Workflow to Skillchain
by Corey Jacobs
Convert a repeatable workflow into a reusable agent skill or staged skillchain candidate.
- Partition workflows into LLM reasoning steps vs. direct tool executions
- Audit complex agent prompts to identify 'Open Slot' hallucination risks
- Generate deterministic state contracts for multi-step AI agent tasks
$39
· or 195 creditsSecure checkout via Stripe
Included in download
- Partition workflows into LLM reasoning steps vs. direct tool executions
- Audit complex agent prompts to identify 'Open Slot' hallucination risks
- Ready for Claude Code
Sample input
Analyze my current Python FastAPI web scraper repo and compile it into a structured Skillchain so an agent can run it reliably.
Sample output
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
Workflow to Skillchain
by Corey Jacobs
Convert a repeatable workflow into a reusable agent skill or staged skillchain candidate.
$39
· or 195 creditsSecure checkout via Stripe
Included in download
- Partition workflows into LLM reasoning steps vs. direct tool executions
- Audit complex agent prompts to identify 'Open Slot' hallucination risks
- Ready for Claude Code
- Instant install
Sample input
Analyze my current Python FastAPI web scraper repo and compile it into a structured Skillchain so an agent can run it reliably.
Sample output
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.
Use Cases
- Partition workflows into LLM reasoning steps vs. direct tool executions
- Audit complex agent prompts to identify 'Open Slot' hallucination risks
- Generate deterministic state contracts for multi-step AI agent tasks
- Turning repeatable prompt workflows into reusable agent skills
- Converting app flows or repo slices into structured AI handoff packages
- Designing staged LLM workflows with clear inputs, outputs, and stop conditions
- Separating model-handled reasoning steps from tool-shaped execution steps
- Creating build receipts for agent workflows that need to be reused or continued later
- Documenting proof gaps before claiming a workflow is ready
- Preparing Claude, Codex, Cursor, GPT, or Kimi workflows for repeatable use
- Turning one-off AI sessions into reusable workflow structure
- Creating skillchain candidates for multi-step agent workflows
- Mapping workflow capabilities before building tools or automations
Known Limitations
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 Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/workflow-to-skillchain -o /tmp/workflow-to-skillchain.zip && unzip -o /tmp/workflow-to-skillchain.zip -d ~/.claude/skills && rm /tmp/workflow-to-skillchain.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
Reviews
No reviews yet - be the first to share your experience.
Only users who have downloaded or purchased this skill can leave a review.
Early access skill
Be the first to review this skill.
Only users who have downloaded or purchased this skill can leave a review.
Security Scanned
Passed automated security review
Permissions
Allowed Hosts
File Scopes
Tags
This is a portable SKILL.md-style workflow package. Best used with Claude, Claude Code, Codex, Cursor, GPT, Kimi K2, or another capable LLM/agent that can follow structured instructions and emit Markdown or JSON receipts.
Creator
Frequently Asked Questions
Learn More About AI Agent Skills
More Premium Skills
skill-router-2
Automatically detect, load, and stack the perfect skills combo for any user request.
cinematic-sites
Turn any basic business URL into a high-end cinematic landing page with AI-generated 4K assets and GSAP animations.
Multi-Agent Orchestration Master Library
Transform Claude Code into a coordinated multi-agent system. Battle-tested tmux orchestration patterns, YAML task queues, event-driven communication, and parallel worker management for 8+ agents.
endless-loop
Autonomous research and task loop that builds on previous findings to solve complex objectives while you sleep.