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Define a creator's brand foundation — niche, audience, positioning, content pillars, voice/tone, and bio — so every post is consistent and on-brand. Use when asked to define a creator brand, find a niche, set content pillars, write a voice guide, craft a bio, or build a brand kit for a personal brand or channel. Produces a reusable one-page brand kit that other content skills can read so output sounds like you, every time.

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。

Fetch live cryptocurrency prices with zero API keys — CoinGecko's public endpoints primary, Coinbase spot fallback, via plain curl. Use when asked what's bitcoin at, ETH price in euros, how's the crypto market today, or price of some altcoin. Produces the current price with 24h context, the source and timestamp, the rerunnable command, and the volatility caveat that crypto answers must carry.

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。

Write calm, businesslike co-parenting messages that keep the focus on the kids and stay out of the old conflict — for scheduling, expenses, decisions, and hard topics. Use when asked to write a message to my co-parent, respond to my ex about the kids, co-parenting communication help, or how to reply without a fight. Produces a message drafted in a neutral, child-centered tone (the 'BIFF'-style brief/informative/friendly/firm approach), the bait removed, a clear ask or answer, and a note on documentation — steering away from anything that escalates. Not legal advice.

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。

Build a smooth client-onboarding process that starts projects on the right foot — clear expectations, the info you need, and a professional first impression that prevents problems later. Use when asked to onboard a new client, create an onboarding process, kick off a client project, or client welcome packet. Produces a welcome and kickoff flow, the intake you need to start, expectation-setting on scope/comms/timeline/payment, a kickoff-meeting agenda, and the templates to reuse — so onboarding is consistent, not improvised, and prevents the scope and communication problems that sink projects.

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。

Run a 复盘 (fupan), the structured project review widely used in Chinese companies: review the goal, assess the result, analyse why, and draw rules for next time, with a blame-free tone and owned actions. Use when asked 帮我做复盘, 项目复盘, 活动复盘, 复盘会怎么开, or a fupan or retrospective in Chinese. Produces the 复盘 document in Chinese with goal versus result, root causes split into controllable and uncontrollable, lessons stated as reusable rules, and an action list with owners and dates, plus a meeting agenda.

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。

Triage a raw bug report into something a team can act on — clean repro steps, a defensible severity/priority, environment, likely area/owner, and duplicate check. Use when asked to triage this bug, set severity and priority, is this a P1, or clean up this bug report for the backlog. Produces the normalized repro, a severity and priority with the reasoning (impact × frequency × workaround), the environment/metadata, a suspected component and owner queue, and a duplicate/related-issue check — flagging when info is missing rather than guessing.

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。

Write a client case study that sells future work — challenge, approach, results. Use when asked to write a case study, a client success story, a project write-up, or a portfolio case for consulting/agency work. Produces a results-led case study — the client & challenge, your approach, quantified outcomes, a client quote slot, and a takeaway — structured to win the next client. Ready to export as a designed PDF.

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。

Decode a 401k or workplace retirement plan — the real cost of its funds, the match's fine print, vesting math, and the plan features worth using or avoiding. Use when someone asks 'is my 401k any good', 'decode my 401k plan', 'which funds should I look at', or 'what fees am I paying'. Produces a fee decode in dollars-over-time, match and vesting math, a fund-lineup triage by cost, and the questions for HR or the plan administrator.

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。

Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a generic one you have to keep correcting. Use when asked why does AI give me generic answers, how do I give AI better context, my AI results are mediocre, or how do I get it right the first time. Produces the specific context this task needs (who/what/constraints/examples/format), a reusable primer you can paste ahead of the request, the difference between a starved prompt and a well-briefed one, and what to leave out — turning vague back-and-forth into a strong first result.

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 asked to walk me through an annual report, teach me to read this 10-K, explain a company's accounts to a beginner, or tutor me on the financial statements in an uploaded report. Walks a beginner up a fixed six-rung ladder — statement map, balance sheet line by line, operating profit to free cash flow, five sector-appropriate ratios with healthy ranges, the sceptical read, then a reusable checklist and a five-question quiz. Produces a page-referenced tutorial in which every figure cites the page it came from and anything missing is marked 'not disclosed in this report'. Educational, not financial advice.

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。

Decide when and how your product and communications must (or should) label AI-generated content, and write the disclosure policy — surface-by-surface rules, exact label wording, and the review trigger for regulations like the EU AI Act's transparency obligations. Use when asked 'do we have to label AI content', 'write our AI disclosure policy', 'are we covered for the AI Act', or when marketing/support/product start shipping AI-generated output. Produces a disclosure policy with a per-surface matrix and ready-to-use label copy. Not legal advice.

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。

Keep a change small and in the existing idiom - size the plan and weigh smaller alternatives before writing it, reuse the mechanism that already owns the behavior instead of adding a parallel one, and simplify the diff before handoff. Use when planning any change beyond a few lines, before readying a PR, or when reviewing agent-written code for bloat.

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。

Search Newark, Farnell, and element14 for electronic components — find parts by MPN or distributor part number, check pricing/stock, download datasheets, analyze specifications. One unified API covers all three storefronts (Newark for US, Farnell for UK/EU, element14 for APAC). Free API key, simple query-parameter auth, no OAuth. Datasheets download directly from farnell.com CDN with no bot protection. Sync and maintain a local datasheets directory for a KiCad project, or use batch MPN-list seeding (`--mpn-list`) for bulk workflows without a project. Use this skill when the user mentions Newark, Farnell, element14, needs parts from a non-US distributor, wants to compare pricing across regions, or needs datasheets from a source that doesn't require complex API auth. For package cross-reference tables and BOM workflow, see the `bom` skill.

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。

Help users master the art of leading without formal authority by identifying stakeholder incentives, neutralizing conflict through connection, and using co-creation to build shared ownership.

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 triaging, classifying or landing Dependabot pull requests in this repo — clearing the open Dependabot queue, deciding whether a bump needs a WW Jira ticket, or checking whether a bump's build actually passed.

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。

Neural web search with page text: one call returns ranked sources with snippets. Trigger phrases: exa, exa search, search the web.

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。

Generate a swinging spotlight text-reveal HTML animation with configurable text, swing angle, lamp scale, glow, and colors. Use when users ask for 聚光灯扫字动画, spotlight text reveal, light logo reveal, 发光文字揭示动画, or want a reusable HTML animation instead of a static image.

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。

Debugs failing GitHub Actions CI runs for PostHog PRs, commits, and branches, and answers broad CI-health questions ("is CI red?", "is master green today?", "what's broken right now?"). Use when the user asks why CI is red, asks for the current CI or master status, or mentions a failing check, GitHub Actions run, Depot runner, workflow, job, shard, merge queue kick, flaky test, lint failure, typecheck failure, snapshot diff, migration check, generated types drift, or skills build failure. Start with the `hogli ci:insights` digest (cross-run CI history from engineering analytics), then guides read-only inspection, failure classification, smallest local reproduction with hogli, and safe reporting without rerunning CI or posting to GitHub. Running unattended as the "Master-red diagnosis" workflow: see references/master-red-incident.md.

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。

SpecStory Lore - mine your SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more) into a persistent corpus, surface your reproducible workflows with corroborated evidence, and interactively forge the chosen ones into skills installed across all your agent harnesses. Use when the user wants to turn past AI coding sessions into reusable skills, asks "what could I make into a skill", "mine my lore", "forge skills from my history", or points at a .specstory/history directory.

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。

Run fast, progressive experiments to map tunable parameters and their effects. Use when optimizing code, prompts, configurations, or other artifacts against a goal or benchmark, or when a long research run needs a planned hypothesis queue, focused trials, and durable findings.

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。

Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.

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。

Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.

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。

Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes.

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。

Decode an international (non-US) VIN using the CarsXE API. Use this when a user provides a VIN from a European, Asian, or other non-US vehicle and wants to decode it.

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。