Forward-Future

Inspect and operate the full DeployBot delivery pipeline. Use when the user invokes DeployBot, asks for thread, PR, queue, CI, deployment, blocker, repair, integration, or timing status, explicitly says deploy, or asks the coordinator to deliver authorized pull requests.

Prepare, review, enqueue, and land GitHub pull requests through a provider-neutral agent merge queue. Use when a PR becomes ready, configured review feedback must be addressed, the user says deploy, or queued changes need safe conflict-aware ordering.

Inspect and operate the full DeployBot delivery pipeline. Use when the user invokes DeployBot, asks for thread, PR, queue, CI, deployment, blocker, repair, integration, or timing status, explicitly says deploy, or asks the coordinator to deliver authorized pull requests.

Prepare, review, enqueue, and land GitHub pull requests through a provider-neutral agent merge queue. Use when a PR becomes ready, configured review feedback must be addressed, the user says deploy, or queued changes need safe conflict-aware ordering.

Inspect and operate the full DeployBot delivery pipeline. Use when the user invokes DeployBot, asks for thread, PR, queue, CI, deployment, blocker, repair, integration, or timing status, explicitly says deploy, or asks the coordinator to deliver authorized pull requests.

Prepare, review, enqueue, and land GitHub pull requests through a provider-neutral agent merge queue. Use when a PR becomes ready, configured review feedback must be addressed, the user says deploy, or queued changes need safe conflict-aware ordering.

Compatibility alias for Loopy. Use only when an existing installation or older instruction explicitly invokes loop-library; use Loopy for new installations and requests. Provides the same discovery, recommendation, audit, repair, adaptation, guided crafting, bounded execution, run debrief, project loop saving, and publication-preparation workflows.

Discover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops for publication. Use when a user asks to analyze code or coding threads for recurring work, find a published loop, interview them to turn a goal into a bounded loop, review a loop for weak checks or unsafe authority, execute a loop with an evidence receipt, learn from completed runs, save or reuse a project loop, or validate and submit a loop to Loop Library.

Explicitly route one task through discovered models for frontier planning, workhorse execution, and independent frontier review.

Explicitly route one task through discovered models for frontier planning, workhorse execution, and independent frontier review.

Discover, find, compare, audit, repair, adapt, and design repeatable AI-agent loops with explicit triggers, actions, verification, stopping conditions, guardrails, and handoffs. Use when a user asks to analyze a codebase for potential loops, mine coding-thread history for work done more than once, turn repeated engineering work into a loop, find or recommend a published loop, create a recurring agent workflow or automation cadence, turn an outcome into a bounded copy-ready loop, or review an existing loop for weak checks, unsafe authority, unbounded repetition, stale state, or unclear stopping behavior.