Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurf+15 more

    Workflow to Skillchain

    by Corey Jacobs

    2

    Convert a repeatable workflow into a reusable agent skill or staged skillchain candidate.

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    See it in action

    You say

    Analyze my current Python FastAPI web scraper repo and compile it into a structured Skillchain so an agent can run it reliably.

    Your agent does

    Workflow Build Receipt

    1. Verdict: PASS

    3. Capability Index: [C1: URL Extraction, C3: HTML Parsing]

    4. Partition: [C1: TOOL, C3: CARD]

    5. Topology: SKILLCHAIN (Extract -> Parse -> Save)

    11. Receipt: {"status": "SUCCESS", "nodes": 3, "open_slots": 0}

    COMPILER_PASS

    About this skill

    What it does

    Workflow-to-Agent-Skill Builder helps turn a repeatable workflow, app flow, repo slice, prompt process, or checkpoint folder into a reusable agent skill or staged skillchain candidate.

    Instead of producing another one-off prompt, it guides a capable model through a structured build process: identify the workflow’s capabilities, separate model-handled steps from tool-shaped steps, define input/output contracts, map stage boundaries, surface proof gaps, and produce a build receipt.

    Why use this skill

    AI workflows often lose reliability when the process only exists inside one chat session. This package helps convert repeatable work into a handoff-ready structure another model or operator can inspect, reuse, and improve.

    The workflow emphasizes bounded stages, clear contracts, proof gaps, and receipts. That makes the resulting skill candidate easier to review, easier to continue, and easier to audit than an unstructured prompt handoff.

    Supported tools and frameworks

    Works with capable LLM-orchestrated environments such as Claude, Codex, Cursor, GPT, Kimi, or similar agent workflows.

    Useful for:

    • turning a repeated prompt workflow into a reusable skill
    • converting an app flow into staged agent instructions
    • defining where model reasoning should stop and tool execution should begin
    • creating a build receipt another operator can continue from
    • documenting proof gaps before claiming a workflow is ready

    The output

    You receive a structured build receipt with a capability index, stage map, input/output contracts, tool-boundary notes, proof gaps, and packaging guidance.

    Important boundary

    This is a workflow-structure builder. It does not certify production readiness, security, compliance, benchmark performance, or implementation correctness.

    How to install

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

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    Verified clean 1 month ago

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    Listed1 month ago

    Creator

    AI Autodidact living at the edge.

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