.claude/skills/run/SKILL.md
This skill should be used when the user has built and tested workflow artifacts and wants a Run Guide for deploying and operating their AI workflow. It generates a plain-language guide with setup steps, deployment patterns, and sharing instructions — tailored to the user's platform and build path. This is Step 6 (Run) of the Business-First AI Framework.
npx skillsauth add jamesgray-ai/handsonai runInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Generate a Run Guide for deploying, executing, and testing an AI workflow. The Run Guide bridges the gap between "artifacts exist" and "workflow is running."
Design principle: The skill is the framework, the model is the platform expert. No platform names, SDK references, API patterns, GUI walkthroughs, or tool-specific examples appear anywhere in the skill. All platform-specific knowledge is researched by the model at runtime via web search.
Role: You are an Agentic AI Architect. Your role is to guide the user through getting their workflow running — with clear, platform-specific instructions tailored to their technical comfort level.
Determine which build path the user followed:
outputs/[workflow-name]-building-block-spec.md.outputs/[workflow-name]-building-block-spec.md.mode field in the Building Block Spec indicates guided.If the user specifies a file path, use that. Otherwise, look for the most recent Building Block Spec in outputs/ and check conversation context for which path was chosen.
If unclear, ask: "Did the model generate your workflow artifacts (Path 1), are you building them yourself from the spec (Path 2), or did the model produce GUI instruction documents for a guided-mode platform (Path 3)?"
Generate the Run Guide based on the build path.
Variant A: Model-built artifacts (Path 1)
Walk the user through getting the workflow running. Use the platform and code comfort (resolved during artifact generation) to tailor every instruction to their specific setup. Use web search to verify current platform steps. Write in plain language — assume no technical background unless code comfort was confirmed.
The Run Guide covers four sections:
A. What was built — List every artifact produced, what it does, and where it was saved. Use a simple table:
| Artifact | What it does | Location | |----------|-------------|----------|
B. Setup steps — Numbered, platform-specific instructions for getting each artifact into the right place. Research the platform's current UI/workflow via web search. For each step:
C. First run — A guided test run:
D. What to do next — Brief guidance on:
Variant B: Manual build (Path 2)
Provide a Construction Guide instead of setup instructions. The user will build the artifacts themselves.
A. What to build — List every artifact from the spec, what it does, and the recommended file format for the user's platform. Use a table:
| Artifact | Purpose | Format | Priority | |----------|---------|--------|----------|
B. Build sequence — Ordered implementation steps following the spec's recommended implementation order. For each artifact:
C. First run — Same as Variant A: guided test run with sample input.
D. What to do next — Same as Variant A: repeatable trigger, sharing, iteration guidance.
Variant C: Guided-mode platforms (Path 3)
The Build phase produced GUI instruction documents rather than deployable code artifacts. The Run Guide walks the user through following these instructions.
A. What was built — List the instruction documents produced, what each covers, and which platform screens they reference. Use a table:
| Document | What it covers | Platform area | |----------|---------------|---------------|
B. Setup steps — Walk through following the GUI instructions in order:
C. First run — Same as Variant A: guided test with sample input, expected behavior at each step, what good output looks like, common first-run issues.
D. What to do next — How to modify the configuration later, share with team members (if the platform supports it), when to revisit and update, change management notes for organizational workflows.
Present the Run Guide directly in the conversation. Also save it to outputs/[workflow-name]-run-guide.md so the user has a reference they can follow later or share with teammates.
outputs/[workflow-name]-run-guide.md — Run GuidePlain-language guide for getting the workflow running. Three variants:
outputs/[name]-run-guide.md."/ai-registry:writing-sops. The SOP captures what the workflow does, when to trigger it, what inputs it needs, and who's responsible — useful for onboarding teammates and maintaining the workflow over time."documentation
Write Standard Operating Procedure documentation for workflows and save as markdown files. Selects full or lightweight SOP template based on autonomy level (deterministic vs. guided/autonomous), then adapts for workflow type (Manual, Augmented, Automated). Use when the user asks to write an SOP, document a workflow, create procedure documentation, or capture how a workflow is executed. Triggers on "write an SOP", "document this workflow", "create operating instructions", "how is this workflow executed".
documentation
Write Business Process Guide documentation that explains when, why, and how to execute a complete business process with its component workflows, and save as markdown files. Use when documenting a business process end-to-end, creating playbooks, or explaining how multiple workflows fit together. Triggers on "write process guide", "document this process", "create a playbook for", "how do these workflows connect".
development
This skill should be used when the user wants to sync skills to GitHub, push skill changes to a remote repository, or back up local skills. Syncs Claude Agent Skills from ~/.claude/skills/ (local) to GitHub repository using git commands. Commits changes, pushes to remote, and updates Notion AI Building Blocks with GitHub URLs.
development
This skill should be used when the user wants to register or update AI building blocks (Skills, Agents, Prompts, Context MDs) in the Notion AI Building Blocks database. Triggers after skill creation, agent creation, prompt authoring, context MD updates, or when the user asks to register, add, or track a building block in Notion.