79 skills found · Page 3 of 3
spencermarx / V3 Deep IntegrationDeep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
jaechang-hits / arboreto-grn-inferenceGRN inference from expression via GRNBoost2 (gradient boosting) or GENIE3 (Random Forest). Load matrix, filter by TFs, infer TF-target-importance links, save network. Dask-parallelized to single-cell scale. Core SCENIC component.
jaechang-hits / pymooPython framework for single- and multi-objective optimization with evolutionary algorithms. Define vectorized objectives and constraints; solve with NSGA-II, NSGA-III, MOEA/D, GAs, or differential evolution. Analyze Pareto fronts, visualize trade-offs, customize operators and callbacks.
jaechang-hits / samtools-bam-processingCLI toolkit for SAM/BAM/CRAM: sort, index, convert, filter, QC alignments. Core commands: view, sort, index, flagstat, stats, depth, markdup, merge. Required between alignment and variant/peak calling. Use pysam for Python-native BAM access; deeptools for normalized coverage tracks.
jaechang-hits / bedtools-genomic-intervalsGenomic interval ops on BED/BAM/GFF/VCF. Find overlaps, merge intervals, compute coverage, extract FASTA, find nearest features. Core for ChIP-seq peak annotation, region filtering, genome arithmetic. Use tabix for indexed single-region queries; use deeptools for normalized bigWig coverage.
giuseppe-trisciuoglio / unit-test-utility-methodsProvides patterns for testing utility classes, static methods, and helper functions. Validates pure functions, null handling, edge cases, and boundary conditions. Generates AssertJ assertions and @ParameterizedTest for string utils, math utils, validators, and collection helpers
imrj05 / orbitOrbit is a native desktop workbench for the pi coding agent — a chat-style GUI rendered entirely in Rust on GPUI, the GPU-accelerated UI framework Zed is built on. It speaks the pi CLI's RPC protocol directly over stdio: no browser, no webview, no Node.
Obinox04 / ccxt-mcpCCXT MCP Server bridges the gap between AI models and cryptocurrency trading by providing a standardized interface through the Model Context Protocol.
bitjaru / ss-learnCapture a human-approved UI design lesson as a privacy-minimized local StyleSeed candidate, review it, and prepare an opt-in share package without transmitting project code, prompts, screenshots, or brand data
burugo / tddA centralized reverse-proxy platform for MCP servers — manage, group, and export as Skills from a single endpoint.
HabtamuDes / tocYou have multiple specialized rules organized into **Skills** (comprehensive guides with references) and **Rules** (concise best practices).
ms-trix / tocYou have multiple specialized rules organized into **Skills** (comprehensive guides with references) and **Rules** (concise best practices).
Bibek-Kumar-Thagunna / tocYou have multiple specialized rules organized into **Skills** (comprehensive guides with references) and **Rules** (concise best practices).
emzimmer / server-wp-mcp"keywords": ["modelcontextprotocol", "mcp", "server", "ai", "claude", "wordpress", "wp"], "author": "mzimmer", "license": "MIT", "description": "The WordPress MCP server enables AI assistants to interact with WordPress sites through a standardized interface.
aliyun / alibabacloud-dataworks-mcp-serverA Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.
StudentOfJS / svelte5-mcpA specialized Model Context Protocol (MCP) server for Svelte 5 frontend development
mouhamadalmounayar / mcp-confluenceThis repository contains the source code for a confluence context server, it provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.
DaizeDong / self-evolveImprove an existing skill or repository through isolated proposals, reproducible evaluation and evidence-based acceptance. Use for self-evolve or skill improvement.
HimanshuJ16 / frankMakes your AI coding agent tell you the truth. No "You're absolutely right!", no caving when you push back on correct code, and no "done" without a command that proves it. Works with 20 agents.
