Research & Search

charlieviettq Bundle

Apply Bhaskar's critical realism to analyze phenomena through three ontological domains (real, actual, empirical), identify generative causal mechanisms via retroduction, and examine structure-agency interplay. Use this skill when the user needs to go beyond surface correlations to underlying causes, design research that distinguishes mechanisms from events from experiences, or when they ask 'what causes this beyond the observed pattern', 'what structures enable or constrain this behavior', or 'how do I move from correlation to causal explanation'.

charlieviettq Bundle

Conduct statistical hypothesis testing including null/alternative hypothesis formulation, p-values, Type I/II errors, and test statistic selection. Use this skill when the user needs to determine whether a result is statistically significant, choose the right statistical test, interpret p-values correctly, or evaluate research findings — even if they say 'is this result significant', 'which statistical test should I use', or 'what does this p-value mean'.

charlieviettq Skill

Draft a knowledge base article from a resolved issue or common question. Use when a ticket resolution is worth documenting for self-service, the same question keeps coming up, a workaround needs to be published, or a known issue should be communicated to customers.

charlieviettq Bundle

Conduct Van Westendorp Price Sensitivity Meter analysis to identify acceptable price ranges. Use this skill when the user needs to determine price boundaries for a new product, find the optimal and indifference price points, or survey-based pricing research — even if they say 'what should we charge', 'price sensitivity survey', or 'acceptable price range'.

charlieviettq Skill

Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base.

charlieviettq Skill

Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.

charlieviettq Bundle

Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.

charlieviettq Skill

Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been reported before, checking what was previously told to a specific account, or gathering background before drafting a response.

charlieviettq Skill

This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".

williamcorrea23 Skill

Ingests an expert's answers to an L2 questionnaire in the abap_wiki knowledge base: transforms the answers (filled in the interviews/ file or given verbally) into a canonical citable expert-answer (slices/<id>/inputs/expert-answers/), moves gaps to 'answered' and closes the questions. Use this skill when the owner/expert has answered the functional questions generated by research-l2.

clowlove Bundle

ML research frameworks for building and optimizing AI systems with declarative programming.

clowlove Bundle

Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.

clowlove Bundle

Keyword Research

dingxingdi Bundle

Use this skill when the user wants a summary that captures the core facts cleanly instead of giving a vague gist. Trigger it for requests like “summarize the article but keep who/when/what happened/what resulted,” “don’t miss the key outcome,” or “compress the news without dropping important details.” It is especially useful when summaries often sound smooth but leave out the most important factual element.

dingxingdi Bundle

Use this skill when the user provides a request involving a massive amount of data, logs, or dense, high-resolution artifacts (like a giant technical diagram) that are far too large or complex for a single context window. It is triggered by layman requests like "summarize all these hundreds of logs," "break this complex map down into bits," "make a summary of summaries," or "digitize this entire layout piece by piece." Trigger it for phrases such as "it's too much data to read," "get a bird's-eye view," "scan all the elements across the whole project," or "chunk everything up and tell me the main points."

dingxingdi Bundle

Use this skill when you need to write or verify a document where every claim MUST be anchored to a specific, ID-verified source and checked for boundary-condition accuracy. Trigger it for requests like “verify these technical findings,” “ensure no fake citations are included,” “check the boundary conditions of this device design,” or “map every claim to a retrieved span.” It is critical for enforcing ‘closed-world citation’ (abstaining rather than guessing) and auditing the formal alignment between retrieved evidence and final claims.

dingxingdi Bundle

Use this when the user wants to solve a large, multi-faceted project by breaking a distal goal into a sequence of abstract middle-states, sub-goals, or typed nodes like research versus writing. Trigger it for requests like 'break this big project into different types of steps', 'recursively decompose this goal until you have simple steps', 'give me a high-level strategy and then the moves to do it', or 'organize a plan where composition steps wait for reasoning steps.'

biotender-max Skill

Clinical Research

biotender-max Skill

Literature Search & Review

biotender-max Bundle

Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall. Use when searching for papers, citations, DOI/PMID lookups, abstracts, full text, open access, preprints, citation graphs, author search, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X" or "look up this DOI".

biotender-max Bundle

Local Research Dashboard Skill

biotender-max Skill

Search PubMed for scientific literature. Use when the user asks to find papers, search literature, look up research, find publications, or asks about recent studies. Triggers on "pubmed", "papers", "literature", "publications", "research on", "studies about".

biotender-max Skill

Patent Drafting — Intellectual Property Protection for Research

biotender-max Bundle

Programmatic PubMed access via NCBI E-utilities REST API. Covers Boolean/MeSH queries, field-tagged search, endpoints (ESearch, EFetch, ESummary, EPost, ELink), history server for batches, citation matching, systematic review strategies. Use for biomedical literature search or automated pipelines.

biotender-max Bundle

Search PubMed for a gene name or disease term and generate a structured research briefing of the top recent English-language papers.

biotender-max Bundle

Comprehensive scientific literature search across PubMed, arXiv, bioRxiv, medRxiv. Natural language queries powered by Valyu semantic search.

biotender-max Skill

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biotender-max Bundle

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biotender-max Skill

Science Communication — Making Research Accessible

biotender-max Skill

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biotender-max Bundle

Find, verify, and synthesize scientific literature — from "what's the seminal paper for X" through full multi-source reviews. Covers grounding claims in real retrieved sources, avoiding fabricated citations, handling retractions, and calibrating confidence to evidence strength.

biotender-max Skill

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biotender-max Skill

Academic Literature Search — 学术文献检索与引用管理

dingxingdi Bundle

Use this skill when the user wants 'summarize the whole video', 'tell me what happened in the second half', 'explain the development of the situation', 'give the main developments', or when parsing the overarching narrative of fast-paced commercials and trailers. Trigger it when the desired answer must integrate many moments across a long duration into one coherent account, connect the dots between separate events located far apart, or trace the overarching thematic/plot arc of a complex or rapidly edited video.

biotender-max Skill

Systematic strategies for searching scientific literature across PubMed, arXiv, Google Scholar, and AI-assisted tools. Covers PICO framework for clinical questions, three-tiered search (database-specific, AI-assisted, content extraction), PubMed field tags and MeSH, boolean query construction, and full-text extraction. Use when planning a literature search or choosing a search tier.

biotender-max Bundle

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