task-planning — Claude Code skill: what it does, how to install
Converts messy specs, bug clusters, and roadmaps into structured execution packets. It isolates discovery from delivery to clarify blockers before sprints.
npx skills add akillness/jeo-skills --skill task-planning -a claude-codeWhat task-planning does
The skill transforms vague ideas, raw specs, playtest feedback, or issue backlogs into structured planning units. It divides work across five phases: discovery, foundation, core delivery, verification, and follow-through. Unresolved research items stay separated from active build tasks.
During intake, the agent selects a target packet type such as a sprint candidate, feature slice, or milestone packet. Each slice receives a clear outcome, assigned role, required inputs, testable acceptance criteria, and blocker status. The workflow relies on file and shell operations via Bash, Read, Write, Edit, Glob, and Grep.
Story pointing and sizing do not belong here. The skill passes estimation tasks directly to task-estimation and board state transitions to triage.
What it helps with
- slice large product features into actionable work units
- separate backlog items into ready and unready tickets
- map technical dependencies and blockers prior to launch
- structure sprint candidates using team velocity and availability
Example prompts for the agent
- Turn the notes from our latest playtest into a sprint-ready task list.
- Break down this feature specification into execution slices with acceptance criteria.
- Review the repository backlog and isolate items that still need discovery work.
How to install task-planning
1Skills CLI (Vercel)
npx skills add akillness/jeo-skills --skill task-planning -a claude-code2Manually: put the files in place
~/.claude/skills/task-planning/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/task-planning/
1Skills CLI (Vercel)
npx skills add akillness/jeo-skills --skill task-planning -a codex2Manually: put the files in place
.agents/skills/task-planning/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add akillness/jeo-skills --skill task-planning -a cursor2Manually: put the files in place
.cursor/skills/task-planning/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install akillness/jeo-skills task-planning2Manually: put the files in place
.github/skills/task-planning/SKILL.md1Skills CLI (Vercel)
npx skills add akillness/jeo-skills --skill task-planning -a gemini-cli2Platform CLI
gemini skills install https://github.com/akillness/jeo-skills --path .agent-skills/task-planningManually: put the files in place
.devin/skills/task-planning/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add akillness/jeo-skills --skill task-planning -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about task-planning
How to install task-planning in Claude Code?
Run npx skills add akillness/jeo-skills --skill task-planning -a claude-code in your terminal to install the skill.
What does the task-planning skill do?
It decomposes vague specs, bug clusters, and milestone goals into structured packets with clear dependencies and testable acceptance criteria.
How does it handle task sizing and estimation?
It avoids story points and velocity forecasts directly. It structures the scope and forwards estimation requests to task-estimation.
Source text
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