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Found 2,167 Skills
AWS-curated copy-paste prompts for AI coding agents (MVP scaffolding, RAG chatbot with Claude on Bedrock, security baseline evaluation, cost anomaly detection, GPU quota requests, EKS deployment, Well-Architected review, etc.) plus downloadable installable agents (Multi-Account Transition Advisor, Bill Shock Preventer, Service Quota Agent, Bedrock Model Availability Agent, AWS DB Advisor). Use when the user asks for a prompt to do X on AWS, wants an installable agent for multi-account / cost monitoring / quota management / Bedrock model availability / database selection, or asks how to use AWS prompts. For migration intent (GCP to AWS, OpenAI/Gemini to Bedrock), route to the migration-to-aws skill. Do not use for: factual AWS Activate / programs / credits questions, learn articles, sample architectures, or for prompts that are not in the bundled `references/prompt-library/` tree.
Patterns for invoking the GitHub CLI (gh) from agents. Covers structured output, pagination, repo targeting, search vs list, gh api fallback.
Invoke when the user asks to review, check, audit, or look over Qt6 QML code -- or suggest before committing. Runs deterministic linting (47+ rules) then six parallel deep- analysis agents covering bindings, layout, loaders, delegates, states, and performance. Optionally invokes system qmllint for type-level checks. Reports only high-confidence issues (>80/100) with structured mitigations. Read-only -- never modifies code.
Write or refresh a "Tech debt operations" section in the project's AGENTS.md so the team shares one source of truth for debt-ops disciplines. Run ONLY when the user explicitly asks to set up, install, or initialize debt-ops disciplines — never auto-invoke. Idempotent; only the managed section changes, other sections are untouched.
Analyze local ChatLab chat records via clb CLI. Used when users ask external Agents to review conversations, find evidence, summarize topics, compare members, or analyze specified person or group relationships based on imported ChatLab data.
UiPath Coded Functions — deterministic Python units built via `uip function` (new/init/run/pack/publish); the `functions` map in `uipath.json`, `entry-points.json`, Pydantic Input/Output. Rule-based logic, data transforms, ERP/Integration Service connector calls — no LLM reasoning or agent loop. For LLM/agentic projects (LangGraph, LlamaIndex, OpenAI Agents, `agent.json`)→uipath-agents.
UiPath Coded Apps — scaffold, build, run, and deploy Coded Web Apps and Coded Action Apps: React/TypeScript apps that call UiPath Cloud APIs via the `@uipath/uipath-typescript` SDK and ship to Automation Cloud (push/pull to Studio Web, pack, publish, deploy, OAuth-PKCE). Also generates live analytics & governance dashboards from a plain-language request, wired to tenant data via the Insights real-time API, with edit and deploy flows. For RPA→uipath-rpa, Python agents→uipath-agents, Maestro flows→uipath-maestro-flow, solution packaging→uipath-solution.
Build tools that agents can use effectively, including architectural reduction patterns
Integrate Honcho memory and social cognition into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, or implementing the dialectic chat endpoint for AI agents.
LangGraph parallel execution patterns. Use when implementing fan-out/fan-in workflows, map-reduce over tasks, or running independent agents concurrently.
Comprehensive tool for finding and analyzing DeFi yield opportunities across protocols, chains, and asset types. Use when users want to earn yield on crypto assets (staking, lending, liquidity farming, aggregators). Supports exhaustive parallel research using librarian agents, direct web searches, and GitHub repository analysis.
Run Microsoft's eval-recipes benchmarks to validate amplihack improvements against baseline agents. Auto-activates when testing improvements, running evals, or benchmarking changes.