Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
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。
Разбивает Epic или крупное требование на независимые User Stories с acceptance criteria в формате Given-When-Then, проверкой по INVEST и оценкой Story Points (Fibonacci или T-shirt). На выходе — Story Map с предложением по Sprint-планированию. User-invoked only — do NOT auto-trigger. Triggers on /pm-user-stories, "разбей на user stories", "разбить эпик", "story map", "AC", "acceptance criteria", "break down into user stories", "split this epic", "write user stories".
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。
Part of the Personal Corp framework — running a one-person business through AI agents. Decompose a large requirement or Epic into independently-deliverable User Stories. Every Story is validated against INVEST. Output is ready to paste into Jira, Linear, or GitHub Issues.
| Field | Required | Notes |
|---|---|---|
| Requirement description | yes | An Epic or large requirement; can paste a PRD section |
| Granularity | no | Sprint-level (1-3 days/story) or iteration-level (1-2 weeks); default Sprint |
| Team composition | no | FE+BE split / full-stack / has mobile — affects per-tier splitting |
| Estimation system | no | Fibonacci (1/2/3/5/8/13) or T-shirt (S/M/L/XL); default Fibonacci |
Extract from the requirement:
Five patterns. Pick by requirement shape; combine for hybrids.
| Pattern | When to use | Example |
|---|---|---|
| By workflow step | Requirement is a complete process | Checkout → pick item / address / payment / confirm |
| By business-rule variant | Same feature with multiple rule sets | Discount → fixed-amount / coupon / points / combined |
| By CRUD operation | Requirement centers on one data object | Address book → create / edit / delete / set default |
| By role perspective | Multi-role feature | Order management → user view / merchant processing / ops dashboard |
| By complexity progression | Feature has simple and full versions | Search → keyword / filters / suggestions / history |
Selection principle: target ≤ 1 Sprint per Story. Hybrid requirements combine patterns.
Granularity calibration:
### US-{N}: {Story title — verb-led, e.g. "Choose payment method"}
**Role:** As a {role}
**Action:** I want to {specific action}
**Value:** so that {business value}
**Priority:** P0 (must) / P1 (important) / P2 (nice-to-have)
**Story Points:** {estimate}
**Acceptance Criteria:**
- [ ] Given {precondition}, When {action}, Then {expected result}
- [ ] Given {exception precondition}, When {action}, Then {error handling}
**Dependencies:** {other Story IDs, or "none"}
**Tech notes:** {dev callouts, optional}
Story Point reference (Fibonacci):
| Points | Complexity | Effort | Typical scope |
|---|---|---|---|
| 1 | Trivial | < 0.5 day | Copy change, config tweak, add an event |
| 2 | Simple | 0.5-1 day | One CRUD operation, form validation |
| 3 | Medium | 1-2 days | A complete feature point with business logic |
| 5 | Complex | 2-4 days | Multi-module interaction |
| 8 | Big | 4-7 days | New system / new flow core module |
| 13 | Re-split | > 1 week | Means the Story is too big — must split |
AC quality rules — every AC must satisfy:
Run each Story against the six checks:
| Principle | Check | If fails |
|---|---|---|
| Independent | Delete this Story — can the others still ship? | Cyclic deps → merge or re-split |
| Negotiable | Does it describe "what" or "how"? | Strip implementation detail, keep value |
| Valuable | Will the user perceive value when this ships? | Pure refactor → attach to a user-perceivable feature |
| Estimable | Can the team agree on points within 5 minutes? | Wide spread = unclear requirement; clarify first |
| Small | Fits in one Sprint? | Larger → split |
| Testable | Can QA write test cases directly from the AC? | Add concrete edge values and expected results |
Definition of Ready (must hold before entering development):
| Check | Standard | If unmet |
|---|---|---|
| AC complete | ≥ 1 happy + ≥ 1 exception | Fill ACs, then schedule |
| No blocking deps | All upstream Stories done or mockable | Tag "Blocked", push to a later Sprint |
| Designs ready | UI Stories have design specs | No designs → tag "Needs design" |
| Estimation consensus | Spread < 2× | Re-discuss scope until agreed |
| Business rules confirmed | All [TBD] resolved | Confirm with PM/business, then dev |
Dependency rules:
## Epic: {requirement name}
### Story Map (user journey → Story mapping)
| Journey stage | Stories | Priority | Points |
|---|---|---|---|
| {stage 1} | US-001, US-002 | P0 | 5 |
| {stage 2} | US-003, US-004 | P1 | 8 |
### Sprint planning
- **Sprint 1 (MVP):** {Story list}, total {X} points
- **Sprint 2:** {Story list}, total {X} points
### Dependencies
US-001 → US-003 → US-005 (must follow this order)
US-002, US-004 (parallel)
[business rule TBD] and propose plausible assumptions for confirmation/pm-prd — write a PRD first to lock scope, then break into Stories/pm-prioritize — when there are many Stories, RICE-rank for Sprint priority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
Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
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。
Audits the agent rules in the current folder (AGENTS.md, nested AGENTS.md files) and the skill descriptions the agent sees at start, then reports what to cut, move or rewrite and edits only after the user says yes. Use on «аудит правил», «проверь AGENTS.md», «почему агент не слушается правил», «проверь скиллы».
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。
Робот агента Personal Corp. Агент делает себе голову робота из набора деталей, хранит её в штабе в stack/avatars.json и кладёт в штаб страницу avatar/robot.html, где робот стоит за партой своего штаба и вокруг видны отделы, без сервера и интернета. На уроке по ссылке входа с экрана урока робот входит в живой класс и горит маячком, пока агент работает. Триггеры /avatar, /avatar <ссылка входа>, сделай себе аватар, покажи своего робота, приди на урок.
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。
Use when choosing between engines or models for an agent pipeline and the answer must come from measurement on your own data, not from marketing pages: speech recognition for meeting recordings, the model that turns a transcript into notes, the critic model that checks it. Runs every variant in an isolated container, measures time, cost per hour of input (USD and RUB, with price source and date) and quality (WER/CER and course terms for ASR; code checks plus a judge of a different model for LLM steps), writes results.json/csv and one static analytics page. Triggers on "бенчмарк", "сравни движки", "сколько стоит час записи", "какую модель взять для пайплайна", "benchmark the pipeline", "compare ASR engines".
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。
Use when user asks for Claude Code usage stats, weekly analytics, project activity summary, or wants to see what projects were worked on. Triggers on "аналитика", "статистика claude", "cc stats", "weekly report", "что делал"
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。
Use when needing strategic project analysis from multiple independent expert perspectives. Triggers on business decisions, growth strategy, product direction, competitive analysis, or any situation where diverse C-level opinions reduce blind spots
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。