发现 AI Agent Skills

Archive a completed OpenSpec change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete. Also use when the user says "openspec archive" or "opsx archive".

Design and implement systematic checklists that reduce errors by 30-50% in complex, high-stakes domains (medicine, aviation, construction, finance). NOT for simple tasks or when comprehensive instruction is needed.

Implement the Canva Connect security baseline for backend OAuth, least privilege, tenant isolation, logging, revocation, and preview webhook verification. Use when threat-modeling, reviewing, or hardening an integration. Trigger with: "secure Canva integration", "Canva token security", "verify Canva webhook".

Guide for installing, configuring, and managing Tailscale, headscale, and the Tailscale product family. Covers core mesh VPN (exit nodes, subnet routers, access controls, SSH, MagicDNS), Docker and Kubernetes integration, CI/CD pipelines, ephemeral nodes, infrastructure access, site-to-site networking, app connectors, Aperture (AI/LLM gateway for governance, cost control, usage visibility), device posture, MDM, SCIM provisioning, SSH and kubectl session recording, tsrecorder, Taildrop, Tailscale Serve, Funnel, and building Go applications that embed Tailscale via the tsnet library. Use when someone asks about Tailscale networking, mesh VPN, VPN replacement, containers, Kubernetes operator, CI/CD runners, device management, session recording, audit logging, LLM API access, AI cost control, file sharing, exposing internal services, or writing a Go program that joins a tailnet as its own device — even when they describe the scenario without naming the product.

Produces an explicit component-by-component mapping from the analogy's source domain to the target technical concept. Rejects vague analogies by forcing each source element to map to a specific target element, and flags unmapped elements as voice-breaking ("it's like a brain" is rejected because "brain" is unmapped). Use after generate-analogy-set, for each of the 5 framings. Trigger keywords — map, component mapping, source target, explicit mapping, what does the X correspond to.

Checks whether a self-hosted Lightdash upgrade is safe to run, and reads the tooling's answer without over-reading it. Use when upgrading a self-hosted instance, planning a maintenance window, answering "is this upgrade safe", or recovering a failed, hung, parked or lock-stuck migration — covers `lightdash upgrade-check` and `migrate preflight`, how to gate on their exit codes and JSON, and the readings that look calm but mean "could not check".

Shopify platform development. Stack: Shopify CLI, GraphQL/REST APIs, Polaris UI, Liquid templating. Capabilities: app development (OAuth), checkout UI extensions, admin UI extensions, POS extensions, theme development, webhooks, billing API, product/order/customer management. Actions: build, extend, customize, integrate Shopify apps/themes. Keywords: Shopify, Shopify CLI, GraphQL Admin API, REST API, Polaris, Liquid, checkout extension, admin extension, POS extension, theme, webhook, billing API, OAuth, app bridge, metafields, product, order, customer, storefront, hydrogen, oxygen. Use when: building Shopify apps, customizing checkout, creating admin interfaces, developing themes, integrating payments, managing store data via APIs, extending Shopify functionality.

Prove integration. Manage data, records, and automate workflows. Use when the user wants to interact with Prove data.

Debug LLM applications using the Phoenix CLI. Fetch traces, spans, and sessions, annotate them, analyze errors, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user works with a Phoenix instance from the terminal.

This skill should be used when the user asks about "API key security", "read-only key", "IP whitelist", "rate limits", "dedicated wallet", "agent wallet", "key rotation", "access control", or any safety, security, or access control topic related to Bankr.

Use when the user wants visually striking, shareable slide-deck IMAGES from any content — an article, blog post, topic, or paper — where look-and-feel matters more than editable precision (风格化幻灯/小红书配图/公众号配图/视觉化海报), optimized for reading and social sharing rather than live presentation. Offers 17 T2I aesthetic styles (watercolor, sketch-notes, pixel-art, editorial, chalkboard, etc.); each slide is an AI-generated image (Gemini/Nano Banana), so the look is distinctive but text/math/data are baked into the image (not editable). NOT for a faithful academic talk where equations, numbers, tables, and citations must stay exact, editable, and projector-ready (组会/答辩/thesis defense/conference/results-heavy talks) — for that use scholar-slides instead, since text-to-image will garble math and data.

Helps a founder build the case for raising prices and the moves that justify it; it drives toward a higher price and does not debate whether to raise. Three gated phases: (1) collect the reality (what you charge, what you promise, who buys) and diagnose which market the price has selected (the $1/$10/$100/$1,000-per-month ladder), the profit stakes (a 10% rise can be ~100% more profit), and whether the low price is strategy or fear, landing on a rough higher target; (2) brainstorm, judgment off, moves that justify a higher price — move up a market rung, price on value created not cost saved, build Love and Utility drivers, differentiate, repackage; (3) select, grilling each move down to a few that are good, strategy-consistent, buildable, and wanted. Load when the user asks how much to raise prices, what it would take to charge more, or why their price feels too low. Do NOT load to set the exact price, write the increase letter, define the ideal customer, or choose among the three pricing strategies.

Discover valuable GitHub fork divergence beyond stars. TRIGGERS - fork analysis, fork intelligence, find forks

Check for qwencloud-ai updates and notify the user when a new version is available. TRIGGER when: user asks to check for updates, check version, asks 'is there a new version', 'latest version', 'update skills', 'check update', or any other qwen skill delegates to this skill, or user explicitly invokes this skill by name (e.g. use qwencloud-update-check). DO NOT TRIGGER when: non-update-related tasks, general version questions about other software.

Analyze alternative investments including hedge funds, private equity, and venture capital. Use when the user asks about hedge fund strategies (long/short, macro, event-driven), PE or VC performance metrics (IRR, TVPI, DPI), fee structures ('2-and-20', carry, hurdle rates), the J-curve effect, illiquidity premiums, lock-up periods, or hedge fund replication. Also trigger when users mention 'managed futures', 'CTA', 'fund of funds', 'vintage year', 'capital calls', 'distributions', 'carried interest', or ask how to evaluate an alternative investment manager.

Defines caching strategies with cache keys, TTL values, invalidation triggers, consistency patterns, and correctness checklist. Provides code examples for Redis, CDN, and application-level caching. Use when implementing "caching", "performance optimization", "cache strategy", or "Redis caching".

Generate and edit images with OpenAI GPT Image 2 (ChatGPT Images 2.0) on RunComfy. Documents GPT Image 2's strengths (embedded text, logos, multilingual typography, instruction precision), its 3 fixed sizes, edit-with-preservation language, and when to route to a sibling (Flux 2 / Nano Banana Pro / Seedream) instead. Calls `runcomfy run openai/gpt-image-2/text-to-image` or `/edit` through the local RunComfy CLI. Triggers on "gpt image 2", "gpt-image-2", "ChatGPT Images 2", "image 2", or any explicit ask to generate or edit with this model.

Mine ALL past Claude conversations to build a living 'User Manual About You'. Extract writing style, business context, goals, preferences, and patterns. Make all other skills smarter with context.