Skills directory

Triage and resolve Debian Linux issues with apt, systemd, and AppArmor-aware guidance.

Turns implementation work into working code, reviewed and verified. Use when the user delegates a feature, story, bug fix, or meaningful change; a bare story or issue link counts. Skip obvious, low-risk mechanical maintenance such as small

Manages OKX Simple Earn (flexible savings/lending), Flash Earn, On-chain Earn (staking/DeFi), Dual Investment (DCD/双币赢), and AutoEarn (自动赚币) via the okx CLI. Use this skill whenever the user wants to check earn balances, browse flash-earn p

Monitors task execution for skill improvement opportunities: logs patterns, user corrections and methodology worth preserving to the workspace, turns them into skill updates in a weekly review, and flags repeating work as new skills. Use du

Visualize whether skills, rules, and agent definitions are actually followed — auto-generates scenarios at 3 prompt strictness levels, runs agents, classifies behavioral sequences, and reports compliance rates with full tool call timelines.

超圧縮コミットメッセージ生成。Conventional Commits形式で件名≤50文字、 「何を」より「なぜ」を重視。日本語・英語両対応。 「コミットメッセージ作って」「/commit」「/genshijin-commit」で起動。 ステージング変更時に自動起動候補。

Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character

Turn an idea or objective into a goal package for /goal. Interviews the user, builds a reviewed fact sheet via Plannotator, then explores the codebase to produce an execution plan.

Diagnose why an existing sales forecast is unreliable and recommend fixes - stage inflation and happy ears, sandbagging, deals without verifiable buyer evidence, stale or mass-pushed close dates, wrong forecast-category assignment, zombie a

Retrieves up-to-date documentation, API references, and code examples for any developer technology. Use this skill whenever the user asks about a specific library, framework, SDK, CLI tool, or cloud service — even for well-known ones like R

Generate a complete Rust Model Context Protocol server project with tools, prompts, resources, and tests using the official rmcp SDK

Create ASP.NET Minimal API endpoints with proper OpenAPI documentation

自然言語メモリファイル（CLAUDE.md, todos, 設定）を原始人形式に圧縮し入力トークン削減。 技術内容・コード・URL・構造は完全保持。圧縮版が原ファイルを上書き、人間可読版は FILE.original.md として保存。「/genshijin-compress <filepath>」「メモリファイル圧縮」で起動。

Build the complete hiring packet for a RevOps or Sales Ops role - archetype and level decision, outcome scorecard, interview stage map with a competency question bank and anchored rating scales, a work-sample exercise with rubric and debrie

Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.

Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/

Builds a developer relations measurement framework - a handful of metrics tiered from reach to product and business impact, each with a written attribution rule, a baseline-derived target, an owner and an action, and vanity metrics cut. Use

Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to "humanize", "naturalize", or "remove AI feel" from Finnish text, or when editing .md/.txt files containing F

全 genshijin モード・スキル・コマンドのクイックリファレンスカード。 1回限り表示・モード変更なし・状態永続化なし。 「/genshijin-help」「原始人ヘルプ」「原始人の使い方」で起動。

Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: system

超圧縮PRレビューコメント。1行1指摘: 位置・問題・修正。前置き削除、シグナル優先。 日本語対応。「PRレビューして」「コードレビュー」「/review」「/genshijin-review」で起動。 プルリクエストレビュー時に自動起動候補。

Evaluate and improve interface usability using heuristic analysis. Use when the user mentions "usability audit", "users are confused", "form usability", "navigation problems", "Nielsen heuristics", "cognitive walkthrough", or "is this easy

阿里云百炼图片/视频/语音生成与理解入口：用户要生图、画图、生成照片、生成图片、AI 绘画、海报、头像、插画、 文生图（text-to-image）、图生图、改图、修图、多图合成、生成视频、文生视频、图生视频、参考生视频、视频编辑、风格转换、 配音、语音合成（TTS）、朗读、转写、语音识别（ASR），或图片理解、看图问答、视频理解、读视频、多模态理解时使用 `bl image` / `bl video` / `bl speech` / `bl vision describe`

Build retail point-of-sale applications using Shopify's POS UI components. These components provide a consistent and familiar interface for POS applications. POS UI Extensions also supports scaffolding new POS extensions using Shopify CLI c

Comprehensive Power BI DAX formula optimization prompt for improving performance, readability, and maintainability of DAX calculations.

Set org-wide revenue data governance policy - which system is source of truth per object class (account, contact, opportunity, subscription, usage event, revenue metrics), how cross-team data contracts bind producers to consumers, where rev

阿里云百炼 `bl` 家族共享执行协议（consent 确认、版本预检、鉴权/安装、错误上报、本地文件与输出约定）。 不是面向用户意图的业务入口；当任一 bailian-* 业务 skill（bailian-cli / bailian-gen / bailian-finetune / bailian-managed-agent / bailian-sandbox / bailian-memory / bailian-web-search）执行前需要公共上下文，或用户首次安装/

Benchmarks a competitor's developer relations motion from publicly observable signals - documentation and quickstart quality, open-source repository health, community size and responsiveness, Q&A tag activity, content cadence by format, eve

Plans a quarter of developer-relations content as a dated slot plan with named owners and reviewers - fixed anchors (releases, launches, CFP deadlines, conferences), a surface, pillar, journey and shelf-life mix, and sizing against real wri

超圧縮コミュニケーションモード。原始人のように話してトークン使用量を約75%削減。 技術的正確性は完全に維持。強度レベル: 丁寧・通常（デフォルト）・極限の3段階。 「原始人モード」「短く」「簡潔に」「トークン節約」と言うか、/genshijin で起動。

Build and troubleshoot Cloudflare K2 or K2 Streams durable logs. Use for stream setup, producing from Workers or HTTP, configuring retention and inputs, and consuming through subscriptions.

Generate and edit images with OpenAI GPT-Image-2 via inference.sh CLI. Models: GPT-Image-2. Capabilities: text-to-image, image editing, inpainting, mask-based editing, multi-image reference, batch generation. Use for: product mockups, marke

阿里云百炼模型精调训练入口：用户要精调、微调、训练自己的模型（fine-tune，支持 SFT / SFT-LoRA / DPO / DPO-LoRA / CPT， 覆盖文本、语音、图像）、校验或上传训练数据集、看训练进度和日志、挑 checkpoint、导出精调产物、 把专属模型部署成服务时使用 `bl dataset` / `bl finetune` / `bl deploy`。链路是 validate 校验数据 → upload 拿 file-id → finetune

阿里云百炼托管 Agent 声明式基础设施与 API 命令入口：用户要创建agent、初始化 agents.yaml、校验或预览配置变更、 创建/更新/销毁托管 Agent 或 Deployment、在 Workbench 编辑和调试目录项目、管理本地快照版本，或查询 Agent/Environment/Skill/Vault/Deployment/Memory Store、管理 Session/Event/File/Webhook/记忆正文及版本、运行/暂停 Deploym

Designs the developer relations org - which function DevRel reports to (marketing, product, engineering, CEO, sales) and what that line starves, the shape (centralized, split, embedded, hub-and-spoke), the coverage map across advocacy, comm

Triage and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices.

原始人スタイル subagent への委譲判断ガイド。`genshijin-investigator` (コード位置特定)、 `genshijin-builder` (1-2ファイル編集)、`genshijin-reviewer` (diff レビュー) を inline作業 or vanilla `Explore` の代わりにスポーンするタイミングを示す。subagent 出力は原始人圧縮 → 主コンテキストに戻る tool-result が約60%縮小 → 長セッション持

Design and operate CRM field-level governance - who owns each CRM field, which system is authoritative for it, how often it must be refreshed, and how the rules are enforced. Produces a field dictionary, per-field ownership, a system-of-rec

Builds the tracking plan that instruments developer-relations surfaces - docs, blog, repositories, package registries, community venues, and off-web appearances - with an event taxonomy, an identity spine, link-tagging discipline, source-co

現セッションのリアルトークン使用量と推定削減量を表示。Claude Code セッションログから直接読込 — AI 推定なし。 `/genshijin-stats` で起動。出力は mode-tracker フックが注入し、モデル自身は数値計算しない。

Prepares a guest for someone else's technical podcast, YouTube interview, livestream or panel - show reconnaissance, the angle, an ABT message spine backed by evidence and stories, a self-contained opening answer, clip-safe sound bites, dep

Entry point and router for every Expo or EAS task. Load this skill first — before writing code and before choosing another expo-* / eas-* skill — when the request, PRD, or spec mentions Expo, EAS, Expo Go, or an expo-* package, or the proje

Build and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL. Use for streaming data into R2 Iceberg tables, managing catalogs, or querying those tables; also use for requests using the form

Turns a customer's real production deployment into a technical case study engineers believe - measured numbers tied to how they were measured, before-and-after architecture, published limitations, and cleared naming and quote approval. Us

Designs the go-to-market motion for a developer-facing product - bottom-up self-serve adoption, developer-influenced sales, top-down with developer proof, or ecosystem-mediated distribution - plus the self-serve entry, the developer-to-buye

Generate images with Pruna P-Image models via inference.sh CLI. Models: P-Image, P-Image-LoRA, P-Image-Edit, P-Image-Edit-LoRA. Capabilities: text-to-image, image editing, LoRA styles, multi-image compositing, fast inference. Pruna optimize

Runs press and light analyst relations for a developer-facing product - news qualification, the angle, a reporter-to-beat media map, the pitch, embargo and exclusive handling, the press page and briefing pack, and what coverage is honestly

Audits and rewrites a repository README so a developer who has never seen the project can tell what it is, why it beats the alternative, and run the first command inside a minute - every claim and the documented install verified against the

Engineers a technical demo so it survives the stage - risk triage, the fidelity tier it should run at, independently enterable checkpoints, a one-command environment reset, offline mode, a recorded fallback and rehearsed recovery lines, shi

Writes or audits a teaching tutorial for a developer product - one new concept per step, checkpoints the learner can verify and resume from, guidance that fades, troubleshooting hooks, and a demonstrable skill at the end. Use whenever the u