'persona' 검색 결과

Derive a SET of simulation personas for an agent from product artifacts — backend payloads, UI screenshots, journey/product docs, and sample real user messages — instead of designing one persona by hand. Identifies who actually interacts with the agent and how they behave, then creates the personas via the CLI. Best for text/chat agents and for new agents with no interaction history. Use when the user says "make personas from these screenshots/payloads", "who are my users", "create a set of personas", "derive personas from my product", "build a persona library", or "I have backend data, turn it into personas".

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Set up personal AI agents that join Squad sessions across projects. Manage their roles in a user configuration directory, inspect the combined team, and use agents that read project state and offer advice without writing to it.

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• Use the same advisory agents across projects
• Add or remove personal agents
• Check project and personal agents in one roster

Build or refine the Ideal Customer Profile (ICP) and personas using the Jobs-to-be-Done framework (Clayton Christensen / Bob Moesta). Use when the user asks for ICP research, persona development, "who are our customers", buyer personas, audience research, "build our ICP", target customer definition, or wants to update persona docs. JTBD interview questions, three job dimensions (functional/emotional/social), and the Four Forces of Progress are wired into every persona. Writes to knowledge/icp/personas.md so all other skills get smarter. For the individual buyer persona rather than the segment, see customer-persona. For sourcing real customer language, see customer-research.

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Builds DRAFT user personas from the research notes, interview summaries, survey free text and support themes the user provides: for each persona the goals, pains, jobs to be done, context of use, quotes exactly as supplied with their participant codes, and the evidence count behind every attribute, with names, demographics and any detail no participant stated left UNKNOWN rather than invented. Use when the user asks to "build personas from these interviews", "who are our users based on this research", "draft user personas", "turn these research notes into personas" or "update our personas with the new interviews". Do not use for theming a batch of customer feedback into counts, use customer-feedback-theme-synthesis instead; for exit interviews, use exit-interview-synthesis; for the requirements those personas imply, use product-requirements-draft. Drafts for human review; never approves, authorises or signs off.

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Erstellt und verwendet einen anbieterneutralen semantischen Routing-Graphen aus Personas, koordinierenden Rollen, Experten und aktiven Skill-Endpunkten. Verwenden, wenn ein LLM eine Anfrage von einer Leitrolle über einen Experten zu einem Skill routen, aus einem vorhandenen Agentensystem einen portablen Persona-Router extrahieren, eine semantische Domänenkarte mit einer lexikalischen Skill-Registry kombinieren oder fehlende Verbindungen zwischen Rolle und Skill sichtbar machen soll, statt still auf einen Ersatz zurückzufallen. Auslöser sind unter anderem semantisches Persona-Routing, Persona-Umbrella, Rollen-Router, Boss-Agent-Experten-Skill-Routing, Agentenrollen-Export oder die Wiederverwendung von Personas über mehrere LLM-Anbieter hinweg.

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OpenClaw 에이전트의 배경, 성격, 행동 원칙과 이름을 설계합니다. 취향이나 무작위 추첨으로 일관된 설정을 만들고 설정 파일과 아바타 이미지 생성 프롬프트를 정리합니다.

• OpenClaw 페르소나를 처음부터 설계
• 무작위 추첨으로 설정 후보 탐색
• 초기 설정에 이름과 행동 원칙 추가

Use when starting work on a PERSONAL brand — a founder, coach, or creator, not a company: creates `.agents/personal-brand-context-global.md` covering story, expertise, audience, positioning, platforms, visual identity, and the asset inventory of style refs, face refs, logo, palette, and background, with region variants for US, EU, SEA, and LATAM. Skills 23 to 28 read it first. Trigger on 'personal brand setup', 'set up my founder brand', 'coach personal brand context', 'creator profile setup', 'the AI does not know my story', 'build my personal brand from zero'. Not for — a company or product brand, see `00-marketing-plan-global` and `product-marketing-context-global`; the 12-month strategy built on this, see `23-personal-brand-strategy-global`.

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Developer personality portrait generator. Supports subcommands: (1) 'generate my portrait' / 'analyze my personality' — full analysis; (2) 'update my portrait' — incremental update since last analysis; (3) 'install persona from <url>' — install community persona from GitHub; (4) 'list personas' / '我安装了哪些人格' — show installed; (5) 'remove persona <id>' — uninstall; (6) 'think like <name>' / '像<name>一样思考' — activate a persona. Also triggers on 'vibe-portrait', 'what kind of developer am I'.

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Turn user data and interviews into research-backed personas, or representative user profiles. The toolkit also supports mapping user journeys, planning usability tests, and combining research findings to guide and validate design decisions.

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• Creating personas from user data and interviews
• Mapping the steps of a customer journey
• Planning usability tests to validate a design

Create a detailed chapter-by-chapter reading companion from an EPUB or PDF, connecting the book’s ideas to experiences and words saved in your personal knowledge store. The result highlights parallels without prescribing actions.

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• Connect a book’s ideas to personal experiences
• Review detailed chapter summaries alongside personal reflections
• Create a parent’s guide for reading a children’s book aloud

Turn survey responses, interviews, and other research data into three distinct user personas. Each profile explains the outcome users seek, their main difficulties, desired benefits, an unexpected behavioral insight, and how well the product meets their needs.

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• Creating three personas from survey responses
• Grouping interview findings by user goals and behavior
• Comparing user needs to guide product decisions

Customize a project's Docker environment with personal tools such as vim, ripgrep, or jq. The skill prepares user override files, adds requested packages, and provides rebuild commands while keeping personal configuration out of Git.

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• Adding an editor or search tools to a container
• Keeping personal settings separate from shared files
• Customizing a source-built development environment

Create and manage writing personas with NNGroup 4-dimension tone framework (Funny-Serious, Formal-Casual, Respectful-Irreverent, Enthusiastic-Matter-of-fact). Personas define readability targets, sentence length distribution, vocabulary tier, contraction frequency, and summary box label. Used by blog-write and blog-rewrite to enforce consistent voice. Use when user says "persona", "voice", "tone", "writing style", "brand voice", "create persona", "use persona".

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Create and manage writing personas with NNGroup 4-dimension tone framework (Funny-Serious, Formal-Casual, Respectful-Irreverent, Enthusiastic-Matter-of-fact). Personas define readability targets, sentence length distribution, vocabulary tier, contraction frequency, and summary box label. Used by blog-write and blog-rewrite to enforce consistent voice. Use when the user says "create persona", "use persona", "list personas", or wants tone sliders and writing rules saved as structured JSON. Not for measuring style from existing posts (blog-style) or for audience, positioning, and taboo-phrase context files (blog-brand).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build a personal brand strategy for founders, executives, creators, and consultants. Use when the user says "personal brand", "personal branding", "build my brand", "founder brand", "executive brand", "thought leadership", "I want to be known for", "grow my personal brand", "LinkedIn presence", "creator brand", "consultant brand", "personal brand strategy", "position myself", "what should I be known for", or wants to establish credibility, grow an audience, or become a recognized voice in their industry.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create and manage writing personas with NNGroup 4-dimension tone framework (Funny-Serious, Formal-Casual, Respectful-Irreverent, Enthusiastic-Matter-of-fact). Personas define readability targets, sentence length distribution, vocabulary tier, contraction frequency, and summary box label. Used by blog-write and blog-rewrite to enforce consistent voice. Use when user says "persona", "voice", "tone", "writing style", "brand voice", "create persona", "use persona".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Build a detailed buyer persona or customer profile. Use when the user says "write a persona", "build a buyer persona", "customer persona for [product]", "who is our target customer", "ICP document", "ideal customer profile", "define our buyer", "who are we building this for", "customer profile", "audience profile", or wants to create a documented, research-backed profile of who buys the product and why. For sourcing the real research behind a persona, see customer-research. For segment and firmographic definition, see icp-research. For writing it into the knowledge base, see brand-context.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Turn raw customer material into evidence-backed personas and verbatim voice-of-customer language. Two modes - analyse sources the user already has (call transcripts, support tickets, survey responses, sales notes, reviews), or source new material from public places customers actually talk. Produces quoted pains, objections, and switch triggers that other skills consume, never invented ones. Use when the user says "customer research", "voice of customer", "what do our customers actually say", "we need real quotes", "analyse these call transcripts", "read our support tickets", "build a persona from data", "find what customers complain about", or when a persona is marked provisional. For structuring the finished persona into the knowledge base, see brand-context. For the JTBD persona template itself, see customer-persona.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Create and manage writing personas with NNGroup 4-dimension tone framework (Funny-Serious, Formal-Casual, Respectful-Irreverent, Enthusiastic-Matter-of-fact). Personas define readability targets, sentence length distribution, vocabulary tier, contraction frequency, and summary box label. Used by blog-write and blog-rewrite to enforce consistent voice. Use when the user says "create persona", "use persona", "list personas", or wants tone sliders and writing rules saved as structured JSON. Not for measuring style from existing posts (blog-style) or for audience, positioning, and taboo-phrase context files (blog-brand).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Design and create a simulation persona for testing an AI agent. Guides through use case selection, voice and language configuration, behavior prompt crafting, and interruption calibration. Use when user says "create a persona", "design a persona", "set up a test persona", "configure simulation persona", or "build a caller profile".

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Turn a song, podcast, or personal introduction into a Spotify-style now-playing card. Generate a single HTML file with CSS-drawn cover art, a progress bar, and playback-style icons for video overlays or personal homepages.

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• Adding a now-playing card to a video overlay
• Introducing a favorite song on a personal homepage
• Presenting a podcast title and creator

Create a Codex plugin scaffold with a valid manifest, optional folders for skills and supporting files, and personal marketplace entries. Also guides validation and the cache refresh and reinstall steps used during local plugin development.

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• Create the initial structure for a personal Codex plugin
• Add folders for skills, hooks, scripts, and assets
• Register and update a plugin in a personal marketplace

Turn past classrooms and chat history into a reusable personal skill for course creation. It examines varied examples, checks recurring patterns and exceptions, and asks for corrections before saving instructions that reflect the user's workflow and quality expectations.

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• Reviewing patterns across past course creation
• Turning preferred workflows into reusable instructions
• Checking inferred preferences against examples

Assess WPA/WPA2 Personal Wi-Fi password strength through authentication data capture, file conversion, and offline password testing. Covers dictionary searches, pattern-based guesses, vendor default passwords, and capture quality checks.

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• Assessing Wi-Fi password strength
• Checking captured authentication data
• Reviewing vendor default password patterns