Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIDeepSeekDeepSeekMuseMuse+22 more

    Workflow to Skillchain

    3

    Convert a repeatable workflow into a reusable agent skill or staged skillchain with contracts and a build receipt.

    Free

    9 usesSecurity scanned
    Workflow to Skillchain

    Workflow to Skillchain

    Example session with this skill installed

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

    • Read your context and instructions
    • Compiled the workflow to skillchain

    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

    Connects securely to your tools. The creator never sees your data.

    About this skill

    What it does

    Turn a repeatable app flow or prompt process into bounded stages with input/output contracts and a build receipt. Use it when a workflow only lives in one chat and you need something another agent can rerun.

    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.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skill Creator Skills.

    • Compiles structure and flags evidence gaps; does not certify production readiness, security, or compliance
    • Deterministic orchestration only when paired with a real hook runner
    • Correctness is bounded to the evidence you provide — emits MISSING_EVIDENCE / OPEN_SLOT_RISK / HAS_UNPROVEN rather than guessing

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

    Reviews

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    Security scanned

    Checked by our 8-point scan before listing

    9 uses

    Times used to date

    Free to use

    No account required to browse

    Trust & safety

    Security scan

    Security scan passed 16 days ago

    • Free with an Agensi account

    Permissions

    No special permissions declared or detected

    Listed5 months ago
    Updated15 days ago

    What's inside

    Frequently Asked Questions

    This skill automates the transition from a manual chat process to a structured agent asset by identifying model-handled vs. tool-handled steps and establishing clear input/output contracts.

    It is designed for any highly capable LLM environment including Claude, GPT-4, Cursor, and Kimi, as well as specialized developer agents that support multi-stage orchestration.

    You receive a comprehensive build receipt that includes a capability index, a staged map of the workflow, and a gap analysis to identify where the logic needs further validation.

    No complex installation is required; once purchased, the skill resides in your library and can be invoked directly within your agentic environment by inputting your existing workflow data.

    While it creates the architectural blueprint and boundary notes for your skill, it does not perform automated security auditing or performance benchmarking for production environments.

    This skill is best suited for complex, repeatable processes such as codebase refactoring cycles, automated reporting flows, or multi-step data extraction routines that require consistency.

    New in Workflow Automation

    Free