2.3K skills ・ Works with: AWS · sorted by popularity
Build AWS applications with managed services that reduce server administration. Follow patterns for Lambda functions, HTTP APIs, database access, and queued background processing, with guidance on deployment and delays when functions first start.
Create and refine draw.io diagrams by editing XML files, adjusting labels, arrows, and spacing, and using AWS icons. Export transparent PNG images for slides, with guidance for readable Japanese text and consistent layouts.
Build or rewrite resume sections for a target role and career stage. Get tailored summaries, organized skills, achievement-focused experience entries, and guidance on education, optional sections, and the order in which to present them.
Improve resume layouts with consistent fonts, spacing, section order, and clear headings. The skill recommends formatting that supports quick reading by recruiters and text parsing by applicant tracking systems, with guidance on file formats.
Improve resumes for software engineering, technical product management, data, and DevOps roles. Organize technical skills, connect achievements to business results, and highlight projects in a format suited to applicant tracking systems, software used to process job applications, and recruiters.
Compare a job posting with your experience to score how well the requirements match. Identify strengths, missing qualifications, and potential concerns, then plan application priorities, resume adjustments, and points to address in a cover letter.
Guides setup and operation of Lambda Labs GPU instances for machine learning training and inference. Covers SSH access, persistent storage, API automation, and multi-GPU or multi-node training, including how to retain checkpoints and terminate idle instances.
Design and implement machine learning systems for production use. Cover data preparation, training, prediction services, model comparisons, monitoring, and retraining, with attention to reliability, response time, resource costs, and both technical and business evaluation metrics.
Configure machine learning training and batch jobs across multiple clouds with SkyPilot. The skill guides GPU selection, lower-cost cloud and region choices, and automatic recovery when discounted spot instances are interrupted.
Coordinates specialist agents in Claude Code to work from product requirements through design, implementation, testing, deployment, and operations. Includes task queues, saved progress, parallel reviews, and recovery workflows for managing extended development work.
Adapt machine learning training to run across multiple GPUs or machines with Ray Train. Covers changes to existing code, comparing training settings with Ray Tune, and saving checkpoints so training can resume after failures.
Design and implement systems that collect, transform, validate, and store data for analysis. Covers scheduled and real-time processing, data warehouses, quality checks, monitoring, and cost tuning using tools such as Apache Spark, dbt, and Airflow.
Analyze business data, test hypotheses, and build predictive models with statistical and machine learning methods. Get support across data exploration, experiment design, visualization, result validation, and planning model deployment and monitoring.
Prepare training datasets for large language models with GPU-assisted cleaning. Covers duplicate removal, quality filtering, and personal information redaction, with workflows for text, images, video, and audio using NeMo Curator.
Connect cognee to model providers, databases, storage services, and development tools. Guides configuration of language models and embeddings, the numerical representations used for search, including the separate settings each requires.
Analyze large logs, test results, API responses, and files outside the conversation, then return focused findings. It guides agents to save, process, index, and search outputs while limiting how much raw data enters their working context.
Build custom video calling experiences with Zoom Video SDK. The skill guides session joining, audio and video control, participant event handling, and custom interfaces, with references for web, mobile, and desktop implementations.
Implement Zoom webhooks, HTTP notifications sent when events occur, such as meetings starting or recordings becoming available. Use reference guidance for event selection, subscriptions, signature verification, endpoint validation, delivery handling, and retries.
Helps plan Zoom integrations by comparing APIs, SDKs, app types, authentication, and permissions. Guides the choice between repeatable API automation and MCP, a protocol for connecting AI agents to tools, and identifies relevant implementation skills.
Guide server-side Zoom integrations using Zoom Rivet SDK in JavaScript or TypeScript. Consult patterns for authentication, incoming event notifications, typed API calls, multiple modules, and webhook processing on AWS Lambda.
Review a vendor’s agreements across connected contract systems, customer records, email, document storage, and chat. Consolidate signing status, key terms, missing agreements, renewal deadlines, and obligations that may continue after expiration into one report.
Turn repeated workflows into reusable Picoclaw skills, or update and review existing ones. Organize SKILL.md instructions, scripts, reference documents, and output assets, then check the structure and test representative tasks.
Set up, debug, and extend PicoClaw using its own commands and configuration structure. Get guidance on model authentication, external tool connections, scheduled tasks, and how conversations are routed and stored.
Deploy FastGPT on your own server using its official installation script and Docker Compose, which runs its services together. Check service health and access, investigate deployment problems, and receive the access URL, initial login details, and next steps.