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Found 2,826 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.
Use when auditing domain authority, trust, or citation credibility; runs a peer-relative 40-item CITE profile with evidence coverage and verified manipulation/penalty veto checks. Not for page-level content quality — use content-quality-auditor; not for backlink profiling alone — use offsite-signal-analyzer. 域名权威/网站可信度
Audit and reduce AI agent runtime spend in dollars. Use for AI costs, agent spend, token waste, runtime attribution, detector coverage, and FinOps. Works with OpenClaw, Hermes, QM, Claude Code, Cursor, and generic event ingest.
Factorial Code platform architecture and core concepts — processes, modules, execution context, team variables and their inheritance from parent workspaces, datastore, file storage, workspace structure, and naming conventions. Use when building, editing, or reasoning about any Factorial Code (fcode) process, module, or workspace; start here before writing process or module code.
Build, scaffold, refactor, debug, review, and visually validate production Rust desktop interfaces with GPUI. Use for setting up a production-ready GPUI starter app; new GPUI apps or components; Entity, Context, action, async, and lifecycle architecture; Apple-style macOS UI, Liquid Glass or translucent materials, motion, gestures, focus, keyboard, accessibility, text input, IME, clipboard, drag and drop, menus, multi-window behavior, and restoration; packaging, CI, performance, and testing work; or translating selected Paper.design frames into maintainable GPUI code with screenshot comparison. Covers published GPUI and pinned Zed revisions, macOS/Linux/Windows boundaries, narrow AppKit interop, and stability audits.
Use to ride a trend — a trending sound, format, meme, hashtag, news moment, or cultural conversation — to earn reach by attaching the brand to something already getting attention (a.k.a. trendjacking / newsjacking). Run when the user says "trend," "trending," "jump on this trend," "trendjack," "newsjack," "is this trend worth doing," "make this go viral," or wants to react to a current moment. Reads brand-profile, voice, and audience first, then runs three gates — FIT, SAFETY, and TIMING — before executing a fast, on-brand remix and handing to the right content skill (tiktok-script, reels-script, caption-writer) and scheduling-and-queue. Refuses to trendjack tragedies or divisive moments and won't force irrelevant trends; live trend discovery needs current scanning — this skill vets and executes. For meme-format craft, cultural fluency, and meme IP/likeness judgment ("make a meme," "is this meme safe"), route to meme-and-culture.
Fan out N parallel workers, drain them, and return one report. Use for /swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration.
Focused Signals scout for PostHog projects using session replay. Watches two promises the replay product makes: that sessions are actually being recorded (capture integrity — recording volume vanishing while site traffic doesn't), and that the friction evidence inside recordings gets seen (rage-click / dead-click clusters concentrating on a page or element, error-after-interaction cohorts, recurring replay vision themes nobody aggregates). Emits findings only when they clear the confidence bar; otherwise writes durable memory and closes out empty. Self-contained peer in the signals-scout-* fleet.
阿里云百炼联网搜索（web search）入口：为联网搜索 / 网页搜索 / 查最新资讯做路径分发。 先识别当前连接身份：Token Plan（profile `token-plan` 或 base_url host 为 `token-plan.<region>.maas.aliyuncs.com`）→ 模型自带搜索 （`bl text chat --api responses --tool '{"type":"web_search"}'`）；其他 / 默认 → Bailian MCP（`bl search web`）；仅在 MCP 鉴权失败、未开通或传输失败时兜底一次到模型自带搜索。 Token Plan 联网搜索失败、两条路径鉴权混淆的排查也走本技能。 反触发：宿主可完成的 普通问答 / 编程 / 写作 → 不触发；知识库 RAG → bailian-cli （`bl knowledge`）；生图/生视频/语音 → bailian-gen；精调/训练 → bailian-finetune； agents.yaml → bailian-managed-agent。 共享协议（consent / 版本预检 / 鉴权 / 错误上报）在 bailian-protocol；官方安装 `bl skill init`。
Multi-source search and deduplication layer with intent-aware scoring. Integrates Brave Search (web_search), Exa, Tavily, and Grok to provide high-coverage, high-quality results. Automatically classifies query intent and adjusts search strategy, scoring weights, and result synthesis accordingly. Activated for "deep search", "multi-source search", or when high-quality research is needed.
Transcribe audio/video with AssemblyAI (local upload or URL), plus subtitles + paragraph/sentence exports.
Lightweight scanner tracking Smart Money market concentration across all Hyperliquid assets. Flags assets accelerating up the ranks before they become crowded top-3 plays. IMMEDIATE_MOVER signal fires on 10+ rank jumps with quality filters (erratic history, velocity gate, trader count floor, max leverage check). One API call per scan, runs every 60 seconds. Use when detecting SM rotations, finding emerging opportunities early, or monitoring rank acceleration patterns.