1mancompany
OrganizationBuild Your Agent Company with OMC
Categories
Indexed Skills (6)
proactive-agent
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer for context survival, Compaction Recovery, and battle-tested security patterns. Part of the Hal Stack 🦞
self-improving-agent
A universal self-improving agent that learns from ALL skill experiences. Uses multi-memory architecture (semantic + episodic + working) to continuously evolve the codebase. Auto-triggers on skill completion/error with hooks-based self-correction.
multi-channel-communications
Manage conversations across 20+ messaging platforms via OpenClaw gateway
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linking related objects, enforcing constraints, planning multi-step actions as graph transformations, or when skills need to share state. Trigger on "remember", "what do I know about", "link X to Y", "show dependencies", entity CRUD, or cross-skill data access.
work-principles
Core work principles from CEO guidance
task_lifecycle
Task lifecycle state machine — states, transitions, and task tree model. Use when you need to understand task states, dispatch subtasks, or review completions. Do NOT use for domain-specific procedures — this only covers the universal state machine.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.