1.6K skills · sorted by relevance
Turn an unclear feature idea into a structured specification with goals, boundaries, and testable success criteria. Split broader requests into independent modules when needed, then move through planning, task breakdown, and implementation with human review.
Prepare media assets required by an existing OD Next plan. Reuse verified capabilities and suitable assets, acquire files, measure dimensions, and retrieve background job results while preserving required content, licensing constraints, and quality conditions.
Retrieve a curated, source-backed log of disruptions affecting oil and gas pipelines and storage facilities. Filter by facility, asset type, or ongoing events to review causes, dates, offline capacity, and supporting evidence.
Compare ruflo and HAL systems for running the GAIA benchmark, an AI evaluation. Examine differences in code execution, browsing, file handling, memory, and model selection to prioritize improvements by expected impact and effort.
Compare models available through the HuggingFace router with chat-ui configuration, research missing models, and write short English descriptions of their architecture and capabilities. Add entries to both production and development configuration files and commit the changes.
Find ruflo plugins suited to your current task, workflow, and installed MCP tools, which connect agents to external capabilities. Browse recommendations, search by need, and review what each candidate adds before choosing plugins.
Review a reusable Agent Skill package before implementation. Validate its identity fields, separate instructions from external capabilities and execution timing, and receive a validation report with a minimal set of building blocks and reasons for each choice.
Set up Muse’s built-in Tailscale connector, join a private Tailscale or Headscale network, and check connection status. Use a TCP tunnel proxy to reach private machines and consult documentation about routing capabilities and supported limits.
Discover what a paired phone or wearable currently supports, then run the requested device, app, camera, media, or smart-home action. Check each device's published capabilities and permissions, and report the actual outcome or any execution errors.
Combine tools for research, reference management, notes, document creation, and publishing. Agents check available software and credentials, then choose suitable tools based on output requirements, costs, and offline needs to build a complete workflow.
Find and install command-line tools that let AI agents operate professional software. Search by task or category, check which workflow capabilities are available locally, and install the specific tools needed for a multi-tool project.
Choose tools and workflows for 3D modeling, dimensioned CAD parts, scan processing, rendering, and fabrication. Capability tables and recipes help connect tasks from photographs or initial designs to printable parts, CNC toolpaths, or game assets.
Plan video production and combine tools for footage search, capture, generation, audio, analysis, and captions. Select tools for each task based on quality, budget, available credentials, and offline needs, with guidance for source rights and review.
Plan how to add external capabilities to an AI agent using MCP, a connection protocol, or Skill Hub distribution. Compare integration methods, design tools and data access, and review context costs, credentials, and third-party security risks.
Design and review laboratory automation with PyLabRobot, including equipment layouts and liquid transfers. Check planned volumes and tip capacities, draft protocols, and simulate operations in software before a trained operator reviews any physical run.
Organize ISO evidence for medical devices and laboratories, including controlled documents, risk records, corrective actions, and supplier controls. Produce structured gap reports for authorized human review while keeping certification, accreditation, and regulatory processes distinct.
Search for and install skills that fill a missing capability, or open the Skills settings for management. When suitable options are unavailable, hand off to the built-in skill-creator and continue the original task.
Guides agents in choosing Cherry Studio tools for research, document conversion, memory, notifications, and other tasks. It explains when to use app tools or local runtimes, with checks for availability, configuration, and approval.
Find agent skills for a specific task, compare candidates using their capabilities, sources, and installation history, and install a selected skill into Cherry after the user has expressed an intent to install it.
Compare AAS skills against a project's capabilities, then record the chosen combination as a validated stack manifest. Inspect the result, identify catalog gaps, and optionally export evidence documenting the selection process.
Structure an evidence-based comparison of shortlisted accounting packages using 57 fields for capabilities, costs, and evaluator judgments. Request empty templates in CSV, SQL DDL, JSON Schema, or Notion mapping while keeping the final decision with the business.
Evaluate whether a fine-tuned model is ready for release by checking training data, general capability loss, comparisons with the base model, and staged production rollout. Produces an evidence-based promotion or rejection report with one prioritized remedy when rejected.
Captures screenshots on registered computers and manages saved captures. Supports screen recording on macOS and timed screenshot sequences on HarmonyOS, checking available capabilities first and returning the finalized file path when recording stops.
Diagnose slow Power BI reports, data refreshes, and queries through structured measurement and troubleshooting. Get recommendations for data models, DAX calculation formulas, report layouts, and infrastructure, with guidance for validating improvements and ongoing monitoring.