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Orchflows

Composable orchestration skills for Codex and Claude Code

Preis unbestätigt★ 44 GitHub-StarsVerzeichnis aktualisiert · 1. Sept. 2026orchestration subagents workflow

Übersicht

A composable skill library that turns Claude Code or Codex into an orchestrator with parallel subagents, verification, and self-improving workflows.

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orchflows

orchflows ↗

A skill library that turns Claude Code or Codex into an orchestrator: subagents that work in parallel, real verification of everything they produce, and workflows that improve themselves. You just talk; it picks the right workflow.

Install

git clone https://github.com/DanMcInerney/orchflows
cd orchflows
./install.sh          # install.cmd on Windows

Works with Claude Code and Codex, on Windows, macOS, and Linux. It configures whichever CLI it finds. To update: git pull, rerun.

Use

Ask for things like you normally would. There are no skill names to memorize.

> why did memory double last release?
# a cited answer from a read-only research lane

> ship dark mode
# a frozen spec, tickets, parallel subagents, one review gate,
# and a final verification against what you asked for

> fix the flaky login test
# reproduce it, prove the cause, repair it, guard the repair

> research the top three auth libraries, then integrate the winner
# a research run chained into a code run, automatically

Small requests stay small — a one-line question costs a one-line answer. Big requests get real project structure. Nothing marks "done" except an external check passing.

More ways to use it

Routing has four branches — answer, ad-hoc, deliver, fix — and picks the smallest one that can prove it's done. Everything else runs only when you name it, so the routing table never grows as the library does. The routing law is rules/topology.md §2, installed at ~/.orchflows/host-block.md. If routing gets in the way, orch-off stands it down for the session.

Name the bricks yourself when you want a specific shape:

> orch-loop orch-deliver until `pytest -q` exits 0
> orch-panel these three cache designs — blind judges, pick one
> evolve the summarizer prompt against the frozen benchmark

Or build your own workflow in plain English:

> build me a workflow that does spec

Quelle ansehen ↗

Originaltext anzeigen

# orchflows

![orchflows](docs/banner.png)

A skill library that turns Claude Code or Codex into an orchestrator:
subagents that work in parallel, real verification of everything they
produce, and workflows that improve themselves. You just talk; it
picks the right workflow.

## Install

    git clone https://github.com/DanMcInerney/orchflows
    cd orchflows
    ./install.sh          # install.cmd on Windows

Works with Claude Code and Codex, on Windows, macOS, and Linux. It
configures whichever CLI it finds. To update: `git pull`, rerun.

## Use

Ask for things like you normally would. There are no skill names to
memorize.

    > why did memory double last release?
    # a cited answer from a read-only research lane

    > ship dark mode
    # a frozen spec, tickets, parallel subagents, one review gate,
    # and a final verification against what you asked for

    > fix the flaky login test
    # reproduce it, prove the cause, repair it, guard the repair

    > research the top three auth libraries, then integrate the winner
    # a research run chained into a code run, automatically

Small requests stay small — a one-line question costs a one-line
answer. Big requests get real project structure. Nothing marks "done"
except an external check passing.

## More ways to use it

Routing has four branches — answer, ad-hoc, deliver, fix — and picks
the smallest one that can prove it's done. Everything else runs only
when you name it, so the routing table never grows as the library
does. The routing law is `rules/topology.md` §2, installed at
`~/.orchflows/host-block.md`. If routing gets in the way, `orch-off`
stands it down for the session.

Name the bricks yourself when you want a specific shape:

    > orch-loop orch-deliver until `pytest -q` exits 0
    > orch-panel these three cache designs — blind judges, pick one
    > evolve the summarizer prompt against the frozen benchmark

Or build your own workflow in plain English:

    > build me a workflow that does spec

Quelle prüfen

Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: MIT
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Quellstruktur ungeprüft

Ein gelistetes Repository beweist keinen installierbaren Skill. Prüfe zuerst die Anleitungen.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 44 GitHub stars
Stars/forks activity: 44 stars, 3 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: DanMcInerney/orchflows
Lizenz: MIT
Version: 1.0.0
Letzter GitHub-Push: 9. Aug. 2026
Verzeichnis aktualisiert: 1. Sept. 2026
Anleitungspfad: Quellstruktur ungeprüft

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

72/100

Stark

Vertrauen

65/100

Nur Sandbox

Audit

78/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 44 GitHub stars
Stars/forks activity: 44 stars, 3 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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Quelle des Eintrags

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Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: DanMcInerney
Quelle: DanMcInerney/orchflows
Indexiert von: OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

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