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Open Horizon Labs

Official

@open-horizon-labs · United States of America

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34Public Repos
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24Published Skills

The other half of AI

Skills Distribution
DomainDeveloper To...Software Lifecycle.. (40%)Decision Engineering (30%)Version Control Or.. (30%)

Agent Skills by Open Horizon Labs

Showing 24 vetted skills indexed across 3 GitHub repositories.

open-horizon-labsopen-horizon-labs
13

superego

Evaluate coding conversations for alignment, focus, and proportionality before edits.

Official
Intermediate
open-horizon-labsopen-horizon-labs
3

problem-statement

Define and reframe problems into structured, testable problem statements.

Official
Intermediate
open-horizon-labsopen-horizon-labs
3

dissent

Surface contrary evidence and assumptions during major decisions.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

salvage

Extract structured learnings and restart context from drifting sessions.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

solution-space

Generate and compare candidate solution approaches with trade-offs and a local-maxima check.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

review

Detect drift between intent and execution at natural pause points.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

teach-oh

Generate AGENTS.md files with structured Open Horizons Framework context across sessions.

Official
Intermediate
open-horizon-labsopen-horizon-labs
3

execute

Execute chosen solutions with pre-flight checks, incremental builds, drift detection, and salvage handling.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

ship

Coordinate merged code delivery through CI/CD pipelines and production readiness checks.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

aim

Define a concrete user behavior change with current and desired states.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

problem-space

Identify project objectives, constraints, and terrain into a Problem Space Map.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

bottle

Manage Open Horizon Labs tools via a scriptable CLI.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

wm

Manage AI session memory with wm CLI commands like dive, compile, and distill.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

sg

Evaluate AI decisions with sg CLI commands like review, init, and audit.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

ba

Track AI-session tasks with file-based CLI commands in .ba/ directories.

Official
Basic
open-horizon-labsopen-horizon-labs
3

dive-prep

Gather local documents and repository state into a .wm/dive_context.md file.

Official
Basic
open-horizon-labsopen-horizon-labs
3

oh-plan

Convert grounding context into 1–4 GitHub issues with acceptance criteria.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

drummer

Batch review and merge stacked PRs labeled drummer-merge with CI checks and rebasing.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

oh-notes

Manage GitHub PR feedback by creating isolated worktrees and guiding fixes.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

mouse

Automate ba task workflows with Git branches and PR orchestration.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

jira-plan

Convert session context into Jira subtasks under a specified parent.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

notes

Orchestrate a focused worktree workflow to address pull request feedback.

Official
Basic
open-horizon-labsopen-horizon-labs
3

oh-task

Automate GitHub issue completion from branch worktree to pull request.

Official
Advanced
open-horizon-labsopen-horizon-labs
3

oh-merge

Batch-review and merge stacked GitHub PRs in dependency order.

Official
Advanced

Frequently Asked Questions About Open Horizon Labs

FAQPage Schema
What specific tasks can engineers perform using these capabilities?

Engineers can manage complex pull request feedback loops, batch-merge stacked branches, track session-based tasks via local file directories, and convert project context into structured GitHub issues or Jira subtasks.

Which personas benefit most from these technical methodologies?

Senior software engineers, technical leads, and engineering managers who oversee complex, multi-branch development cycles and require rigorous decision-tracking to prevent drift between project intent and final code execution.

What are the prerequisites for implementing these methodologies?

Implementation requires a Git-based environment, familiarity with worktree-based development, and existing integration with GitHub or Jira for issue tracking. Users must be comfortable managing local configuration directories to maintain session state.