Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Govern FriendlyBet agent values, professional standards, anti-hallucination behavior, truthfulness, risk reporting, AI resource discipline, feedback loops, skill improvement, performance reviews, decision-rights hygiene, and team quality. Use when creating, reviewing, promoting, correcting, or retiring agents; reducing hallucinations or mistakes; reviewing AI/tool usage; handling agent incidents; or aligning work with Eyal's philanthropic user-first approach.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Continuous self-improvement through systematic logging, pattern detection, and behavioral updates. Use when: the owner corrects you, a task fails, you discover a better approach, or you notice a recurring pattern. Store raw learnings in .learnings/, update the specific skill or workflow that caused the issue when appropriate, and avoid vague promises to do better.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
NVIDIA RAG Blueprint performance-tuning guidance for profiling retrieval stacks, comparing bottlenecks, and validating latency or throughput improvements.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
two-stage review (spec compliance first, then code quality), refactoring, and quality improvement. Use when reviewing code, eliminating code smells, reducing technical debt, refactoring methods, running self-critique loops, or improving maintainability and readability.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Apply approved Xcode build optimization changes following best practices, then re-benchmark to verify improvement. Use when a developer has an approved optimization plan from xcode-build-orchestrator, wants to apply specific build fixes, needs help implementing build setting changes, script phase guards, source-level compilation fixes, or SPM restructuring that was recommended by an analysis skill.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Discuss a community-edition product requirement with the user, draft a bilingual (Chinese + English) PRD for review, then — after explicit user approval — create the English-only issue on GitHub (<OWNER/REPO>). Use whenever the user wants to turn a requirement (from a Feishu doc, a meeting note, a customer ask, or a rough idea) into a GitHub issue. Triggers on phrases like "create requirement doc", "create a requirement", "put this requirement on GitHub", "create new feature issue", "draft an issue for...", or anytime the user describes a product feature/improvement they want tracked. The format is opinionated (Background / Goal / Spec / Verification / Related, NO implementation details, draft shown bilingually for human review, issue itself written in English only).
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Context-survival and proactive-iteration extensions. Always-on. Covers Working Buffer Protocol, Compaction Recovery, Relentless Resourcefulness, and Self-Improvement Guardrails.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
TLS 1.3 (RFC 8446) is the latest version of the Transport Layer Security protocol, providing significant improvements over TLS 1.2 in both security and performance. It reduces handshake latency to 1-R
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
The NIST Cybersecurity Framework (CSF) 2.0, released in February 2024, provides a comprehensive taxonomy for managing cybersecurity risk through six core Functions - Govern, Identify, Protect, Detect, Respond, and Recover. bu skill covers conducting a maturity assessment against the CSF using Implementation Tiers to measure organizational cybersecurity posture and create improvement roadmaps.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert chaos engineer specializing in controlled failure injection, resilience testing, and building antifragile systems. Masters chaos experiments, game day planning, and continuous resilience improvement with focus on learning from failure.
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Expert in web accessibility, WCAG compliance, screen reader optimization, keyboard navigation, ARIA attributes, and inclusive design. Activates for accessibility improvements, WCAG compliance, a11y audits, and inclusive design tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reviews UI components for WCAG compliance, ARIA attributes, keyboard navigation, and screen reader support. Use when building frontend components or user requests accessibility improvements.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
MUST USE when the user asks to crop, reframe, trim, or improve composition of still photos, especially selected event photos, album photos, portraits, speakers, panels, workshops, or group photos. Use after photo selection or correction when the task is composition improvement rather than selecting images.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
TLS 1.3 (RFC 8446) is the latest version of the Transport Layer Security protocol, providing significant improvements over TLS 1.2 in both security and performance. It reduces handshake latency to 1-R
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Facilitate structured post-incident reviews to identify root causes, document what worked and failed, and produce actionable recommendations to improve future incident response.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Code refactoring strategies, technical debt reduction, architecture modernization, and code quality improvement. Use when refactoring code, modernizing legacy code, reducing complexity, or improving maintainability.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.