execution-mode
Set or report the reproducibility mode governing how AIWG workflows execute, from standard to fully auditable
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Set or report the reproducibility mode governing how AIWG workflows execute, from standard to fully auditable
Orchestrate autonomous issue-to-code implementation using existing tools and agents with bounded iteration
Disable the AIWG context hook without uninstalling AIWG or deleting hook files
Enable the AIWG context hook in platform context files without re-deploying
Orchestrates issue-driven agent loops that post cycle status to issue threads and incorporate human feedback in each cycle.
Manage bounded iteration loops for autonomous implementation — track retries, synthesize failure feedback, and escalate when limits hit
AUTO-INVOKE when user mentions knowledge base, wiki, KB, semantic memory, llm-wiki, knowledge ingest, document corpus. Knowledge-base framework quick reference — discovery phrases for KB ingest/health, semantic-memory kernel skills, llm-wiki profiles.
Use when a user wants to build an LLM4AD_Next task package — a runnable directory that lets the LLM4AD platform evolve an algorithm for their problem. Covers what files a task package contains, each file's contract, and how the package is run on the LLM4AD platform.
Ingest a source into any consumer's semantic memory by reading the topology contract