Product & Planning

oimiragieo Skill

Expert guidance for integrating and building applications with shadcn/ui components, including component discovery, installation, customization, and best practices.

construct-ai-primary Skill

Community engagement coordination

construct-ai-primary Skill

Third-party coordination

construct-ai-primary Skill

Manage relationships with third parties, conduct engagement, address concerns, maintain records

construct-ai-primary Skill

Manage stakeholder communications, coordinate community engagement, handle public inquiries

duc01226 Skill

[Content] Use when you need to brainstorm as a PO/BA — structured ideation for problem-solving, new product creation, or feature enhancement.

duc01226 Skill

[Project Management] Use when you need to prioritize backlog items using RICE, MoSCoW, or Value-Effort frameworks.

duc01226 Skill

[Investigation] Use when about to author a new Feature Spec from an idea — investigate all existing Feature Specs AND related code logic first to surface related/overlapping/affected specs, missing features, missing test cases/user stories, system unknowns, and the invariant landscape, before any spec is drafted.

duc01226 Skill

[Project Management] Use when you need to capture ideas, manage product backlogs, apply prioritization frameworks (RICE, MoSCoW), and facilitate stakeholder communication.

mims-harvard Bundle

Comprehensive drug-target intelligence — tissue expression (GTEx, HPA), pathways, protein interactions (STRING), variant landscape (ClinVar, gnomAD), druggability (DGIdb, ChEMBL approved drugs). 9 parallel research paths with citations. Use for full target profile reports, target characterization for drug discovery, and 'tell me about target X' queries.

mims-harvard Skill

Aging biology, cellular senescence, and longevity research. Covers senescence markers (p16/CDKN2A, SASP, SA-beta-gal), aging hallmarks, senolytic drug discovery (dasatinib+quercetin, fisetin, navitoclax), epigenetic clocks, telomere biology, and longevity GWAS. Use for senescence-pathway analysis, age-related disease genetics, senolytic-target discovery, and centenarian-genetics queries. Distinguishes correlative vs causal evidence (knockout, intervention).

mims-harvard Bundle

Discover novel small-molecule binders for protein targets using structure-based and ligand-based screening. Covers druggability assessment, known-ligand mining (ChEMBL, BindingDB), similarity expansion, ADMET filtering, and synthesis feasibility. Use for hit identification, virtual screening, target-to-compounds workflows, and lead-finding before commit-to-medchem.

mims-harvard Skill

Find and evaluate research datasets for any scientific question. Maps research questions to required study designs (longitudinal vs cross-sectional, observational vs experimental, single-cohort vs multi-cohort). Use when the user asks 'find data about X', 'where can I get data on Y', or needs a specific cohort/survey/repository. Covers GEO, ArrayExpress, dbGaP, NHANES, UK Biobank, ClinicalTrials.gov, GWAS Catalog, and 30+ scientific repositories.

mims-harvard Skill

KEGG-based disease-drug-variant network research. Connects diseases to causal genes, drugs to molecular targets, and variants to pathways using KEGG's editorially curated databases (KEGG Disease, Drug, Network, Variant, Pathway). Use for drug repurposing via shared pathways, mechanistic disease-gene-drug networks, and pathway-based target discovery. Distinguishes direct (binding) vs indirect (pathway co-membership) drug-target relationships.

mims-harvard Bundle

Biological sequence analysis — gene/protein sequence retrieval (NCBI, Ensembl, UniProt), nucleotide/protein search, ortholog discovery, and FASTQ QC + alignment workflows (Trimmomatic, BWA, samtools, coverage depth). Use for sequence retrieval, sequence comparison, FASTQ QC analysis, and read alignment pre-processing.

mims-harvard Bundle

Multi-omics integration — orchestrate per-layer analysis (transcriptomics, proteomics, epigenomics, genomics, metabolomics) then perform cross-omics correlation, multi-omics clustering, and pathway-level integration. Use for integrative systems-biology analysis, multi-modal disease characterization, and cross-omics biomarker discovery.

duc01226 Skill

[Workflow] Use when activating the Idea to PBI workflow for turning an idea — or a raw product vision/problem — into prioritized PBIs and stories (single-PBI deep mode, or multi-opportunity discovery mode).

duc01226 Skill

[Workflow] Use when activating the Spec to PBI Backlog workflow to convert canonical tech-free Feature Specs into complete, prioritized, dependency-aware PBIs and stories.

duc01226 Skill

[Workflow] Use when activating the Idea-to-Spec workflow — turn a raw idea/vision/problem into ONE canonical (provisional) Feature Spec. STOPS at the reviewed spec; chain workflow-spec-to-pbi for a backlog. For code→spec use workflow-code-to-spec.

mims-harvard Bundle

Transform GWAS signals into drug targets and repurposing opportunities. Connects GWAS-significant loci to causal genes via fine-mapping/eQTL, then to druggable proteins via DGIdb/OpenTargets, then to existing drugs via ChEMBL. Use for GWAS-to-target hypothesis generation, druggable-fraction analysis of disease loci, and human-genetics-validated drug-repurposing prioritization.

mims-harvard Skill

Microbiome research using MGnify, GTDB, ENA, OLS (ENVO biomes), and EuropePMC. Covers study discovery, taxonomic profiling, host-microbe interaction analysis, and biome-by-condition queries. Use for microbiome study selection, organism-environment associations, and clinical-microbiome literature review. Distinct from analytical workflow (use tooluniverse-metagenomics-analysis for that).

mims-harvard Skill

TCGA/GDC cancer genomics analysis — cohort construction, clinical metadata retrieval, somatic mutation frequencies, survival analysis, and multi-omics integration. Use for TCGA-BRCA-style cohort studies, mutation prevalence by cancer type, survival-by-mutation analysis, and pan-cancer driver discovery. Always cancer-type-specific (don't use pan-cancer counts without cohort context).

mims-harvard Skill

Small molecule identification, characterization, and procurement — PubChem, ChEMBL, BindingDB, ADMET-AI, SwissADME, eMolecules, Enamine. Covers compound name to structure to activity to ADMET properties to commercial sourcing. Use for chemical biology, lead identification, probe selection, and the full small-molecule discovery pipeline.

mims-harvard Bundle

Compound-target-disease network construction and analysis for drug repurposing, polypharmacology discovery, and multi-target drug design. Uses STRING, BioGRID, ChEMBL, DGIdb, OMIM, OpenTargets. Use for off-target effect prediction, network-based drug repurposing, and identifying molecules with desired multi-target profile.

mims-harvard Skill

Histone-modification ChIP-seq, ATAC-seq accessibility, chromatin state, and TF binding analysis from ENCODE, Roadmap Epigenomics, ChIP-Atlas. Use for chromatin-state-by-tissue queries, TF-binding-by-region, regulatory landscape mapping, and ENCODE-cCRE annotations. For DNA methylation use tooluniverse-epigenomics; for RNA-seq use tooluniverse-rnaseq-deseq2.

mims-harvard Skill

Rare disease genomics — disease identification (Orphanet), causative gene discovery, gene-disease validity (GenCC), variant interpretation (ClinVar), and translational research (ClinicalTrials.gov, drug repurposing for orphans). Use for rare-disease-gene curation, novel-gene-discovery analysis, and rare-disease drug-development support.

mims-harvard Bundle

Analyze CRISPR-Cas9 genetic screens — MAGeCK gene-level scores, sgRNA count QC, replicate correlation, hit prioritization, and pathway GSEA on screen output. Use for genome-wide essentiality screens, synthetic-lethality discovery, dropout vs positive-selection screen analysis, target identification, and resistance-screen interpretation. Includes screen-QC and statistical thresholds.

mims-harvard Skill

GPCR receptor pharmacology — agonist/antagonist/inverse-agonist/biased-agonist classification, GPCRdb structural data, receptor-ligand binding analysis, antibody-target interface (SAbDab). Use for GPCR drug discovery, biased-agonism analysis, receptor subtype selectivity questions, and orthosteric vs allosteric pocket characterization.

mims-harvard Skill

Dereplicate a putative natural product and assign its chemical taxonomy. Use to answer "is [compound] a known natural product", "what microbe/organism produces [compound]", "what chemical class is [compound]", "dereplicate this metabolite (by formula/exact mass/InChIKey/SMILES)", or "classify this molecule into ChemOnt". Searches NPAtlas for known microbial natural products (producing organism + literature reference), assigns the ChemOnt kingdom→superclass→class→subclass hierarchy via ClassyFire, resolves systematic IUPAC names to structure via OPSIN, and cross-references identity in PubChem. NOT for general drug/compound identity or ADMET (use tooluniverse-chemical-compound-retrieval / tooluniverse-small-molecule-discovery) and NOT for metabolomics pathway/enrichment analysis (use tooluniverse-metabolomics skills).

mims-harvard Skill

Genome-ASSEMBLY discovery, QC, and replicon mapping for any organism (bacteria, archaea, fungi, and beyond) using NCBI Datasets. Resolves an organism name or taxid to assemblies, picks the reference/representative or best-quality assembly, pulls assembly QC metrics (total length, contig/scaffold N50, contig count, GC%, assembly level, RefSeq category), enumerates chromosomes and plasmids via per-replicon sequence reports, and compares candidate assemblies on quality. Use for "what genomes are available for [organism]", "assembly stats / N50 / GC content for [GCF_/GCA_ accession]", "how many plasmids does [strain] have", "compare assemblies for [species]", "find the reference genome for [taxon]", "is this assembly Complete Genome or just contigs". NOT for gene-level orthology/synteny (use tooluniverse-comparative-genomics), plant gene structure (use tooluniverse-plant-genomics), de novo assembly from raw reads (no tool exists), or taxonomy-only name/lineage lookups.

rjmurillo Bundle

Systematic abstraction discovery using Commonality Variability Analysis. Build matrix of what varies vs what's constant, then let patterns emerge. Prevents wrong abstractions by deferring pattern selection until requirements are analyzed. Use when facing multiple similar requirements and need to discover natural abstractions.

rjmurillo Skill

Run all six PR quality axes (security, QA, analyst, architect, DevOps, roadmap) against your working changes and merge their verdicts into one. Use when you say `run all the quality gates`, `pr-quality all`, or `full pre-push review`. Do NOT use to run one axis on its own (use pr-quality-security or its sibling for that axis), and do NOT use as the pre-merge gate (use review).

rjmurillo Skill

Assess a local diff for strategic alignment, scope creep, and user value, and return a PASS/WARN/CRITICAL_FAIL verdict. Use when you say `roadmap review my changes`, `run the roadmap gate`, or `does this serve a real user`. Do NOT use to run all six axes (use pr-quality-all), and do NOT use to set the roadmap (use the roadmap agent).

asiaostrich Bundle

[UDS] 在既有程式碼庫新增功能之前，評估專案健康度、架構與風險。 Use when: 接手不熟悉或老舊的專案、動工前先估算風險、建立風險登記簿。 Not for: 對已經熟悉的程式碼庫做持續指標追蹤——請用 /metrics；從程式碼回推規格——請用 /reverse。 Keywords: discovery, project assessment, legacy onboarding, risk register, technical debt, 現況評估, 專案盤點, 風險登記簿, 老舊系統.

asiaostrich Bundle

[UDS] 撰寫符合 INVEST 準則的使用者故事與需求。 Use when: 把一個功能構想轉成使用者故事、定義可測試的驗收條件、檢視待辦項目的品質。 Not for: 帶有設計與差異操作的完整規格文件——請用 /sdd；判斷這個構想本身對不對——請用 /brainstorm。 Keywords: requirement, user story, INVEST, acceptance criteria, backlog refinement, 需求, 使用者故事, 驗收條件, 待辦整理.

rjmurillo Bundle

Turn a problem into testable requirements with acceptance criteria, through a first-principles gate, a memory-first prior-art gate, and a PRD schema. Use when you say `spec this out`, `what should we build`, or `define the requirements`, and run it before plan. Do NOT use to sequence work into milestones (use plan), do NOT use to write the code (use build), and do NOT use to emit the REQ, DESIGN and TASK files directly (use spec-generator, which this invokes).