
Parallel Task
- 4 installs
- 224 repo stars
- Updated April 18, 2026
- am-will/swarms
This is a copy of parallel-task by am-will - installs and ranking accrue to the original listing.
Parallel Task is a Claude Code skill that parses a markdown plan and launches subagents in dependency-ordered waves to implement all tasks in parallel.
About
Parallel Task is a Claude Code skill that reads a markdown plan file, extracts each task's depends_on list, and launches subagents in waves so unblocked tasks run in parallel. A developer invokes it with /parallel-task to implement a whole plan or a subset of task IDs. Each subagent must produce RED to GREEN test evidence or a documented non-testable verification, commit its own files, and update the plan log before the orchestrator advances to the next wave.
- Orchestrates parallel subagents in dependency-ordered waves from a markdown plan
- Enforces TDD RED->GREEN evidence or a documented non-testable verification per task
- Commits each task and updates the plan log; agents never push
Parallel Task by the numbers
- 4 all-time installs (skills.sh)
- Data as of Aug 2, 2026 (Skillselion catalog sync)
parallel-task capabilities & compatibility
- Capabilities
- swarm planner · super swarm · parallel task tmux
- Use cases
- orchestration · planning · testing
What parallel-task says it does
You are an Orchestrator for subagents.
Launch all unblocked tasks in parallel. A task is unblocked if all IDs in its depends_on list are complete.
NEVER PUSH. ONLY COMMIT.
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| Installs | 4 |
|---|---|
| repo stars | ★ 224 |
| Last updated | April 18, 2026 |
| Repository | am-will/swarms ↗ |
What it does
Execute a dependency-aware development plan by delegating unblocked tasks to parallel Claude Code subagents in waves.
Who is it for?
Developers who have a dependency-annotated plan file and want tasks executed concurrently by subagents.
Skip if: Ad-hoc single-file edits or plans without depends_on metadata.
When should I use this skill?
You run /parallel-task with a plan.md and want unblocked tasks implemented in parallel.
What you get
All plan tasks are implemented in dependency waves, each verified, committed, and logged.
By the numbers
- 5-step process (Parse, Read/Parse Plan, Launch, Check/Validate, Repeat)
Files
Parallel Task Executor
You are an Orchestrator for subagents. Use orchestration mode to parse plan files and delegate tasks to parallel subagents using task dependencies, in a loop, until all tasks are completed. Your role is to ensure that subagents are launched in the correct order (in waves), and that they complete their tasks correctly, as well as ensure the plan docs are updated with logs after each task is completed.
Process
Step 1: Parse Request
Extract from user request: 1. Plan file: The markdown plan to read 2. Task subset (optional): Specific task IDs to run
If no subset provided, run the full plan.
Step 2: Read & Parse Plan
1. Find task subsections (e.g., ### T1: or ### Task 1.1:) 2. For each task, extract:
- Task ID and name
- depends_on list (from
- **depends_on**: [...]) - Full content (description, location, acceptance criteria, validation)
3. Build task list 4. If a task subset was requested, filter the task list to only those IDs and their required dependencies.
Step 3: Launch Subagents
For each unblocked task, launch subagent with:
- description: "Implement task [ID]: [name]"
- prompt: Use template below
Launch all unblocked tasks in parallel. A task is unblocked if all IDs in its depends_on list are complete.
Task Prompt Template
You are implementing a specific task from a development plan.
## Context
- Plan: [filename]
- Goals: [relevant overview from plan]
- Dependencies: [prerequisites for this task]
- Related tasks: [tasks that depend on or are depended on by this task]
- Constraints: [risks from plan]
## Your Task
**Task [ID]: [Name]**
Location: [File paths]
Description: [Full description]
Acceptance Criteria:
[List from plan]
Validation:
[Tests or verification from plan]
## Instructions
1. Read the working plan and fully understand this task before coding.
2. Read all relevant files first, then do targeted codebase research (related modules, tests, call sites, and dependencies) to confirm the approach.
3. Default to TDD RED phase first using a `tdd_test_writer` subagent:
- Pass task context and acceptance criteria.
- Require tests-only edits.
- Require command output proving the new/updated tests fail for the expected behavior gap.
- If the task is not a good TDD candidate, explicitly record `reason_not_testable` and define alternative verification evidence (for example `manual_check`, `static_check`, or `runtime_check`) with an exact command or concrete validation steps.
4. Review RED-phase tests (or approved non-testable verification plan) as the implementation contract. Do not weaken or remove tests unless requirements changed.
5. Implement production changes for all acceptance criteria.
6. Run validation:
- For testable tasks, run the exact new/updated test command(s) until GREEN (passing).
- For non-testable tasks, run the agreed alternative verification and capture evidence.
- Run any additional validation steps from the plan if feasible.
7. Commit your work.
- Stage only files for this task because other agents are working in parallel.
- NEVER PUSH. ONLY COMMIT.
8. After the commit, update the `*-plan.md` task entry with:
- Completion status
- Concise work log
- Files modified/created
- Errors or gotchas encountered
9. Return summary of:
- Files modified/created
- Changes made
- How criteria are satisfied
- Verification evidence: RED -> GREEN or documented non-testable alternative
- Validation performed or deferred
## Important
- Be careful with paths
- Stop and describe blockers if encountered
- Focus on this specific taskEnsure that each task is only considered complete after either RED -> GREEN test evidence or explicit non-testable verification evidence is provided, then the task is committed and the plan is updated.
Step 4: Check and Validate.
After subagents complete their work: 1. Inspect their outputs for correctness and completeness. 2. Validate the results against the expected outcomes. 3. If the task is truly completed correctly, ensure the task commit exists and then ensure the task is marked complete with logs. 4. If a task was not successful, have the agent retry or escalate the issue. 5. Ensure that wave of work is committed locally before moving on to the next wave of tasks.
Step 5: Repeat
1. Review the plan again to see what new set of unblocked tasks are available. 2. Continue launching unblocked tasks in parallel until plan is done. 3. Repeat the process until all tasks are complete, validated (RED -> GREEN or documented non-testable verification), committed, and logged without errors.
Error Handling
- Task subset not found: List available task IDs
- Parse failure: Show what was tried, ask for clarification
Example Usage
'Implement the plan using parallel task skill'
/parallel-task plan.md
/parallel-task ./plans/auth-plan.md T1 T2 T4
/parallel-task user-profile-plan.md --tasks T3 T7Execution Summary Template
# Execution Summary
## Tasks Assigned: [N]
### Completed
- Task [ID]: [Name] - [Brief summary]
### Issues
- Task [ID]: [Name]
- Issue: [What went wrong]
- Resolution: [How resolved or what's needed]
### Blocked
- Task [ID]: [Name]
- Blocker: [What's preventing completion]
- Next Steps: [What needs to happen]
## Overall Status
[Completion summary]
## Files Modified
[List of changed files]
## Next Steps
[Recommendations]Related skills
FAQ
How does it decide which tasks run in parallel?
It parses each task's depends_on list and launches every task whose dependencies are complete at the same time, one wave at a time.
Do the subagents push their commits?
No. Each subagent stages only its own files and commits locally; the instructions say NEVER PUSH, ONLY COMMIT.