Deep codebase analysis to discover actual coding standards through statistical evidence. Use when analyzing naming conventions, import patterns, or detecting anti-patterns in existing code. Provides evidence-based detection of how the codebase actually works (not aspirations).
**CODEBASE GRAPH v1.0** - '의존성', '그래프', '코드베이스 분석', '함수 관계', '모듈 관계', '아키텍처 분석', 'import 분석' 요청 시 자동 발동. 프로젝트 시작 시 자동 생성. 온톨로지 기반 코드 지식 그래프로 함수→함수, 모듈→모듈 관계를 Edge로 연결. 토큰 72% 절감, 정확도 92% 달성.
Single source of truth and librarian for ALL OpenAI Codex CLI documentation. Manages local documentation storage, scraping, discovery, and resolution. Use when finding, locating, searching, or resolving Codex CLI documentation; discovering docs by keywords, category, tags, or natural language queries; scraping from llms.txt; managing index metadata (keywords, tags, aliases); or rebuilding index from filesystem. Run scripts to scrape, find, and resolve documentation. Handles doc_id resolution, keyword search, natural language queries, category/tag filtering, alias resolution, llms.txt parsing, markdown subsection extraction for internal use, hash-based drift detection, and comprehensive index maintenance.
Build React applications with CopilotKit and LangGraph for AI-powered collaborative editing. Creates production-ready editor applications (text, document, or node-based) with real-time AI assistance, shared state management, and agentic workflows. Use this skill when users want to build intelligent editing interfaces with AI collaboration features.
Develop and modify the AILANG Collaboration Hub UI. Use when user asks to add features to the monitoring dashboard, modify the approval queue, update the message center, or make changes to the React frontend.
Color palette generation, contrast checking (WCAG), color space conversion, and color harmony tools. Ensures accessible and visually appealing color systems. Use when designing color schemes, checking accessibility, or creating design tokens.
Master color management and visual styling with Colorcet. Use this skill when selecting appropriate colormaps, creating accessible and colorblind-friendly visualizations, applying consistent themes, or customizing plot aesthetics with perceptually uniform color palettes.
This skill provides systematic fact-checking, source verification, and quality assurance methodologies for competitive research deliverables. It works as a companion to the competitive-research-bright
A strategic analyst who maps competitive spaces to reveal positioning opportunities, white space, and differentiation strategies. Creates "you are here" maps in crowded markets.
This skill provides enterprise consulting-grade methodologies for conducting comprehensive company research, competitive analysis, and market intelligence using Bright Data's professional search and w
Analyze competitor's ad strategy by researching their Facebook Ad Library presence, TikTok Top Ads, identifying longest-running ads (likely winners), and extracting angles, hooks, and frameworks. Use when entering a new market, researching what's working, or building competitive intelligence.
ZSH completion system patterns and conventions. Use when implementing custom completion handling, writing completion files, or working with zsh autocomplete. Do not use when installing packages from homebrew, since that typically installs completions automatically.
Handle complex-valued tensors in PyTorch for astronomical imaging applications. This skill should be used when working with Fourier transforms, phase/amplitude representations, and complex arithmetic in PRISM.
Expert knowledge for implementing distributed sagas in Composable Rust. Use when coordinating multiple aggregates in distributed transactions, implementing compensation logic or rollback flows, working with EventBus trait or Redpanda integration, designing saga state machines, or questions about eventual consistency and distributed transaction patterns.
Data visualization and chart components for Composable Svelte. Use when creating charts, graphs, or data visualizations. Covers chart types (scatter, line, bar, area, histogram), data binding, state-driven updates, interactive features (zoom, brush, tooltips), and responsive design from @composable-svelte/charts package built with Observable Plot and D3.
3D graphics and WebGPU/WebGL rendering with Composable Svelte. Use when building 3D scenes, working with cameras, lights, meshes, materials, or implementing WebGPU/WebGL graphics. Covers Scene, Camera, Light, Mesh components, geometry types (box, sphere, cylinder, torus, plane), material properties, and state-driven 3D rendering.
'Compresses prompts/skills into minimal goal-focused instructions. Trusts the model, drops what it already knows, maximizes action space. Use when asked to compress, condense, or minimize a prompt.'
Set up conditional documentation loading to prevent context pollution. Use when organizing project docs, implementing progressive disclosure, or reducing CLAUDE.md token consumption with on-demand loading.
Help users run better customer and user interviews. Use when someone is preparing for user research, planning discovery interviews, writing interview questions, analyzing interview findings, or trying to understand customer needs.
Universal environment variable loader for AI agent environments. Loads secrets and config from Claude.ai, Claude Code, OpenAI Codex, Jules, and standard .env files.
Use when building a deciduous decision graph to capture design evolution, architecture history, or how a codebase's design changed over time. Provides the deciduous CLI commands and graph structure guidelines.
Identify how consciousness maintains, transforms, and operates itself. Use when diagnosing notion-reality engines, mind projection patterns, ego-sense dynamics, equanimity operations, or inquiry dissolution. Recognize operational patterns in consciousness evolution.
'Automated workflow for generating AI-powered content using agent_codex.py. Handles prompt setup, batch processing, validation, and output management for InsightfulAffiliate and NextGenCopyAI content.'
Handles the publication workflow for AndesRC blog articles. Creates markdown files, triggers builds, submits to Google Search Console, and initiates promotion. Use as the final step in the content pipeline.
Refine verbose educational content by eliminating redundancy, tightening prose, and strengthening lesson connections. Use when content is wordy, repetitive, or lacks narrative flow between sections.
Use when storing decision traces, querying past precedents, or implementing learning loops. Load in COMPLETE state or when needing to learn from history. Covers semantic search with Voyage AI embeddings, ChromaDB for cross-platform vector storage, and pattern extraction from history.