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Scaffold for illustrated picture books — renders a full-page PDF storybook from content/story.yaml using ReportLab and procedural graphics, with per-page scripts you can add, remove, or reorder, plus PNG plates, contact sheet, and render manifest. Demo: 14 pages on Tessa the tetrahedron and Ciro the cube.
Scaffold for controlled disclosure of sensitive reports (FOIA, intelligence, legal) — applies classification ceilings, source protection, and reviewer gates, then emits redaction_audit.json and release_ledger.json with SHA-256 hashes while sanitized text stays in memory. Validators flag residual markers and mosaic risk.
Template that generates whole runnable child projects — src, tests, scripts, docs — from a combinatoric grammar over 5 domains and 8 kernel primitives, with SHA-256 byte-stable output, recompute verification of tree hashes, and meta-tests against green-by-construction test theater.
Governance-ready, AI-aware healthcare research object template built with Quarto. Includes lifecycle structure, governance artefacts, and synthetic demonstration project.
Evaluation harness scaffold for self-improvement agents (SIA) — runs a Meta to Target to Feedback loop across generations, scores runs on the mini_classify task with split public/private data to catch overfitting, and replays recorded_generations fixtures for deterministic reruns. Python, uv, pytest; swap your agent into src/loop.py.
Research-infrastructure scaffold wiring three resource pools (fonds, rules, tools) into one self-validating Python pipeline: typed manifests with schema-versioned receipts, fail-closed jsonschema validation, soft vs strong rule checks, tool entrypoint discovery, and a generated manuscript with matplotlib figures.
Template for a bounded, deterministic AutoResearch loop over a local ML task: numpy-only models on an MNIST subset, evidence-linked claims, checksummed research-object manifests, fail-closed schema validation, and human-review gates instead of autonomous approval.
A starter template for empirical research projects done with AI coding agents: shared memory in the repo, traceable results, built-in checks. Pre-release.
Pitch decks as reproducible build artifacts: one YAML content source renders six deliverables — short/medium/long decks in PDF (ReportLab) and PPTX (python-pptx) — with byte-identical rebuilds, citation enforcement, a cliche linter, live token checks against repo test counts and DOIs, and per-slide QR deep links.
Exploratory data analysis template demonstrating the notebook-to-tested-source workflow: explore a committed CSV fixture in Jupyter, then migrate logic into a pandas library (clean, normalize, group means, correlation ranking, figures) behind pytest with 90% coverage and a logic-free walkthrough notebook.
Reference exemplar of the docxology template family — a self-describing repo whose manuscript regenerates from its own codebase: introspection walks the YAML pipeline DAG and module inventory, a metrics engine fills tokens, and scripts draw architecture diagrams. Ships the 20-platform publishing workflow (Zenodo, PyPI, IPFS, arXiv).