Open Horizon Labs avatar

Open Horizon Labs

Official

@open-horizon-labs · United States of America

0Followers
|
34Public Repos
|
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.