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Found 3,047 Skills
Comprehensive toolkit for generating, validating, and managing Kubernetes YAML resources. Use this skill when creating Kubernetes manifests (Deployments, Services, ConfigMaps, StatefulSets, etc.), working with Custom Resource Definitions (CRDs), or generating production-ready K8s configurations.
Find bugs in the Stitch SDK using a real API key. Covers standard functional edges and tricky situations.
Create distinctive brands that customers choose because they believe there's no substitute, using Marty Neumeier's Brand Gap and Zag frameworks Use when: **Building a new brand** from scratch (startup, product, service); **Repositioning an existing brand** that's become commoditized; **Defining brand differentiation** when competitors all look the same; **Creating brand guidelines** for consistent execution; **Evaluating brand strength** through structured testing
Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh cross-model reviewer with NO prior context to prevent confirmation bias. Use when user says "审查论文数据", "check paper claims", "verify numbers", "论文数字核对", or before submission to ensure paper-to-evidence fidelity.
Help a CS or AI PhD student turn a rough research idea into a validated next-step decision using the handbook's FIVE+C framework. Use this skill whenever the user says they have a research idea, wants to know whether an idea is worth pursuing, needs help choosing between project directions, is preparing to pitch an idea to an advisor or senior student, or feels unsure whether a project is too incremental, too ambitious, already solved, hard to evaluate, or missing resources.
Check BIM model consistency: naming conventions, parameter completeness, spatial relationships, and data integrity across model elements.
Discover and cache all installed ComfyUI models, custom nodes, and system capabilities. Works online (API queries) and offline (directory scanning). Use before generating workflows to verify available resources.
Break down a one-sentence idea into a task plan that an AI agent can execute independently. Use this when the user says: "Help me write a goal for the agent", "Help me break down this goal in detail", "Write a task brief for the agent", "Write a goal prompt", "Let the agent run this project on its own", "Split the work among multiple agents for parallel execution". First conduct actual tests in the codebase, conduct online research if necessary, then ask a maximum of 5 questions in one go, and produce a task plan of ≤4000 characters that can be directly pasted into /goal to run, including actual test data, whitelist boundaries, anti-cheating acceptance criteria, and resumable progress. Automatically distinguish between execution-type and exploration-type (research/selection/solution-finding) tasks.
Interrogates a user's decision, plan, pitch, positioning, target market, pricing, or still-forming idea with sharp, unsparing questions — extended when useful to hostile or even unfair framings — until the plan sharpens into defensible decisions, or the user concludes it isn't a good idea after all. Acts as the constructive devil's advocate that the user cannot be for themselves. Load when the user wants to stress-test, attack, pressure-test, find holes in, or play devil's advocate against something they're attached to; when they ask to be "grilled," "beat up," or told "why I'm wrong"; when they suspect their plan contains wishful thinking, fluffy language, or an unnamed elephant in the room; or when they need to convert vague aspirations into real strategic decisions (with consequences accepted). Do NOT load for ordinary code review, prose editing, or general feedback requests without an adversarial frame.
Facilitates the second step of a proven customer-interview method: recording the user's current best guesses — hypotheses — as numbered, falsifiable statements (H1, H2, …), each mapped to the goal questions it addresses, so interviews can confirm or contradict them instead of confirmation bias quietly filtering what's heard. Takes a GOALS.md goal-question list as input (file or pasted), elicits what the user believes goal by goal, sharpens vague beliefs into testable claims, prunes to hypotheses whose resolution would actually change what the user builds, targets, charges, or says, and preserves the result in HYPOTHESES.md. Load when the user has goal questions and wants to write hypotheses, list their assumptions, or record predictions before interviewing customers — 'I have my goals, what's next,' 'help me write down what I believe about my customers.' Do NOT load for writing the interview questions themselves, for analyzing interviews already conducted, or for statistical hypothesis testing.
Generate, refine, research, and validate startup ideas through an interactive founder-specific idea machine. Use when Codex needs to ask a few focused questions, search current public web signals, rapidly brainstorm startup or SaaS ideas, learn from love/maybe/no reactions, produce additional idea rounds, compare finalists, investigate competitors and existing workarounds, select a promising opportunity, or create an evidence-linked Markdown startup-idea report.
Use when building, editing, validating, testing, or debugging an n8n workflow through the n8n-mcp MCP server — designing a flow, configuring a node, writing an expression or Code node, wiring credentials, or fixing one that misbehaves. The entry-point skill for the n8n-mcp-skills pack: it routes you to the right specialist skill, gives working knowledge of every n8n-mcp tool from turn one, and states the rules that keep workflows from breaking in production. Always consult it first on any n8n, workflow, node, or automation task — even a quick one-off, and even when the user names no skill — because n8n's surface drifts between versions and the specialist skills prevent silent failures.