Mark393295827.

agent-teams-command

Command V6 multi-agent work with bounded roles, ownership, worktree isolation, IPC, integration gates, cleanup, attention budgets, and verification loops. Use when the user needs Claude Code Agent Teams, parallel agents, delegation strategy, Ender-style commander training, von Neumann-style command architecture, Palantir-style ontology command boards, FDE field discovery, EDD integration gates, dynamic workflow tradeoffs, or multi-agent orchestration grounded in Obsidian wiki operating rules.

ai-six-sigma-property-os

Design an AI Six Sigma Black Belt operating model for property service, maintenance dispatch, environmental testing, quote generation, CRM follow-up, and workflow quality dashboards. Use when the user needs a Property Agent OS, AI + Ontology + DMAIC management system, CTQ metrics, agent-team roles, work-order states, or MVP roadmap for operations quality.

anthropic-os

Improve a personal or team operating system with self-evolving loops, CASH allocation, 3B creativity, predictive coding, and diagnostics. Use when the user wants to redesign a work method, learning loop, or cognitive operating system.

behavior-design

Design a behavior change system — decompose a goal into minimum habits, define triggers, build SOPs, and set up review cycles. Use when the user wants to build a habit, change behavior, or achieve a personal goal.

cognitive-compile

Deep learning compile framework — transforms raw information into actionable judgment. Use when the user wants to deeply understand a topic, not just capture it.

context-manager

Manage the LLM's context window — token budgeting, prompt assembly, truncation strategies. Use when approaching context limits or optimizing prompt costs.

creativity-engine

Generate, validate, and output new ideas based on existing knowledge. Combines combinatorial creativity, cross-domain analogy, and minimum experiments. Use when the user wants fresh ideas, new product concepts, or creative solutions.

daily-okr

Execute a V6 daily knowledge compound closed loop — 7 Key Results from input to feedback with scoring, evidence, wiki write-back, and optional scheduled Obsidian daily-loop note. Use when the user wants to do a daily review, plan their day, run a knowledge workflow, or complete the generated daily knowledge-management loop.

loop-engineering

Turn a repeatable task into a bounded, evidence-driven agent loop. Use when Codex needs to decide whether a task merits a Goal, Loop, Automation, or AutoResearch pattern; define a loop contract; check trigger/state/tools/codebase readiness; choose single-agent versus maker-checker versus manager-workers topology; prevent runaway iteration; or repair a loop that stalls, self-grades, exceeds review budget, or writes without verified evidence.

session-learn

Extract reusable knowledge from a work session and save concepts, entities, corrections, patterns, ideas, decisions, and gaps to the wiki. Use when ending a session or when the user says to extract knowledge.

startup-evaluation

Evaluate startup health using entrepreneurship, VC, and execution frameworks. Use when assessing a startup idea, company, pitch, due diligence target, fundraising readiness, or business model health.

verify-before-claim

Iron rule — no completion claims without fresh verification evidence. Use whenever about to claim work is done, fixed, working, or passing. Run verification commands and show output before making any success statement.