Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
pixel-process-ug avatar

Dispatching Parallel Agents

  • 69 installs
  • 1 repo stars
  • Updated March 16, 2026
  • pixel-process-ug/superkit-agents

Helps with ai & agent building tasks.

About

dispatching-parallel-agents is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • dispatching-parallel-agents
  • AI & Agent Building
  • AI-coding skill

Dispatching Parallel Agents by the numbers

  • 69 all-time installs (skills.sh)
  • +2 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #5,786 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/pixel-process-ug/superkit-agents --skill dispatching-parallel-agents

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs69
repo stars1
Last updatedMarch 16, 2026
Repositorypixel-process-ug/superkit-agents

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Dispatching Parallel Agents

Overview

This skill coordinates multiple agents working concurrently on independent subtasks to reduce total execution time while maintaining correctness. It provides strict rules for identifying safe parallelization opportunities, writing focused agent prompts, and integrating results without conflicts. The key constraint is that no two agents may modify the same file.

Announce at start: "I'm using the dispatching-parallel-agents skill to run [N] independent tasks concurrently."

Agent Tool Reference

All dispatch uses the Agent tool. Parameters:

  • prompt (required) — task description with full context
  • description (required) — short label (3-5 words)
  • subagent_type"Explore" (codebase search), "Plan" (architecture), "general-purpose" (default)
  • run_in_backgroundtrue for async (you'll be notified on completion)
  • model — optional override: "sonnet", "opus", "haiku"

Parallel: Multiple Agent calls in one message run concurrently. Background: run_in_background=true for non-blocking work. Named agents: Use subagent_type to reference installed agent templates (e.g., "superpowers:code-reviewer").

Trigger Conditions

  • A task decomposes into 2+ subtasks with no data dependencies between them
  • Each subtask operates on different files or different sections of the codebase
  • The combined result can be assembled after all agents complete
  • Total serial time would be significantly longer than parallel time
  • /decompose output reveals independent task clusters

---

Phase 1: Independence Verification

Goal: Confirm subtasks are truly independent and safe to parallelize.

Every subtask must satisfy ALL four independence criteria:

CriterionQuestionIf NO
No shared filesDo any two agents write to the same file?Serialize those tasks
No shared mutable stateDoes any agent depend on a side effect of another?Serialize dependent tasks
Self-contained contextCan each agent work with only its own inputs?Provide more context or serialize
Independent verificationCan each agent's output be validated alone?Combine into single task

Parallelization Decision Table

ScenarioParallelize?Reason
Different files, different concernsYesNo conflict possible
Same module, different filesYes (careful)Verify no shared imports change
Same file, different sectionsNoMerge conflicts inevitable
Task B uses Task A's outputNoSequential dependency
Both read same files, write differentYesReads are safe to parallelize
Both modify shared config fileNoConfig conflicts
Independent test filesYesTests are independent
One agent adds dep, another uses itNoPackage-level dependency

When NOT to Parallelize

  • Subtasks share mutable state or modify the same files
  • Task B depends on the output of Task A
  • The overhead of coordination exceeds the time saved
  • A single agent can complete the work in under 30 seconds
  • The task requires iterative refinement where each step informs the next

STOP — Do NOT dispatch agents (via the `Agent` tool) until:

  • [ ] All four independence criteria verified for every subtask pair
  • [ ] No two agents write to the same file
  • [ ] Each agent's context is self-contained

---

Phase 2: Prompt Construction

Goal: Write focused, unambiguous prompts that prevent scope creep and conflicts.

Each agent prompt MUST contain exactly four sections:

Section 1: Scope (What to Do)

Be specific about the exact task, files, and expected changes.

SCOPE: Add structured JSON logging to all API route handlers in src/api/.
Replace console.log calls with the logger from src/utils/logger.ts.
Files to modify: src/api/users.ts, src/api/orders.ts, src/api/products.ts.

Section 2: Context (Everything Needed)

Provide all information the agent needs without requiring it to explore.

CONTEXT:
- Logger API: logger.info(message, metadata), logger.error(message, error)
- Import: import { logger } from '../utils/logger'
- Current pattern in files: console.log('action', data)
- Target pattern: logger.info('action', { data, requestId: req.id })

Section 3: Output Format (What to Return)

Define exactly what the agent should produce.

OUTPUT: For each modified file, return:
1. The file path
2. A summary of changes made
3. Number of console.log calls replaced

Section 4: Constraints (What NOT to Do)

Prevent scope creep and conflicts explicitly.

CONSTRAINTS:
- Do NOT modify any files outside src/api/
- Do NOT change the logger utility itself
- Do NOT add new dependencies
- Do NOT refactor function signatures
- Do NOT modify test files
- If you encounter an issue outside your scope, report it but do not fix it

Agent Prompt Template

You are a focused agent with a single task.

## Scope
[Specific task description with exact files]

## Context
[All information needed to complete the task]
[Relevant code patterns, APIs, conventions]

## Output Format
[Exact structure of what to return]

## Constraints
- Do NOT modify files outside: [list]
- Do NOT change: [list things to leave alone]
- Do NOT add dependencies
- If you encounter an issue outside your scope, report it but do not fix it

Prompt Quality Checklist

CheckQuestion
Scope is specificCan the agent complete the task without guessing?
Context is completeDoes the agent need to explore the codebase? (should be no)
Output is definedWill the agent return what you need to integrate?
Constraints are explicitAre file boundaries and "do NOT" items clear?

STOP — Do NOT dispatch (via the `Agent` tool) until:

  • [ ] Every prompt has all 4 sections
  • [ ] No prompt requires the agent to explore beyond provided context
  • [ ] File boundaries are explicit in every constraint section

---

Phase 3: Dispatch and Monitor

Goal: Launch all agents (via the Agent tool) concurrently and track completion.

1. Launch all agents concurrently by invoking multiple Agent tool calls in a single message 2. Each agent works in isolation on its designated files 3. Monitor for completion — wait for ALL agents to finish 4. Collect outputs from every agent

Dispatch Tracking Table

| Agent | Task | Status | Files | Result |
|-------|------|--------|-------|--------|
| Agent 1 | Add logging to API | in_progress | src/api/*.ts | — |
| Agent 2 | Update unit tests | in_progress | tests/unit/*.ts | — |
| Agent 3 | Fix CSS layout | in_progress | src/styles/*.css | — |

Failure Handling During Dispatch

ScenarioAction
One agent fails, others succeedRetry failed agent independently (via the Agent tool)
Multiple agents fail independentlyRetry each independently (via the Agent tool)
Agent reports out-of-scope issueNote for post-integration review
Agent exceeds scope (modifies wrong files)Reject output, re-dispatch (via the Agent tool) with stricter constraints

---

Phase 4: Integration and Verification

Goal: Combine all agent outputs and verify the integrated result.

1. Collect outputs — Gather results from every agent 2. Check for conflicts — Verify no file was modified by multiple agents 3. Apply changes — Integrate all outputs into the codebase 4. Run integration checks — Execute the full test suite 5. Resolve issues — If integration fails, identify which agent's changes caused it 6. Commit atomically — All changes go in together or not at all

Integration Verification Checklist

CheckCommandMust Pass
No file conflictsDiff outputs for shared filesYes
Tests passFull test suiteYes
Build passesBuild commandYes
Lint passesLint commandYes
No regressionsCompare test count before/afterYes

Integration Failure Decision Table

Failure TypeDiagnosisAction
Test failure in Agent 1's filesAgent 1's changes have a bugRe-dispatch Agent 1 (via the Agent tool) with test failure context
Test failure in unrelated filesCross-cutting regressionIdentify root cause, fix manually or re-dispatch (via the Agent tool)
Build failureImport/type issueCheck which agent's changes caused it, fix
Merge conflictAgents touched same file (should not happen)Rollback, serialize those tasks

STOP — Do NOT commit until:

  • [ ] All agent outputs collected
  • [ ] No file conflicts detected
  • [ ] Full test suite passes
  • [ ] Build and lint pass

---

Common Parallel Patterns

Pattern Decision Table

PatternWhen to UseExample
By ModuleIndependent modules or packagesOne Agent call per microservice
By LayerLayers touch different filesAPI agent, service agent, data agent
By Feature AreaIndependent vertical slicesAuth agent, profile agent, billing agent
By Task TypeCode, tests, docs touch different filesCode agent, test agent, docs agent

Example: Full Dispatch

TASK: "Update the API to v2, add tests, and update OpenAPI spec"

AGENT 1 - API Routes:
  Scope: Update route handlers in src/routes/v2/
  Context: [v2 API spec, breaking changes list]
  Output: Modified files list, breaking changes implemented
  Constraints: Do NOT touch tests or docs

AGENT 2 - Tests:
  Scope: Write tests in tests/v2/
  Context: [v2 API spec, test conventions, existing v1 tests as reference]
  Output: New test files, coverage summary
  Constraints: Do NOT modify source code

AGENT 3 - OpenAPI Spec:
  Scope: Update openapi/v2.yaml
  Context: [v2 API spec, OpenAPI 3.1 format]
  Output: Updated spec file
  Constraints: Do NOT modify code or tests

---

Anti-Patterns / Common Mistakes

Anti-PatternWhy It FailsCorrect Approach
Two agents modifying the same fileMerge conflicts, data lossOne file owner per Agent dispatch
Shared mutable state between agentsRace conditions, inconsistencyEliminate shared state
Incomplete context in promptsAgents explore and step on each otherProvide ALL needed context
Vague file boundariesAgents guess scope, modify wrong filesExplicit file lists in constraints
No integration check after completionCross-cutting bugs go undetectedFull test suite after integration
Parallelizing sequential tasksAgent B needs Agent A's outputVerify independence first
Not tracking which agent touched which fileCannot diagnose integration failuresMaintain dispatch tracking table
Dispatching too many agents (10+)Coordination overhead exceeds savings2-5 Agent calls per dispatch round
Skipping rollback preparationCannot recover from integration failureKeep pre-dispatch state recoverable

---

Anti-Rationalization Guards

<HARD-GATE> Do NOT dispatch agents (via the Agent tool) that modify the same file. Do NOT parallelize tasks with data dependencies. Do NOT skip integration verification. If independence criteria are not met, serialize the tasks. </HARD-GATE>

If you catch yourself thinking:

  • "These agents probably won't conflict..." — Verify. Do not assume.
  • "The integration will be fine..." — Run the full test suite. Always.
  • "I can merge their changes to the same file manually..." — No. One file, one owner.

---

Integration Points

SkillRelationshipWhen
task-decompositionUpstream — identifies independent task clustersBefore dispatching
subagent-driven-developmentComplementary — provides review gatesQuality gates for agent output
executing-plansUpstream — may delegate independent tasksDuring plan execution
verification-before-completionDownstream — verifies integrated resultAfter integration
code-reviewDownstream — reviews integrated changesAfter all agents complete
resilient-executionOn failure — retries failed agentsWhen individual agents fail

---

Parallelism Safety Rules Summary

RuleRationale
No two agents modify the same filePrevents merge conflicts and race conditions
No shared mutable stateEliminates data races
Each agent gets complete contextPrevents agents from exploring and stepping on each other
Define file boundaries explicitlyMakes ownership unambiguous
Review integration after completionCatches cross-cutting issues
Atomic commit for all changesAll in or all out
Always have a rollback pathKeep pre-dispatch state recoverable

---

Skill Type

RIGID — Follow this process exactly. Independence verification is mandatory. All four prompt sections are mandatory. Integration verification is mandatory. No shortcuts on parallelism safety.

Related skills

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.