GStars
    amElnagdy

    amElnagdy/delegate-skills

    Delegate a coding task to a separate coding agent CLI, review the diff, land the commit yourself — one per implementer.

    cli
    agent-skills
    ai-coding-agent
    antigravity
    claude-code
    claude-code-skills
    JavaScript
    MIT
    2.6K stars
    220 forks
    23 GitHub watchers
    Updated Nov 5, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 34 contributors on GitHub.

    Use Cases & Benefits

    • Delegates coding tasks to separate AI coding agent CLIs, enabling review of diffs and manual commit landing per implementer.
    • Provides a unified relay interface to orchestrate multiple AI coding agents with explicit review and commit control, ensuring safe and auditable code changes.
    • Use for managing multi-agent coding workflows by assigning specific lanes like feature, tests, or UI to different AI implementers.
    • Use for integrating various AI coding CLIs into a single orchestrator while maintaining manual oversight of code changes before committing.
    • Use for automating bounded coding tasks such as migrations or refactors with AI agents, while preserving human review and commit authority.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Create your fleet of lanes. One orchestrator, the right implementer for every job.

    Discover the implementer CLIs already installed on your machine, organize them into lanes like feature, tests, and ui, then delegate by lane — or choose one implementer directly. Either way, you keep the review and the commit.

    A fleet is your set of named lanes. Each lane binds a kind of work to one implementer and optional dials such as model, effort, or variant. Setup discovers what is available, proposes a compact fleet, shows you the complete configuration, and writes only after explicit approval.

    Configuration can apply globally or to one repository. Once it is ready, dispatch with the matching *-delegate skill and --lane <name>. Explicit flags override lane dials, and the wrong implementer skill for a lane fails loud. Project config is content-bound to explicit setup approval, so cloned or edited project lanes fail closed until re-approved. See the delegate-fleet.v1 schema for paths, supported dials, and overlay behavior.

    Excerpt from the amElnagdy/delegate-skills README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Aug 16: +68Aug 17: +65Aug 18: +35Aug 19: +18Aug 20: +20Aug 31: +46Sep 1: +72Sep 2: +13Sep 3: +42Sep 4: +16Sep 5: +18Sep 8: +51Sep 9: +15

    +1,571 stars over 83 days across 20 snapshot days; best day +72 on Sep 1.

    Forks

    220+116

    Open issues

    40+24

    Compared with peers in CLI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    View category →
    amElnagdy/delegate-skills compared with CLI repositories by stars, 7-day star growth, health score and last release
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    obra/superpowers313.1K+4.5K532 days ago
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    amElnagdy/delegate-skills2.6K—37—
    Category median116.8K+6.6K40—
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