DanMcInerney
Community indexed
Orchflows
Composable orchestration skills for Codex and Claude Code
Overview
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
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
View original text
# 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 Review the source
Price & running costs
- Get the skill
- Price unconfirmed
- Run it
- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- MIT
- Price unconfirmed
- We have not confirmed a price for this skill. Existing source and install links remain available.
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Source structure unverified
A repository listing is not proof of an installable skill. Review its instructions before proposing any installation.
Review before install: Avoid automatic install
License: 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
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
Indexed
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- DanMcInerney/orchflows
- License
- MIT
- Version
- 1.0.0
- Last GitHub push
- Aug 9, 2026
- Registry updated
- Sep 1, 2026
- Instruction path
- Source structure unverified
Version reported in registry metadata; check source releases before relying on it.
Quality
72/100
Strong
Trust
65/100
Sandbox only
Audit
78/100
Needs review
- 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
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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}For the creator
Listing source
Community indexed
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- Creator
- DanMcInerney
- Source
- DanMcInerney/orchflows
- Indexed by
- OpenAgentSkill community index
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