deleguate-tasks

Solid

Delegate and track work through an external agent harness only when the user explicitly requests it.

AI & Automation 9 stars 1 forks Updated today MIT

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Quality Score: 82/100

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Skill Content

# Deleguate Tasks Delegate through the packaged batch runner and read its compact result. Keep worker logs and bookkeeping outside the coordinator's context. ## Invocation and defaults - Run only after an explicit user request to delegate; ordinary implementation, review, or cost-reduction requests do not activate this workflow. Creating or discussing this skill does not authorize launching workers. - Preserve the requested spelling: `/deleguate-tasks` in Claude, `$deleguate-tasks` in Codex, or an explicit natural-language delegation request where the host supports it. With implicit discovery disabled, use the named invocation if a host does not resolve the natural request. - Default to `agy`, model `gemini-3.8-flash-high` (Gemini 3.8 Flash High), effort `high`. User-selected harness, model, effort, and concurrency override these defaults; the Gemini default applies only to agy. - Start with one active worker. For an explicit multi-task delegation, run up to two independent tasks concurrently when their workspace ownership is isolated; respect any user-specified limit. Run dependencies in order. - Use the harness's native CLI and existing authenticated account. Do not silently switch harnesses, models, API billing, credit fallback, or permission policies when blocked. ## Workflow Aim for one preparation phase, one batch execution, and one final review. Batch independent reads. Reuse existing tests; for a small deterministic check, put a concise `python -c` assertion in `...

Details

Author
fmind
Repository
fmind/dot
Created
5 months ago
Last Updated
today
Language
Python
License
MIT

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