Results for “distributed-checkpoint”

Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with DeviceMesh.

Design scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues.

Create repository-adaptive checkpoint commits for coherent work, including requests to split changes into commits and push; publication remains separately authorized

etcd distributed key-value store reference. Backbone of Kubernetes. Covers key-value operations, watch for real-time updates, leases with TTL, atomic transactions, cluster setup, backup/restore, authentication, TLS, and Prometheus monitoring.

Scales pandas and NumPy workflows to datasets larger than memory using parallel and distributed computing, with support for dataframes, arrays, bags, and custom task graphs.

Designs distributed system architectures, decomposes monoliths into bounded-context services, recommends communication patterns, and produces service boundary diagrams and resilience strategies.

Distributed control system manager

Build stateful, coordinated applications on Cloudflare's edge using Durable Objects with SQLite storage, RPC methods, alarms, and WebSockets.

Run static BSP checks and on-target smoke/regression tests on a flashed NVIDIA Jetson device to validate a customized BSP image.

Deploy DefectDojo as a centralized vulnerability management dashboard with scanner integrations, deduplication, metrics tracking, and Jira ticketing workflows.

User Request

Detect DCOM-based lateral movement by correlating Sysmon process creation and network connection events, WMI event analysis, and RPC endpoint mapper traffic to identify abuse of MMC20.Application, ShellBrowserWindow, and ShellWindows COM objects.

Guides setup and operation of the aws_dynamodb_cdc input in Redpanda Connect, which streams change data capture from AWS DynamoDB into Redpanda or Kafka using DynamoDB Streams. Covers enabling streams, IAM policies, checkpoint tables, snapshot modes, table discovery, and operational constraints.

Audits a project's developer experience by scoring devcontainer, git hooks, linting, build caching, environment setup, and release pipeline, then generates a DX health report with prioritized recommendations.

Adaptive, resumable Git delivery across repositories and agent runtimes — probe policy, checkpoint coherent work, publish, review, integrate, and verify cleanup

etcd distributed key-value store reference. Backbone of Kubernetes. Covers key-value operations, watch for real-time updates, leases with TTL, atomic transactions, cluster setup, backup/restore, authentication, TLS, and Prometheus monitoring.

For analysis/task/review agents using a Professional Skill on batch, stream, warehouse, lineage, replay, or data quality; not for transactions without distributed-data impact.

Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.

Streams change data capture events from a TigerBeetle financial transactions database into Redpanda or Kafka using the tigerbeetle_cdc input, with checkpointing, filtering, and routing guidance.

Build a comprehensive catalog of API endpoints including documented, undocumented, shadow, zombie, and deprecated APIs using passive traffic analysis, active scanning, DNS enumeration, JavaScript analysis, and cloud resource inventory.

Discover and use DFlow documentation, Agent CLI, Trading API, Metadata API, Proof KYC, prediction markets, and the hosted DFlow docs MCP. Use before implementing DFlow features or when field-level endpoint details are needed.

Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

Reviews authorized diffs for auth, input, filesystem, network, secrets, parsers, injection, CI/CD, and supply-chain regressions.

Deploys endpoint Data Loss Prevention (DLP) controls to detect and prevent sensitive data exfiltration through email, USB, cloud storage, and printing using Microsoft Purview or Symantec DLP.

Git-level WIP safety net. Stashes uncommitted work, tags, and pushes to remote

Streams change data capture from Microsoft SQL Server into Redpanda or Kafka using Redpanda Connect's microsoft_sql_server_cdc input, covering setup, configuration, and troubleshooting.

Active Directory security audit using the MITRE ATT&CK framework. Full domain enumeration, trust mapping, GPO analysis, ACL abuse paths, ADCS attacks (ESC1-ESC8), delegation abuse (constrained/unconstrained/RBCD), fine-grained password policies, LAPS deployment, service account security, and Kerberos configuration. Uses enum4linux-ng, netexec, impacket, ldapsearch, certipy-ad, bloodhound-python, and rpcclient. Produces attack path diagrams, prioritized risk register, and PoCs. Chains into /gh-export for issue filing.

Agent C3 - Mixed Methods Design Consultant Comprehensive mixed methods research design specialist covering sequential, concurrent, embedded, and multiphase designs with Morse notation. Core Capabilities: - Sequential Explanatory (QUAN → qual): Explain quantitative results - Sequential Exploratory (QUAL → quan): Develop instruments - Convergent Parallel (QUAN + QUAL): Comprehensive understanding - Embedded (QUAN(qual)): Secondary strand addresses different question - Multiphase: Long-term projects with iterative phases - Morse notation interpretation and recommendation

Enhances plain-language requests into structured, reviewable prompts and inspects a self-hosted MCP gateway with provider-free defaults.

Data Version Control for ML projects. Track large datasets and models alongside Git, build reproducible ML pipelines, and run experiments with metric comparison. Works with any storage backend including S3, GCS, Azure, and local filesystems.

Domain-Driven Design patterns. Bounded contexts, aggregates, entities, value objects, domain events, repositories, and application services. Strategic and tactical DDD for complex business domains. USE WHEN: user mentions "DDD", "Domain-Driven Design", "bounded context", "aggregate", "value object", "domain event", "ubiquitous language", "aggregate root", "domain service" DO NOT USE FOR: database schema design - use database skills; CQRS/Event Sourcing specifics - use `event-sourcing-cqrs`

Write idiomatic Elixir code with OTP patterns, supervision trees, and Phoenix LiveView. Masters concurrency, fault tolerance, and distributed systems.