task-planning — скилл для Claude Code: что делает и как установить
Разбирает сырые требования, тикеты и результаты плейтестов в готовый план задач с явными блокерами. Отделяет исследование от разработки до начала спринта или релиза.
npx skills add akillness/jeo-skills --skill task-planning -a claude-codeЧто делает task-planning
Скилл принимает сырые фичи, списки багов, спецификации или заметки к релизу и преобразует их в рабочий пакет задач. Он разделяет работу на пять этапов: исследование (discovery), фундамент, саму разработку, проверку и сопровождение. Вопросы без ответов остаются отдельным блоком и не попадают в задачи на кодинг.
На этапе разбора агент подбирает тип пакета — от чистки бэклога до подготовки спринта или майлстоуна. Каждая задача получает владельца, зависимости, риски и проверяемые критерии приёмки. Скилл работает через системные инструменты Bash, Read, Write, Edit, Glob и Grep.
Для оценки трудоёмкости в сторипоинтах скилл не предназначен: эту часть он перенаправляет в task-estimation, а управление статусами задач оставляет инструменту triage.
Какие задачи решает
- разбить крупную фичу на независимые задачи с критериями приёмки
- разобрать бэклог и отделить готовые к разработке тикеты от неясных
- спланировать задачи спринта на основе доступности команды
- выделить технические блокеры и риски до старта релиза
Примеры запросов агенту
- Разбери баги из последнего плейтеста и составь план задач на следующий спринт.
- Сформируй пакет релиза для новой функциональности авторизации на основе спецификации.
- Проанализируй бэклог в репозитории и отдели готовые задачи от тех, где требуется исследование.
Как установить task-planning
1Через Skills CLI (Vercel)
npx skills add akillness/jeo-skills --skill task-planning -a claude-code2Вручную: положить файлы
~/.claude/skills/task-planning/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/task-planning/
1Через Skills CLI (Vercel)
npx skills add akillness/jeo-skills --skill task-planning -a codex2Вручную: положить файлы
.agents/skills/task-planning/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add akillness/jeo-skills --skill task-planning -a cursor2Вручную: положить файлы
.cursor/skills/task-planning/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install akillness/jeo-skills task-planning2Вручную: положить файлы
.github/skills/task-planning/SKILL.md1Через Skills CLI (Vercel)
npx skills add akillness/jeo-skills --skill task-planning -a gemini-cli2Командой платформы
gemini skills install https://github.com/akillness/jeo-skills --path .agent-skills/task-planningВручную: положить файлы
.devin/skills/task-planning/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add akillness/jeo-skills --skill task-planning -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Вопросы о task-planning
Как установить task-planning в Claude Code?
Выполните команду npx skills add akillness/jeo-skills --skill task-planning -a claude-code в терминале.
Чем task-planning отличается от task-estimation?
Скилл декомпозирует задачи, находит зависимости и формулирует критерии приёмки. Оценку трудоёмкости, сторипоинты и прогнозы он передаёт скиллу task-estimation.
Какие инструменты использует скилл в процессе работы?
Для изучения контекста и записи сформированных планов используются встроенные команды Bash, Read, Write, Edit, Glob и Grep.
Исходный текст
SKILL.md · MIT
--- name: task-planning description: > Turn vague features, bug clusters, roadmap items, launch work, or playtest findings into one execution-ready planning packet by choosing the right packet type, separating discovery from delivery, and making blockers, dependencies, and the next move explicit. Use when the user needs backlog cleanup, feature slicing, sprint or milestone prep, release planning, or roadmap-to-delivery translation across developer workflow, web/fullstack, product/ops, marketing/GTM, or game work. Also owns the retired `sprint-plan` name: sprint capacity from velocity and availability, Definition-of-Ready story selection, dependency and critical-path mapping, sprint goal, sprint plan summary. Route sizing to `task-estimation`, issue-state governance to `triage`, plan review to `plannotator`, daily syncs to `standup-meeting`, retros to `sprint-retrospective`, and pre-planning concept framing to `bmad`, `bmad-idea`, or `bmad-gds`. allowed-tools: Bash Read Write Edit Glob Grep compatibility: > Best for repositories, issue lists, specs, PRDs, GDDs, launch notes, playtest feedback, or chat context that must become a compact execution packet. This is a planning and decomposition workflow, not the long-term system of record. license: MIT metadata: tags: task-planning, backlog-grooming, sprint-planning, milestone-planning, roadmap-slicing, feature-breakdown, launch-planning, game-development platforms: Claude, ChatGPT, Gemini, Codex version: "2.1.0" source: akillness/jeo-skills modernization: 2026-04-12 hardening: 2026-04-18 ratchet: 2026-04-20 --- # Task Planning Use this skill when the job is **turning messy context into one small planning packet that a team can actually act on**. `task-planning` is the PM front door for backlog cleanup, feature decomposition, sprint-candidate prep, release slicing, milestone packets, and roadmap-to-delivery translation before estimation, boards, review, or execution. Core references: - [references/intake-packets-and-route-outs.md](references/intake-packets-and-route-outs.md) - [references/packet-shapes.md](references/packet-shapes.md) - [references/readiness-checklist.md](references/readiness-checklist.md) - [references/planning-patterns.md](references/planning-patterns.md) - [references/sprint-planning-recipe.md](references/sprint-planning-recipe.md) — when the packet is a sprint candidate and the team has velocity history ## When to use this skill - The request is too vague, too large, or too mixed to hand straight to implementation. - A backlog needs to be cleaned into ready vs not-ready work. - A roadmap item, feature, bug cluster, launch beat, or playtest finding needs execution slices. - A team needs one compact packet that names dependencies, blockers, and acceptance criteria. - The packet spans multiple disciplines: frontend/backend, PM/ops, GTM/content, or code/content/build/playtest work. - The key question is "what should we actually do next?" rather than "how big is it?" or "what board should we use?" ## When not to use this skill - **The main job is sizing, forecasting, or story-point language** → `task-estimation`. - **The work already exists and the real job is issue state transitions** → `triage`. - **The plan already exists and the real job is review/approval or diff markup** → `plannotator`. - **The main job is daily status coordination** → `standup-meeting`. - **The main job is reflection on completed work** → `sprint-retrospective`. - **The work is still concept framing, scope shaping, or game-production orchestration before decomposition** → `bmad`, `bmad-idea`, or `bmad-gds` first. ## Instructions ### Step 1: Choose one intake packet Use [references/intake-packets-and-route-outs.md](references/intake-packets-and-route-outs.md) and pick exactly one primary packet: ```yaml task_planning_packet: packet: backlog-cleanup | feature-slice | sprint-candidate | release-packet | milestone-packet | discovery-first domain: developer-workflow | web-fullstack | product-ops | marketing-gtm | game-development | mixed source_material: repo/issues | prd/spec | gdd/playtest | launch-notes | chat-context | mixed | unknown readiness_state: mostly-ready | mixed | mostly-fuzzy output_shape: single-packet | slice-table-plus-not-ready | release-packet | milestone-packet | discovery-packet ``` Packet meanings: - `backlog-cleanup` — clarify, dedupe, and separate ready from not-ready work. - `feature-slice` — turn one feature or bug cluster into assignable slices. - `sprint-candidate` — prepare the next iteration's ready work. - `release-packet` — shape launch, rollout, campaign, or go-live work. - `milestone-packet` — coordinate cross-discipline milestone or demo work, especially for games. - `discovery-first` — expose unknowns before pretending implementation is ready. ### Step 2: Gather the minimum credible evidence Do not plan from vibes alone. Pull the smallest packet that supports decomposition: - goal or problem statement - user, business, team, or player outcome - current artifacts: issues, spec/PRD, GDD, launch notes, playtest notes, bug list, or chat context - timeline or trigger: sprint, release, milestone, event, or dependency window - obvious constraints: owner, platform, environment, approvals, external dependencies - missing details that could make the packet fake-ready If evidence is thin, say so and choose `discovery-first` instead of inventing certainty. ### Step 3: Split discovery from delivery early Before you write slices, separate: 1. **Discovery** — unanswered questions, validation, missing decisions 2. **Foundation** — setup, architecture, shared assets, tooling, environments 3. **Delivery** — user-facing or system-facing implementation slices 4. **Verification** — QA, analytics, review, smoke tests, playtests, launch checks 5. **Follow-through** — docs, enablement, rollout, reporting, monitoring, distribution Do not bury research or unresolved decisions inside build tickets. ### Step 4: Choose the smallest packet shape Use [references/packet-shapes.md](references/packet-shapes.md). Rules: - If the user needs one next-action set, prefer a **single packet**. - If the main need is ready vs not-ready triage, use **slice table plus not-ready list**. - If the work is tied to a launch window, use a **release packet**. - If the work is milestone-heavy and cross-discipline, use a **milestone packet**. - If the packet starts doing decomposition, estimation, board control, review, and ceremony work at once, split responsibilities and route outward. ### Step 5: Build slices with readiness fields Every slice should have: - title - outcome - owner role - dependencies - inputs required - acceptance criteria - risk / uncertainty - ready? yes / no - if not ready, what is missing? Use short, testable acceptance criteria. Avoid vague statements like "works better" or "launch ready". ### Step 6: Surface sequence and blockers Explicitly name: - what can run in parallel - what must happen in order - what is blocked - what should be deferred Use blocker buckets from [references/readiness-checklist.md](references/readiness-checklist.md): - `missing-scope` - `missing-design` - `missing-data` - `external-dependency` - `environment-access` - `approval-needed` - `cross-team-handoff` ### Step 7: Run the route-out check Verify all of these: 1. The chosen packet matches the real planning job. 2. Discovery is separated from implementation when confidence is low. 3. The packet does not silently absorb sizing, board control, plan review, standups, or retros. 4. Cross-domain nuance survives without turning the output into a tutorial. 5. The packet ends with one clear next move. Route-outs to keep explicit: - sizing → `task-estimation` - issue state transitions → `triage` - plan review / approval → `plannotator` - daily coordination → `standup-meeting` - completed-work reflection → `sprint-retrospective` - concept framing / strategy shaping → `bmad`, `bmad-idea`, `bmad-gds` ### Step 8: Return the brief or the final packet Preferred brief shape before full drafting: ```markdown # Task Planning Brief ## Packet choice - Packet: - Domain: - Why it fits: - Output shape: ## Source material used - Main evidence: - Constraints / dependencies: - Assumptions / gaps: ## Planned slices 1. slice 2. slice 3. slice ## Route-out notes - Out of scope: - Not-ready work kept separate: - Recommended next move: ``` If the user already asked for the final artifact, return a compact planning packet directly. ## Output format Default packet shape: ```markdown # Planning Packet ## Planning horizon - Packet: - Domain: - Confidence: high | medium | low ## Goal - ... ## Assumptions - ... ## Work slices | Slice | Outcome | Owner role | Dependencies | Ready? | |------|---------|------------|--------------|--------| | ... | ... | ... | ... | yes/no | ## Slice details ### 1. [Slice name] - Inputs required: - Acceptance criteria: - [ ] ... - Risks / uncertainty: - Notes: ## Sequencing 1. ... 2. ... ## Blockers / not-ready items - Bucket: - Missing: - Next action: ## Recommended next move - start implementation | run discovery first | groom with owners | estimate now | defer until dependency clears ``` ## Examples ### Example 1: Fullstack feature slicing **Input** > Break down a new team-invite flow for our SaaS app. We need email invites, acceptance, and admin visibility before sprint planning. **Good output direction** - packet: `sprint-candidate` - domain: `web-fullstack` - split backend/data, invite acceptance flow, admin visibility, verification, and follow-through - keep story points out of scope ### Example 2: Backlog cleanup **Input** > We have a pile of vague onboarding backlog items. Clean them up so we can see what is actually ready next week. **Good output direction** - packet: `backlog-cleanup` - output shape: `slice-table-plus-not-ready` - mark missing scope, ownership, or approvals explicitly - separate discovery tickets from implementation tickets ### Example 3: Marketing / launch packet **Input** > Plan the next release push for our B2B launch: landing-page updates, email sequence, attribution checks, and launch-day reporting. **Good output direction** - packet: `release-packet` - domain: `marketing-gtm` - separate asset creation, review/approval, distribution, measurement, and reporting - route deep copywriting/campaign execution to `marketing-automation` ### Example 4: Game milestone packet **Input** > Plan the next milestone for our roguelike demo: tutorial polish, controller support, and a streamer-ready build. **Good output direction** - packet: `milestone-packet` - domain: `game-development` - separate code/system work, content/polish, build/QA, and playtest/distribution concerns - keep broader game-production orchestration routed to `bmad-gds` when needed ## Best practices 1. Choose one primary packet before decomposing the work. 2. Keep discovery separate from delivery whenever requirements are unstable. 3. Prefer small, reviewable slices over broad work categories. 4. Surface blockers and missing inputs explicitly instead of burying them in notes. 5. Preserve domain nuance for developer workflow, web/fullstack, product/ops, marketing/GTM, and game work without bloating the front door. 6. Route sizing, board control, review, daily cadence, and retrospectives out instead of stretching the skill boundary. 7. Keep the packet compact enough that a team can act on it immediately. 8. Update compact and manifest discovery surfaces when the role wording changes materially. ## References - [Atlassian — Backlog refinement](https://www.atlassian.com/agile/scrum/backlog-refinement) - [Atlassian — Sprint planning](https://www.atlassian.com/agile/scrum/sprint-planning) - [GitHub Docs — About Projects](https://docs.github.com/en/issues/planning-and-tracking-with-projects/learning-about-projects/about-projects) - [GitHub Docs — About milestones](https://docs.github.com/en/issues/using-labels-and-milestones-to-track-work/about-milestones) - [HacknPlan Docs](https://hacknplan.com/docs/milestones-and-deadlines/)
© akillness · MIT · akillness/jeo-skills