Analyze an Anthropic-style skill bundle (SKILL.md + references) and produce a compilation plan that separates deterministic work into extracted Python modules, LLM-as-judge work into typed DSPy/BAML signatures, agentic work into bounded agent loops, and human-in-the-loop gates into durable suspend points. Emit the whole pipeline as a runtime-agnostic intermediate representation (pipeline.yaml) plus runnable code for a target workflow engine (Temporal, Inngest, Restate, or plain async) via pluggable adapters. Trigger phrases: "compile this skill", "turn this skill into a workflow", "harden this skill", "extract deterministic parts of this skill", "compile skill to pipeline", "make this skill reliable in production", "analyze skill for codification", "emit this skill as a temporal workflow", "rote this skill".
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryEngineeringStars0
About this skill
Analyze an Anthropic-style skill bundle (SKILL.md + references) and produce a compilation plan that separates deterministic work into extracted Python modules, LLM-as-judge work into typed DSPy/BAML signatures, agentic work into bounded agent loops, and human-in-the-loop gates into durable suspend points. Emit the whole pipeline as a runtime-agnostic intermediate representation (pipeline.yaml) plus runnable code for a target workflow engine (Temporal, Inngest, Restate, or plain async) via pluggable adapters. Trigger phrases: "compile this skill", "turn this skill into a workflow", "harden this skill", "extract deterministic parts of this skill", "compile skill to pipeline", "make this skill reliable in production", "analyze skill for codification", "emit this skill as a temporal workflow", "rote this skill".
Quick start
Copy the install prompt. Use the green button above this README.
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Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Analyze an Anthropic-style skill bundle (SKILL.md + references) and produce a compilation plan that separates deterministic work into extracted Python modules, LLM-as-judge work into typed DSPy/BAML signatures, agentic work into bounded agent loops, and human-in-the-loop gates into durable suspend points. Emit the whole pipeline as a runtime-agnostic intermediate representation (pipeline.yaml) plus runnable code for a target workflow engine (Temporal, Inngest, Restate, or plain async) via pluggable adapters. Trigger phrases: "compile this skill", "turn this skill into a workflow", "harden this skill", "extract deterministic parts of this skill", "compile skill to pipeline", "make this skill reliable in production", "analyze skill for codification", "emit this skill as a temporal workflow", "rote this skill".
About this listing
Category
Engineering
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.