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Found 1,681 Skills
REST API for cross-chain and same-chain token swaps, bridging, and DeFi operations. USE THIS SKILL WHEN USER WANTS TO: - Swap tokens between different blockchains (e.g., "swap USDC on Ethereum to ETH on Arbitrum") - Bridge tokens to another chain (e.g., "move my ETH from mainnet to Optimism") - Swap tokens on the same chain with best rates (e.g., "swap ETH to USDC on Polygon") - Find the best route or quote for a token swap across chains - Execute DeFi operations across chains (zap, bridge+swap+deposit, yield farming entry) - Build multi-chain payment flows (accept any token, settle in specific token) - Check supported chains, tokens, or bridges for cross-chain transfers - Track status of a cross-chain transaction - Build backend services (Python, Go, Rust, etc.) that need cross-chain swaps - Integrate cross-chain functionality via HTTP/REST (not JavaScript SDK)
Use when working with Infrastructure as Code tools and platforms. Covers Terraform, Pulumi, CloudFormation, Bicep, ARM, Kubernetes, Helm, Docker, Crossplane, and Dagger. USE FOR: choosing IaC tools, comparing Terraform vs Pulumi vs CloudFormation, infrastructure strategy DO NOT USE FOR: specific tool syntax (use the sub-skills: terraform, pulumi, bicep, etc.)
Periodic cross-repo reflection analyzing 30 days of git history, extracting patterns via RAGS loop, and auto-creating skills
Use when working with fundamental CLI tools and utilities that are essential for software development across all languages and platforms. Covers shells, version control, system package managers, containers, remote access, HTTP clients, data processing, and build runners. USE FOR: CLI tools, developer tooling, shell scripting, version control, system package managers, containers, remote access, build automation, text processing, choosing cross-platform dev tools DO NOT USE FOR: language-specific package managers (use language-specific skills like npm/pip/cargo), IDE configuration, language-specific build tools (use language-specific skills)
Researches investigative articles, interviews, and news coverage. Use when research needs journalistic sources for cross-referencing or additional context.
Conducts investigative-grade research with primary source analysis, cross-verification, and trial-level depth. Use when an album needs factual research, source material, or verification of claims.
Claude + Gemini Cross Fact-Checking. Conduct independent checks by three parties: Opus itself, Gemini Flash, and Gemini Pro → extract issues → discuss → output a consensus report.
Orchestrates end-of-session capture via 5-phase GODAR framework — prevents work loss between sessions by surfacing learnings, triaging incomplete work into Now/Bon/Handoff, writing cross-session handoff, and staging memory extraction while context is rich. MANDATORY before /exit. Invoke FIRST on 'wrap up', 'lets finish', 'close out', '/close'. Pairs with /open. (user)
Full Sentry SDK setup for Python. Use when asked to "add Sentry to Python", "install sentry-sdk", "setup Sentry in Python", or configure error monitoring, tracing, profiling, logging, metrics, crons, or AI monitoring for Python applications. Supports Django, Flask, FastAPI, Celery, Starlette, AIOHTTP, Tornado, and more.
Performs semantic code intelligence and token optimization through context engineering and automated context packing. Use when reducing token overhead for large codebases, creating repository digests with Gitingest, packaging code context with Repomix, or tracing cross-file dependencies with llm-tldr.
Explore-first wave pipeline. Decomposes requirement into exploration angles, runs wave exploration via spawn_agents_on_csv, synthesizes findings into execution tasks with cross-phase context linking (E*→T*), then wave-executes via spawn_agents_on_csv.
Multi-AI Parallel Deep Research. Triggered when users need comprehensive research, in-depth study, multi-party comparison, or comprehensive analysis covering multiple dimensions and sources for a certain topic. Suitable for complex topics (technical selection, competitor analysis, industry trends, controversial topics, etc.), not suitable for simple fact queries. Conduct parallel research through multiple AI services, cross-validate, and output a comprehensive report with citations.