「how」の検索結果

Design a research study. Use when the user says "study design", "design my research", "what research method should I use", "how do I test this hypothesis", "research plan", "methodology section", "experimental design", "survey design", "qualitative study design", "how to structure my study", "sample size", "data collection plan", or needs to plan how to test a research question or hypothesis - even if they don't explicitly say "study design".

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Use when the user says "map out our business model", "business model canvas", "how does our business work", "what are our key resources", "define our value proposition", "revenue model design", "cost structure", "who are our key partners", "lean canvas", "business model design", "how do we make money", or wants to document, stress-test, or redesign how [your startup] creates, delivers, and captures value.

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Use when creating a new Salesforce custom object: naming the object and setting its API name, selecting optional features (Activities, Chatter, History Tracking), choosing an org-wide default sharing model, and creating a tab. Triggers: 'create a custom object', 'new custom object setup', 'what sharing model should I choose', 'how do I create a tab for my object', 'object features like activities and history tracking'. NOT for designing the fields on the object - use admin/custom-field-creation. NOT for sharing rules or role hierarchy configuration - use admin/sharing-and-visibility. NOT for lookup-vs-master-detail and junction design - use data/data-model-design-patterns. More triggers: 'custom object records not showing in search', 'sharing model greyed out on my object', 'auto number restarted at 1 after deploy', 'cannot create a queue for my custom object', 'CustomObject deploy failed enableBulkApi', 'field history tracking shows no rows'.

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This skill should be used when the user gives a SaaS product's landing page URL, homepage, or name and asks for a full teardown or deep-dive of how the product works across web, desktop, and mobile — including per-platform feature inventories and user journeys, tech stack, pricing/plan mapping, how the platforms integrate and sync (and the business logic behind those choices), hardware integrations, business-scale/revenue signals, and concrete release artifacts per platform — with a structured Markdown report as the deliverable. Trigger on phrases like "research this SaaS", "do a platform teardown of X", "map every feature of this product across web/mobile/desktop", "reverse-engineer how this app works everywhere", or a bare URL plus a request to understand the whole product.

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。

根据最新的AI领域资讯或周报，持续迭代更新AI全球监管政策Know How知识库。当用户需要基于资讯更新AI监管知识库，或从零创建AI监管Know How文档时使用此技能。

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 a self-contained polished HTML showcase page for a topic/artifacts; mission + paths given explicitly, never auto-scans repo. Writes to assets/showcase/<mission>/. Screenshots need Puppeteer.

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Classify the severity of hypercalcemia at the bedside — mild, moderate, or severe — by combining the corrected/ionized calcium level with the acuity and symptom pattern, and decide whether the patient needs urgent therapy. Trigger when a clinician asks "is this hypercalcemia severe", "how bad is this calcium level", "when to admit for hypercalcemia", "is this hypercalcemic crisis", "how to grade hypercalcemia", or shares a calcium level and asks how worried to be.

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Save, load, update, delete, merge, and navigate entity objects using TMS Aurelius ORM (TObjectManager). Use when the user asks how to persist or retrieve data with Aurelius, manage object lifetime, work with associations or collections at runtime, handle transactions, use cached updates, or control concurrency. Does NOT cover query DSL or criteria/projections (those are in a separate skill). Triggers on requests like "save an entity with Aurelius", "load a customer from the database", "add items to a collection", "how do I update an object", "flush changes", "delete a record with Aurelius", "merge a transient object", "how do transactions work in Aurelius", "batch updates Aurelius".

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Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"

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Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: "How does X work?", "What calls this function?", "Show me the auth flow"

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Fetch dependency source code to give AI agents deeper implementation context. Use when the agent needs to understand how a library works internally, read source code for a package, fetch implementation details for a dependency, or explore how an npm/PyPI/crates.io package is built. Triggers include "fetch source for", "read the source of", "how does X work internally", "get the implementation of", "opensrc path", or any task requiring access to dependency source code beyond types and docs.

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[Process] Use when the developer wants something explained or taught, or wants to know HOW TO REVIEW a change — by default the current working tasks + changes in context, or whatever the prompt names (a plan, a subsystem, a decision, a concept, a bug). AI derives WHAT to explain from the prompt and ALWAYS delivers a teacher-and-coach review guide, high level first then detail: what was done, a VISUAL MAP (system flowchart, domain ERD, sequence diagrams), the user stories and business rules with their REAL test-case IDs, a REVIEW PATH naming which files to open first and in what order with an exit criterion per stage, the technical concepts needed to follow it, how it works, why THIS solution, every alternative option with pros/cons, the trade-offs accepted, the blast radius, HOW TO TEST AND DEMO the change, the developer's decision levers, and written challenge prompts that provoke the reader to pressure-test the work. Works at ANY scope — from one line of code to the whole project: it SIZES the target into a scope tier, DECOMPOSES a large one into understanding groups, BREAKS the work into tasks before the first deep read, and ACCUMULATES the report group by group on disk so a huge explanation stays complete instead of thinning out. Writes the full report to a single combined markdown file (plans/reports/understand-*.md) that opens with a detailed summary section — or delivers it in full in chat when Step 3 finds no git-ignored directory for it — and always summarizes it in chat. Regardless of coding level. Never interrogates, never quizzes, never blocks.

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[Documentation] Use when you need to generate a step-by-step demo guide (demo script / walkthrough) covering all main user stories and their test cases — scope from a named feature, else the current working context, else confirm with the user — explaining for each case how the domain data is stored/changed and how the domain solves the feature. Triggers: demo guide, generate demo guide, demo script, demo walkthrough, how to demo, prepare demo, sprint demo, user story demo.

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Before improving anything, show the spread of what can concretely be done on this specific input — a short menu of 3-5 interventions from lightest to heaviest touch, then wait for the user to pick. Domain-agnostic; works on any material the user hands over. Trigger when the user says "spread", "show me my options", "what can you do with this", or asks to improve or fix something without specifying how. Do NOT trigger when the user has already named a specific fix — then just do the fix.

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Observe the harness itself — (WS1) measure context budget as a deterministic, trendable inventory (tokens per CLAUDE.md / skill / agent, lexical redundancy, per-CI cold-write totals; committed history.jsonl), (WS2) reconstruct the real invocation trace (which skills/agents/tools fired and how they nested) from session transcripts, and (WS-A) roll the per-run CI traces up into a committed weekly usage record (per-skill invocation counts; usage.jsonl) — the usage side of the dead-weight join. Use for "context budget", "how big is CLAUDE.md / our skills", "is the harness bloating", "how do our agent loops actually run", "which skills actually get used", "trace this session", "loop station".

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。

How game development works as a process — roles, subtasks, workflows and role descriptions, especially (but not only) for Roblox. Use this skill when it's about the ORGANIZATION of game dev rather than concrete code: Which roles exist (Creative Director, Engineer, Artist, Polish/Audio, Business, QA-Tester, Game Critic)? Who does which subtask? What does a development chain (concept → backend → frontend → polish → test) look like? How do you write a Game Design Document / KONZEPT.md? How do several (AI) agents divide up a game? Also trigger on "plan a new game", "create Game Design Document", "which roles do I need for my game", "development workflow for a game", "who tests the game", "structure a game idea", "Roblox genre/monetization".

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Work with SuperCollider projects as files - the shape of a .scd piece, how to read and write one with sc_project, how to send the file that is on disk into the live session with sc_load, what state belongs in the session and what belongs in the file, and how to package a piece the SuperCollider way (a folder with its .scd, its SynthDefs, and a Quark-style layout) instead of inventing a format.

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Read-only measurement of an agent's autonomy debt from its approvals log: how many times it asked the human for permission in a window, how many asks expired unanswered, and which classes they fall into (machine noise, login or 2FA, physical UAC, money). Use to find asks the agent should have decided itself and to cut needless interruptions. Triggers: /ask-debt, autonomy debt, how often do I ask, expired asks.

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When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' 'ideas to grow,' 'what else can I try,' 'I don't know how to market this,' 'brainstorm marketing,' or 'what marketing should I do.' Use this as a starting point whenever someone is stuck or looking for inspiration on how to grow. For specific channel execution, see the relevant skill (ads, social, emails, etc.).

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。

Comprehensive social media operations for B2B SaaS brand building and engagement. Use this skill to develop LinkedIn strategy, decide whether to run a LinkedIn newsletter and how to scope it, capture consented registrations from LinkedIn Events, check LinkedIn Live eligibility, manage Twitter/X presence, create YouTube content, engage on Reddit communities, build community, develop influencer and creator partnerships, vet a creator before paying them, start or fix a B2B podcast, book podcast guests and guest appearances, write show notes and transcripts, and execute organic social campaigns. Also triggers on: LinkedIn, LinkedIn newsletter, LinkedIn Events, LinkedIn Live, event registration form, subscribe to our newsletter on LinkedIn, marketing consent checkbox, Notify Employees, Twitter/X, YouTube, Reddit, community, influencer, creator partnerships, influencer vetting, engagement rate, fake followers, engagement pods, FTC disclosure, sponsored post disclosure, media kit, social media strategy, organic social, employee advocacy, podcast, podcast strategy, podcast guesting, show notes, audiogram, episode transcript.

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。

Field marketing, events, and webinars for B2B SaaS. Use this skill for conference and sponsorship selection, booth strategy, owned events and roadshows, executive dinners, the webinar program, and event-sourced pipeline measurement. Also triggers on: field marketing, events, conference, trade show, booth, sponsorship, roadshow, executive dinner, webinar, event ROI, event pipeline, user conference, meetups.

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。

Marketing analytics and data-driven optimization for B2B SaaS campaigns. Use this skill when analyzing marketing performance, optimizing conversion rates, running A/B tests, conducting customer research, creating marketing dashboards, building attribution models, analyzing funnel metrics, or storytelling with data. Also triggers on: marketing ops, performance analytics, CRO, A/B testing, data storytelling, customer insights, tracking plan, event taxonomy, UTM taxonomy, GA4 audit, consent mode, instrumentation contract, sample size calculation, minimum detectable effect, test duration, not enough traffic to A/B test, statistical significance, Bayesian vs frequentist, sample ratio mismatch, experiment feasibility, martech stack, marketing tech stack audit, tool consolidation, build vs buy, vendor evaluation, shadow IT tools, ESP/CRM/platform migration, switching cost, cutover plan, suppression list migration, data portability, customer interviews, survey design, sampling frame, non-response bias, how many people should I interview, thematic saturation, voice of customer, jobs-to-be-done, buyer persona research, is this finding real, data enrichment, which enrichment provider should we buy, waterfall enrichment, contact data quality, match rate, our list data is bad, email verification, catch-all domain, accept-all, bounce rate from bad data, B2B data decay, how often should we re-verify contacts, ZoomInfo vs Apollo vs Clearbit evaluation, cost per usable record, where did this list come from, GDPR Article 14 notice, purchased list compliance, suppression screening, TAM list building, demand planning, marketing plan, how many leads do we need, what pipeline target should marketing carry, funnel model, top-down vs bottom-up plan, plan of record, annual marketing planning, quarterly planning, pipeline coverage we have to create, sales cycle lag, our leads cannot close this quarter, carry-in pipeline, scenario planning, conservative moderate aggressive forecast, stretch target, reforecast, re-forecast triggers, assumption register, capacity ceiling, addressable audience ceiling, marginal cost per lead, blended CPL is wrong, we missed plan and nobody knows why.

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Report AI token usage and estimated costs. Use when: owner asks about costs today/yesterday/this week, per session, or per model. Shows main session, cron jobs, and subagents. Answers: 'how much did today cost?', 'how much was this session?', 'what was last week's spend?'

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。

Step-by-step setup and troubleshooting for connecting an owner's Google Calendar to an OpenClaw agent with read and write access. Use when: setting up calendar access for the first time, fixing read-only access, re-authenticating a broken Google connection, explaining the difference between the owner's Google account and the agent's Google account, how an OpenClaw agent accesses Gmail or Google Workspace, where credentials are stored, how to use the agent inbox, how to give the agent write access to the owner's calendar, or guiding another agent or user through the email or calendar setup model.

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。