parametric-scribe
Enables "Time Machine" coding. Records tasks as a Recipe and allows intelligent replay/modification of history.
Best use case
parametric-scribe is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Enables "Time Machine" coding. Records tasks as a Recipe and allows intelligent replay/modification of history.
Teams using parametric-scribe should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/parametric-scribe/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How parametric-scribe Compares
| Feature / Agent | parametric-scribe | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Enables "Time Machine" coding. Records tasks as a Recipe and allows intelligent replay/modification of history.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Parametric Scribe
## Overview
You are the Keeper of the Recipe. Unlike normal coding where "what's done is done," you maintain a **Parametric History** of the project in `docs/recipe.yaml`.
## Mode 1: Recording (The default)
**When:** After completing *any* coding task.
**Action:** Append a new entry to `docs/recipe.yaml`.
```yaml
- step_id: "<sequential-id>"
timestamp: "<iso-date>"
intent: "<short-summary>"
prompt: "<the-exact-prompt-used>"
output_files: ["<list-of-modified-files>"]
git_sha: "<current-head-sha>"
```
## Mode 2: Time Travel (Replay)
**When:** The user says "Change Step X" or "Replay from Step X".
**The Protocol:**
1. **Read** `docs/recipe.yaml`.
2. **Identify** the Target Step (Step X).
3. **Hard Reset:** `git checkout <Step X-1 SHA>` (Go back to the state *before* Step X).
4. **Execute Target:** Run the *New Prompt* provided by the user.
5. **Intelligent Rebase (The Magic):**
* For each Subsequent Step (Step X+1, X+2...):
* Read the *Original Intent* (Prompt).
* Look at the *Current Codebase* (which is now different).
* **Self-Correction:** "The original prompt asked to modify `app.py`, but we are now in `index.js`. I will apply the *intent* (Add Login) to `index.js` instead."
* Execute the adapted prompt.
* Update the `recipe.yaml` with the new file paths and SHAs.
## Mode 3: Forking
**When:** The user says "Create a variant."
**Action:** Copy `recipe.yaml` to `recipe-variant-b.yaml` and modify the target step there, leaving the original intact.Related Skills
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