Search Results

Expert code review specialist. Reviews code for quality, security, and maintainability. Should be used for all code changes.

Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.

Quality gates, eval checkpoints, and recovery controls for continuous autonomous agent loops. Patterns for safe loop operation with stall detection and intervention hooks.

Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, t...

Autonomous agent loop architectures from simple to complex: sequential pipelines, infinite agentic loops with quality gates, continuous PR loops with CI gates, de-sloppify cleanup passes, and RFC-driven multi-agent DAG orchestration with merge queues.

Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation c...

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Write-time code quality enforcement using Plankton: auto-formatting, linting, and Claude-powered fixes on every file edit via hooks.

Quality management system patterns: nonconformance reporting, CAPA workflows, root cause analysis, disposition tracking, supplier quality management, and audit trail generation for ISO 9001 and regulated manufacturing.

RFC-driven multi-agent DAG execution: quality gates, merge queues, work unit orchestration, and structured parallel development.

Generates structured RFP/RFI responses from knowledge bases. Covers compliance matrix population, win theme integration, and response quality scoring.

Audit skill and command libraries for quality: quick scan mode for changed skills, full stocktake with sequential subagent batch evaluation, quality scoring, and gap analysis.

Quality gates and stall detection for autonomous loops

Write-time formatting, linting, AI fixes

NCR, CAPA, root cause analysis, ISO 9001

Quality gates, merge queues, work units

Quality audit of skill and command libraries