Awesome-omni-skill parallel-task-format

Compact YAML format for defining parallel task specifications with scope, boundaries, and agent assignments. Use when creating task files for parallel development.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/parallel-task-format" ~/.claude/skills/diegosouzapw-awesome-omni-skill-parallel-task-format && rm -rf "$T"
manifest: skills/development/parallel-task-format/SKILL.md
source content

Task Specification Format

Compact YAML format for parallel task files in

parallel/TS-XXXX-slug/tasks/
.

Complete Task Example

---
id: task-001
component: users
wave: 1
deps: []
blocks: [task-004, task-005]
agent: python-experts:django-expert
skills: [python-experts:python-style, python-experts:django-dev, python-experts:django-api]
tech_spec: TS-0042
contracts: [contracts/types.py, contracts/api-schema.yaml]
---
# task-001: User Management

## Scope
CREATE: apps/users/{models,views,serializers,urls}.py, apps/users/tests/*.py
MODIFY: config/urls.py
BOUNDARY: apps/orders/*, apps/products/*, apps/*/migrations/*

## Requirements
- User model with email authentication
- UserSerializer with explicit fields
- UserViewSet (list, retrieve, create, update)
- Email uniqueness validation

## Checklist
- [ ] Model matches UserDTO in contracts/types.py
- [ ] API matches /api/users/* in contracts/api-schema.yaml
- [ ] pytest apps/users/ passes
- [ ] mypy apps/users/ passes
- [ ] ruff check apps/users/ passes
- [ ] No files modified outside scope

YAML Frontmatter Fields

FieldRequiredDescription
id
YesTask identifier (task-NNN or task-NNN-component)
component
YesSystem component name
wave
YesDependency wave number (1, 2, 3...)
deps
YesTask IDs this depends on (empty list
[]
if none)
blocks
NoTask IDs this blocks (optional)
agent
YesRecommended agent type
skills
YesSkills the agent should invoke (list from agent-skills-mapping.yaml)
tech_spec
NoTech Spec ID (if applicable)
contracts
YesContract files to reference (relative paths)

Note:

skills
are stored in task files so prompt generation can include them in
=== REQUIRED SKILLS ===
sections. They are NOT stored in manifest.json.

Scope Section Format

Use compact notation with three directives:

CREATE

Files to create (use glob patterns). A file can only be in CREATE for ONE task.

CREATE: apps/users/{models,views,serializers,urls}.py, apps/users/tests/*.py

MODIFY

Existing files to modify. Use scoped syntax for parallel modifications:

Unscoped (whole file - only ONE task per wave can use this):

MODIFY: config/urls.py, config/settings.py

Scoped (specific section - multiple tasks in same wave can modify different scopes):

MODIFY: apps/users/models.py::User.save          # Owns User.save method
MODIFY: apps/users/models.py::User.clean         # Different task owns User.clean
MODIFY: apps/users/views.py::UserViewSet         # Owns entire class
MODIFY: config/urls.py::urlpatterns              # Owns urlpatterns list

Scoped syntax rules:

  • file.py::ClassName
    - owns entire class
  • file.py::function_name
    - owns entire function
  • file.py::ClassName.method
    - owns specific method
  • Scopes must NOT overlap (no nesting like
    ::Class
    and
    ::Class.method
    in same wave)

BOUNDARY

Files NOT to touch (owned by other tasks):

BOUNDARY: apps/orders/*, apps/products/*, apps/*/migrations/*

Task Naming Convention

task-{number}-{component}.md

Examples:
- task-001-users.md
- task-002-products.md
- task-003-orders.md
- task-004-api.md
- task-005-integration.md

Agent Type Selection

Task FilesAgentDescription
apps/*/models.py
,
apps/*/views.py
python-experts:django-expert
Django models, views, serializers
api/*.py
,
routers/*.py
python-experts:fastapi-expert
FastAPI endpoints
src/components/*.tsx
frontend-experts:react-typescript-expert
React components
**/test_*.py
,
**/tests/*.py
python-experts:python-testing-expert
Python tests
*.spec.ts
,
*.test.tsx
frontend-experts:playwright-testing-expert
TypeScript/E2E tests
terraform/
,
docker-compose.yml
devops-data:devops-expert
Infrastructure
Integration, architecture
devops-data:cto-architect
Cross-cutting concerns

Contract References

Contracts are in the same parallel directory:

parallel/TS-0042-slug/
  contracts/
    types.py        # Reference as: contracts/types.py
    api-schema.yaml # Reference as: contracts/api-schema.yaml
  tasks/
    task-001-users.md

Wave Dependencies

Tasks in Wave N can only depend on tasks in Waves 1 to N-1:

Wave 1: task-001, task-002 (no dependencies, run in parallel)
Wave 2: task-003 (depends on task-001, task-002)
Wave 3: task-004 (depends on task-003)

deps vs blocks

  • deps
    : Tasks that MUST complete before this task starts
  • blocks
    : Tasks that CANNOT start until this task completes

Both express the same relationship from different perspectives:

# task-001
blocks: [task-003]

# task-003
deps: [task-001]

Requirements Section

Clear, actionable requirements:

## Requirements
- Implement `User` model with fields: `email`, `username`, `password`, `is_active`
- Create `UserSerializer` with all User fields (hide password)
- Implement `UserViewSet` with: list, retrieve, create, update
- Add email validation and uniqueness constraint
- Test coverage: minimum 85%

Checklist Section

Verification criteria:

## Checklist
- [ ] Model matches DTO in contracts/types.py
- [ ] API matches schema in contracts/api-schema.yaml
- [ ] pytest apps/users/ passes
- [ ] mypy apps/users/ --strict passes
- [ ] Coverage >= 85%
- [ ] No files modified outside scope

Why Compact Format?

  1. Token efficiency: Less tokens for agent context
  2. Faster parsing: YAML frontmatter is standard
  3. Clear boundaries: Scope section is scannable
  4. Actionable checklist: Verification is explicit

Validation Rules

Before using tasks:

  • Every task has unique
    id
  • Every task has
    agent
    assigned
  • Every task has
    skills
    list (from agent-skills-mapping.yaml)
  • Every task has
    contracts
    referenced
  • Every task has BOUNDARY section
  • No circular dependencies in
    deps
  • Wave numbers are sequential (1, 2, 3...)
  • Wave 1 tasks have
    deps: []

Output Format

The Output Format JSON block is not included in task files or generated prompts. It's managed via system prompt by the external execution tool (

cpo
orchestrator).

This ensures consistent JSON output format across all agents without duplicating the schema in every prompt.