Galyarder Framework

Galyarder Framework

Open-source agent skills, commands, and integrations.

Galyarder Framework packages skills, agents, commands, review gates, and operating protocols for AI coding agents, kept inspectable, testable, and human-directed.

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What it is

Most AI-agent setups stop at chat or code generation. They can help with a task, but the work often stays loose: no durable scope, no department routing, no review gates, no audit trail, and no consistent way to move from strategy to implementation.

Galyarder Framework packages the missing operating layer. It gives agents a structured way to receive intent, route work to the right domain, produce plans, execute through tools, verify output, write reports, and hand control back to the operator.

It is not a kanban board, a prompt pack, or another coding agent. It is a framework for turning high-level operator intent into governed company execution.

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How it works

A typical mission follows the same path whether the work is engineering, marketing, finance, sales, documentation, legal, security, or strategy.

1. Intent intake — the operator describes a goal in plain language.
2. Routing — the framework maps the goal to the right department, agent, skill, command, and tool path.
3. Blueprinting — the agent turns the goal into a scoped plan, ticket, checklist, or execution brief.
4. Implementation — work is delegated to specialized agents, commands, and external tools where appropriate.
5. Verification — tests, reviews, source checks, audits, and evidence gates are run before completion claims.
6. Reporting — the result is written back as a useful artifact: code diff, docs, launch plan, security note, financial model, campaign, decision log, or operational report.

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Agentic company lifecycle

Galyarder Framework bridges the gap between intent and execution through a repeatable operating loop:

1. Intent Extraction — distill business goals into scoped specifications, tickets, or working briefs.
2. Strategic Blueprinting — design the mission with constraints, risks, success criteria, and execution sequence.
3. Specialist Execution — route work through domain agents, skills, commands, and tool adapters.
4. Operational Auditing — verify work through tests, security checks, source review, build checks, or evidence contracts.
5. Distribution & Memory — turn completed work into docs, release notes, reports, campaigns, decisions, and reusable knowledge.

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What you get

A multi-domain kit in one repository: