- Home
- Skills
- Workflow Automation
- Workflow to Skillchain
Works with the AI Agents you already use
Workflow to Skillchain
Convert a repeatable workflow into a reusable agent skill or staged skillchain with contracts and a build receipt.
Free
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
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
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 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
No reviews yet
Be one of the first to try it. Every listed skill goes through the trust checks below.
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