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Found 9,925 Skills
Implement AI Coaching best practices on AnalyticDB for PostgreSQL (ADBPG): Leverage Supabase projects (training data management) + ADBPG instances with vector optimization to build RAG-driven coaching systems that guide users through domain-specific workflows, decision-making, or skill development. Use when: User wants to create Supabase projects (spb-xxx), ADBPG instances (gp-xxx), vector knowledge bases, or RAG-driven coaching systems on ADBPG. Triggers: "Supabase", "ADBPG", "vector database", "knowledge base", "RAG", "AI coaching", "coaching system", "spb-xxx", "gp-xxx"
Comprehensive skill for the `kb` CLI and the Karpathy Knowledge Base pattern. Covers the full KB lifecycle — topic scaffolding, multi-source ingestion (URLs, files, YouTube, bookmarks, codebases), wiki article compilation, cross-article querying with file-back, lint-and-heal passes, QMD indexing, and hybrid search. Also covers codebase-specific analysis via inspect commands for complexity, coupling, blast radius, dead code, circular dependencies, symbol/file lookups, backlinks, and code smells. Use when working with kb CLI commands, knowledge base workflows, code vault generation, code graph analysis, code metrics inspection, wiki compilation, or the ingest-compile-query-lint cycle. Do not use for general code review, linting, formatting, building Go projects, or writing application code.
Comprehensive end-to-end validation of the Archon Web UI using browser automation and codebase review. Use when: User wants to validate, test, or audit the Archon web interface, find UI/UX bugs, test workflow management, verify parallel agent orchestration, or run comprehensive browser-based E2E tests. Triggers: "validate ui", "test the ui", "e2e test", "browser test", "validate archon", "test archon ui", "ui audit", "ux review", "comprehensive test", "validate everything". Capability: Starts Archon, runs exhaustive browser automation tests via agent-browser CLI, performs codebase review, and produces a detailed bug/UX report. NOT for: Unit tests (use `bun test`), CLI-only validation (use /validation:validate-simple).
Explains how to use skeeper to keep spec artifacts (SPEC.md, ADRs, RFCs, plan/PRD/TechSpec markdown, custom globs) next to the code they describe without polluting main-repo history. Covers strict hooks, the tracked skeeper.lock file, namespaces, sync/verify/fsck, safe drift workflows with diff/hydrate/reconcile/rescue/update, adopt/untrack/pattern, repair, SKEEPER_SKIP, and the GitHub Action. Use when setting up skeeper, configuring a sidecar, syncing/verifying a lockfile, recovering drift or failed syncs, auditing bypasses, or wiring CI. Do not use for general Git hook questions, repos with no .skeeper.yml and no intent to add one, or editing skeeper internals.
This skill should be used when the user asks to "test on iOS simulator", "run app on iPhone", "take iOS screenshot", "tap button in simulator", "automate iOS UI", "install app on simulator", "boot simulator", or when working with iOS apps, Xcode, Simulator, simctl, idb, UI automation, or iOS testing. It automates iOS Simulator workflows including device lifecycle (create/boot/erase), app management (install/launch), push notifications, privacy grants, screenshots, and accessibility-based UI navigation.
Operate the WeWork CLI for workspace booking workflows, including authentication setup with `WEWORK_USERNAME` / `WEWORK_PASSWORD`, location and desk discovery, booking creation, booking listing, and calendar export. Use when requests mention `wework` commands or the npm package `wework-cli`, especially for command construction, flag troubleshooting, and safe pre-book checks.
Cross-platform Electron desktop app for OpenAI Codex with build and development workflows
Creates, updates, and deploys Power Apps generative pages for model-driven apps using React v17, TypeScript, and Fluent UI V9. Completes workflow from requirements to deployment. Uses PAC CLI to deploy the page code. Use it when user asks to build, retrieve, or update a page in an existing Microsoft Power Apps model-driven app. Use it when user mentions "generative page", "page in a model-driven", or "genux".
Guides product support specialist work—customer tickets about how the product works, configuration, permissions, workflows, and expected behavior; empathetic replies, triage and routing, macro and KB guidance, feature-request capture, and escalation to technical support or product when needed. Use when answering "how do I…" questions, clarifying plan limits, drafting support responses, deciding bug vs education vs config issue, or documenting feedback—not for deep log/API debugging and engineering repro (support-engineer), billing/dunning programs (customer-ops-specialist), exec/VIP escalation programs (community-executive-escalations-program-manager), or public API reference authoring (tech-writer-researcher), or structured developer training programs (developer-education-lead).
Claude Code skill (trtllm-agent-toolkit): implement or extend TensorRT-LLM AutoDeploy fusion transforms under transform/library/ in a TensorRT-LLM checkout. Prefer existing kernels and custom ops; use Triton only when no viable existing-kernel path exists. Use ad-graph-dump for AD_DUMP_GRAPHS_DIR workflows. Covers TRT-LLM paths, registry, default.yaml registration, graph validation, tests, and a review checklist — without prescribing profiling tools or throughput targets.
Monitor social media mentions, trends, and competitor activity for e-commerce brands. Set up listening workflows across Reddit, TikTok, Instagram, Twitter/X, and YouTube.
SurgeGraph is the Answer Engine Optimization (AEO) platform that tracks AI citations, scores pages for citation readiness, and one-click fixes the gaps — now every workflow runs from the terminal or any agent. Trigger phrases: `what changed in SurgeGraph this week`, `AI Visibility for my project`, `which prompts lost AI citations`, `publish gap articles from a topic research`, `what knowledge libraries actually show up in citations`, `use surgegraph`, `run surgegraph`.