agentsclimarketplace

Parallel launch

Skill OutlineDriven/odin-claude-plugin/skills/parallel-launch

Use when the request has multiple independent sub-tasks, cross-domain research, or parallelizable file or module work.From its SKILL.md

Install
npx -y skills add OutlineDriven/odin-claude-plugin --skill parallel-launch

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

2.1 KB, 389 tokens by cl100k_base, as published. Nobody here has run it

Parallel Launch

Decompose the given task into independent agent groups and execute them in broad parallel.

Process

  1. Analyze the task and identify independent concerns that can run concurrently.

    • Each concern must be self-contained: no shared mutable state, no ordering dependency.
    • If concerns have dependencies, sequence the dependent batch after the independent batch completes.
    • Consult delegation scenarios for parallelism decisions.
  2. Design agent groups for each independent concern:

    • Assign a clear, scoped objective (one concern per agent).
    • Select the appropriate tailored agent type (Explore, Plan, or a domain specialist) — prefer a task-specific agent over a general one.
    • Define expected output format so results can be composed.
  3. Launch all independent agents in a single tool call.

  4. Compose results once all agents complete:

    • Merge non-conflicting outputs directly.
    • For conflicting or overlapping results, reconcile and present trade-offs to the user.
    • If any agent failed or returned incomplete results, report the gap and propose a targeted follow-up.
  5. Review composed output by dispatching a review agent to verify:

    • Completeness: All original concerns addressed, no gaps.
    • Consistency: No contradictions between agent outputs.
    • Accuracy: Claims are substantiated, sources checked, no hallucinated findings.
    • Scope: Nothing extra built beyond what was asked.
    • For implementation work, additionally verify spec compliance and code quality.
  6. Report to user only after review passes.

Constraints

  • Agents per batch: match the number of truly independent concerns (avoid artificial splitting).
  • Each agent prompt must include full context; agents do not share memory.
  • If the task has fewer than 2 independent concerns, execute directly instead of launching agents.

What ships with it: 1 file

1.3 KB alongside SKILL.md

references/

Gives 0 of the 12 instructions most product growth skills give in 389 tokens

Counted across 728 of the 1,010 authors here whose files we hold, read 2026-08-07

  • Read product marketing context before asking questionsin 24 of 728, across 18 files
  • Define the ideal customer profilein 21 of 728, across 3 files
  • Document a rollback plan before deploymentin 21 of 728, across 12 files
  • Analyze the codebase to understand the productin 19 of 728, across 1 file
  • Ask clarifying questions about the value propositionin 19 of 728, across 1 file
  • Search for companies matching the criteriain 19 of 728, across 1 file
  • Look for signals of immediate needin 19 of 728, across 1 file
  • Assign a fit score from one to tenin 19 of 728, across 1 file
  • Identify the target decision-maker rolein 19 of 728, across 1 file
  • Suggest a personalized contact strategyin 19 of 728, across 1 file
  • Provide conversation starters for outreachin 19 of 728, across 1 file
  • Format results in a scannable markdown templatein 19 of 728, across 1 file

Said here and by no other author read

  • decompose the task into independent concurrent concerns
  • sequence dependent batches after independent batches complete
  • assign one scoped concern per agent
  • prefer a task-specific agent over a general one
  • define expected output formats for all agents
  • launch all independent agents in a single call

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 326,835. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.