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VeselyVesely/skills/dynamic-agents/SKILL.md

dynamic-agents

Skill28 starsChanged 7 months agoNo licenceView on GitHub

Orchestrate a large task across multiple agents with cost-aware model routing — session model for judgment-heavy work, Sonnet for mechanical work, Fable or GPT-5.6-sol-and-newer via Codex CLI for the hardest nodes and cross-model review. Decomposes, routes, picks fan-out vs team topology, presents the plan, executes, and verifies. Use when the user invokes /dynamic-agents, says "dynamic agents" or "fan out dynamic", explicitly asks to parallelize or split work across agents or models, or hands over a task too big for one agent pass (multi-subsystem feature, repo-wide audit or migration, research plus implementation) whose subtasks are independent enough to run in parallel. NOT for tasks one agent can finish inline, even multi-file ones.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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  • It worked
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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.