Adopt Keelson

    2

    Establish a disciplined, issue-driven agentic operating model with automated tracking and strategic human-in-the-loop.

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    6 installsSecurity scanned

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurf+15 more

    See it in action

    You say

    We need to formalize how agents work in this repo. Let's adopt the Keelson issue-driven flow.

    Your agent does

    Perfect. I'll start the Keelson configuration. This will take ~8-20 rounds to map your SDLC.

    Round 1: Discovery. Can you describe your current delivery stages? From intake and triage to QA and release—what's solid, and what do you want me to tighten up?

    About this skill

    A Disciplined Agentic Operating Model

    The Adopt Keelson skill implements a rigorous, issue-driven workflow for your repository. It transforms your agent from a simple chatbot into a disciplined contributor that follows a structured frame → plan → implement → open-change → gate → close lifecycle. It solves the "agent chaos" problem where AI agents make uncoordinated changes, bypass repository conventions, or fail to communicate their intent.

    What it does

    This skill initiates a deliberate, multi-round configuration session (typically 8–20 rounds) to map your specific SDLC and project requirements. At a high level, it:

    • Conducts a thorough discovery phase to understand your branching models, tracker terminology (GitHub, Jira, Linear, etc.), and delivery stages.
    • Establishes the "Tactical vs. Strategic" boundary, defining exactly where the agent acts autonomously and where it must escalate for human approval.
    • Generates a repository-specific AGENTS.md substrate and a set of localized, plain-language lifecycle skills.
    • Integrates quality gates and engineering standards directly into the agent's operating instructions.

    Why developer teams use Keelson

    Unlike simple prompting, Keelson ensures your agent respects your specific "Source of Truth," documentation standards (like ADRs), and status-flow rules. The result is an agent that manages its own backlog, writes self-reviewing PRs, and never proceeds under uncertainty without asking—providing true tactical autonomy within a strategic human-in-the-loop framework.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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