ce-pipeline-builder
Build CE-first end-to-end pipelines using WrapCalibratedExplainer with fit, calibrate, and explain or predict sequencing.
npx skills add majiayu000/claude-skill-registry --skill ce-pipeline-builder --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CE Pipeline Builder You are implementing a CE-first pipeline. Load `references/ce-first-policy.md` for the full policy text. Non-negotiable invariants are repeated inline below for quick reference. ## Mandatory CE-First Checklist (enforce in order) 1. **Library check** — if `calibrated_explanations` is not importable, fail fast: ```python pip install calibrated-explanations ``` 2. **Wrapper** — always use `WrapCalibratedExplainer`. Never invent a new wrapper class; never use `CalibratedExplainer` directly in user-facing code. 3. **Fit** — `explainer.fit(x_proper, y_proper)`. Assert `explainer.fitted is True` before proceeding. 4. **Calibrate** — `explainer.calibrate(x_cal, y_cal)`. Assert `explainer.calibrated is True` before proceeding. 5. **Explain (standard)** — `explainer.explain_factual(X)` or `explainer.explore_alternatives(X)`. 6. **Explain (guarded / in-distribution)** — when higher security or in-distribution filtering is needed, use `explainer.explain_guarded_factual(X)` or `explainer.explore_guarded_alternatives(X)` instead of the standard paths. Also use when rule conditions of the form `x < feature <= y` are needed, since the guarded APIs support this natively. 7. **
- Mandatory CE-First Checklist (enforce in order)
- Minimal Working Skeleton
- Binary classification
- Multiclass classification
- Regression (percentile intervals)
- Regression (thresholded / probabilistic)
- Using ceagentutils helpers
- Decision: explainfactual vs explainguardedfactual
- Data Split Rules
- Out of Scope
- Evaluation Checklist (self-verify before returning)
What does the ce-pipeline-builder skill do?
Build CE-first end-to-end pipelines using WrapCalibratedExplainer with fit, calibrate, and explain or predict sequencing.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ce-pipeline-builder --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.