Browse Skills — Page 180
32,221 public skills · showing 17,901–18,000
- 100/100
matlab-optimize-performance
matlab/matlab-agentic-toolkit
Read BEFORE optimizing any MATLAB code for speed. Without this workflow, agents commonly optimize the wrong target, fabricate speedup claims without measurement, or introduce regressions. Guides the 7-step workflow: baseline, profile, identify, optimize, measure, verify, report.
- 100/100
matlab-performance-optimizer
matlab/agent-skills-playground
Optimize MATLAB code for better performance through vectorization, memory management, and profiling. Use when user requests optimization, mentions slow code, performance issues, speed improvements, or asks to make code faster or more efficient.
- 100/100
matlab-plan-robot-motion
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-play-record-audio
matlab/matlab-agentic-toolkit
Reference for MATLAB audiostreamer (Audio Toolbox R2025a+). Without this skill, agents consistently default to legacy audioDeviceWriter/audioDeviceReader or base MATLAB sound(), producing less capable code. Use when writing code for audio playback, recording, full-duplex device I/O, real-time audio measurements, or audio I/O processing with callbacks. Also use when debugging audiostreamer errors, dropouts, or latency issues, or migrating from audioDeviceReader, audioDeviceWriter, audioPlayerRecorder, or audioplayer/audiorecorder.
- 100/100
matlab-point-cloud-file-io
matlab/matlab-agentic-toolkit
Read and write 3-D point cloud data using Lidar Toolbox file I/O. Covers PLY, PCD, LAS/LAZ, PCAP (Velodyne/Ouster/Hesai), E57, and IDC (Ibeo) formats. Use when loading point clouds from disk, saving to disk, choosing the correct reader or writer for a file format, extracting or preserving lidar point attributes, reading Ibeo IDC sensor recordings, or converting between formats.
- 100/100
matlab-point-cloud-registration
matlab/matlab-agentic-toolkit
Register 3-D point clouds using ICP, NDT, LOAM, FGR, phase correlation, and CPD algorithms. Use when registering or aligning 3-D point clouds, choosing a registration algorithm, tuning registration parameters, preprocessing point clouds for registration or combining point clouds after registration.
- 100/100
matlab-prepare-signal-data
matlab/matlab-agentic-toolkit
|
- 100/100
matlab-process-large-images
matlab/matlab-agentic-toolkit
Patterns for using blockedImage to process large images, harness parallel compute for image processing, and write custom adapters. Use when writing code that creates, processes, or visualizes blockedImage objects, when implementing images.blocked.Adapter subclasses, or when a user needs help with large image data. Always use this skill when working with TIFF,GeoTIFF, .svs, .ndpi, .czi or other WSI, satellite imagery or microscopy volume image formats.
- 100/100
matlab-project
matlab/agent-skills-playground
Use this skill for any work involving a MATLAB Project (.prj file) — creating a new project, tracking files, managing the project path, configuring Simulink cache and code-generation folders, running project health checks, or writing build scripts that keep the project in sync with the file system. Trigger phrases include "set up a MATLAB project", "create a .prj", "track this file in the project", "project health check", "build script conventions". This skill is the generic foundation; domain-specific skills (e.g. `mbse-workflow`) build on it.
- 100/100
matlab-publish-toolbox
matlab/matlab-agentic-toolkit
Version-stamp, re-package, and distribute the .mltbx toolbox. Sets version in ToolboxOptions, re-runs packageToolbox, and guides distribution. Requires explicit user confirmation.
- 100/100
matlab-read-database
matlab/matlab-agentic-toolkit
Reads data from relational databases using MATLAB Database Toolbox pushdown capabilities. Use when importing data from JDBC/ODBC databases, filtering rows, selecting columns, excluding duplicates, joining database tables, using sqlread, fetch, sqlinnerjoin, sqlouterjoin, databaseImportOptions, or rowfilter.
- 95/100
matlab-read-doc
matlab/matlab-agentic-toolkit
Guides the agent to reference official MathWorks Documentation and Help. Determine correct function syntax and workflows from user guides when deeper context is needed. Minimize iterations and repetitive trial and error. Use this skill to: Identify correct syntax and configuration details. Retrieve relevant, version-specific (or release-specific) information from official documentation. Consult user guides when conceptual or workflow context is needed. Apply best practices.
- 100/100
matlab-read-medical-data
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-read-pcb-layout
matlab/matlab-agentic-toolkit
Import Gerber, ODB++, Allegro .brd, .mcm files for PCB boards and IC packages. Inspect nets, layers, shapes, and stackups. TRIGGER: user asks to import, read, or open a PCB layout file. Gerber files use gerberRead or PCBReader; ODB++, Allegro .brd, .mcm, and native formats use pcbFileRead. Also when inspecting nets, layers, components, or stackups from an imported board. Invoke BEFORE writing import code — the query API (cadnet, cadnetList, componentList) is specialized. SKIP: EM analysis or S-parameter extraction (use matlab-analyze-em), PDN/IR-drop analysis (use matlab-analyze-pcb-pdn), building custom geometry (use matlab-assemble-pcb-layout), material/stackup definition only (use matlab-manage-pcb-material).
- 100/100
matlab-review-code
matlab/matlab-agentic-toolkit
Review MATLAB code for quality, performance, maintainability, and adherence to MathWorks coding standards. Uses check_matlab_code and matlab_coding_guidelines. Use when reviewing code, checking style, finding code smells, assessing quality, or preparing code for handoff or publication.
- 100/100
matlab-review-fi-code
matlab/matlab-agentic-toolkit
Reviews MATLAB fixed-point (fi) code for performance, code generation efficiency, and correctness. Identifies antipatterns and suggests idiomatic improvements. Use when reviewing fi, fimath, numerictype, or quantizenumeric code.
- 100/100
matlab-scenario-builder
matlab/matlab-agentic-toolkit
Generate driving scenes, scenarios, road surfaces, and 3D content from scenariobuilder.* sensor data (GPS, camera, lidar, actor tracks) using Scenario Builder for Automated Driving Toolbox. BUILD, EXPORT, or AUGMENT a virtual scenario/scene/map: ego or actor trajectories, trajectory smoothing, OpenCRG road-surface extraction, 3D asset generation, static-object placement, point-cloud georeferencing + elevation, lane-based ego localization, sensor-fusion tracking, scenario-event extraction (cut-ins, hard brakes, near-misses, ADAS disengagements), or export to RoadRunner, drivingScenario, OpenDRIVE, OpenCRG, OpenSCENARIO, or Unreal Engine. Also: log-to-scenario, scenario harvesting, accident/near-miss reconstruction, SOTIF (ISO 21448) and ISO 26262 scenario coverage, USGS-aerial-lidar augmentation, traffic-sign placement, vision-based vehicle classification for actor assets. NOT for raw-data import or multi-sensor sync/crop/offset/timestamp normalization — route those to matlab-driving-data-importer.
- 100/100
matlab-scientific-computing
jaechang-hits/SciAgent-Skills
MATLAB/GNU Octave numerical computing: matrices, linear algebra, ODEs, signal processing, optimization, statistics, scientific visualization. MATLAB-syntax examples run on both. For Python use numpy/scipy; for statistical modeling use statsmodels.
- 100/100
matlab-set-up-usrp-radio
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-setup-gpu
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-setup-worker-state
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-sharing
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-simulate-bluetooth-network
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-simulate-radar-detections
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-simulate-simbiology-model
matlab/matlab-agentic-toolkit
Simulate SimBiology models — ODE, stochastic (SSA), scenarios, and sensitivity analysis. Use when asked to run, simulate, predict, explore what-if, or identify influential parameters.
- 100/100
matlab-simulate-wireless-network
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-solve-optimization
matlab/matlab-agentic-toolkit
>-
- 100/100
matlab-solve-pde
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-symbolic-math
matlab/agent-skills-playground
Generate correct MATLAB code using the Symbolic Math Toolbox. Use when the user asks for symbolic computations, analytical solutions, symbolic differentiation/integration, equation solving, or converting symbolic results to numeric MATLAB functions. Also use when converting differential equations to transfer functions or state-space form.
- 100/100
matlab-testing
matlab/matlab-agentic-toolkit
Generate and run MATLAB unit tests using matlab.unittest and matlab.uitest. Parameterized tests, fixtures, mocking, coverage analysis, CI/CD with buildtool, app testing with gestures. Use when creating tests, writing test classes, running test suites, checking coverage, testing apps, or validating MATLAB code.
- 100/100
matlab-theming
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-train-network
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-uihtml-app-builder
matlab/agent-skills-playground
Build interactive web applications using HTML/JavaScript interfaces with MATLAB computational backends via the uihtml component. Use when creating HTML-based MATLAB apps, JavaScript MATLAB interfaces, web UIs with MATLAB, interactive MATLAB GUIs, or when user mentions uihtml, HTML, JavaScript, web apps, or web interfaces.
- 100/100
matlab-uihtml-design
matlab/agent-skills-playground
Generate beautiful, distinctive HTML/CSS/JS control panels for MATLAB uihtml components. 8 built-in styles (Clean, Material, Cosmic Dark, Neumorphic, Dashboard Light, Midnight Gradient, Minimal Mono, Warm Dark) plus custom aesthetics. Produces production-grade UI with sliders, buttons, toggles, and panels. Use when building visually polished MATLAB app UIs with uihtml.
- 100/100
matlab-upgrade-mex-ic
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-use-cameras
matlab/matlab-agentic-toolkit
>
- 95/100
matlab-use-duckdb
matlab/matlab-agentic-toolkit
Use DuckDB from MATLAB via Database Toolbox (R2026a+) as a non-math operations engine on large tabular files (CSV/Parquet/JSON) and as a zero-config embedded database. Use when connecting to DuckDB, querying CSV, Parquet, and JSON files directly with SQL, reducing or profiling large data before MATLAB analysis, creating portable development databases, or installing DuckDB extensions. Triggers on: DuckDB, duckdb(), large CSV/Parquet/JSON, file too large for readtable, filter/aggregate at source, deduplicate, reduce before analysis, profile large file, persistent file import, analytical engine, SQL on CSV, SQL on Parquet, SQL on JSON, query CSV with SQL, query Parquet with SQL, run SQL on files, SQL queries on files, query files directly, SQL without database, in-process SQL.
- 100/100
matlab-use-machine-learning-apps
matlab/matlab-agentic-toolkit
Use when the user wants to train, compare, or export machine learning models using Classification Learner or Regression Learner — including opening the app, loading data, training models, evaluating metrics, comparing results, visualizing plots, testing on held-out data, exploring model interpretability, and exporting trained models. Programmatic access to Classification Learner and Regression Learner apps via AppController.
- 100/100
matlab-use-thread-pool
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-validate-function-arguments
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-vehicle-network-communication
matlab/matlab-agentic-toolkit
Use when setting up vehicle network communication in MATLAB using Vehicle Network Toolbox. Covers CAN/CAN FD (fully implemented), with architecture for J1939, XCP, and future protocols. Handles hardware discovery, channel creation, bus configuration, message exchange, signal encoding/decoding, and analysis across all supported vendors (Vector, Kvaser, PEAK-System, NI, SocketCAN, MathWorks Virtual).
- 100/100
matlab-write-audio-plugin
matlab/matlab-agentic-toolkit
>
- 100/100
matlab-write-database
matlab/matlab-agentic-toolkit
Writes data from MATLAB to relational databases and performs database operations. Use when writing data with sqlwrite, updating rows with sqlupdate, executing SQL with execute, running stored procedures, managing transactions with commit/rollback, creating tables, or using SQL prepared statements.
- 100/100
matlab-write-help
matlab/matlab-agentic-toolkit
Generate or improve MATLAB help text (documentation comments) for a function, class, or script file following MathWorks standards (H1 line, syntax paragraphs, See Also, 75-char lines). Read BEFORE writing MATLAB help — default patterns (Inputs:/Outputs: lists, block comments, uppercase See Also) produce non-conforming output. Use when writing, rewriting, fixing, or reviewing MATLAB help comments or function documentation.
- 100/100
matlab-write-pcb-layout
matlab/matlab-agentic-toolkit
Export pcbComponent designs to Gerber files with RF connectors and fab service formatting for PCB manufacturing. TRIGGER: user asks to export a PCB design to Gerber, generate manufacturing files, or write out a pcbComponent for fabrication. Invoke BEFORE writing export code — gerberWrite signature (pcbComponent, connectors, filename) is non-obvious. SKIP: importing/reading PCB files (use matlab-read-pcb-layout), building PCB geometry (use matlab-assemble-pcb-layout), EM analysis (use matlab-analyze-em), material/stackup setup (use matlab-manage-pcb-material).
- 100/100
matlab-write-performance-tests
matlab/matlab-agentic-toolkit
Writes MATLAB performance tests using the matlab.perftest.TestCase framework. Use when asked to write, create, or add performance tests for MATLAB code, benchmark functions, measure execution time with statistical rigor, or use runperf.
- 100/100
matplotlib
K-Dense-AI/scientific-agent-skills
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
- 100/100
matplotlib-scientific-plotting
jaechang-hits/SciAgent-Skills
Low-level Python plotting for scientific figures: publication-quality line, scatter, bar, heatmap, contour, 3D; multi-panel layouts; fine control of every element. PNG/PDF/SVG export. Use seaborn for quick stats, plotly for interactive.
- 100/100
matplotlib-v2
diegosouzapw/awesome-omni-skills
Matplotlib workflow skill. Use this skill when the user needs Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
matrix
bergside/awesome-design-skills
A cyber-slick, dark-only Matrix-inspired interface defined by minimalist fashion, high-tech digital elements
- 100/100
matrix-construction
yogsoth-ai/de-anthropocentric-research-engine
Build n-dimensional morphological matrix
- 100/100
matter-briefing
anthropics/claude-for-legal
Deep briefing on one matter — current posture, what's changed, next deadline, open questions, and a risk re-assessment check, ready before a GC update or outside counsel call. Use when the user says "brief me on [matter]", "where are we on [matter]", or needs a read on a specific matter.
- 100/100
matter-close
anthropics/claude-for-legal
Close a matter — capture outcome, final exposure, and lessons, then archive it out of the active portfolio without deleting the record. Use when the user wants to close a matter, says "[matter] is done", or needs to record a settlement, dismissal, judgment, withdrawal, or consolidation outcome.
- 100/100
matter-intake
anthropics/claude-for-legal
Intake a new matter — uniform questions covering identification, conflicts, source, risk triage, materiality, outside counsel, owners, legal hold, and key dates; writes matter.md and history.md and appends a structured row to _log.yaml. Use when the user says "new matter", "intake this matter", or wants to bring a new matter into the portfolio.
- 100/100
matter-update
anthropics/claude-for-legal
Append a dated event to a matter's history file and refresh the log row — captures new developments, status changes, risk re-assessments, deadline shifts, and settlement authority changes. Use when the user wants to log an update on a matter, note a development, or record a status change against the portfolio.
- 100/100
matter-workspace
anthropics/claude-for-legal
>
- 100/100
maturation-pathway-design
yogsoth-ai/de-anthropocentric-research-engine
Design path to readiness using Stage-Gate, Technology Roadmapping, and milestone planning methods.
- 100/100
maturity-diagnosis
yogsoth-ai/de-anthropocentric-research-engine
Assess current readiness of candidates using TRL 9-level, NASSS 7-dimension, and Innovation Readiness Level frameworks.
- 100/100
maven-build-lifecycle
elizaOS/eliza
Use when working with Maven build phases, goals, profiles, or customizing the build process for Java projects.
- 100/100
maven-dependency-management
elizaOS/eliza
Use when managing Maven dependencies, resolving dependency conflicts, configuring BOMs, or optimizing dependency trees in Java projects.
- 100/100
maven-plugin-configuration
elizaOS/eliza
Use when configuring Maven plugins, setting up common plugins like compiler, surefire, jar, or creating custom plugin executions.
- 100/100
maven-search
partme-ai/full-stack-skills
Provides comprehensive guidance for searching and retrieving Maven components from Maven Central Repository (https://repo1.maven.org/maven2/). This skill enables searching by groupId, artifactId, version, and other coordinates, retrieving component metadata (POM files, JARs, sources, Javadoc), querying version history, and analyzing dependencies. Use when the user needs to find, verify, or retrieve Maven dependencies, check component versions, analyze dependency trees, or work with Maven coordinates.
- 100/100
max-getting-started
Significant-Gravitas/skills-catalog
Use on the first chat with Max, or whenever their memory has no sales preferences yet: learn the book they sell into and put one real read in front of them.
- 15/100
maxia
diegosouzapw/awesome-omni-skills
MAXIA \u2014 AI-to-AI Marketplace on Solana workflow skill. Use this skill when the user needs Connect to MAXIA AI-to-AI marketplace on Solana. Discover, buy, sell AI services. Earn USDC. 13 MCP tools, A2A protocol, DeFi yields, sentiment analysis, rug detection and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 15/100
maxia-v2
diegosouzapw/awesome-omni-skills
MAXIA \u2014 AI-to-AI Marketplace on Solana workflow skill. Use this skill when the user needs Connect to MAXIA AI-to-AI marketplace on Solana. Discover, buy, sell AI services. Earn USDC. 13 MCP tools, A2A protocol, DeFi yields, sentiment analysis, rug detection and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
maxquant-proteomics
jaechang-hits/SciAgent-Skills
MaxQuant + Perseus proteomics pipeline: run MaxQuant for LFQ and SILAC; parse proteinGroups.txt in Python; filter contaminants/decoys; log2 + median-normalize; impute MNAR; t-test with FDR; volcano plot; GO/pathway enrichment. Use Proteome Discoverer for Thermo-native processing; FragPipe/MSFragger for GPU-accelerated DB search.
- 100/100
maya-getting-started
Significant-Gravitas/skills-catalog
Use on the first chat with Maya, or whenever her memory holds no marketing preferences yet: learn what they sell and who buys it, where their work has to land, who approves anything a customer will see, and put one real piece of marketing work on screen in the same session.
- 100/100
mayor-coordinator
Tibsfox/gsd-skill-creator
Northbridge coordination pattern for multi-agent orchestration. Creates convoys, dispatches work via sling, monitors progress, and handles escalations. Never executes work directly.
- 100/100
mboum-automation
ComposioHQ/awesome-claude-skills
"Automate Mboum tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
mbse-architecture
matlab/agent-skills-playground
Use this skill for the architecture phases of an MBSE workflow in MATLAB, when writing idempotent buildXxx.m scripts that produce a three-layer RFLPV architecture (Functional, Logical, Physical) with interface dictionaries, stereotype profiles, allocation sets, and requirements Implement links. Trigger for defining stereotype properties, functional-to-logical / logical-to-physical allocation, mapping requirements to components via slreq Implement links, or running quantitative roll-up analysis on the architecture. Do NOT trigger for ad-hoc structural edits to an already-built System Composer model (adding one component, rewiring a port) — use `building-simulink-models` with `model_edit` for that. Works alongside the `system-composer` skill for detailed SC API patterns.
- 100/100
mbse-workflow
matlab/agent-skills-playground
Use this skill for guided MBSE work in MATLAB — starting a new project, resuming work mid-workflow on an existing project, or answering orientation questions about how the MBSE skills fit together. Trigger when the user says they want to create, start, or set up a new MBSE project; work on a model-based systems engineering / RFLPV project; or asks which skill covers which phase. Walks through phases one at a time — propose → approve → generate → run → confirm. Use proactively whenever someone mentions starting or continuing an MBSE project.
- 100/100
mcfly
microsoft/TypeScript
Only invoke when explicitly instructed to
- 100/100
mckinsey-consultant
Mann1988/awesome-claude-skills
McKinsey顾问式问题解决系统。从商业问题出发,通过假设驱动的结构化分析方法,生成McKinsey风格研究报告和PPT。融合Problem Solving方法论、MECE原则、Issue Tree拆解、Hypotheses形成、Dummy Page设计、智能数据收集和专业PPT生成能力。
- 100/100
mcp
vercel-labs/json-render
MCP Apps integration for json-render. Use when building MCP servers that render interactive UIs in Claude, ChatGPT, Cursor, or VS Code, or when integrating json-render with the Model Context Protocol.
- 100/100
MCP Integration
tzachbon/smart-ralph
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
- 100/100
MCP Integration
anthropics/claude-code
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
- 100/100
mcp-agent-connect
aAAaqwq/AGI-Super-Team
Connect to an AI agent via MCP using their mcp_url from CRM. Discovers capabilities via agent.json, registers MCP server, and enables tool-based communication.
- 65/100
mcp-attribution-worktree
TencentCloudBase/CloudBase-AI-Toolkit
Triage, repair, and close MCP attribution issues from the local report API with evidence-driven decisions and isolated Worktrunk worktrees. Use this skill when Codex needs to process `tool` attribution issues and skills-related attribution issues, inspect related runs, decide whether the issue is actionable in `mcp/src` or `config/source/skills`, update attribution fields as `owner=codex`, and then complete the fix loop through GitHub issue tracking, worktree-based code changes, PR submission, and follow-up iteration when the problem is repairable.
- 100/100
mcp-audit
rohitg00/pro-workflow
Audit connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs.
- 95/100
ComposioHQ/mcp-builder
ComposioHQ/awesome-claude-skills
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
- 95/100
microsoft/mcp-builder
microsoft/skills
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK).
- 100/100
anthropics/mcp-builder
anthropics/skills
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
- 95/100
mcp-builder-ms
benjaminasterA/antigravity-awesome-skills
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate exte...
- 95/100
mcp-builder-ms-v2
diegosouzapw/awesome-omni-skills
MCP Server Development Guide workflow skill. Use this skill when the user needs building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK) and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
mcp-builder-v2
diegosouzapw/awesome-omni-skills
MCP Server Development Guide workflow skill. Use this skill when the user needs Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
mcp-builder-v3
diegosouzapw/awesome-omni-skills
MCP Server Development Guide workflow skill. Use this skill when the user needs Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
mcp-builder-v4
diegosouzapw/awesome-omni-skills
MCP Server Development Guide workflow skill. Use this skill when the user needs Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 100/100
obra/mcp-cli
obra/superpowers-lab
Use MCP servers on-demand via the mcp CLI tool - discover tools, resources, and prompts without polluting context with pre-loaded MCP integrations
- 100/100
github/mcp-cli
github/awesome-copilot
Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line.
- 100/100
mcp-client
TerminalSkills/skills
>-
- 80/100
mcp-code-mode
Kastalien-Research/thoughtbox
>
- 100/100
mcp-connector-setup
modu-ai/cowork-plugins
|
- 100/100
mcp-copilot-studio-server-generator
github/awesome-copilot
'Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support'
- 95/100
mcp-create-adaptive-cards
github/awesome-copilot
'Skill converted from mcp-create-adaptive-cards.prompt.md'
- 90/100
mcp-create-declarative-agent
github/awesome-copilot
'Skill converted from mcp-create-declarative-agent.prompt.md'
- 100/100
mcp-deepwiki
aahl/skills
Skills for accessing and searching docs in DeepWiki/GitHub’s public code repositories can help users understand open-source project source codes, and users can also ask questions directly about the code docs.
- 80/100
mcp-deploy-manage-agents
github/awesome-copilot
'Skill converted from mcp-deploy-manage-agents.prompt.md'
- 100/100
mcp-developer
Jeffallan/claude-skills
Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/HTTP/SSE transport layers, validate schemas with Zod or Pydantic, debug protocol compliance issues, or scaffold complete MCP server/client projects using TypeScript or Python SDKs.
- 100/100
mcp-duckgo
aahl/skills
Skills for web search and content scraping via DuckDuckGo MCP Server. Used when users need online searching and web scraping.
- 100/100
mcp-graphiti-memory
beep-effect/beep-effect
DEPRECATED (2026-07-08 memory decision): Graphiti is write-frozen, read-only for historical context until the epistemic-tables bitemporal port lands. Use only for read workflows: startup checks, fact search, handshake diagnosis. New durable memory goes to Cognee.
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