Mark393295827

agent-teams-command

Command multi-agent work with bounded roles, ownership, integration gates, and verification loops. Use when the user needs Claude Code Agent Teams, parallel agents, delegation strategy, or multi-agent orchestration.

agentic-engineering

Design or refactor agent skills, workflows, and operating loops for model-native Agentic Engineering. Use when making skills more autonomous, concise, verifiable, long-horizon capable, token-efficient, and lower-friction for human-LLM collaboration.

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.

Web & Frontend Solid

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.

Code & Development Solid

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 daily knowledge compound closed loop — 7 Key Results from input to feedback with scoring. Use when the user wants to do a daily review, plan their day, or run a knowledge workflow.

deep-research

Multi-source deep research — search, synthesize, and deliver cited reports. Use when the user wants thorough research on any topic with evidence and citations.

DevOps & Infrastructure Solid

harness-engineering

Design runtime infrastructure around AI agents — permissions, tools, feedback loops, observability. Use when deploying agents to production or designing multi-agent systems.

knowledge-ops

Manage a multi-layered knowledge system — ingest, organize, deduplicate, vectorize, sync, and retrieve across wiki files, vector DB, memory, and external stores. Use when the user wants to save, organize, sync, search, or scale their knowledge base.

project-flow-ops

Operate execution flow — triage tasks, manage priorities, keep progress structured. Use when the user needs backlog control, task planning, or workflow coordination across projects.

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.

wiki-ingest

Ingest articles, PDFs, videos, transcripts, and notes into a persistent interlinked knowledge wiki. Use when the user wants source notes, entity pages, concept pages, navigation updates, or STOW processing.

Code & Development Solid

wiki-lint

Health-check the knowledge wiki — find orphans, broken links, missing frontmatter, contradictions, stale content, and statistical drift. Use when the user says "lint the wiki", "health check", or periodically for maintenance.