Herramientas de Laboratorio

Co Compliance Evidence Collector

Defines evidence requirements, collection cadences, and readiness tracking. Use when PLANNING evidence collection, defining evidence sets per control, setting collection schedules, or assessing evidence readiness for audit.

Co Compliance Learning Capture

Compliance learning capture and knowledge persistence. Records audit insights, control mapping patterns, and regulatory interpretation lessons. Use when FINISHING a compliance engagement, discovering a control mapping pitfall, or recording lessons for future compliance work.

Compliance Audit Response

Drafts audit-ready responses with traceable control evidence references.

Co Diligence Learning Capture

DD learning capture and knowledge persistence. Records deal insights, red flag patterns, and diligence methodology lessons from completed DD engagements. Use when FINISHING a DD engagement, discovering a risk assessment pitfall, or recording lessons for future due diligence work.

Co Educationalist Learning Capture

Education learning capture and pedagogy knowledge persistence. Records instructional insights, theory application lessons, and curriculum pitfalls. Use when FINISHING an education task, discovering a pedagogy limitation, or recording lessons for future instructional design sessions.

Co Growth Learning Capture

Growth learning capture and knowledge persistence skill. Records experiment insights, edge cases, and growth playbook updates from completed tasks. Use when FINISHING a growth task, discovering a growth pitfall, resolving an analysis error, or updating Gotchas for future sessions.

Co Growth Learning Synthesis

Learning synthesis skill. Experiment result interpretation with Scale/Iterate/Kill decision framework, effect size review, and next hypothesis generation. Use when INTERPRETING experiment results, deciding to scale or kill a test, reviewing effect sizes, or generating next-iteration hypotheses.

Co Scientist Clinical Reporting

Clinical reporting skill. Structured clinical study reports, CONSORT/STROBE compliance, patient demographics tables, efficacy/safety summaries, and regulatory submission formatting. Use when working with structured clinical study reports, consort/strobe compliance, patient demographics tables.

Co Scientist Experimental Design

Experimental design and protocol skill. DOE (Design of Experiments), power analysis, sample size calculation, randomization, control design, and protocol documentation. Use when DESIGNING experiments, calculating sample sizes, choosing factorial designs, planning randomization, or writing experimental protocols.

Co Scientist Audit Report

Research audit report skill. Systematic quality assessment of experimental designs, statistical analyses, reproducibility, and reporting standards compliance. Use when working with systematic quality assessment of experimental designs, statistical analyses, reproducibility.

Co Scientist Bayesian Statistics

Bayesian statistics skill. PyMC/Stan/ArviZ-based Bayesian regression, hierarchical models, MCMC sampling, Bayesian optimization, posterior predictive checks, and model comparison. Use when working with pymc/stan/arviz-based bayesian regression, hierarchical models, mcmc sampling.

Co Scientist Pharmacology Targets

Pharmacology targets skill. Target validation, druggability assessment, target prioritization scoring, and pharmacological target-disease mapping. Use when working with target validation, druggability assessment, target prioritization scoring.

Co Scientist Adaptive Experiments

Adaptive experiment design skill. Sequential experiment optimization, Bayesian optimization, multi-armed bandit, response-adaptive randomization, and interim analysis for efficient experimental workflows. Use when working with sequential experiment optimization, bayesian optimization, multi-armed bandit.

Co Scientist Clinical Standards

Clinical standards skill. CDISC SDTM/ADaM data standards, HL7 FHIR resource mapping, LOINC/SNOMED coding, and regulatory data submission format compliance. Use when working with cdisc sdtm/adam data standards, hl7 fhir resource mapping, loinc/snomed coding.

Qiita Review

レビュアー・校正AI — 品質管理・テクニカルチェック

NakajimaShunsuke-lab0

Detect Common Wetlab Errors

Detects common wet-lab procedural and safety errors from XR or fixed-camera lab video. Identifies pipette volume deviations, forgotten reagent additions, uncapped tubes, contamination risks, sample mix-ups, and other observable hazards. Outputs structured JSON with error type, timestamp, severity, and corrective action suggestions for real-time alerts or post-hoc audit.

Nam48020

Extract Experiment Data from Video

General-purpose experimental data extractor from lab video streams. Ingests footage from XR headsets or fixed cameras and extracts typed, timestamped measurements — liquid volume levels, color/turbidity shifts, cell and colony counts, pipette readouts, instrument display values, gel band intensities — emitting a time-series JSON or CSV table ready for downstream analysis, charting, or ELN attachment.

Nam48020

Research Mode

Use when the user wants to toggle research mode on/off, enforce anti-hallucination constraints, require citations for claims, or work in contexts where accuracy and source grounding are critical (academic research, fact-checking, documentation review, technical specifications).

Naoray0

Model Validator

Validate neuronal dynamics implementations against analytic solutions, limiting cases, nullcline predictions, or known statistical identities, and add focused tests in the mirrored tests directory.

Nervoload0

Equation Map Maintainer

Keep the repository coverage map synchronized so every textbook equation or chapter target has an unambiguous notebook path, shared module location, analysis helper location, and test target.

Nervoload0

Verification Before Completion

Gather evidence that work actually works before declaring done. Run tests, check output, collect pass/fail tallies, report faithfully.

neviah0

Testing

Best practices for writing and maintaining tests

newkub0

Ksb D05 K0014

Quality Management Systems: ICH Q9 and Q10 adaptation for clinical trials, CAPA implementation, continuous improvement...

Ksb D05 K0034

Laboratory Integration: Automated abnormal result flagging, trend analysis, predictive modeling...

Ksb D01 K0019

Validation Requirements: Ensuring AI tools meet regulatory standards and maintain human oversight...

Ksb D06 K0041

Automated Manufacturing Surveillance: AI monitoring of production processes for quality deviation detection...

Ksb D09 K0004

Hybrid Study Designs: Case-cohort methodologies, two-stage sampling designs, counter-matching techniques, self-controlled ...

Ksb D08 K0040

Industry Collaboration: Signal sharing protocols, best practice exchange, methodology harmonization, collaborative research ...

Ksb D08 K0017

Electronic Health Record Mining: Claims database analysis, EMR surveillance systems, prescription sequence symmetry analysis, laborat...