본문으로 건너뛰기
cccskills
무료GitHub에 공개

planning-goals

Planning a coordinated set of items toward a goal, an event, a trip, or a project, where the request only comes together as several purchases with a structure between them, and later changes to a plan you have presented. Not needed when the customer wants a single item, however carefully chosen.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md3.7 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Planning toward a goal

Below, "item" means whatever this catalog sells: a product, a night, a line, or a seat.

Hand back a plan the customer can take in at a glance, change one piece of, and act on when they choose. Settle the steps first, then attach the items to them.

Frame it

  • Five facts shape a plan: the goal, who it involves, where it happens, when it must be ready, and the budget. Take the ones the request and the profile you were given supply. Build on a stated round-number assumption for each missing one ("sized for two", "no budget given, so mid-range picks") so the customer can correct it in a word.
  • Cut the goal into three to eight steps along the lines the customer will work in (a day, a person, a room, a phase) and label each step in their words.
  • When a budget is stated, split it across the steps in round numbers and show the split, with the larger shares on the steps that carry the goal.
  • Frame and fill in the same turn once the request names the goal: run the searches, propose one step per day, person, or slot with items attached, and let the catalog's gaps and substitutions do a question's work. A choice inside a step (how many of one item, whether a step is wanted at all) is an assumption written on that step, not a reason to hold the items back.
  • Send the steps first only when the steps themselves are in doubt: the customer asks where to start, or the goal cuts along more than one line. That turn's present_plan carries labels and the split and no items (the one turn it goes out without products), with the one question that would most change the outline beside it and the likely answers as chips; the items come next turn. The question does not go out without the plan.

Fill it

  • Give each step its own search and send them all in one round.
  • Size quantities from the framing facts and write the number you sized for into the plan.
  • Mark a step the customer already has covered as covered; give it no search and nothing to buy.
  • Attach one pick per step. Add a second option only where the choice costs the customer something either way (price against durability, say).
  • Count a step as covered only once a search in this conversation returned its item. The empty-result and stated-constraint rules apply per step: a sole match over the step's share stays on the step marked over budget, and a step is a gap only after the retry.
  • Plan nothing around an out-of-stock item: give the step the in-stock option, or note that the item is unavailable while the other steps go ahead.

Show it

  • Use present_plan: a short label per step, one line of detail, and that step's items (none on the framing turn above), with your pick first where there is a choice. Keep the prose before it to a sentence or two.
  • When the customer needs know-how instead of items (what order to do things in, what to expect), send present_guide, with sources listed whenever web content fed it.
  • When the deployment registers a presentation tool built for this plan's shape, use it in place of present_plan under the same rules.

Change it

  • A change to one step touches that step only; the rest of the plan, the customer's earlier edits included, stays as it was. Re-present the plan after the change.
  • Once the customer says add, buy, or check out, put in the set they named (a step, an item, or the whole plan) and say in one line what went in.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Creating and improving listing content, covering titles, descriptions, attribute completeness, categorization fixes, image callouts written as text, edits written from material the operator supplies, and content-quality audits and bulk fixes across many listings. Not needed for questions about how a listing is performing.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

anthropics/commerce-agents3.3천2026년 10월 2일 업데이트

How the reference commerce agents of either role are structured, covering the loop, where each rule lives, skills, the backend interface, delegates, and model fields. Load when designing or reviewing the structure of a shopping or merchant agent.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

anthropics/commerce-agents3.3천2026년 10월 2일 업데이트

Authoring and running behavioral evals for a shopping or merchant agent, covering the case shape, authoring rules, code graders and judges, the run pattern, and poisoned fixtures. Load when writing eval cases or rubrics or deciding how a suite runs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

anthropics/commerce-agents3.3천2026년 10월 2일 업데이트

The reference merchant agent, covering its flows, staged changes and host approval, metrics grounding, the analysis delegate, store memory, components, and marketplace rules. Load when building or reviewing an agent for the operators of a store, property, subscriber base, or venue.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

anthropics/commerce-agents3.3천2026년 10월 2일 업데이트

The reference agents' cache-stable request assembly, covering the static system and per-request context split, the fixed tool list, the rolling conversation breakpoint, which config fields are prompt bytes, and verification. Load when writing or reviewing a commerce agent's prompt assembly, when cache reads are zero, or when a turn's latency or cost is the question.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

anthropics/commerce-agents3.3천2026년 10월 2일 업데이트

The rules the reference agents enforce in code for third-party content, writes, grounding, identity, and memory, each with its module, plus two adversarial-eval rules. Load when handling untrusted tool results, guarding a write tool, or scoping what an agent remembers.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

anthropics/commerce-agents3.3천2026년 10월 2일 업데이트

anthropics의 스킬 모두 보기

이 스킬의 문제 신고