Finds, qualifies, and reaches prospects through cold outreach — list building, qualification criteria, cold email and multi-channel sequences, and the follow-up that actually gets replies. Use this to build a prospect list, write cold outreach, fix a sequence that is not getting responses, define qualification criteria, or decide whether a segment is worth pursuing.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Reply rates are set by list quality far more than by copy. Most outbound problems are targeting problems being solved as writing problems.
Define the qualifying signal — the observable fact that means this account probably has the problem you solve, right now. Hiring for a role, using a specific tool, a recent funding or expansion announcement, a public complaint about the thing you fix.
Without a signal you are sending to a demographic, and a demographic has no reason to reply.
Then qualify each account against: do they have the problem, can they afford it, can this person act, and is there a reason for now. Missing the last one is why good-fit prospects go quiet.
Three to five touches over two to three weeks. Each one adds something new — a different angle, a relevant case, a useful resource. Never "just bumping this to the top of your inbox," which communicates that the first message was not worth reading either.
Multi-channel works when the channels are coordinated and the sender is a person. It reads as harassment when the same message arrives everywhere at once.
Stop after the sequence ends. Persistence past that converts nothing and costs reputation.
Domain warmed, authentication configured, volume per mailbox kept low, list validated. A technically broken send makes perfect copy irrelevant, and the damage to a sending domain takes months to repair.
Use a subdomain for outbound so a reputation problem cannot take down your transactional mail.
references/sources.md in this skill lists the outside authorities that settle the questions
here — what each one is authoritative for, and what you may do with it. Check them before
answering on anything they cover, and cite what you used. Most are free to read and not free
to reproduce; the use note on each is binding.
Sequencing: Outreach, Salesloft, Apollo, Lemlist, Instantly, and similar.
Contact data: ZoomInfo, Apollo, Clay, LinkedIn Sales Navigator, and similar. Every provider's data decays; verify before you send, whichever you buy.
Deliverability: a separate sending domain, plus warmup and monitoring — Instantly, Smartlead, Google Postmaster Tools, and similar.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
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。
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.
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。
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.
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。
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.
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。
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.
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。
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.
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。