Calcifier — Development skill for Claude Code

calcifier

Calcifier turns Claude/Codex skills into executable Python workflows. Give it a `SKILL.md`; it produces a recipe that you can read, review, run, and debug. Python handles repeatable operations. Agents handle reasoning.

Why use it?

A skill is a set of instructions that an agent interprets each time it runs. That works well for exploration, but a recurring task often has a stable procedure: gather files, run a script, ask for a judgment, then write a report. Repeating that planning costs model calls and makes the procedure harder to inspect.

Calcifier makes the procedure explicit. For example, a review skill can become Python that selects files, calls an agent to assess them, validates the returned findings, and writes the report. You can change the file selection or report format without asking a model to invent the whole workflow again.

Use it for skills you run repeatedly, such as code reviews, data triage, and report generation, when you want:

• A workflow you own: ordinary Python functions and control flow that humans can maintain.
• Less repeated model work: file operations, scripts, transformations, and rendering execute directly in Python.
• Checked answers: agent responses are parsed into typed values with explicit validation and a bounded retry.
• Visible execution: budgets, permissions, artifacts, and traces make it easier to see what ran and where it failed.

Agent answers remain nondeterministic. Compilation checks catch mechanical errors; whether a recipe follows the skill and produces good answers needs testing on real tasks. Recipes execute Python on your host, so review generated code before granting trust.

Try it

Install from PyPI. Requires Python 3.13+, [uv](https://docs.astral.sh/uv/), and an authenticated Claude or Codex CLI (or a custom agent adapter).

uv tool install calcifier
calcifier --version

Follow the [quickstart](docs/usage.md#quickstart) to configure agent roles, compile a s