po4yka/llm-wiki-skills
Learn and choose
Explain the LLM-Wiki pattern, answer evidence-backed adoption questions, track current ecosystem changes, map PAF Nexus/Cortex adoption, keep the wiki human-first, and help users choose a ready-made or custom solution.
Technology landscape
Map concrete implementations, implementation archetypes, retrieval stacks, ingestion tools, MCP/API integration, and evaluation/security tooling for LLM-Wiki systems.
Diagnose, plan, and evaluate
Inspect existing vaults, plan migrations, evaluate usefulness, audit criticism risk, benchmark pilots, and repair trust-critical gaps before large changes.
Implement and migrate
Set up, customize, and migrate documents into local-first or team LLM-Wiki systems.
Capture and domain workflows
Map company information flows, build capture pipelines, interview users for tacit knowledge, maintain decision memory, and generate domain-specific wiki packs.
Operate and trust
Run triage, ingest, query, lint, trust-audit, source-refresh, privacy, threat-model, security, model-policy, archive, and publishing workflows.
Skill and memory governance
Review, compile, and govern Agent Skills, team operating models, self-hosted GitLab workflows, and decide what belongs in skills, agent memory, instruction files, or the wiki.