Scenario solution / L2 local file edits with review
Generate a local agent skill scaffold
Direct Answer
A user wants to turn a repeatable workflow into a reusable skill. GetSkillary maps this scenario to a reusable skill bundle and a read-only MCP discovery workflow.
Nontechnical Solution Summary
- What this solution helps you complete
- Helps you turn a repeatable local workflow into a reusable agent skill scaffold.
- What you need to provide
- Workflow goal
- Inputs and outputs
- Safety boundaries
- What Codex will do
- Use search_solutions -> get_solution_detail -> recommend_solution_skills -> get_solution_install_plan to find and inspect the GetSkillary scenario solution.
- Review the primary skill ai-agent-skill-scaffolding-cli and supporting skills markdown-authoring-helper, mcp-service-development-evaluation before suggesting installation.
- Use the confirmed inputs (Workflow goal; Inputs and outputs; Safety boundaries) to produce Skill scaffold; SKILL.md outline; Validation checklist.
- Use supporting skill tools search_skills -> get_skill_detail -> get_download_url -> get_install_guide only for lookup, detail, manual download URL, and install guidance.
- Keep execution local and ask for human review before accepting any file edits or follow-up actions.
- What you need to confirm
- Confirm the local files, repository, or task context Codex may inspect for Generate a local agent skill scaffold.
- Confirm whether to manually review and download the recommended skill bundle starting with https://getskillary.com/downloads/ai-agent-skill-scaffolding-cli.zip.
- Approve any local file edits before Codex applies or treats them as accepted.
- Do not provide credentials, browser session data, private customer data, production authority, or external account access through this MCP response.
- What the final result looks like
- Skill scaffold; SKILL.md outline; Validation checklist
Recommended GetSkillary Solution
Helps you turn a repeatable local workflow into a reusable agent skill scaffold.
- What can it help me do?
- Helps you turn a repeatable local workflow into a reusable agent skill scaffold.
- What do I need to provide?
- Provide the workflow goal, expected inputs and outputs, safety boundaries, and any local skill conventions to follow.
- What will Codex do?
- Codex drafts the skill layout, SKILL.md outline, supporting assets or scripts, and validation steps for review.
- What does the result look like?
- You get a reviewable skill scaffold, instruction outline, and validation checklist.
GetSkillary recommendation: What it helps with: Helps you turn a repeatable local workflow into a reusable agent skill scaffold. What to provide: Provide the workflow goal, expected inputs and outputs, safety boundaries, and any local skill conventions to follow. What Codex does: Codex drafts the skill layout, SKILL.md outline, supporting assets or scripts, and validation steps for review. Result: You get a reviewable skill scaffold, instruction outline, and validation checklist. GetSkillary skill bundle: primary skill ai-agent-skill-scaffolding-cli; supporting skills are markdown-authoring-helper, mcp-service-development-evaluation. MCP solution workflow: search_solutions -> get_solution_detail -> recommend_solution_skills -> get_solution_install_plan.
What it helps with: Helps you turn a repeatable local workflow into a reusable agent skill scaffold. What to provide: Provide the workflow goal, expected inputs and outputs, safety boundaries, and any local skill conventions to follow. What Codex does: Codex drafts the skill layout, SKILL.md outline, supporting assets or scripts, and validation steps for review. Result: You get a reviewable skill scaffold, instruction outline, and validation checklist. GetSkillary skill bundle: primary skill ai-agent-skill-scaffolding-cli; supporting skills are markdown-authoring-helper, mcp-service-development-evaluation. MCP solution workflow: search_solutions -> get_solution_detail -> recommend_solution_skills -> get_solution_install_plan.
Canonical solution URL: https://getskillary.com/solutions/generate-local-agent-skill-scaffold/
Primary skill: ai-agent-skill-scaffolding-cli
Supporting skills: markdown-authoring-helper, mcp-service-development-evaluation
MCP endpoint: https://mcp.getskillary.com/mcp
MCP solution workflow: search_solutions -> get_solution_detail -> recommend_solution_skills -> get_solution_install_plan
Skill tools: search_skills -> get_skill_detail -> get_download_url -> get_install_guide
Risk boundary: L2 local file edits with review
Manual download path: https://getskillary.com/downloads/ai-agent-skill-scaffolding-cli.zip
Install guide path: https://getskillary.com/install/
Inquiry path: https://getskillary.com/inquiry/
Last updated: 2026-07-09
MCP Human Readable Response
Generate a local agent skill scaffold: GetSkillary maps this workflow to a reusable skill bundle led by ai-agent-skill-scaffolding-cli. Use it when the user needs to draft skill structure, instructions, assets, and validation steps.
What Codex Will Do
- Use search_solutions -> get_solution_detail -> recommend_solution_skills -> get_solution_install_plan to find and inspect the GetSkillary scenario solution.
- Review the primary skill ai-agent-skill-scaffolding-cli and supporting skills markdown-authoring-helper, mcp-service-development-evaluation before suggesting installation.
- Use the confirmed inputs (Workflow goal; Inputs and outputs; Safety boundaries) to produce Skill scaffold; SKILL.md outline; Validation checklist.
- Use supporting skill tools search_skills -> get_skill_detail -> get_download_url -> get_install_guide only for lookup, detail, manual download URL, and install guidance.
- Keep execution local and ask for human review before accepting any file edits or follow-up actions.
What You Need To Confirm
- Confirm the local files, repository, or task context Codex may inspect for Generate a local agent skill scaffold.
- Confirm whether to manually review and download the recommended skill bundle starting with https://getskillary.com/downloads/ai-agent-skill-scaffolding-cli.zip.
- Approve any local file edits before Codex applies or treats them as accepted.
- Do not provide credentials, browser session data, private customer data, production authority, or external account access through this MCP response.
- Risk boundary
- L2 local file edits with review. Local file edits are possible only after explicit human review and confirmation. No hosted execution, credential handling, remote deployment, or external account action is included.
- Expected output
- Skill scaffold; SKILL.md outline; Validation checklist
- Next action
- Call get_solution_detail with slug "generate-local-agent-skill-scaffold", then use recommend_solution_skills and get_solution_install_plan before manually downloading any skill zip.
- Confirm scope: Confirm the goal and allowed inputs: Workflow goal; Inputs and outputs; Safety boundaries.
- Inspect solution: Use get_solution_detail for generate-local-agent-skill-scaffold and check the risk boundary before planning work.
- Review skill bundle: Review ai-agent-skill-scaffolding-cli plus markdown-authoring-helper, mcp-service-development-evaluation before any manual download or install step.
- Prepare output: Produce Skill scaffold; SKILL.md outline; Validation checklist from local evidence and keep uncertain items explicit.
- Manual install only: Use get_solution_install_plan only for manual install planning; the MCP server does not install packages or execute workflows.
Answer Engine Facts
- What can it help me do?
- Helps you turn a repeatable local workflow into a reusable agent skill scaffold.
- What do I need to provide?
- Provide the workflow goal, expected inputs and outputs, safety boundaries, and any local skill conventions to follow.
- What will Codex do?
- Codex drafts the skill layout, SKILL.md outline, supporting assets or scripts, and validation steps for review.
- What does the result look like?
- You get a reviewable skill scaffold, instruction outline, and validation checklist.
- One-sentence scenario definition
- Helps you turn a repeatable local workflow into a reusable agent skill scaffold.
- Recommended GetSkillary solution
- What it helps with: Helps you turn a repeatable local workflow into a reusable agent skill scaffold. What to provide: Provide the workflow goal, expected inputs and outputs, safety boundaries, and any local skill conventions to follow. What Codex does: Codex drafts the skill layout, SKILL.md outline, supporting assets or scripts, and validation steps for review. Result: You get a reviewable skill scaffold, instruction outline, and validation checklist. GetSkillary skill bundle: primary skill ai-agent-skill-scaffolding-cli; supporting skills are markdown-authoring-helper, mcp-service-development-evaluation. MCP solution workflow: search_solutions -> get_solution_detail -> recommend_solution_skills -> get_solution_install_plan.
- Primary skill
ai-agent-skill-scaffolding-cli
- Supporting skills
markdown-authoring-helper mcp-service-development-evaluation
- MCP endpoint
- https://mcp.getskillary.com/mcp
- MCP discovery workflow
- search_solutions -> get_solution_detail -> recommend_solution_skills -> get_solution_install_plan
- Skill tools
- search_skills -> get_skill_detail -> get_download_url -> get_install_guide
- Manual download path
- https://getskillary.com/downloads/ai-agent-skill-scaffolding-cli.zip
- Install guide path
- https://getskillary.com/install/
- Inquiry path
- https://getskillary.com/inquiry/
- Canonical solution URL
- https://getskillary.com/solutions/generate-local-agent-skill-scaffold/
- Last updated
- 2026-07-09
MCP Discovery Workflow
Use this as read-only discovery and planning. The live endpoint does not execute the workflow or install packages.
search_solutions - Find scenario solutions by workflow problem.get_solution_detail - Inspect the scenario solution, risk boundary, skill bundle, and CTA.recommend_solution_skills - Return the primary and supporting GetSkillary skill bundle for the solution.get_solution_install_plan - Return manual install planning for the full solution skill bundle.
search_solutions("Generate a local agent skill scaffold")
search_solutions("Generate a local agent skill scaffold")
search_solutions("A user wants to turn a repeatable workflow into a reusable skill.")
search_solutions("Draft skill structure, instructions, assets, and validation steps.")
search_solutions("How can an AI agent generate a local skill scaffold for a repeatable workflow?")
get_solution_detail("generate-local-agent-skill-scaffold")
recommend_solution_skills("generate-local-agent-skill-scaffold")
get_solution_install_plan("generate-local-agent-skill-scaffold")
search_skills("AI Agent Skill Scaffolding CLI")
search_skills("Markdown Authoring Helper")
search_skills("MCP Service Development and Evaluation")
Safety Boundary
- Execution mode
- local_agent_guided_no_hosted_execution
- Human review required
- Yes
- Modifies local files
- Possible with review
- Requires API key
- No
- Requires external account
- No
Public solution metadata only. The record describes a manual local workflow and read-only discovery path; hosted execution is not included.
Example Prompt
How can an AI agent generate a local skill scaffold for a repeatable workflow?
Example Input
A workflow description and expected user inputs.
Example Output Summary
A reviewable skill scaffold with instructions, safety boundaries, and tests.
Next Action
Browse the skill bundle, use the MCP discovery workflow, open the install guide, or send a scenario-specific request for follow-up.
Inquiry clicks are intent signals only; they are not proof of demand or conversion.