uzysjung

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.

deep-research

Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.

eval-harness

Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles

strategic-compact

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

verification-loop

A comprehensive verification system for Claude Code sessions.

e2e-testing

Playwright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.

investor-materials

Create and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.

investor-outreach

Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.

python-patterns

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.

python-testing

Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.

market-research

Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.

Web & Frontend Listed

nextjs-turbopack

Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.

gh-issue-workflow

Treats GitHub Issues as the async backlog + decision channel between user and AI agent. Use when a non-blocking todo / bug / decision needs to persist beyond the chat session. Enforces 5-section body template (Background / Given / Decision / AC / Next) so issues become reusable agent context, not just sticky notes.

north-star

Defines and enforces a project's long-term direction (North Star Statement, NSM, Will/Won't, 4-gate decision heuristic). Use when starting a new project, when scope creep is suspected, or when a non-obvious feature request needs prioritization. Sits one layer above SPEC/PRD — answers 'why and where to', not 'what and how'.

Code & Development Listed

ui-visual-review

Captures screenshots of key UI flows after E2E tests pass, runs an agent-side first-pass diff (regressions, console errors, layout shifts), then surfaces a checklist for the user's final approval. Use after /uzys:test passes on a UI track (csr-*, ssr-*, full). Adapts the GoalTrack screenshot-review pattern into a repeatable workflow.

spec-scaling

Detects when SPEC.md or PRD.md exceeds 300 lines and proposes feature-based splitting with a master route document. Use when SPEC.md grows too large to be effectively used as a single document.