lisa-task-decomposition

name	lisa-task-decomposition
description	Methodology for breaking work…

Task Decomposition

Break work into ordered, well-scoped tasks that can be independently implemented and verified.

Decomposition Process

1. Identify Units of Work

• Break the work into the smallest units that are independently valuable
• Each unit should produce a verifiable outcome (a passing test, a working endpoint, observable behavior)
• Avoid tasks that are too large to complete in a single session
• Avoid tasks that are too small to be meaningful (e.g., "add an import statement")

1.5. Preserve Cross-Repo Containers, Split Leaf Work by Repository

Start from the right shape:

• A source PRD may span multiple repositories.
• Coordination containers may also span multiple repositories.
• Buildable leaf work units must be implementable inside exactly one repository.

That last point is a hard invariant — downstream validators (jira-validate-ticket, github-validate-issue, linear-validate-issue) gate writes on it, so a cross-repo leaf will fail to be created.

Apply this rule by layer:

Layer	Repo scope
PRD / source initiative	MAY span repos — it describes the full initiative
Epic, Story, Spike	MAY span repos — these are coordination containers
Task, Bug, Sub-task, Improvement	MUST name exactly one repo — these are buildable leaf work units

If a candidate work unit naturally touches multiple repos (e.g., "add field to backend API and consume it in mobile app"), do not write it as one ticket. Instead:

1. Split it into one work unit per repo (e.g., [backend-api] Add field to /users endpoint, [mobile-app] Display new field on profile screen).
2. Group the per-repo units under a single parent Story (or Epic, if the parent Story already exists). The parent stays cross-repo; the children do not.
3. Encode the order via Dependencies in step 4 — typically the producing repo (backend) blocks the consuming repo (frontend/mobile).
4. Tag each work unit with [repo-name] as a summary prefix so the repo is visible in tracker lists at a glance.

Reject any work unit whose acceptance criteria reference behavior in a different repo from the one it's scoped to. If you find yourself writing "and the frontend should also...", that's a signal to split.

This is the decomposition-time strategy (greenfield — you are creating the tickets now, so a cross-repo PRD can stay whole, its Epic/Story/Spike containers can stay cross-repo, and a parent Story + per-repo children is the natural shape). It is distinct from the work-time strategy in the repo-scope-split rule, which applies when an agent picks up an already-existing leaf ticket to implement and discovers it spans repos: there it narrows the original in place and spins off sibling work units rather than introducing a new parent. Use the phase-appropriate one; do not mix them.

2. Define Acceptance Criteria

For each task, define what "done" looks like:

• Be specific and measurable -- avoid vague criteria like "works correctly"
• Include both positive cases (what should work) and negative cases (what should be rejected)
• Reference exact behavior: error messages, status codes, output format, performance thresholds
• If a task modifies existing behavior, state both the before and after

3. Assign Verification Type

Each task must have a verification method. Choose the most appropriate:

Verification Type	When to Use
Unit test	Pure logic, data transformations, utility functions
Integration test	Cross-module interactions, database operations, API contracts
E2E test	User-facing workflows, multi-service interactions
Manual verification	UI/UX behavior, visual correctness, one-time infrastructure changes
Build verification	Compilation, type checking, linting, bundle size
Deploy verification	Service health checks, smoke tests, monitoring dashboards

4. Map Dependencies

• Identify which tasks must complete before others can start
• Order tasks so that each builds on a stable foundation
• Prefer independent tasks that can run in parallel where possible
• Flag external dependencies (other teams, services, permissions, data) that may block progress

5. Determine Execution Order

• Place foundational tasks first (types, schemas, interfaces, shared utilities)
• Follow with implementation tasks (business logic, handlers, services)
• Then integration tasks (wiring, configuration, API routes)
• Finish with verification tasks (test suites, documentation, cleanup)

6. Assign Required Skills

Map each task to the skills needed to complete it. This enables delegation to specialized agents or helps identify what expertise is required.

Output Format

## Task Breakdown

### Task 1: [[repo-name] imperative description]
- **Repository:** [single repo name, or N/A for Epic/Story/Spike]
- **Acceptance criteria:**
  - [specific, measurable criterion]
  - [specific, measurable criterion]
- **Verification:** [type] -- [how to verify]
- **Dependencies:** [none | task IDs that must complete first]
- **Skills:** [list of skills needed]

### Task 2: [[repo-name] imperative description]
- **Repository:** [single repo name, or N/A for Epic/Story/Spike]
- **Acceptance criteria:**
  - [specific, measurable criterion]
- **Verification:** [type] -- [how to verify]
- **Dependencies:** [Task 1]
- **Skills:** [list of skills needed]

### Execution Order
1. [Task 1, Task 3] (parallel -- no dependencies)
2. [Task 2] (depends on Task 1)
3. [Task 4] (depends on Task 2, Task 3)

### External Dependencies
- [dependency] -- [who owns it] -- [current status]

Rules

• Every task must have at least one acceptance criterion that can be empirically verified
• Do not create tasks that cannot be verified -- if you cannot define how to prove it is done, the task is not well-scoped
• Every Task / Bug / Sub-task / Improvement is scoped to exactly one repo -- if the work spans repos, split into per-repo work units under a shared parent Story (see step 1.5)
• Keep tasks ordered so that no task references work that has not been completed by a prior task
• Flag any task that requires access, permissions, or external input not yet available
• Prefer more small tasks over fewer large tasks -- smaller tasks are easier to verify and less risky to fail
• Do not create placeholder or "TODO" tasks -- every task should describe concrete work