ljxpython/ai-agent-platform

ljxpython/ai-agent-platform

Skill Claude CodeCodex

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

Route a change in ai-agent-platform through its repository Harness by resolving locus, affected chain, loaded standards, B1/B2/B3 band, verification plan, and whether to use OpenSpec. Use only when the user explicitly invokes $route-project-change or explicitly asks to run this project-change router; do not…

ljxpython/ai-agent-platform

Skill Claude CodeCodex

Structured web research workflow with planning, delegated subtopic investigation, and file-based synthesis.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

A workflow for putting reviewed testing materials into a small, formal delivery format.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

A quality check for completed test cases before they are delivered or stored.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

A workflow for analysing requirements from text, PDFs, images, or other business materials.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

A tool for turning a test strategy into formal, structured test cases that can be run.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

A procedure for saving test cases so they can be used again later. It also defines when the procedure starts, what it needs first, and how it should run.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

A test-data generator for creating datasets from field constraints, business rules, and testing goals. It includes normal, boundary, and invalid values in several data formats.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

A test-planning procedure that turns requirements into a short test strategy and ranks the important checks by priority.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

Use this skill for engineering tasks that require planning with writetodos, controlled file edits, and final verification.

ljxpython/ai-agent-platform

Skill Claude CodeCodex

Use this skill when external references or broader codebase discovery is required; delegate to a research subagent and synthesize findings.