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Audit score 70

fusion-issue-task-planning

equinor/fusion-skills

Plan and break down user-story issues into ordered, traceable task drafts with explicit publish gates.

What is fusion-issue-task-planning?

This skill decomposes GitHub user-story issues into ordered, independently verifiable task drafts with built-in safeguards against architectural ambiguity. Use it when you need an actionable task plan before implementation, with explicit confirmation gates before publishing any changes.

  • Extracts planning anchors (outcomes, constraints, verification points) from user-story issues
  • Builds dependency-ordered task lists with explicit scope boundaries and acceptance-criteria mapping
  • Runs devil's-advocate review to detect unresolved design decisions, API contracts, and ownership ambiguities before drafting
  • Generates task issue drafts in three modes: orchestrated (full workflow), direct-subordinate (draft-only with handoff), and inline (minimal structure)
  • Requires explicit same-turn confirmation before publishing any task issues to GitHub
  • Supports repair mode to fix missing issue type or parent linkage on already-created tasks

How to install fusion-issue-task-planning

npx skills add https://github.com/equinor/fusion-skills --skill fusion-issue-task-planning
Prerequisites
  • GitHub issue reference (owner/repo#number or URL)
  • Access to target repository via MCP GitHub server
  • Optionally: fusion-issue-authoring or fusion-issue-author-task skills for full publish workflow (draft-only mode works without them)
Claude Code
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How to use fusion-issue-task-planning

  1. 1.Provide the target user-story issue reference and desired planning depth (minimal, standard, or detailed)
  2. 2.Specify run mode: draft-only (default), draft+publish-ready, or publish-now
  3. 3.Review the generated plan preview (.tmp/USER-STORY-TASK-PLAN-*.md) and devil's-advocate findings
  4. 4.Resolve any flagged ambiguities or explicitly accept listed risks
  5. 5.Confirm publication in the same turn; the skill will delegate task creation to fusion-issue-authoring and verify linkage

Use cases

Good for
  • Break a large user story into 3–8 independently verifiable task issues before sprint planning
  • Detect architectural ambiguities (unresolved API contracts, unclear ownership) before task creation
  • Generate task drafts with full traceability to parent story and acceptance criteria, then publish after team review
  • Repair task issues that were created without proper type or parent linkage
  • Plan minimal, standard, or detailed task decompositions based on story complexity
Who it's for
  • Product managers and scrum masters planning sprints from user stories
  • Engineering leads reviewing task decomposition for architectural soundness
  • Development teams implementing stories that need clear task boundaries and dependencies
  • Agents orchestrating issue authoring workflows with explicit publish gates

fusion-issue-task-planning FAQ

What happens if I don't have fusion-issue-authoring or fusion-issue-author-task available?

The skill degrades gracefully to inline draft-only mode, generating task drafts with a minimal built-in structure (Title, Problem, Scope, Acceptance criteria mapping, Verification, Dependencies) and explicit handoff instructions for manual or orchestrated publication.

Can I publish tasks without resolving the devil's-advocate warnings?

No. In draft-only mode, ambiguities are listed in a warning block and publication remains blocked. In publish modes, you must either resolve each flagged risk or explicitly accept it before the skill will create issues.

What if tasks were already created but are missing Issue Type or parent linkage?

The skill has a repair mode that delegates to fusion-issue-authoring to fix missing metadata (set type=Task, add parent links) and verify results. Repair is idempotent and skips already-correct issues.

How many tasks can I plan and publish in one turn?

The skill supports any number, but warns if N > 5 due to rate-limit risk and offers to publish in batches. Each task costs ~1 issue-write mutation plus optional sub-issue link mutations.

What counts as an architectural ambiguity that blocks planning?

Unresolved design decisions, implicit API contracts between frontend/backend, unclear component ownership, vague dependency statements, or discovery tasks mixed with implementation tasks without explicit blocking relationships.

Full instructions (SKILL.md)

Source of truth, from equinor/fusion-skills.


name: fusion-issue-task-planning description: Plan and break down user-story issues into ordered, traceable task issue drafts with explicit publish gates. license: MIT metadata: version: "0.1.6" status: experimental owner: "@equinor/fusion-core"

skills: - fusion-issue-authoring - fusion-issue-author-task tags: - github - planning - user-story - task-planning mcp: required: - github suggested: - mcp_fusion

User Story Task Planning

Experimental caveat

This skill is experimental and not yet stable. Behavior, structure, and outputs may change between versions.

When to use

Use this skill when you need an actionable task plan for a User Story issue before implementation.

Typical triggers:

  • "plan tasks for #123"
  • "break this story into steps"
  • "create task issue drafts from this user story"

When not to use

Do not use this skill for direct code implementation, PR review, or GitHub mutations without explicit confirmation.

Required inputs

  • Target issue reference (owner/repo#number or URL)
  • Desired planning depth (minimal, standard, detailed)
  • Run mode (draft-only, draft+publish-ready, or publish-now)

If missing inputs block planning, ask up to 3 focused follow-up questions from assets/follow-up-questions.md.

Defaults

  • Planning depth: standard
  • Run mode: draft-only
  • Publish behavior: explicit same-turn confirmation required before any mutation

Tool format

  • Tool names follow <mcp_server>::<tool> (example: mcp_github::sub_issue_write).

Instructions

Execute in order and state assumptions explicitly.

  1. Probe preferred skills and classify drafting mode

    • orchestrated: both fusion-issue-authoring and fusion-issue-author-task available; full workflow with explicit publish gates handled by the orchestrator.
    • direct-subordinate: only fusion-issue-author-task available; operate in draft-only mode using its templates and safeguards, do not perform any GitHub mutations, and surface drafts plus clear instructions for how an orchestrator or user should publish them.
    • inline: neither available; stay in draft-only mode, generate task drafts with a minimal built-in structure (Title, Problem, Scope, Acceptance criteria mapping, Verification, Dependencies), and avoid direct references to another skill's assets/ files.
    • Prefer fusion-issue-author-task whenever it is available; do not bypass it with direct cross-skill file references.
    • Never stop due to missing preferred skills; degrade gracefully.
  2. Research the user story

    • Gather title, body, acceptance criteria, scenarios, ancestor chain, existing sub-issues, and related links.
    • If issue type is ambiguous, confirm whether to proceed as User Story.
  3. Clarify only when needed

    • Ask at most 3 questions per batch.
    • Continue with explicit assumptions when safe defaults exist.
  4. Extract planning anchors

    • Outcomes
    • Constraints and non-goals
    • Verification points
  5. Build dependency-ordered tasks

    • For each task include objective, scope boundary, deliverable, verification method, and mapped AC references.
    • Prefer independently verifiable slices.
  6. Run devil's-advocate review before drafting

    • Inspect the proposed task set for architecture-ambiguity signals:
      • Unresolved design or architecture decisions mentioned in the story, comments, or ancestor issues
      • Backend and frontend tasks that share an implicit API, data model, or ownership contract not yet agreed
      • A discovery, research, or alignment task alongside concrete implementation tasks with no explicit blocking relationship
      • Dependency statements that are vague or circular ("after backend is done", "when design is ready")
      • Component, API, or data-model ownership that is unclear or contested
    • If two or more signals are present:
      • orchestrated mode: route through fusion-issue-authoring → agents/devils-advocate.agent.md in interrogator mode automatically — no user trigger required.
      • direct-subordinate or inline mode: run an inline DA checklist using the same five signals above; surface findings as a structured ⚠ Ambiguity checklist and require the user to resolve or explicitly accept each before draft generation.
    • If zero or one signal is present, run in moderate mode: surface up to 3 concerns and continue after the user acknowledges.
    • Publish gate (all modes): do not publish tasks until either the devil's advocate confirms the split is sound or the user explicitly accepts the listed risks.
    • Draft-only exception: in draft-only mode, draft generation may proceed even with unresolved ambiguities, but emit an ⚠ Ambiguity warning block at the top of the plan preview listing each unresolved item. Publication remains blocked until risks are accepted.
  7. Generate task issue drafts

    • orchestrated: route through fusion-issue-authoring with issue type Task
    • direct-subordinate: invoke fusion-issue-author-task in draft-only mode and output explicit publish instructions that delegate final mutation to fusion-issue-authoring
    • inline: write .tmp/TASK-<nn>-<slug>.md drafts using the minimal built-in structure from step 1
    • Keep drafts local until explicit publish approval.
  8. Generate plan preview

    • Write .tmp/USER-STORY-TASK-PLAN-<context>.md from assets/task-plan-template.md.
    • Include summary, traceability, ordered tasks, draft paths, publish plan, assumptions, risks.
  9. Publish only after explicit confirmation

    • Require explicit confirmation in the same turn.
    • Stop if unresolved assumptions remain.
    • Delegate publish execution to fusion-issue-authoring and prefer sub-agent invocation for task issue creation/update/linking.
    • Pass required context to fusion-issue-authoring: owner, repo, parent story reference, ordered task drafts, labels/assignee intent, and dependency ordering.
    • Require fusion-issue-authoring to keep MCP-first behavior and apply GraphQL fallback only when MCP write coverage is unavailable.
    • The orchestrator's session-cache rules apply to all delegated calls: labels, assignee candidates, and issue types are fetched once per session and reused across all task issues in the batch.
    • Budget awareness: a task-planning publish of N tasks costs ~N issue-write mutations + optional sub-issue link mutations. If N > 5, warn the user about rate-limit risk and offer to publish in batches.
    • Do not call MCP write tools directly from this skill in publish mode.
    • Hard fail publish mode if delegated execution returns unresolved item-level failures.
  10. Repair mode for already-created tasks

  • If tasks were created but are missing Issue Type or parent linkage, delegate repair to fusion-issue-authoring and prefer sub-agent invocation.
  • Provide per-issue repair intent (set type=Task, add missing parent links, preserve order) and require verification results from the delegated run.
  • Repair mode must be idempotent: skip already-correct issues and fix only missing metadata.
  • Run post-flight verification after repairs and return actionable failures.

Common failures and resolution

  • fusion-issue-authoring is unavailable in the runtime
    • Stay in draft-only mode and return publish-ready artifacts plus explicit handoff instructions.
  • Delegated publish returns partial failures
    • Return per-issue failed status with exact reason and stop further mutations until user confirmation.
  • Task issues are created but not linked to the parent story
    • Trigger delegated repair through fusion-issue-authoring and require post-flight verification output.
  • Task exists but Issue Type is missing or incorrect
    • Trigger delegated repair through fusion-issue-authoring with type=Task intent and verify results.
  • Post-flight verification reports partial failures
    • Return per-issue failed status with exact reason, stop publish flow, and keep unresolved items for explicit user decision.

Expected output

Return in this heading order:

  1. Experimental caveat
  2. Story summary
  3. Acceptance-criteria traceability
  4. Ordered tasks
  5. Draft file paths
  6. Publish plan
  7. Assumptions, risks, and open questions

Always include: Status: Awaiting user approval until publish is confirmed and completed.

For publish-now or repair mode, include a per-issue post-flight report with:

  • issue exists
  • issue type equals requested type
  • parent equals expected story number
  • status (ok, fixed, or failed)

Assets

Safety & constraints

  • This skill is mutation-capable. Repository-local workflow instructions take precedence over inline guidance when they conflict.
  • Never mutate GitHub state without explicit confirmation.
  • Never infer acceptance criteria without flagging assumptions.
  • Always preserve AC traceability in the task plan.
  • Keep drafts in .tmp/ before any publish action.
  • In publish/repair mode, treat missing Issue Type or missing parent linkage as a failure until post-flight checks pass.
  • Delegate mutation/repair execution to fusion-issue-authoring (prefer sub-agent) and do not call MCP write tools directly from this skill.