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.
triangle-sparsifier
Triangle inequality for maximally correct world choice sparsification
tritwies-trace
Trace of Tritwies GitHub org activities - Omega, DisCoPy, Wasm SpecTec, and MCP SDK integration
truealife
Comprehensive index of Artificial Life repositories across history, with special focus on 2024-2025 breakthroughs. ASAL, Flow-Lenia, CAX, ALIEN, JaxLife, and 256+ GitHub repos.
tui-application-playbook
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tuistory
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u
World U Skill
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.
unironic-sun-emoji
NaNoWriMo novel project database. Use when referencing the manuscript, its structure, documents, or searching its content via DuckDB.
universal-learning-signature
Framework for measuring learning dynamics in multi-agent systems and communication networks. Provides D (dimensionality), f (feedback fraction), and H₁ (topological cycles) measurements with confidence scoring. Validates across 4 domains (Topobench synthetic, GitHub networks, IES empirical, DuckDB real). Use this skill when measuring learning system characteristics, verifying convergence in multi-agent systems, comparing learning mechanisms across domains, or trading measurement services in agent marketplaces.
universal-property
Universal properties: unique factorization.
unworld-color-ordinality
Replace ordered numbers with proximal mutually-aware learnable colors
unworld-moments
Make all 69 cognitive moments happen simultaneously via parallel triadic fanout. Transforms sequential Given-When-Then into derivational ⊗ composition.
unworld-ombudsman
Neutral arbiter for derivational chains - verifies GF(3) conservation,
using-gh-cli
Guides usage of the GitHub CLI (gh) for interacting with GitHub repositories, PRs, issues, and API. Use when working with GitHub resources instead of WebFetch or curl.
uspto-database
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
programmatic-seo
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.
skill-creation
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padic-ultrametric-embedding
P-adic ultrametric distance for UMAP/itUMAP/HNSW with Snowflake Arctic
padic-ultrametric
P-adic ultrametric distance as foundation for UMAP→itUMAP→HNSW→Snowflake→MLX→SPI
Pair Programming
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
paper-2-web
This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use this skill for tasks involving paper dissemination, conference preparation, creating explorable academic homepages, generating video abstracts, or producing print-ready posters from LaTeX or PDF sources.
pymoo
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
pyopenms
Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.
pysam
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calculate coverage, for NGS data processing pipelines.
pytdc
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.
pytorch-lightning
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
q
World Q Skill
qiskit
Comprehensive quantum computing toolkit for building, optimizing, and executing quantum circuits. Use when working with quantum algorithms, simulations, or quantum hardware including (1) Building quantum circuits with gates and measurements, (2) Running quantum algorithms (VQE, QAOA, Grover), (3) Transpiling/optimizing circuits for hardware, (4) Executing on IBM Quantum or other providers, (5) Quantum chemistry and materials science, (6) Quantum machine learning, (7) Visualizing circuits and results, or (8) Any quantum computing development task.
quillen-model
Quillen model categories: (C,W,F) structures.
qutip
Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and dynamics (Schrödinger, master equations, Monte Carlo), (4) open quantum systems with dissipation, (5) quantum measurements and entanglement, (6) visualization (Bloch sphere, Wigner functions), (7) steady states and correlation functions, or (8) advanced methods (Floquet theory, HEOM, stochastic solvers). Handles both closed and open quantum systems across various domains including quantum optics, quantum computing, and condensed matter physics.
r
World R Skill
r2frida
Dynamic instrumentation bridge — radare2 static analysis meets Frida runtime hooking via r2frida:// URI
rank-polymorphism
'APL/BQN rank polymorphism: implicit iteration via array rank, no explicit
rdkit
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
reactome-database
Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies.
reality-tech
Reality tech umbrella for AR/VR/XR. Choose the right stack (WebXR/OpenXR/Unity/Unreal) and ship with strong defaults for comfort, performance, and privacy.
ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
ReasoningBank Intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
reasoningbank-with-agentdb
ReasoningBank adaptive learning with AgentDB vector backend. Trajectory tracking, verdict judgment, memory distillation. Triggers: reasoningbank, agentdb, adaptive learning, experience replay, trajectory tracking.
refactoring-playbook
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referral-program
When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' or 'partner program.' This skill covers program design, incentive structure, and growth optimization.
relational-thinking
Intent taxonomy and morphisms across 15 amp threads
releasenotes
Generate formatted changelogs from git history since the last release tag. Use when preparing release notes that categorize changes into breaking changes, features, fixes, and other sections.
relegant
Cross-domain theory connecting Sprague-Grundy computation, graph coloring, Möbius inversion, string diagram composition, and nimber arithmetic through incidence algebras
render-deploy
Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their application on Render's cloud platform.
research-grants
Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
research-lookup
Look up current research information using Perplexity's Sonar Pro Search or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.
restricted-bigquery-dbt-environment
Safe dbt development against BigQuery using test schema isolation. Prevents accidental production writes. Triggers: dbt, bigquery, test schema, production safety.
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