel, creating preview deployments, or setting up deployment pipelines. Supports Next.js, Vite, Remix, SvelteKit, Astro, Nuxt, and more.
verification-before-completion
Gate function preventing unverified completion claims. Use before claiming any task is done.
visual-and-observational-rules
Defines the visual aspects of the game and how the player observes the world. This includes map color-coding, screen effects, and the overall simulation style.
voice-clone-generator
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vue-expert
Vue.js ecosystem expert including Vue 3, Composition API, Nuxt, and Pinia
wave-executor
Fresh-process orchestration for EPIC-tier batch pipelines. Spawns a new Bun process per wave via the Claude Agent SDK, preventing GC-related crashes in long-running sessions.
web3-expert
Web3 and blockchain expert including Solidity, Ethereum, and smart contracts
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