Captures how a person or brand actually writes and turns it into reusable voice instructions every other content skill draws from. Use this before drafting any content for a new brand or client, when output keeps coming back sounding generic, when several writers need to sound like one, or when a voice needs defining without existing samples to learn from.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
The upstream dependency for every writing skill. Draft before this exists and it comes back sounding like everyone else.
Collect ten to twenty real pieces the person considers representative — their best, not their most recent. Then extract, with evidence:
Quote a real example for each. A voice guide with adjectives and no samples is unusable.
Build from a choice rather than a blank page. Offer archetypes — the practitioner showing their work, the analyst, the contrarian, the teacher, the insider, the enthusiast — with a written paragraph in each. Let them react. People cannot describe their voice but recognize it instantly.
Then interview around the choice: who are you writing for, what do you want them to feel, what would you never say.
Produce two artifacts other skills read:
voice.md — the rules, each with a real example and a counter-example.about-me.md — background, expertise, recurring themes, and the stories available to draw on.Include a do-not list. Voice guides fail on what they permit, not what they prescribe.
Draft two paragraphs and read them to the person cold. If they say "close, but I wouldn't say it that way," ask exactly what they would say — that correction is the most valuable data in the process.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Designs and audits who can reach what — authentication, authorization models, privileged access, service credentials, and joiner-mover-leaver process. Use this to design a permissions model, run an access review, reduce standing privilege, handle offboarding, set up SSO or MFA, manage service and machine credentials, or diagnose why permissions have sprawled.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Concentrates marketing and sales effort on a named set of accounts rather than on volume — qualifying whether the model fits your economics at all, building the account list and the buying group inside each, tiering effort against account value, coordinating so the account experiences one campaign rather than several, and measuring account progression instead of leads. Use this to decide whether to run an account-based program, build one, or work out why an existing one produces activity and no pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Gets new users from signup to first real value — signup flow, onboarding, time-to-value, and the early experience that determines whether someone becomes a user or a lapsed account. Use this to design or fix signup and onboarding, diagnose why signups do not convert to active use, reduce time-to-value, or decide what a new user must accomplish first.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Designs orchestrator-and-subagent hierarchies for a repository — splitting agents by exclusive write surface, pairing every producer with an independent auditor, and enforcing the split with a script that runs in CI. Use this whenever the user wants to set up, expand, audit, or fix a multi-agent or subagent structure for a codebase; asks how to divide work between agents; wants agent charters, roles, or a surface map written; or is hitting agents that collide on the same files, review their own work, or drift from their remit. Also use when sizing a roster or deciding whether a new agent is justified.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Governs models and AI systems in production — intended use, evaluation, monitoring, human oversight, documentation, and the decision to deploy or retire. Use this before deploying a model or AI feature, when defining evaluation criteria, when a model's behavior has drifted, when assessing AI risk or regulatory exposure, or when deciding whether an AI system is fit for a consequential decision.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a research brief, or assemble evidence for a decision. Also use when comparing options that need a structured, evidence-based verdict rather than an opinion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.