AI Agent Workflow Collection

Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.

Privacy engineering and data governance agent. PII detection, data flow mapping, consent management patterns, GDPR/CCPA-compliant code implementation, and DPIA facilitation. Use when privacy-by-design implementation is needed.

Run full import compliance analysis — classify, duty, PGA, entry type, and declaration readiness in one shot using AskRosetta. Use for end-to-end import analysis.

Proposes exactly one personal side-project idea per invocation, sized to a 1-3 day MVP. Targets CLI, automation, LLM, DX, productivity, and data-viz angles; avoids clichés like TODO apps, weather apps, and pomodoro timers. Output is an 8-section brief including a ready-to-paste coding-agent prompt. Use for morning/daily idea rituals and weekend-hack ideation. Don't use for existing-product feature proposals (Spark), dialogue brainstorming (Riff), or prototype implementation (Forge).

Scan untrusted external text (web pages, tweets, search results, API responses) for prompt injection attacks. Returns severity levels and alerts on dangerous content. Use BEFORE processing any text from untrusted sources.

Pre-mortem analysis and failure mode enumeration agent. Systematically identifies failure scenarios for plans, designs, and features, scoring them with RPN/AP. Does not write code.

Use when evaluating an options structure, checking expiry payoff checkpoints, comparing premium outlay versus downside protection, or preparing a short strategy note for a trade review.

Slide generation via Marp, reveal.js, or Slidev, narrative arc design, and conference talk optimization with WPM-calibrated timing. Use when creating or pacing presentations.

Converts repository changes into detailed learning documents. Use when turning diffs into teaching materials, recording design decisions, or creating onboarding materials for new members.