AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
AgentDB Performance Optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
AgentDB Memory Patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
AgentDB Learning Plugins
Create and train RL learning plugins with AgentDB's plugin system.
aptos-society
Aptos Society Scale
cloudflare-tunnel-ec2-deployment
|
cue-lang
'CUE: Lattice-based configuration language with unification, constraint
human-writing
|
ee6e4e
Gay MCP skill at invocation 7
derham-cohomology
Differential forms on signal manifolds with exterior algebra, Hodge star, and de Rham complex
dafny-formal-verification
Formally verified SPI colors, Galois connections, and p-adic number theory in Dafny
dafny-zig
Dafny-to-Zig compiler backend development skill with verified runtime safety ("Zig-syrup")
dask
Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.
datacommons-client
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.
datadog
Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.
datamol
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
db7de8
Gay MCP skill at invocation 6
dcc346
Gay MCP skill at invocation 22
dcc83b
Auto-grown skill at knight tour position 3
dd3c3c
'Worldmat TiDAR: 3×3×3 matrix of diffusion draft + AR verify executions
debug-buttercup
>
deep-debug
>
deepchem
Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.
deeptools
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
denario
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
derived-categories
Homological algebra via chain complexes, derived functors (Tor/Ext), triangulated categories, and spectral sequences
deutsch-koordinator
Koordinator für Deutsch-Englisch Übersetzung mit GF(3) Routing
devcontainer-setup
Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
develop-web-game
Use when Codex is building or iterating on a web game (HTML/JS) and needs a reliable development + testing loop: implement small changes, run a Playwright-based test script with short input bursts and intentional pauses, inspect screenshots/text, and review console errors with render_game_to_text.
dfc070
Gay MCP skill at invocation 10
did-passport-interleave
Formal bridge between W3C Decentralized Identifiers (did:wba, ANP) and passport.gay (SplitMix64 MAC→trit trajectory→GF(3) fingerprint→QRTP air-gap). Establishes a bisimulation relation between the online DID resolution model and the offline fountain-coded QR identity model. Closes Gap G-P2 (MCP-I DID extension) and Gap G5 (passport revocation) from the zig-syrup propagator interleave gap registry.
diffdock
Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
discopy-functor
Monoidal functor evaluation for string diagrams. DisCoPy functors map
distributive-law
Distributive laws: monad/comonad composition.
dnanexus-integration
DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution.
doc
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.
docker
Run Docker commands within a container environment, including starting the Docker daemon and managing containers. Use when building, running, or managing Docker containers and images.
dockerization
|
documentation-rulebook
Standard deployment procedures for production
drugbank-database
Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.
ducklake-categorical-model
Categorical modeling for DuckLake with ACSet schemas
ducklake-meta-cognitive
Meta-cognitive analysis patterns for DuckLake temporal introspection
ducklake-pattern-expansion
Pattern expansion and schema evolution for DuckLake databases
ducklake-semantic-analyzer
Semantic analysis for DuckLake ACSet models with GF(3) conservation
ducklake-temporal-introspection
Time-travel queries and temporal versioning for DuckLake
ducklake
Create, query, migrate, and maintain DuckLake lakehouse databases using the DuckDB ducklake extension. Use when working with DuckLake catalogs, time travel queries, snapshots, schema evolution, cross-lake federation, or migrating plain DuckDB files to DuckLake format.
e
World E Skill
e2b665
Gay MCP skill at invocation 8
e2b72d
Gay MCP skill at invocation 24
e68fe0
Gay MCP skill at invocation 21
Page 1004 of 1682 · 84095 results
