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概要と使いどころ
Design and execute a 14-day GitHub repository growth sprint using README conversion, competitor-window research, Reddit, Hacker News, launch directories, community activation, and contributor loops. Use when launching an open-source repository, diagnosing weak star conversion, or building sustained GitHub discovery without buying stars.
日本語の概要は準備中です。原文の説明を表示しています。
Stop the background HTTP registry server started by /start-http-registry — TaskStop / KillShell by the recorded task ID, plus a /proc cmdline-scan fallback for minimal-tool sandboxes with no ps/lsof/pkill/fuser. Referenced by every warp deploy/update skill that starts the registry.
日本語の概要は準備中です。原文の説明を表示しています。
Analysis of aggregate economic phenomena -- GDP measurement, inflation dynamics, unemployment theory, monetary policy (central banks, interest rates, money supply), fiscal policy (government spending, taxation, debt), and the business cycle. Covers Keynesian, monetarist, and new classical perspectives. Use when analyzing national or global economic conditions, policy debates, economic growth, recessions, or the interaction between monetary and fiscal authorities.
日本語の概要は準備中です。原文の説明を表示しています。
新号没粉丝、推文没人看、怎么度过冷启动时用。涨粉四步漏斗(曝光→展开→Profile门面→关注)诊断丢哪步,按边际回报排序投六策略:大V评论区抢占(最高)/引用转发+深度观点/每日发推/互关社区(≤15/天)/蹭热点/互动率优先;前24h主动加热突破初始池。Trigger:"没粉丝""帖子没人看""冷启动""怎么起量""0 followers""no engagement""cold start"。不适用:开业前装修/蓝V/养号(→x-account-setup)、已有稳定粉丝日常运营、限流封号排查(→x-account-pitfalls)、纯评论技巧(→x-comment-engagement)。
日本語の概要は準備中です。原文の説明を表示しています。
Start a local Git rebase when the user explicitly requests replay of a named source ref, or of the current branch, onto a named target, including a rebase-then-push request, which carries exact-lease publication to the branch's own remote destination, or continue or abort an active rebase. Use only when local history replay will start or is active; do not use for merge-based branch updates, repository merge settings, pull-request or merge-request merging, or push-only requests.
日本語の概要は準備中です。原文の説明を表示しています。
Score your Claude Code environment on a fun 0-10 ladder (Tourist → Swarm) calibrated to the quickstart's 4 systems — Context, Skills, Integrations, Orchestration. Two front doors - an interactive quiz (zero setup, shareable) or a silent scan of your repo. Outputs a next-level roadmap plus a branded HTML dashboard or a paste-anywhere ASCII card. The default mastery skill of this quickstart. Triggers - "level", "what's my claude code level", "claude code level quiz", "assess my setup", "how good is my setup", "claude code maturity"
日本語の概要は準備中です。原文の説明を表示しています。
Start an authorised Anabasis v2 campaign through its one command, which asks the log before each move whether the move can report anything, or stop a named run and release what it held. Use when the operator asks to start, launch, resume or stop a campaign or a run, to check whether a campaign is ready for its next move, or why a move was refused. Owns the start and the stop; run-improvement-campaign reads the table, and whole-run-investigation reads what a run did.
日本語の概要は準備中です。原文の説明を表示しています。
Prepare to work on a GitHub issue or RFC. Use when the user says /start-work, asks to start an issue, begin an RFC implementation, or pick up a task. Creates the branch, gathers context, and checks learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Use whenever the user wants to find, rank, or shortlist directories, listing sites, or launch platforms where they can submit a software product, SaaS, app, tool, or startup — to get backlinks, referral traffic, and launch-day reach. Triggers on "where can I submit my SaaS for launch", "list of Product Hunt alternatives", "directories to get backlinks for our app", "high-authority software listing sites", "where should I list my startup", or "pull submission details for these 8 directory domains", even when described indirectly (we're launching next week, where do we post; how do we get backlinks by listing in directories). Drives the ServiceGraph API (api.servicegraph.co) — a catalog of 1,000+ product directories enriched with Domain Rating, backlinks, and organic traffic. Defer to find-mcp-directories for MCP-server listings and find-ai-directories for AI-tool / AI-agent / agent-skill listings. Skip finding a firm/agency to hire (use the find-* agency skills), finding products *inside* a directory ("recommend the best CRM"), building a directory site (do-the-work), local/business directories for brick-and-mortar listings, and link-building *services*.
日本語の概要は準備中です。原文の説明を表示しています。
First-run onboarding for the marketing harness. Walks new users through product discovery, generates MARKETING.md, and recommends the first command to run. Use when a user has just installed Kai and types /kai-start, "get started with Kai", "set up Kai", "first time using Kai", or when MARKETING.md doesn't exist yet.
日本語の概要は準備中です。原文の説明を表示しています。
Master orchestrator that chains all Remotion video creation skills together in a single automated pipeline. Takes a creative brief and produces a complete, production-ready Remotion video project. Use when starting a new video from scratch, when asked to "create a video", "make a video", "build a complete video", or "video from idea to code".
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user wants a research-paper figure Skill Factory: build, patch, package, or use reusable specialized paper-figure-making skills from lawful literature/corpus evidence. Generated skills must use a specialized-skill-first workflow, full-feasible local PDF coverage where available, startup-plan-only first replies, target-paper candidate/final image isolation, mandatory image-embedded visual-structure explanation, mandatory non-target concept/modeling example display for abstract visual decisions, saved subtype/style illustration atlases, ChatGPT web Create image / ChatGPT Images 2.0 rendering, Codex $imagegen-first rendering, sample-image transfer rules, all-step/current-position state footers, and a mandatory first-round diverse candidate board followed by P6b/P6c paper-local best-practice optimization before final prompt construction.
日本語の概要は準備中です。原文の説明を表示しています。
議論・議事録・選定された施策を起点に、対象リポジトリの実構造にgroundした「エンジニア向け Story（User Story + Acceptance Criteria）と Spec（技術仕様）」をSubagentで収束生成する。target_repoで対象コードベースを、backlog_db_urlで起票先バックログを選べる汎用スキル。抽象的な打ち手を実装可能な仕様へ絞り込む収束フェーズの実行に使う。
Structures fresh-start accounting analysis with reorganization value allocation, new basis determination, and emergence balance sheet. Use when modeling fresh-start accounting, preparing emergence financials, or allocating reorganization value.
日本語の概要は準備中です。原文の説明を表示しています。
Assesses startup viability through business model canvas analysis, unit economics validation, and market timing evaluation. Use when evaluating startup pitches, analyzing business model sustainability, or assessing product-market fit.
日本語の概要は準備中です。原文の説明を表示しています。
Simulates a realistic VC Investment Committee: three partner archetypes debate a startup's merits, concerns, and deal terms, scored across 28 dimensions. Use when the user asks to simulate an IC, or how partners would debate their startup, and gives a deck, a company description, or a specific fund. A full run takes about 15–20 minutes, so for a passing question such as 'would a VC fund us?' or 'are we fundable?', answer briefly in chat and offer the simulation instead of starting it. When it runs, partners' views come from the scored simulation, never improvised.
日本語の概要は準備中です。原文の説明を表示しています。
Maps a startup's competitive landscape, scores moat strength across 6+ dimensions, and writes an investor-ready competition narrative with a positioning map. Use when the user asks for a competitive landscape, moat analysis, or positioning review and gives enough to work from: a deck, a list of competitors, or a clearly named startup. A full run takes about 30–40 minutes and searches the web, so for a passing question such as 'who are my competitors?' or 'is that a real moat?', answer briefly in chat and offer the analysis instead of starting it. When it runs, the competitor set and moat scores are checked adversarially, never recalled from memory.
日本語の概要は準備中です。原文の説明を表示しています。
Specific rules for Starknet React projects, focusing on blockchain integration.
日本語の概要は準備中です。原文の説明を表示しています。
Scaffold a new iOS app with SDLC and submission-safe defaults — diffable project files, app + test targets, deployment-target policy, a git-stamped build number, and the Info.plist keys the pre-flight checker wants so the project passes TestFlight from day one. Use when starting a new iOS project.
日本語の概要は準備中です。原文の説明を表示しています。
Agent Brain /brain-start: a user starts from a vague request, idea, task, or product ambition.
日本語の概要は準備中です。原文の説明を表示しています。
行为面试 skill。帮求职者挖掘真实经历、用 STAR/CAR 结构化、映射能力标签、构建可复用的中英双语故事库（Story Bank）；并能接入 JD + 简历，针对具体岗位生成 Top 20 BQ 选题 + 基于真实经历的 STAR 准备模板（HTML 报告）。不是背答案，而是建立可复用的职业叙事体系，让任何行为面试题都能自然作答。关键词：behavioral question, BQ, 行为面试, STAR, 故事库, Amazon LP, 职业故事, tell me about a time, 面试准备, JD 面试题预测, top 20 题。
日本語の概要は準備中です。原文の説明を表示しています。
Read a CONTINUE_HERE.md continuation file at session start and resume from where the prior session left off. Covers detecting the file, assessing freshness, parsing the structured handoff, confirming the resumption plan with the user, and cleaning up after consumption. Optionally configures a SessionStart hook and CLAUDE.md instruction for automatic pickup. Use at the start of a session when a continuation file exists, when bootstrapping after an interrupted session, or when setting up automatic continuation detection.
日本語の概要は準備中です。原文の説明を表示しています。
Create or improve a Senpai target repository's program.md. Use this skill whenever the user wants to point Senpai at a fresh ML or research target repository, define the research objective, primary metric, benchmark contract, allowed edit boundaries, W&B reporting contract, or prepare a repo for autonomous advisor/student experiment loops.
日本語の概要は準備中です。原文の説明を表示しています。
Assemble the human genetic evidence for and against a target before a programme commits to it — the evidence class that most improves the odds of surviving clinical development. Use this skill to pull gnomAD constraint metrics (LOEUF, pLI, observed/expected) that show whether loss of function is tolerated in people, retrieve GWAS Catalog associations and fine-mapped credible sets for a gene, and read a natural human knockout as a safety readout. Also trigger on gnomAD, LOEUF, pLI, loss-of-function intolerance, mutational constraint, GWAS Catalog, credible set, human knockout, genetic support, or target safety dossier.
日本語の概要は準備中です。原文の説明を表示しています。