2,371 skills found Β· Page 10 of 80
sickn33 / apify-trend-analysisDiscover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
sickn33 / api-integration-architectDesign, implement, debug, and optimize API integrations with expert-level
sickn33 / analyze-projectForensic root cause analyzer for Antigravity sessions. Classifies scope deltas, rework patterns, root causes, hotspots, and auto-improves prompts/health.
sickn33 / agent-memory-mcpA hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
sickn33 / android_ui_verificationAutomated end-to-end UI testing and verification on an Android Emulator using ADB.
sickn33 / anti-sleepKeep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs.
sickn33 / agent-self-schedulingSchedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.
sickn33 / ai-loopRuns a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.
sickn33 / airtable-automationAutomate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
sickn33 / app-store-changelogGenerate user-facing App Store release notes from git history since the last tag.
sickn33 / application-performance-performance-optimizationOptimize end-to-end application performance with profiling, observability, and backend/frontend tuning
sickn33 / accesslint-scanAudit a live page for accessibility issues, locate each WCAG violation precisely, and return a selector-grounded fix worklist without editing.
sickn33 / address-github-commentsUse when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.
sickn33 / aas-compose-stackPreserve the coding agent's explicit AAS skill selection as a validated stack and optional evidence.
K-Dense-AI / astropyCore Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology
K-Dense-AI / daskScales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures, chunking, schedulers, and distributed diagnostics.
K-Dense-AI / deeptoolsNGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
K-Dense-AI / esmUses the Biohub esm Python SDK for ESM3 protein generation, ESMC embeddings, and ESMFold2 all-atom folding. Applies to local model inference and Biohub hosted clients, including former Forge workflows; distinguishes the separate legacy fair-esm distribution.
K-Dense-AI / genimlSupports audited local Geniml genomic-interval workflows: validate BED and universe contracts, plan Region2Vec or scEmbed runs, inspect model/tokenizer compatibility, and assess consensus universes.
K-Dense-AI / genomic-intelligenceOptional gi_ bearer key for the REST /v1 API and higher MCP rate and concurrency limits. The hosted MCP demo runs keyless; request a key at contact@genomicintelligence.ai.
K-Dense-AI / geomasterSupports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation
K-Dense-AI / glycoengineeringAnalyzes and engineers protein glycosylation by scanning canonical N-glycosylation sequons, describing S/T-rich regions, checking curated glycan evidence, and preparing NetNGlyc, NetOGlyc and GlycoSHIELD workflows.
K-Dense-AI / imaging-data-commonsQueries and downloads public cancer imaging data from NCI Imaging Data Commons. Supports IDC collection discovery, DICOM access, radiology (CT, MR, PET) and pathology AI datasets, metadata SQL, visualization, licensing, and citations.
K-Dense-AI / lamindbManages biological datasets and models with LaminDB, including artifact registration, lineage tracking, schema validation, Bionty ontology annotation, query/search, collections, branches, storage, and workflow integrations. Use for reproducible biological data curation or a LaminDB lakehouse.
K-Dense-AI / markdown-mermaid-writingWrites scientific Markdown documentation and Mermaid diagrams for workflows, relationships, timelines, and schemas. Provides syntax references, document templates, accessibility guidance, and version-aware rendering checks
K-Dense-AI / matplotlibCreates and customizes scientific plots with Matplotlib. Used for fine-grained control over plot elements, novel plot types, and scientific workflows. Export to PNG/PDF/SVG for publication.
K-Dense-AI / neurokit2Builds and audits reproducible NeuroKit2 research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity
K-Dense-AI / nextflowBuilds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipelinβ¦
K-Dense-AI / opentrons-integrationAuthors, reviews, migrates, simulates, and troubleshoots official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots. Use for robot-specific liquid handling, deck and labware setup, pipettes, modules, runtime parameters, liquid classes, and Opentrons App analysis.
K-Dense-AI / pydeseq2Performs bulk RNA-seq differential expression analysis with PyDESeq2, including count validation, formula designs, explicit contrasts, Wald tests, FDR correction, coefficient-matched LFC shrinkage, and result visualization. Use for PyDESeq2 or Python DESeq2 workflows with biological replicates.