Create, review, migrate, and simulate Python liquid-handling protocols for Opentrons Flex and OT-2 robots. Covers deck layout, labware, pipettes, modules, volumes, and tip policies, with checks for Opentrons App analysis and operator review before physical runs.
- Draft liquid-transfer or serial-dilution protocols
- Review deck layout, volumes, and tip changes
- Update older protocols for supported API versions
K-Dense-AI/scientific-agent-skills☆ 53.1KUpdated Oct 19, 2026
Estimate intracellular reaction rates from steady-state carbon-13 tracing measurements. Validate carbon atom mappings and measurement inputs, simulate labeling, fit constrained fluxes, and diagnose which pathway rates the data can meaningfully constrain.
- Estimate metabolic fluxes from carbon-13 labeling
- Validate atom mappings and measurement inputs
- Simulate labeling for proposed reaction rates
K-Dense-AI/scientific-agent-skills☆ 53.1KUpdated Oct 19, 2026
Build and simulate quantum circuits in Python with Cirq. Compare noise effects, test parameter values, transform circuits for hardware constraints, and prepare experiments for Google Quantum AI or supported providers when the required access is available.
- Building and simulating quantum circuits
- Comparing measurement results at different noise levels
- Testing circuits across a range of parameter values
K-Dense-AI/scientific-agent-skills☆ 53.1KUpdated Oct 19, 2026
Design courses where learners explore ideas by changing parameters, following diagrams, running code, playing games, or inspecting 3D scenes. Each main page focuses on one mechanism or structure, with opening and closing pages framing the learning.
- Exploring how changing a parameter affects a system
- Following a diagram to understand structure or flow
- Learning an idea by modifying and running code
THU-MAIC/OpenMAIC☆ 41.1KUpdated Oct 19, 2026
Analyze investment returns and portfolio risk using loss thresholds, average losses beyond those thresholds, and peak-to-trough declines. Combine simulated price paths with historical and hypothetical market shocks to produce a risk report and control recommendations.
- Examining risks behind backtest results
- Comparing portfolio losses under market shocks
- Measuring drawdowns and time to recovery
HKUDS/Vibe-Trading☆ 36KUpdated Oct 19, 2026
Use Stratus Red Team to simulate attack techniques across AWS, Azure, GCP, and Kubernetes. Prepare test resources, run and repeat simulations, check logs and alerts, and remove resources to assess whether security detections work.
- Checking whether cloud detection rules trigger
- Testing log ingestion and alert routing
- Running joint attack and defense exercises
mukul975/Anthropic-Cybersecurity-Skills☆ 34.7KUpdated Aug 31, 2026
Assess whether stolen Kerberos tickets, credentials used for network authentication, can enable access to other systems during authorized testing. Guide ticket extraction and reuse, review detection indicators, and document evidence for security reports.
- Authorized testing of access through reused tickets
- Checking detection of Kerberos ticket theft
- Collecting evidence for lateral movement reports
mukul975/Anthropic-Cybersecurity-Skills☆ 34.7KUpdated Aug 31, 2026
Simulate man-in-the-middle attacks, where traffic is intercepted between communicating systems, in authorized environments. Use Bettercap, Ettercap, and mitmproxy to test encryption enforcement, certificate validation, and network detection, then document findings and recommendations.
- Testing HTTPS enforcement and certificate validation
- Checking detection of network spoofing
- Demonstrating the risks of unencrypted traffic
mukul975/Anthropic-Cybersecurity-Skills☆ 34.7KUpdated Aug 31, 2026
Set up and harden a Sliver server for authorized security exercises that simulate attackers. Cover multiple communication protocols, intermediary servers, certificate-based access for team members, and test programs that use periodic or interactive connections.
- Building a Sliver server for an authorized red-team exercise
- Configuring multiple communication protocols for an exercise
- Managing certificate-based access for multiple operators
mukul975/Anthropic-Cybersecurity-Skills☆ 34.7KUpdated Aug 31, 2026
Set up Havoc infrastructure for authorized attack simulations, including its command server, traffic listeners, Nginx relay servers, and Windows agents. The skill also covers communication profiles and operational precautions for running the infrastructure.
- Preparing Havoc infrastructure for an authorized exercise
- Reviewing server and traffic relay separation
- Configuring communication profiles for an exercise
mukul975/Anthropic-Cybersecurity-Skills☆ 34.7KUpdated Aug 31, 2026
Integrate USDC payments into AI agents on Base L2. Guides setup for earning or paying, generates tailored code, and verifies configuration, covering escrow that holds funds until delivery and instant payments for HTTP requests.
- Building an agent that charges USDC for services
- Paying another agent for a specific service
- Trying payment flows in a local simulation
davila7/claude-code-templates☆ 32.8KUpdated Oct 20, 2026
Manage complex software and SaaS projects by assessing schedules, budgets, quality, risks, and team capacity. Compare priorities across projects, identify resource constraints, and turn portfolio analysis into executive reports with recommendations for decisions and follow-up.
- Review progress and health across multiple projects
- Assess risks and prioritize response actions
- Rebalance staffing based on team capacity
alirezarezvani/claude-skills☆ 28.4KUpdated Aug 30, 2026
Plan authorized security exercises that simulate attackers reaching important assets. Organize techniques into attack stages, rank effort and detection risk, identify shared points across attack paths, and use findings to assess detection and response coverage.
- Plan a security exercise with written authorization
- Compare attack paths to critical assets
- Find shared attack steps to prioritize monitoring
alirezarezvani/claude-skills☆ 28.4KUpdated Aug 30, 2026
Maintain existing Handsontable browser tests built with Jasmine and Puppeteer. Covers asynchronous operations, simulated user input, assertions that work across themes, targeted test runs, and guidance for moving broken or unreliable tests to Playwright.
- Updating an existing Jasmine browser test
- Fixing assertions that fail under different themes
- Checking simulated mouse, keyboard, and touch input
handsontable/handsontable☆ 22.1KUpdated Oct 20, 2026
Stress-test a paper with a focused rejection argument, then have a separate reviewer assess each objection against the current text. The report identifies unresolved weaknesses, their severity, and priority fixes for submission or rebuttal preparation.
- Stress-testing a theory paper before submission
- Preparing responses to the strongest reviewer objection
- Checking whether the title overstates the results
wanshuiyin/Auto-claude-code-research-in-sleep☆ 17.8KUpdated Oct 19, 2026
Import FBX 3D models into CARLA on UE 5.8 and register them as props that can be placed in a simulation. Check measured dimensions, adjust scale, verify placement on a running server, and undo imports when needed.
- Add a custom bench or object to CARLA
- Fix imported props missing from the blueprint library
- Import a folder of props organized by tag
carla-simulator/carla☆ 14.5KUpdated Oct 20, 2026
Change weather on a running CARLA simulation server using requests such as heavy rain at sunset or a foggy night. The skill maps words to presets or exact parameters, applies them, and reads back the resulting settings.
- Setting heavy rain at sunset
- Creating a calm, foggy night scene
- Adjusting only the sun's height
carla-simulator/carla☆ 14.5KUpdated Oct 20, 2026
Explore roads, lanes, and junctions in a CARLA simulation map through text reports and visual overlays. Locate places described in everyday language, inspect nearby lane details, and trace a path forward or backward along a lane.
- Understand a map's road and lane layout
- Compare the road network overlay with visible roads
- Locate the four-way junction nearest the map center
carla-simulator/carla☆ 14.5KUpdated Oct 20, 2026
Control traffic lights in a running CARLA simulation. Change their color, switch them off, hold a fixed state, adjust phase durations, or restore normal cycling, targeting individual lights, junctions, nearby lights, or the whole map.
- Holding every traffic light green
- Setting one junction's lights to red
- Shortening traffic-light cycles
carla-simulator/carla☆ 14.5KUpdated Oct 20, 2026
Inspect a running CARLA simulation and identify vehicles or pedestrians by type, role, color, or proximity. Retrieve their IDs, scene snapshots, static object bounds, ground positions, and expected ROS 2 topics with reasons for missing publications.
- Find the red Prius and retrieve its actor ID
- Identify the pedestrian nearest the ego vehicle
- Inspect scene state and ground height
carla-simulator/carla☆ 14.5KUpdated Oct 20, 2026
Validate and run OpenSCENARIO traffic scenarios through ScenarioRunner. Check file structure, maps, vehicle definitions, and supported features before simulation. Run both .xosc and .osc files, with global parameter overrides available for OpenSCENARIO 1.x.
- Validate and run an .xosc file from another tool
- Compare runs with different speed parameters
- Explore bundled OpenSCENARIO 2.0 examples
carla-simulator/carla☆ 14.5KUpdated Oct 20, 2026
Run Scenic traffic scenarios on a CARLA server. First test whether a valid scene can be generated, then simulate with limits on runs and steps, record the outcome, and restore the world's asynchronous setting afterward.
- Check a CARLA setup with carlaChallenge1
- Diagnose scenarios that reject every generated scene
- Check which challenge scenarios can run
carla-simulator/carla☆ 14.5KUpdated Oct 20, 2026
Read CARLA Leaderboard result files to understand driving scores, route completion, and penalties. Investigate low scores, compare two runs, merge split results, or recalculate scores under version 2.0 or 2.1 rules without rerunning the simulation.
- Understand driving scores and entry eligibility
- Investigate low scores using route details
- Recalculate results under another version's scoring rules
carla-simulator/carla☆ 14.5KUpdated Oct 20, 2026
Guide an AI agent through ClawWork, an economic survival simulation where task rewards must cover API token costs. Defines a daily choice between work and learning, artifact submission, knowledge storage, and priorities based on the remaining balance.
- Choose work or learning based on the remaining balance
- Create and submit task artifacts for evaluation
- Save research findings to persistent memory
HKUDS/ClawWork☆ 8.6KUpdated Mar 4, 2026