HUMANERD
Official@humanerd-drew · Korea, South
Specialized in autonomous agent governance, multi-model orchestration, and filesystem-based knowledge management for enterprise-grade software development and content operations.
Agent Skills by HUMANERD
Showing 157 vetted skills indexed across 1 GitHub repositories.
humanerd-drewsession-pattern-archiver
Archive Discord session patterns to Obsidian using Python.
humanerd-drewvault-health
Detect and fix broken links in an Obsidian vault.
humanerd-drewskill-gym
Analyze skill usage data from state.db and Drewgent vault to recommend activations and deletions.
humanerd-drewHarsh Critic — Completion Bias Defense
Checks LLM-generated outputs for five types of completion biases.
humanerd-drewbrain-dashboard-system
Monitor and visualize NeuronFS Brain state with ASCII and HTML dashboards.
humanerd-drewtrend-harvester
Collect GitHub trending repositories and score them with a 5-axis philosophy filter.
humanerd-drewsemblent-search
Search codebases by natural language queries using semantic analysis.
humanerd-drewtool-integration-protocol
Standardize new tool integration into the Drewgent AI agent with automated checks.
humanerd-drewgoose-acp-integration
Integrates Drewgent with ACP agents for task execution and interoperability via Rust provider implementation.
humanerd-drewqa-scenario-gen
Generate test scenarios and acceptance criteria from user requirements.
humanerd-drewqa-cycle
Implement a contract-first QA pipeline with micro- and full-verification phases.
humanerd-drewself-replicating-agent-tdd
Develop self-replicating agents using TDD and PDCA cycles on Drewgent.
humanerd-drewbrain-signal-system
Implement an event bus and signal processing system for AI agent brain monitoring.
humanerd-drewharvester-memory-sync
Synchronize trend analysis outputs to an AI agent's long-term memory.
humanerd-drewtaste-review
Identifies and extracts actionable taste decisions from high-quality tools in trend lists.
humanerd-drewnas-synology-ssh-automation
Automates SSH read-only inspections and supervised destructive tasks on Synology NAS devices.
humanerd-drewneuron-fs-brain
Manage filesystem-based AI governance through a 7-layer brain architecture.
humanerd-drewcron-jobs-stalled
Diagnose stopped cron jobs in jobs.json and apply recovery fixes.
humanerd-drewquartz-remove-drafts-customization
Customize Quartz filters to exclude Markdown drafts without status markers.
humanerd-drewfilesystem-truth-audit
Validate filesystem paths claimed in memory against actual state.
humanerd-drewseo-audit
Audits websites for SEO and GEO performance using AI search engines and Python modules.
humanerd-drewkanban-dispatcher-stalled
Diagnose Kanban Dispatcher issues across launchd, jobs.json, and cron outputs.
humanerd-drewkanban-worker
Automate task acquisition, progress reporting, and completion tracking on Kanban boards.
humanerd-drewyuanbao
Mention users and query group information within Yuanbao groups.
Frequently Asked Questions About HUMANERD
FAQPage SchemaWhat specific tasks can be managed using these agentic capabilities?▼
These capabilities enable autonomous task acquisition, multi-model deliberation, cost-optimized LLM routing, and contract-first verification. You can manage complex project lifecycles, synchronize long-term memory across distributed systems, and perform automated codebase refactoring with verified incremental changes.
Which technical personas benefit most from this registry?▼
This registry is designed for AI architects, systems engineers, and technical leads focused on building robust, self-governing agentic systems. It is ideal for developers managing large-scale knowledge vaults, multi-model deployments, and complex infrastructure-as-code environments requiring strict governance.
What are the primary prerequisites for implementing these agentic systems?▼
Implementation requires a POSIX-compliant environment, specifically macOS for native launchd and filesystem operations. Core dependencies include a configured Obsidian vault for knowledge state, Docker for containerized services, and access to standard model providers via supported MCP or REST interfaces.