Operate Claw Earn tasks on AI Agent Store through API/UI integration instead of direct contract-only flow. Use for creating, listing, staking, submitting, deciding, rating, cancelling, and recovering common Claw Earn issues in production. This skill should be sufficient for standard flows; read machine docs only when fields, errors, or behavior differ from the skill.
Build general aicade application prompts by taking the user's base prompt plus the platform additions from the bundled 3.1 workflow reference, then assembling a final integrated prompt in the style of 3.2.
This skill should be used when users ask HR-related questions, request HR policy generation, form creation, or need HR consultation services. It provides direct WebSocket API integration with the HRrule AI platform using tag_id and rt parameters for generating HR policies, forms, flowcharts, and answering HR-related questions about labor laws, recruitment, compensation, employee rights, and other HR topics. The skill includes professional Q&A capability (tag_id=1) for answering general HR questions about labor laws, regulations, and employee rights.
Build autonomous multi-agent pipelines with Mastra (agents only) and Trigger.dev (all workflows and tasks). Use when creating AI agents, designing multi-stage pipelines, defining permissioned tools, structuring agent handoffs, storing agentic outputs to a database, or building durable task chains with retries and fan-out.
Use when determining author order on research manuscripts, assigning CRediT contributor roles for transparency, documenting individual contributions to collaborative projects, or resolving authorship disputes in multi-institutional research. Generates fair and transparent authorship assignments following ICMJE guidelines and CRediT taxonomy. Helps research teams document contributions, resolve disputes, and ensure equitable credit distribution in academic publications.
Use when creating biotech pitch decks, translating scientific data for investors, preparing fundraising presentations, or developing investor Q&A. Transforms complex scientific and clinical data into compelling investor narratives for biotech fundraising.
Calculate complex buffer recipes with precise measurements for molecular biology and biochemistry applications. Provides accurate mass/volume calculations, pH considerations, and step-by-step preparation instructions.
Convert between IUPAC names, SMILES strings, and molecular formulas for chemical compounds. Supports structure validation, identifier interconversion, and cheminformatics data preparation for drug discovery and chemical research workflows.
Use when formatting references for journal submission, converting between citation styles (APA, MLA, Vancouver, Chicago), generating bibliographies for manuscripts, or ensuring consistent reference formatting. Automatically formats citations and bibliographies in 1000+ academic styles. Ensures reference accuracy, completeness, and compliance with journal requirements. Supports batch conversion and integration with reference managers.
Use when cleaning clinical trial data, preparing data for FDA/EMA submission, standardizing SDTM datasets, handling missing values in clinical studies, detecting outliers in lab results, or converting raw CRF data to CDISC format. Cleans and standardizes clinical trial data for regulatory compliance with audit trails.
Detect copy number variations from whole genome sequencing data and generate publication-quality genome-wide CNV plots. Supports CNV calling, segmentation, and visualization for cancer genomics and rare disease analysis.
IoT monitoring simulation to predict CO2 tank depletion and prevent weekend gas outages in cell culture facilities. Monitors cylinder pressure, calculates consumption rates, and provides early warnings for timely replacement.
Use when refactoring research code for publication, adding documentation to existing analysis scripts, creating reproducible computational workflows, or preparing code for sharing with collaborators. Transforms research code into publication-ready, reproducible workflows. Adds documentation, implements error handling, creates environment specifications, and ensures computational reproducibility for scientific publications.
Process CRISPR screening data to identify essential genes and hit candidates. Performs quality control, statistical analysis (RRA), and hit calling for pooled CRISPR screens including viability screens and drug resistance/sensitivity studies.
Use when identifying collaboration opportunities across fields, finding experts in complementary disciplines, translating methodologies between scientific domains, or building interdisciplinary research teams. Identifies synergies between scientific disciplines, matches researchers with complementary expertise, and facilitates cross-domain collaborations. Supports interdisciplinary grant applications and innovative research team formation.
Use when drafting patient discharge summaries, creating personalized discharge instructions, simulating post-discharge outcomes, reducing hospital readmissions, or optimizing care transitions. Generates AI-enhanced discharge documentation with digital twin predictions for improved patient safety.
Structures and writes discussion sections for academic papers and research reports. Use when writing a discussion section, interpreting research results, connecting findings to existing literature, addressing study limitations, synthesizing conclusions, or drafting any part of an academic discussion. Helps researchers organize arguments, contextualize data, and produce clear, publication-ready discussion prose.
Generates FAQ lists from complex medical policies or protocols. Trigger when user provides medical documents, policies, or protocols and requests FAQ generation, patient education materials, or simplified explanations.