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Found 5,875 Skills
Knowledge base for designing, reviewing, and linting agentic AI infrastructure. Use when: (1) designing a new agentic system and need to choose patterns, (2) reviewing an existing agentic architecture ADR or design doc for gaps/risks, (3) applying the lint script to an ADR markdown file to get structured findings, (4) looking up a specific agentic pattern (prompt chaining, routing, parallelization, reflection, tool use, planning, multi-agent collaboration, memory management, learning/adaptation, MCP, goal setting, exception handling, HITL, RAG, A2A, resource optimization, reasoning techniques, guardrails, evaluation, prioritization, exploration/discovery). All rules and guidance are grounded in the PDF "Agentic Design Patterns" (482 pages).
After an agentic task completes, perform a retrospective analysis across 6 dimensions (goal alignment, efficiency, decision quality, error handling, communication, reusability). Score performance, identify inefficiency patterns, evaluate skill usage, and produce actionable improvement recommendations. Triggers on "how did it go", "retrospective", "review performance", "what could be better", or after any long agentic task completes.
Optimizes text, prompts, and documentation for LLM token efficiency. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension. Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality.
Detect CVEs and security issues in project dependencies. Use when you need to analyze packages for known vulnerabilities across npm, pip, cargo, and other ecosystems.
Amazon Movers & Shakers data acquisition tool. This skill is used when users need to find hot products with recently soaring sales on Amazon, discover bestseller trends, and obtain the soaring list product list. It supports filtering by category, outputs data such as basic product information, price, ranking trend, etc., providing original market data for Temu product selection.
Create production-grade motion graphics and videos using Remotion (React). Use whenever the user wants branded video content, product demos, data-driven video generation, or motion graphics with audio sync, web fonts, TailwindCSS styling, or media embedding. Covers: marketing videos, product launches, data visualizations, social media content, personalized video at scale, explainer videos with voiceover, animated charts, 3D scenes via Three.js. Requires Node.js and Claude Code environment. Trigger on: "create a Remotion video", "React video", "motion graphics", "branded video", "product demo video", "remotion", "video with audio", "TailwindCSS video", "data-driven video generation", "personalized video at scale", "video with voiceover". For mathematical animations, algorithm visualizations, or headless container rendering, use concept-to-video (Manim) instead.
Novel Writing Assistant that supports creating novels from scratch, continuing chapters, character design, worldbuilding, etc. Suitable for various genres (science fiction, fantasy, mystery, romance, wuxia, etc.). Trigger scenarios: (1) User requests to write a novel, such as "Help me write a sci-fi novel", "Create a mystery story"; (2) Continue or revise existing content, such as "Continue a chapter for this story", "Revise this character"; (3) Character-related tasks, such as "Help me design a villain character", "Design a love interest for the protagonist"; (4) Worldbuilding, such as "Help me design a magic system", "Build a cyberpunk world."
Structure scenes and control pacing using scene-sequel rhythm. Use when individual scenes work but don't accumulate, when pacing feels off (too rushed or too slow), when transitions feel mechanical, or when readers can follow but aren't compelled forward. Based on Dwight Swain's Goal-Conflict-Disaster and Reaction-Dilemma-Decision structure.
Plan and execute entire application builds. Generates phased delivery roadmaps, then executes them autonomously — phase by phase, committing at milestones, deploying, testing, and continuing until done or stuck. Modes: plan (generate roadmap), start (begin executing), resume (continue from where you left off), status (show progress). Triggers: 'roadmap', 'plan the build', 'start building', 'resume the build', 'keep going', 'build the whole thing', 'execute the roadmap', 'what phase are we on'.
When the user wants to monitor competitor apps on an ongoing basis — tracking metadata changes, keyword shifts, screenshot updates, rating trends, or new features. Use when the user mentions "competitor monitoring", "track competitors", "competitor alert", "competitor changed their title", "watch a competitor app", "competitor weekly report", "competitive intelligence", or "what changed in competitor's listing". For a one-time deep competitive analysis, see competitor-analysis. For market-wide chart movements, see market-movers.
Defense-in-depth verification before declaring any task complete. Run tests, check build, validate changed files, verify no regressions. Applies 4-level adversarial artifact verification (EXISTS > SUBSTANTIVE > WIRED > DATA FLOWS) with goal-backward framing. Use before saying "done", "fixed", or "complete" on any code change. Use for "verify", "make sure it works", "check before committing", or "validate changes". Do NOT use for debugging (use systematic-debugging) or code review (use systematic-code-review).
Use for Cobo Agentic Wallet operations via the `caw` CLI: wallet onboarding, token transfers (USDC, USDT, ETH, SOL, etc.), smart contract calls, balance queries, and policy denial handling. Covers DeFi execution on EVM (Base, Ethereum, Arbitrum, Optimism, Polygon) and Solana: Uniswap V3 swaps, Aave V3 lending, Jupiter swaps, DCA, grid trading, Polymarket, and Drift perps. Use when: user mentions caw, cobo-agentic-wallet, MPC wallet, TSS node, Cobo Portal, agent wallet, or needs any crypto wallet operation — even without explicit "Cobo" mention. NOT for: fiat payments, bank transfers, or crypto-to-fiat off-ramp.