Results for “execution”

Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers. Use when: inngest, serverless background job, event-driven workflow, step function, durable execution.

Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers. Use when: inngest, serverless background job, event-driven workflow, step function, durable execution.

Inngest expert for serverless-first background jobs, event-driven workflows, and durable execution without managing queues or workers. Use when: inngest, serverless background job, event-driven workflow, step function, durable execution.

Run interpretability experiments on neural network internals using nnsight, with optional NDIF remote execution for massive models.

Analyzes codebases to understand existing features, tracing entry points, execution paths, architecture layers, patterns, and dependencies before new development.

Provides a SQLite-backed persistence layer for skill execution metrics, feedback, improvement candidates, and version history, with query and maintenance workflows.

Write a markdown plan to .hermes/plans/; no execution.

Write a markdown plan to .hermes/plans/; no execution.

Manage n8n workflows, executions and credentials via REST API

Audit and harden AWS Lambda execution roles by implementing least-privilege IAM policies, permission boundaries, and SCP enforcement.

Optimizes SQL queries, designs database schemas, and troubleshoots performance issues using execution plan analysis, indexing strategies, and set-based operations.

Discovers and invokes external APIs and tools dynamically through the QVeris service, using natural-language capability searches and parameterized execution.

Connects to and manages remote servers over SSH using the paramiko Python library, supporting command execution, software installation, and log viewing on Windows and Linux.

Runs kubectl and helm commands with kubeconfig injection, emphasizing parallel execution, JSON output with jq filtering, and batch operations for efficient cluster management.

Builds, validates, schedules, and dynamically modifies DAG execution graphs. Decomposes problems into nodes with dependencies, performs topological sorting, detects cycles, resolves conflicts, and schedules wave-based parallel execution. Use when designing a DAG structure, validating dependencies, planning execution order, or modifying a DAG at runtime. Activate on "build DAG", "plan workflow", "DAG dependencies", "topological sort", "schedule execution", "modify DAG", "replan". NOT for executing DAGs (use dag-runtime), validating outputs (use dag-quality), or matching skills to nodes (use dag-skills-matcher).

Design multi-agent system architectures, generate tool schemas for Anthropic and OpenAI formats, and evaluate execution logs for cost, latency, and failure bottlenecks.

Hunt for Mimikatz execution using command-line patterns, LSASS access signatures, binary indicators, and in-memory detection of known modules.

Optimizes database queries and improves performance across PostgreSQL and MySQL systems by analyzing execution plans, designing index strategies, and tuning configurations.

Provides a local-first agent framework for observable execution, composable tool use, and multi-agent orchestration with policy-guarded execution.

Authenticate, browse pipelines, samples, and projects, upload data, launch pipeline executions, and check run status on any Flow.bio instance via CLI.

Socratic deep interview with mathematical ambiguity gating before execution

Always start with EXPLAIN ANALYZE to understand execution:

Reviews closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns.

Decomposes an approved specification into dependency-aware waves and atomic executable tasks with exact file scope, test-first actions, verification commands, and an execution gate.

Creates a machine-readable phased JSON plan bundle from a spec or feature description, producing a compact master manifest plus per-phase step files for resumable execution.

Explains how to define and use tools with the Claude API, including tool schemas, tool choice, and server-side tools for code execution and web search.

Manage and analyze Xray test plans, executions, and coverage within Jira, including test case management, Cucumber integration, and CI/CD result import.

ISO 13485 internal audit expertise for medical device QMS. Covers audit planning, execution, nonconformity classification, and CAPA verification. Use for internal audit planning, audit execution, finding classification, external audit preparation, or audit program management.

Deployment command for production releases. Pre-flight checks and deployment execution.

Full autonomous research workflow using swarm mode for parallel execution

Hunt for adversary persistence and execution via Windows scheduled tasks by analyzing task creation events, suspicious task properties, and unusual execution patterns.

Design multi-agent systems with context isolation, supervisor or swarm coordination, explicit handoffs, parallel execution, and decision frameworks for when multiple agents are justified.

Build multi-agent conversation systems with AutoGen, including two-agent chats, group chats, function calling, and nested conversations with code execution and human-in-the-loop options.

Socratic deep interview with mathematical ambiguity gating before explicit execution approval

Queue additional MoonMind workflows from inside an existing workflow by submitting explicit `/api/executions` requests, applying stable idempotency, verifying every returned `workflowId` with the execution API, and writing a durable queue summary. Use when a workflow needs to fan out follow-up MoonMind executions, create child implementation workflows, replace local task-list or manifest-only handoffs, or prove that downstream workflows were actually queued.

Transforms a raw product idea into four planning files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with kill criteria.