AI Agent Skills

Analyzes market dynamics and go-to-market strategies using "Distribution First" architecture.

Automates the complex setup of parallel git worktrees for agentic swarms with dependency-aware wave execution.

Master trigger to deploy the 16-agent marketing team built in .agent/swarms/marketing_team/.

Enforces strict, atomic commit hygiene. Splits large diffs into logical, revertible units.

Scrapes a URL, runs Lighthouse equivalent checks, and outputs a strategic content/architecture plan.

Unified business model evaluator, client filter, pricing engine, and distribution architect. Absorbs 31 business + 8 marketing + 13 content + 2 acquisition protocols.

Interrogates the user to build a complete design specification before writing any code. Prevents "vibe coding" failures.

Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.

Wraps the browser tool into a dedicated visual QA testing skill for frontend work.

Unified trade execution suite: Half-Kelly sizing, stop-loss calculation, Monte Carlo simulation, and portfolio rebalancing. Absorbs: kelly-mandate, stop-loss-calc, monte…

Revise scientific manuscripts or a single section such as the Abstract, Introduction or Discussion, make a technical draft readable for scientists outside the field, imp…

Reviews a concrete implementation plan for missing decisions, feasibility and risk before execution; read-only.

Commits, pushes and remotely verifies authorized repository changes; does not create releases.

Prepares and publishes an explicitly requested tagged GitHub release; does not deploy applications.

Prepares CI/CD and remote infrastructure, then executes authorized rollouts with health and recovery checks; not standalone local container packaging.

Creates project technical rules and recurring local procedures from the actual stack; edits guidance only, not architecture targets or application code.