Create compelling story-format summaries using UltraThink to find the best narrative framing. Support multiple formats - 3-part narrative, n-length with inline links, abridged 5-line, or comprehensive via Foundry MCP. USE WHEN user says 'create story explanation', 'narrative summary', 'explain as a story', or wants content in Daniel's conversational first-person voice.
Creates professional AI image/video prompts with photographer's and cinematographer's eye. Specializes in composition, lighting, color grading, and storytelling. Use when generating AI images/videos with artistic vision, working with models like Nano Banana Pro, Qwen, Sora2, Wan 2.2. For graphic design work (thumbnails, banners, layouts), use /graphic-designer instead.
Designs graphics for thumbnails, social media, banners, and presentations. Applies design principles (CRAP, Gestalt, visual hierarchy) with research-backed techniques. Integrates with /geometric-elements for decorative assets. Use when creating layouts, choosing typography/colors, or designing any graphic assets. For photography/cinematography prompts, use /art-director instead.
Creative problem-solving and ideation using SCAMPER, First Principles, Random Word, and AI-optimized techniques. Use when generating ideas, breaking creative blocks, brainstorming alternatives, or innovating.
This skill should be used when users request help optimizing, improving, or refining their prompts or instructions for AI models. Use this skill when users provide vague, unclear, or poorly structured prompts and need assistance transforming them into clear, effective, and well-structured instructions that AI models can better understand and execute. This skill applies comprehensive prompt engineering best practices to enhance prompt quality, clarity, and effectiveness.
Toolkit for creating animated GIFs optimized for Slack, with validators for size constraints and composable animation primitives. This skill applies when users request animated GIFs or emoji animations for Slack from descriptions like "make me a GIF for Slack of X doing Y".
Debug and investigate code issues using search and AI analysis. Use when stuck on bugs, tracing execution flow, or understanding complex code.
Use when the user mentions 'HEPData' or asks to find experimental data, download data tables from HEP papers, get digitized plots, or retrieve cross-section measurements. HEPData contains data points behind figures in high-energy physics publications.
Creates or updates pipeline step schemas in the harness-schema repository. ALWAYS use this skill when user mentions ANY of these: - Step operations: "create step", "add step", "new step", "update step", "modify step", "edit step", "implement step", "define step", "build step" - Schema files: "step-info.yaml", "step-node.yaml", "StepInfo", "StepNode", "step schema", "step definition", "step spec" - Stage availability: "add to stage", "enable in stage", "available in stage", "register step", "execution-wrapper-config" - Template support: "step template", "template_config.yaml", "enable as template" - JSON updates: "pipeline.json", "template.json", "add definition", "update schema" - Field work: "add field", "add property", "new field", "step property", "step field", "modify field" - Expression support: "runtime input", "JEXL", "expression support", "<+input>", "common-jexl" - Category mentions: "CD step", "CI step", "custom step", "FME step", "feature flag step", "approval step" If user is working with files
This skill enables AI agents to generate new DHTI elixir projects from a cookiecutter template. Elixirs provide backend GenAI capabilities as HTTP endpoints hosted by LangServe. The skill guides the agent through environment setup, project scaffolding using cookiecutter, studying reference implementations, and implementing the requested elixir functionality.
Guidelines for creating and organizing Claude Code skills for the ChainGraph project. Use when creating new skills, updating existing skills, or organizing the skill tree. Covers naming conventions, description writing, skill composition, and tree organization.
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and 分析s execution patterns. Requires langsmith-fetch CLI installed.
Model-Development standards for model development in Ml Ai environments.
Interactive requirements discovery through Socratic dialogue and systematic exploration. Use when transforming ambiguous ideas into concrete specifications, validating concepts, or coordinating multi-persona analysis.
Extracts expertise from domain experts and transforms it into working Claude skills. Guides through structured conversations to capture mental models, workflows, principles, and best practices.
