architecting-agents
Provides industry-proven design patterns for effective AI agents based on production systems like Claude Code, Manus, and Cursor. Use when designing agent architectures, optimizing context management, or implementing sub-agent patterns.
architecting-memory
Implements progression from Vector RAG → GraphRAG → Temporal Knowledge Graphs. Use when designing persistent memory architectures for AI agent systems.
optimizing-context
Provides unified interface for all context engineering patterns. Use when optimizing AI agent context: compression, degradation detection, KV-cache optimization, or session management.
orchestrating-agents
Implements Orchestrator, Swarm, and Hierarchical patterns for preventing context saturation. Use when designing multi-agent systems for context isolation and parallel execution.
browsing-web
Interactive browser automation using agent-browser. Use when navigating dynamic sites, authentication, clicking, typing, and complex state navigation. Do NOT use for simple read-only text extraction.
crawling-content
High-speed read-only web extraction. Use when fetching documentation, blogs, and static pages. Do not use for apps requiring login or interaction.
testing-e2e
Orchestrates end-to-end testing workflows coordinating browser automation with server verification. Use when validating complete user flows, testing multi-step scenarios, or verifying browser-server integration. Do not use for unit testing, API testing, isolated component testing, or documentation code examples → see generating-tests skill.
adhering-execution-standard
Defines behavioral standards for autonomous agents and enforces Uninterrupted Flow, Self-Verification, Auth-Gates, and Handoff protocols. PROACTIVELY Use when defining behavioral standards for autonomous agents or enforcing protocols. Internal-only reference for agent behavior.
applying-code-standards
Provides Universal Standard for TDD, Security, and Code Quality. PROACTIVELY Use when writing code, debugging errors, or reviewing PRs. Modes: debug, review, refactor, implement.
designing-architecture
Applies system architecture and design frameworks for software systems. Provides discovery protocols, system design workflows, architecture decision records (ADRs), and quality evaluation criteria. PROACTIVELY Use when designing new systems, analyzing existing architecture, or making architectural decisions. Do not use for project plan state management, task execution, or phase coordination → see managing-plans skill.
generating-tests
Follows project conventions, extracts examples from documentation, converts them to tests, and ensures documentation accuracy through automated testing. PROACTIVELY Use when generating comprehensive Vitest tests for code examples in JavaScript concept documentation pages. Do not use for end-to-end browser automation, user flow testing, or browser-server integration → see testing-e2e skill.
managing-plans
Orchestrates project plan state management and execution. Manages ROADMAP.md state tracking, task dispatch, phase transitions, and handoff protocols. PROACTIVELY Use when managing project plans, executing phases, or coordinating task workflows. MUST Use for all plan-related operations (creation, modification, execution). Do not use for architecture design, system analysis, or creating new projects without a plan → see designing-architecture skill.
managing-python
Manages Python environments, dependencies, and tools using uv and ruff. PROACTIVELY Use when setting up Python projects, adding dependencies, managing virtual environments, or enforcing code quality standards. MUST Use `uv` for all operations.
applying-reasoning
Applies structured mental models to solve complex problems. Use when solving architectural decisions, root cause analysis, or strategic planning.
architecting-prompts
Applies 2026 Complexity-Based Guidance standards with Attention Management, Sycophancy Prevention, and XML/Markdown decision matrix. Provides theory, patterns, and quality evaluation criteria for AI prompt design. Use when designing, optimizing, or auditing AI prompts, system instructions, or multi-stage chains. Do not use for generating prompt files, basic conversational AI, or single-step interactions.
facilitating-reasoning
Clarifies goals and applies structured thinking frameworks (Pareto, Inversion, First-Principles) to complex problems. Use when exploring constraints, analyzing decisions, or applying structured reasoning to uncover hidden assumptions.
generating-prompts
Creates optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce structured outputs for other prompts to consume, or when running multi-stage workflows. Do not use for simple prompts, single-step tasks, or basic conversational AI.
operating-claude
Operational manual for driving the Claude runtime. Use when needing to optimize context usage, troubleshoot performance, or understand runtime mechanics. Do not use for architectural definitions or building plugins.
adhering-standards
Provides System Authority on 2026 Universal Agentic Runtime standards for all plugin components. MUST Use when auditing or managing plugin components (Skills, Commands, Agents). Do not use for creating new components, development tasks, or routine maintenance.
auditing-plugins
Comprehensive plugin auditing for compliance with marketplace best practices. MUST Use when validating, refactoring, or improving plugin quality. Do not use for creating new plugins, scaffolding components, or development tasks.
auditing-security
Scans for secrets and performs comprehensive security audits. MUST Use when verifying security of code changes or auditing file safety.
checking-types
Runs configured type checkers (pyrefly, mypy) on files after editing. MUST USE when validating Python type safety (Internal-only passive hook).
integrating-mcp
Provides comprehensive MCP integration guidance for Claude Code plugins. MUST Use when integrating databases via MCP, setting up MCP servers, or configuring connections. Do not use for API integration, web services, or general database access.
managing-hooks
Comprehensive guide for creating, configuring, and using Claude Code hooks. MUST Use when creating hooks, implementing PreToolUse/PostToolUse/Stop hooks, or configuring event-driven automation. Do not use for general automation, workflow management, or task execution.
repairing-state
Performs forensic investigation and applies permanent fixes. MUST USE when diagnosing component failures, hallucinations, or instruction drift. Do not use for routine tasks, standard debugging, or preventive maintenance.
experimenting-edge
Optimizes AI models for edge deployment through quantization, lazy loading, and memory management. Use when deploying models to resource-constrained environments, mobile devices, or edge computing scenarios. Do not use for cloud deployment, model training, or data preprocessing.
synchronizing-data
Implements offline-first synchronization with encrypted local storage and intelligent conflict resolution for mobile AI applications. Use when building offline-capable mobile apps, implementing sync with privacy requirements, or managing encrypted local data persistence. Do not use for cloud databases, real-time websocket sync, or server-side data management.
generating-ui
Creates beautiful visual art in .png and .pdf documents using design philosophy. Use when creating posters, artwork, designs, and static visual pieces with original designs. Never copy existing artists' work to avoid copyright violations.
processing-media
Handles video editing, ffmpeg processing, and visual analysis. Use when transforming raw footage into polished output or analyzing visual content.
configuring-typescript
Configures modern TypeScript (4.9+ through 5.x) for maximum type safety with sustainable compile times. Use when designing type-safe configs/maps/APIs, enforcing strictness flags, improving TS build performance (incremental, project references), or setting up separate TS/ESLint configs for tests.
managing-npm
Manages npm, pnpm, and bun dependencies following strict protocols. Use when installing, updating, or auditing packages. Do not use for TypeScript configuration or build tooling.
analyzing-data
Statistical analysis toolkit for hypothesis testing, regression, correlation, Bayesian statistics, power analysis, and APA reporting. USE when conducting academic research, analyzing experimental data, testing hypotheses with t-tests or ANOVA, performing regression analyses, calculating effect sizes, checking statistical assumptions, or generating publication-ready statistical reports. Do not use for literature reviews, tool selection, or methodology design → see conducting-research skill.
architecting-slides
Expertise in narrative structure, academic storytelling, and LaTeX Beamer presentations. Use when designing the flow of research talks and building technical slide decks with a focus on scientific rigor and narrative clarity.
conducting-research
Automatically determines the optimal research tool based on query type and available information. Use when answering technical questions requiring external verification, documentation lookup, or library/repo research. Do not use for statistical calculations, hypothesis testing, or data analysis → see analyzing-data skill.
ingesting-git
Transforms repositories into structured plain-text digests optimized for LLM consumption. Use when analyzing GitHub repositories, digesting codebases, or ingesting git repos for AI analysis.
lean-systems-design
Apply Elon Musk-inspired system design thinking for research, engineering, and business workflows: rigorously challenge requirements, delete steps, simplify/optimize what remains, accelerate iteration, then automate. Use when designing or revising systems, processes, or products that need lean, high-velocity execution.
three-phase-workflow
Strict three-stage workflow with explicit phase declarations (Analyze, Detail, Execute). Use when users want structured problem analysis, solution comparison, gated planning, and controlled implementation.
gh
Expert guidance for using the GitHub CLI (gh) to manage GitHub issues, pull requests, Actions workflows, repositories, and other GitHub operations from the command line. Use this skill when the user needs to interact with GitHub resources or perform GitHub workflows.
glab
Expert guidance for using the GitLab CLI (glab) to manage GitLab issues, merge requests, CI/CD pipelines, repositories, and other GitLab operations from the command line. Use this skill when the user needs to interact with GitLab resources or perform GitLab workflows.
response-quality-analysis
Analyze whether your response addresses the actual question asked before posting. Use when: (1) About to post response to forum/Slack question, (2) Want to validate response coverage, (3) Need to ensure solving the right problem, (4) Want specific improvement suggestions for gaps in response
ai-workflow-engineering
Guide for creating reliable AI workflows and SOPs. Use when: (1) User wants to create a structured workflow for AI tasks, (2) User needs to build an SOP for complex processes, (3) User wants to ensure their workflow follows best practices for managing LLM uncertainty, (4) User mentions creating workflows for domains like code review, response analysis, documentation, or any structured process
guided-ooda-loop
Universal pattern for structured LLM interaction managing finite context windows through phased progression (Observe-Orient-Decide-Act). Use when the user has a complex problem, wants to design/build/create something (software, strategy, document, process), or uses phrases like "I have an idea for...", "help me design...", "guide me through...", or mentions OODA, RPI, or PDD. Reduces hallucinations through structured interaction.
codebase-summary
Analyze a codebase and generate comprehensive documentation including architecture, components, interfaces, workflows, and dependencies. Creates an AI-optimized knowledge base (index.md) and can consolidate into AGENTS.md, README.md, or CONTRIBUTING.md. Use when the user wants to document a codebase, create AGENTS.md, understand system architecture, generate developer documentation, or asks to "summarize the codebase".
prompt-driven-development
Transform rough ideas into detailed design documents with implementation plans. Use when a user wants to develop an idea into a complete specification, create a design document from a concept, plan a feature implementation, or mentions "PDD", "prompt-driven development", "idea to design", "design doc from idea", or wants to systematically refine requirements before building. Guides through requirements clarification, research, detailed design, and implementation planning.
skill-resiliency
This skill should be used when the user asks to "add resiliency to a skill", "make this skill more robust", "improve error handling", "add validation mechanisms", "create self-correcting behavior", or discusses determinism, robustness, error correction, or homeostatic patterns in Agent Skills. Applies biological resiliency principles from Michael Levin's work to Agent Skill design.
transcribing-youtube
Download and transcribe YouTube videos into clean, deduplicated Markdown documents with chapter headings. Wraps yt-dlp to fetch subtitles (manual or auto-generated), removes the rolling-text triplication artifacts from auto-subs, inserts chapter markers from video metadata, and produces both a timestamped transcript and a prose-only version. Use when the user wants to: (1) transcribe a YouTube video, (2) get a transcript or subtitles from YouTube, (3) create an InfoNugget from a video, (4) extract text from a YouTube URL or video ID, or (5) mentions yt-dlp, YouTube transcript, or video subtitles.
validated-knowledge-synthesis
Transform raw, unorganized information into actionable knowledge through systematic validation. Use when users want to synthesize information from multiple sources (documents, URLs, transcripts, notes) into structured knowledge documents. Supports three document types - curated context (default, optimized for recall), guidance (implementation-focused narrative), and reference (quick lookup). Combines convergent synthesis with tension preservation to maintain productive contradictions. Triggers on requests like "synthesize this information", "create knowledge document from these sources", "transform these notes into actionable guidance", or "help me organize this research".
writing-eval-sloptastic
Quantitative framework for detecting AI-generated "slop" in prose through systematic analysis of structural, lexical, rhetorical, and logical patterns. Use when analyzing text authenticity, evaluating writing quality, detecting AI-generated content, or assessing whether prose has characteristic AI patterns like excessive parallelism, abstraction laddering, chiasmus abuse, platitudes, tautologies, or rhetorical overengineering.
display-components
Create specia display components for messages in discord.js that allows more powerful styling
puppeteer-stream
How to use the puppeteer-stream library and how to integrate it with a discord streaming bot
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