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Found 372 Skills
Systematic debugging with persistent state across context resets
Meta-skill for pplx-sdk development. Orchestrates code review, testing, scaffolding, SSE streaming, and Python best practices into a unified workflow. Use for any development task on this project.
Fetch the latest CI pipeline execution for the current branch. Returns the most recent CIPE which may be completed, in progress, or null. Use when you need to review CI status, check failures, or inspect CI state.
[Implementation] ⚡⚡⚡ Implement a feature [step by step]
Create, repair, validate, preview, and package Codex-compatible animated pet spritesheets from character art, screenshots, generated images, or visual references. Use when a user wants to hatch a Codex pet, create a custom animated pet, or build a built-in pet asset with an 8x9 atlas, transparent unused cells, row-by-row animation prompts, QA contact sheets, preview videos, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.
Use when you have specs or requirements for a multi-step task to break it down into detailed tasks, before executing it
Convert a course outline into a fully fleshed out intelligent textbook. Use when: (1) User provides a URL containing a course outline/syllabus (2) User asks to "generate a course" or "create a textbook" from an outline (3) User wants to expand a course description into full learning materials Generates: learning graph, chapter structure, MicroSim specifications, quizzes, glossary, and FAQ following the intelligent textbooks framework and evidence-based learning design principles.
Use when validating implementation against spec artifacts before archive — not for design, planning, or implementation
Orchestrate level design team: level-designer + narrative-director + world-builder + art-director + systems-designer + qa-tester for complete area/level creation.
Document and communicate plans clearly. Structures implementation plans with tasks, decisions, and success criteria.
Use when performing ralph wiggum style long-running development loops with pacing control.
Use when extracting imperatives from agent instruction files, analyzing rule coverage, or preparing input for /policy-algebra and /distill.