Agent Skills

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name: setup

description: Initialize any folder as a Bedrock-powered Obsidian vault. Creates entity directories, copies templates, configures language and domain taxonomy, scaffolds connected example entities, and checks dependencies. Use when: "bedrock setup", "bedrock-setup", "/bedrock:setup", "initialize vault", "setup vault", "create vault", "bootstrap vault", or when a user wants to start a new Second Brain with Bedrock.

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name: stock-brief

description: Produce a situational brief on a single stock/ticker — its recent high-relevance news, insider activity, and what to watch next — using the AlphaAI MCP. Use when the user asks to "brief me on <ticker>", "what's going on with <company>", "catch me up on NVDA", or wants a quick read on one name.

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name: sync

description: Re-synchronizes the vault with external sources. In default mode, scans the `sources` field of all entities, deduplicates URLs, fetches updated content from each source (Confluence, GDocs, GitHub, Markdown), performs incremental diff and delegates writing to /bedrock:preserve. With --people, scans actor repositories via GitHub API and identifies active contributors. With --github, detects relevant activity in repositories and correlates PRs with topics/projects via LLM semantic matching. Use when: "bedrock sync", "bedrock-sync", "/bedrock:sync", "synchronize", "update sources", "sync people", "sync github".

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name: teach

description: Teaches the Second Brain to recognize a new external data source. Fetches content from Confluence, Google Docs, GitHub repositories, remote URLs, or any local file format supported by docling (DOCX, PPTX, XLSX, PDF, HTML, EPUB, images, Markdown, CSV, and more), converts non-markdown formats to markdown via docling, runs the /graphify extraction pipeline, and delegates entity persistence (including the graphify-output merge) to /bedrock:preserve. Use when: "bedrock teach", "bedrock-teach", "teach", "ingest source", "import document", "/bedrock:teach", or when the user provides a Confluence, Google Docs, or GitHub URL, a remote file URL, or a local file path to incorporate into the vault.

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name: vaults

description: Manage registered Bedrock vaults. List all vaults, set a default vault, or remove a vault from the registry. The registry lives in the plugin directory and maps vault names to filesystem paths. Use when: "bedrock vaults", "bedrock-vaults", "/bedrock:vaults", "list vaults", "set default vault", "remove vault", "show vaults", "which vault", "my vaults", or when a user wants to manage their registered vaults.

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name: verifying-phd-citations

description: Verifies and formats APA 7 Korean academic citations across 14 source types, augments DOIs via CrossRef, and applies CopyKiller 99-rule avoidance. Use when the user requests APA 인용 검증, 참고문헌 양식 확인, CrossRef DOI 보강, 박사 논문 인용, or CopyKiller 회피.

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name: sssf

description: Super Simple Software Factory — deploy and operate repeatable agents+code workflows (ADWs) in any codebase. Use when the user says /sssf install, wants to create/run/update an ADW, manage the agent roster in sssf.config.yaml, or observe running agent workflows. Keywords - sssf, software factory, ADW, AI developer workflow, agent pipeline, install factory.

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name: watch

description: Watch a video (URL or local path) like an editor. Extracts scene-change frames, pacing metrics (cuts/min, shot length), and a dense 0-10s hook microscope; pulls transcript from captions or Whisper. Produces an ingest-ready `report.md` and, after answering the user, optionally auto-ingests the analysis into your Obsidian vault (configurable via `$WATCH_VAULT_DIR`) — tied to *why* the user watched it.

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name: agent-md-verify

description: Use when finishing work in a repository that has agent-md installed; runs the declared checks, updates memory/progress.md, and reports concrete verification evidence instead of self-grading.

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name: amazon-analyse

description: 对亚马逊竞品Listing进行全维度穿透分析，包括文案逻辑、评论分析、关键词分析、市场动态等。分析完成后自动保存为Markdown报告文档到reports/目录。Invoke when user uses /amazon-analyse command with a product ASIN.

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name: category-selection

description: 亚马逊品类自动化选品分析技能。通过五维评分模型对亚马逊品类进行深度市场调研，生成Markdown分析报告。当用户使用 /category-selection 命令或提出'分析XX品类'、'XX品类市场调研'、'XX品类选品'等需求时触发此技能。支持配置分析数量，默认Top20。

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name: home-assistant-manager

description: Manage Home Assistant configuration safely and fast — edit and deploy YAML (automations, blueprints, scripts, scenes, templates, MQTT), validate with ha core check, deploy via git or rapid scp, reload-vs-restart correctly, verify changes from logs, traces and entity state, and build Lovelace dashboards. Use for any Home Assistant config, automation, template, or dashboard work over SSH/hass-cli/MCP.

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name: keyword-research

description: 亚马逊关键词深度调研与智能分类分析。基于 Sorftime MCP 数据采集 2000+ 关键词，通过 LLM Agent 按 8 维度智能分类（否定词、品牌词、材质词、场景词、属性词、功能词、核心词、其他），生成 Markdown 报告、CSV 词库和 HTML 仪表板。触发方式：/keyword-research {ASIN} {SITE}

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name: product-research

description: 基于Sorftime MCP的深度选品调研。通过LLM Agent执行多维度分析：数据采集→属性标注→交叉分析→竞品VOC→壁垒评估→选品决策评估。交互式执行，输出Markdown报告和Dashboard看板。

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name: review-analysis

description: 对亚马逊商品评论进行深度分析，自动识别产品痛点、分析退货原因，生成改进建议和客服回复模板。Invoke when user uses /review-analysis command with a product ASIN.

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name: sif-amazon-research

description: Use this skill for Amazon e-commerce research, market validation, competitor analysis, traffic diagnosis, keyword strategy, advertising review, launch evaluation, and growth optimization using the Sif MCP server and Sif's real marketplace, traffic, keyword, sales, and ad data. Trigger when users mention Sif, Sif MCP, ASIN research, Amazon product opportunity research, keyword opportunity, competitor teardown, traffic drop/root-cause diagnosis, advertising structure review, or whether a product/market is worth entering, launching, scaling, optimizing, or abandoning.

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name: visual-evidence

description: Use for UI changes in an agent-md repository; captures a screenshot and writes the structured markdown evidence required by the visual hook.

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name: xiyou-insight

description: 基于西柚洞察MCP的亚马逊竞品分析与广告策略工具。提供7大核心工作场景：实时监控广告投放效果、快速找到高性价比流量缺口、快速拆解对标竞对打法、提升新品推广效率、精准拆解竞品流量以及广告策略、透视竞品广告策略和预算、高效搭建关键词库。适用于亚马逊卖家进行竞品分析、广告优化和关键词研究。

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name: anti-defensive-writing

description: Reduce defensive writing in drafts and revisions by removing unnecessary caveats, disclaimers, hedges, apology-like framing, negative self-limiting statements, and over-explanations while preserving necessary scope, accuracy, safety, legal, ethical, and methodological limits. Use when drafting or revising academic writing, papers, essays, abstracts, introductions, contribution statements, discussions, conclusions, technical explanations, grant writing, product writing, policy writing, professional reports, or any text the user wants to be clearer, stronger, more direct, more concise, more confident, less verbose, less caveated, less apologetic, or less defensive.

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name: anti-defensive-writing

description: Reduce defensive writing in drafts and revisions by removing unnecessary caveats, disclaimers, hedges, apology-like framing, negative self-limiting statements, and over-explanations while preserving necessary scope, accuracy, safety, legal, ethical, and methodological limits. Use when drafting or revising academic writing, papers, essays, abstracts, introductions, contribution statements, discussions, conclusions, technical explanations, grant writing, product writing, policy writing, professional reports, or any text the user wants to be clearer, stronger, more direct, more concise, more confident, less verbose, less caveated, less apologetic, or less defensive.

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name: seo

description: Deterministic LLM-first SEO audits for websites, blog posts, and GitHub repositories. Use this when the user asks to "perform SEO analysis", "run SEO audit", "analyze SEO", "check technical SEO", "review schema", "Core Web Vitals", "E-E-A-T", "hreflang", "GEO", "AEO", or GitHub repository SEO optimization. For full/page/repo audits, run bundled scripts for evidence and return prioritized, confidence-labeled fixes.

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name: gongkao-huasheng13

description: 公务员考试（国考/省考/联考）行测申论解题技巧与备考助手。基于花生十三公开教学体系，覆盖资料分析（ABRX体系、截位直除、415份数法、假设分配法）、数量关系（工程/行程/利润/排列组合/容斥/最值/年龄/几何）、言语理解（逻辑填空语境分析、片段阅读中心理解、语句排序）、判断推理（图形推理规律体系、定义判断要素法、类比推理关系层级、逻辑判断翻译推理与加强削弱）、申论（单一题/综合题/公文题/大作文结构）、常识判断、答题顺序与时间分配策略、套题实战复盘。当用户说"公考""国考""省考""行测""申论""花生十三""资料分析怎么提速""数量关系怎么蒙""逻辑填空""图形推理""定义判断""类比推理""逻辑判断""申论大作文""公文写作""行测做题顺序""套题复盘""415份数""截位直除""ABRX"时触发本 skill。提供解题步骤、速算技巧、真题示例、错题归因、备考计划。

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name: self-learning

description: Capture a hard-won "golden path" from the current session as a reusable Agent Skill, so future sessions start already knowing it. Use it (1) right after non-trivial debugging, after working out a multi-step operational workflow, or after rediscovering project facts you didn't know up front — e.g. how to reach the dev/prod database, where credentials and env vars live, how to deploy, run migrations, or verify a change live; and (2) whenever the user says "remember this", "save this as a skill", "make a skill for this", "don't make me re-explain this next time", or otherwise wants a workflow preserved across sessions. Proactively recognize the moment even when unprompted: if a task took several attempts before it worked, used non-obvious tooling, or is likely to recur, harvest it without asking first. Delegates to a subagent when your tool supports one, or works inline, to extract the proven procedure into a new project-local or global skill.

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name: 01-cinematic