Найдите подходящую возможность для вашего агента.
This skill should be used when the GM needs storytelling techniques, handling player failure, NPC creation, scene pacing, or improv principles. Triggers on "fail forward", "succeed at cost", "yes and", "how do you want to do this", "NPC motivation", "scene transitions", "player agency".
Use when brainstorming completes and user selects research-first option - manages parallel research subagents (up to 4) across codebase, library docs, web, and GitHub sources, synthesizing findings and auto-saving to memory before planning
Expert guidance for building AI-powered workflows with n8n, Zapier, and custom orchestration systems. Use when automating workflows, integrating AI agents, or building no-code/low-code automation.
Coordinate multiple agents for software development across any language. Use for parallel execution of independent tasks, sequential chains with dependencies, swarm analysis from multiple perspectives, or iterative refinement loops. Handles Python, JavaScript, Java, Go, Rust, C#, and other languages.
LLM safety guardrails and content moderation
LLM integration patterns for Claude, GPT, Gemini, and Ollama. Activate for AI API integration, prompt engineering, token management, extended thinking, and multi-model orchestration.
Industrial-strength NLP with spaCy 3.x for text processing and custom classifier training. Use when "installing spaCy", "selecting model for nlp" (en_core_web_sm/md/lg/trf), "tokenization", "POS tagging", "named entity recognition" (NER), "dependency parsing", "training TextCategorizer models", "troubleshooting spaCy errors" (E050/E941 model errors, E927 version mismatch, memory issues), "batch processing with nlp.pipe", or "deploying nlp models to production". Includes data preparation scripts, config templates, and FastAPI serving examples.
Standard datasets and benchmarks for evaluating AI security, robustness, and safety
DEPRECATED - Use gpt-researcher skill instead. This browser automation approach has been replaced with the local GPT-Researcher framework using OpenAI o1.
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
AI agent follows a 5-phase debugging process with reproduction, isolation, hypothesis testing, and root cause resolution. Use when investigating bugs, troubleshooting issues, or hunting errors.
Integrate Langfuse observability with AWS Strands Agents for comprehensive tracing, monitoring, and debugging of AI agent applications. Use when building Strands agents that need production observability, when debugging agent behavior, when tracking costs/latency/token usage, or when setting up OpenTelemetry-based tracing for Strands.
Use when working on long-running projects or needing context across sessions. Covers memory architecture, privacy controls, efficient retrieval, and integration with claude-mem plugin. Apply when building features that span multiple sessions or need historical context.
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including loading relevant skills before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists
Save and export the current Claude Code session as a shareable HTML transcript. Use this skill when the user asks to save, export, archive, or publish their current Claude Code conversation or session. Triggers on phrases like "save this transcript", "export this session", "create a transcript", "archive this conversation", "publish to gist", or "share this session". Wraps Simon Willison's claude-code-transcripts tool for in-session use.
Design, implement, and debug a custom ChatKit backend in Python that powers the ChatKit UI without Agent Builder, using the OpenAI Agents SDK (and optionally Gemini via an OpenAI-compatible endpoint). Use this Skill whenever the user wants to run ChatKit on their own backend, connect it to agents, or integrate ChatKit with a Python web framework (FastAPI, Django, etc.).
Reproduce research papers into working code. Use when user wants to implement ML/AI papers, reproduce experiments, extract algorithms from PDFs, or convert research into executable code. Handles multiple interconnected papers with multi-agent extraction, equation verification, and benchmark validation.
Gemini Computer Use - Browser automation with AI vision
Obsidian vault notes (AILSS): search/summarize/edit (frontmatter, tags/keywords, typed links/backlinks, broken links; retrieval-first MCP; gated writes)
