Scope the physical and interface design of a laboratory before configuring it. Use when a user asks how to approach a lab buildout, how to break a cell into components, which mechanism or instrument to choose, how to tailor a reference design to their material system or hazards, whether a design is over-engineered, or…
Inspect the current OpenSDL repository and declared laboratory state. Use when a user asks for current status or needs a declared-state baseline before a concrete task; use start-here for setup planning, inventory changes, or new equipment.
Establish or resume an OpenSDL laboratory through a normal agent conversation. Use when a user says start here, set up or configure my lab, plan a new lab or cell, describe existing equipment, continue a lab build, or turn a laboratory idea into a simulator-first implementation plan.
Scan a repository that already has Claude Code configuration (hooks, skills, CLAUDE.md, settings, MCP servers) and package it into a valid MCS techpack.yaml for distribution via mcs. Use this skill whenever the user wants to create a tech pack from an existing repo, convert a Claude Code setup into a shareable MCS…
Add a single new stage to an existing Calkit pipeline. Use when the user invokes /calkit:add-pipeline-stage or asks to add a script, notebook, or command to the pipeline.
Calkit conventions and foundational context. Load whenever working in a Calkit project—defines calkit.yaml structure, environments, pipeline stages, CLI commands, and version control conventions.
Convert an existing repo with ad hoc scripts into a fully reproducible Calkit pipeline. Use when the user invokes /calkit:create-pipeline or asks to make a project reproducible end-to-end.
Produce deep AGILAB audit and code-review artifacts with evidence-backed findings, mandatory architecture-foundation readiness, blast-radius tracing, security/test posture, and prioritized recommendations. Use when the user says "review AGILAB", "audit AGILAB", "code review AGILAB", "deep review", "architecture…
ArXivist is a multi-agent orchestration skill that converts scientific papers (arXiv PDFs or URLs) into fully executable, reproducible Git repositories through a structured pipeline. Use this skill whenever a user mentions: converting a paper to code, reproducing a research paper, implementing an arXiv paper, turning…
Foundational data-discipline skill for econometrics work in any language. Enforces the discipline that every other data, analysis, and writing skill depends on: define the unit of analysis before anything else; treat IDs as a contract; merge with explicit cardinality and validation; never silently change the unit of…
CRUCIBLE: a Claude-only adversarial expert workshop that stress-tests a scientific paper and then, opt-in, rebuilds it. ACT I (TRIBUNAL): from the paper PDF (plus a few public cited works it fetches), a topic-adapted fleet of expert referee subagents (every contested claim argued from at least two COMPETING…
A set of rules for running reproducible bioinformatics analyses, which study biological data with software. It uses small self-contained scripts, recorded inputs and outputs, environment details, and version history so results can be repeated.
Compose one publication-grade multi-panel figure. Entry from a one-line claim + data files, OR from an existing figure via deriveoutlineprompt (you read the PNG). Runs a per-figure loop: outline (12-col grid, per-panel ask + labelbudget) → render each panel with paneltask (loading figure-style), one at a time or…
Publication-grade figure correctness and legibility rules. Load before drawing any plot and call applyfigurestyle() — sets a role-mapped font-size ladder, outward ticks, frameless legends, and 300-dpi output. The skill is a checklist, not a house look: data fidelity (claim-titles tested against every row, excluded…
Gated protein design campaign: each expert judgement is a checkpoint a human signs off before compute is spent. Branches: de novo binder design (epitope choice, generation, co-folding ensemble ranking, ranked order sheet); structure and complex prediction with calibrated confidence; protein engineering (stability…
Use when creating, updating, or reviewing a research figure (plot, chart, brain map, heatmap, schematic) — guides chart-type selection, typography, colorblind-safe palette, layout, and journal-specific export specs. Dispatches a figure-reviewer subagent after rendering. Complements claims-audit (which checks figure…
Use when running any experiment or analysis — hypothesis and analysis plan must be registered before seeing results, the scientific equivalent of test-driven development.
Use when writing a research manuscript — guides section-by-section writing with prerequisite gates, citation discipline, number traceability, and per-section subagent review. Activated after experiment results are reviewed and before claims-audit.