Browse Skills — Page 184
32,231 public skills · showing 18,301–18,400
- 100/100
merge-review
SethGammon/Citadel
>-
- 100/100
merger-model
NousResearch/hermes-agent
Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation.
- 100/100
merger-model
anthropics/financial-services
Build accretion/dilution analysis for M&A transactions. Models pro forma EPS impact, synergy sensitivities, and purchase price allocation. Use when evaluating a potential acquisition, preparing merger consequences analysis for a pitch, or advising on deal terms. Triggers on "merger model", "accretion dilution", "M&A model", "pro forma EPS", "merger consequences", or "deal impact analysis".
- 100/100
mermaid
partme-ai/full-stack-skills
"Create Mermaid diagrams for Markdown documentation including flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, Gantt charts, pie charts, mindmaps, timelines, C4 diagrams, and 20+ other diagram types. Use when the user wants to draw, create, or visualize diagrams in Markdown-friendly format, mentions Mermaid, needs diagrams for GitHub/GitLab/wikis, or wants quick diagrams that render directly in Markdown renderers."
- 100/100
mermaid-diagram
wanshuiyin/Auto-claude-code-research-in-sleep
Generate Mermaid diagrams from user requirements. Saves .mmd and .md files to figures/ directory with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and 18 more diagram types.
- 100/100
mermaid-diagrams
langchain-ai/openwiki
Embed Mermaid diagrams in generated wiki pages. Use whenever documenting a runtime or request flow, a call sequence, a state machine or lifecycle, a data model or entity relationships, or non-trivial control flow, since these are clearer as a diagram than as prose. Also use when an update run touches a page that already contains a mermaid fence, or a page that contains a text fence a previous run degraded.
- 100/100
mermaid-expert
benjaminasterA/antigravity-awesome-skills
Create Mermaid diagrams for flowcharts, sequences, ERDs, and
- 100/100
mermaid-expert-v2
diegosouzapw/awesome-omni-skills
mermaid-expert workflow skill. Use this skill when the user needs Create Mermaid diagrams for flowcharts, sequences, ERDs, and architectures. Masters syntax for all diagram types and styling and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
- 80/100
mermaid-skill
Agents365-ai/mermaid-skill
Generate Mermaid diagrams (.mmd) and export to PNG/SVG/PDF using mmdc CLI or Kroki API. USE THIS SKILL when user mentions diagram, flowchart, sequence diagram, class diagram, ER diagram, state machine, architecture, visualize, git graph, 画图, 架构图, 流程图, 时序图. PROACTIVELY USE when explaining ANY system with 3+ components, API flows, authentication sequences, class hierarchies, database schemas, or state machines. Supports 12+ diagram types with fully automatic layout.
- 100/100
mermaid-studio
tech-leads-club/agent-skills
Expert Mermaid diagram creation, validation, and rendering with dual-engine output (SVG/PNG/ASCII). Supports all 20+ diagram types including C4 architecture, AWS architecture-beta with service icons, flowcharts, sequence, ERD, state, class, mindmap, timeline, git graph, sankey, and more. Features code-to-diagram analysis, batch rendering, 15+ themes, and syntax validation. Use when users ask to create diagrams, visualize architecture, render mermaid files, generate ASCII diagrams, document system flows, model databases, draw AWS infrastructure, analyze code structure, or anything involving "mermaid", "diagram", "flowchart", "architecture diagram", "sequence diagram", "ERD", "C4", "ASCII diagram". Do NOT use for non-Mermaid image generation, data plotting with chart libraries, or general documentation writing.
- 100/100
mermaid-syntax
tractorjuice/arc-kit
This skill should be used when the user asks about Mermaid diagram syntax, how to write flowchart, sequence, class, state, ER, Gantt, C4, mindmap, timeline, or other diagram types, node shapes, styling, theming, or rendering errors.
- 100/100
mermaid-to-proverif
trailofbits/skills
Translates Mermaid sequenceDiagrams describing cryptographic protocols into ProVerif formal verification models (.pv files). Use when generating a ProVerif model, formally verifying a protocol, converting a Mermaid diagram to ProVerif, verifying protocol security properties (secrecy, authentication, forward secrecy), checking for replay attacks, or producing a .pv file from a sequence diagram.
- 100/100
mermaid-tools
daymade/claude-code-skills
Extracts Mermaid diagrams from markdown files and generates high-quality PNG images using bundled scripts. Activates when working with Mermaid diagrams, converting diagrams to PNG, extracting diagrams from markdown, or processing markdown files with embedded Mermaid code.
- 100/100
mermaid-visualizer
closedloop-ai/claude-plugins
This skill should be used when a user asks to explain a complex idea, concept, or system architecture, or when a diagram would be helpful to visualize control flows, system architectures, data flows, state machines, sequence diagrams, or entity relationships.
- 100/100
mesh-analysis
elizaOS/eliza
Analyzes 3D mesh files (STL) to calculate geometric properties (volume, components) and extract attribute data. Use this skill to process noisy 3D scan data and filter debris.
- 100/100
mesh-converter
microsoft/DirectXMesh
>-
- 100/100
mesh-generation
swaruplab/operon
Plan and evaluate mesh generation for numerical simulations. Use when choosing grid resolution, checking aspect ratios/skewness, estimating mesh quality constraints, or planning adaptive mesh refinement for PDE discretization.
- 75/100
meshy-3d-agent
meshy-dev/meshy-3d-agent
Generate 3D models, textures, images, rig characters, animate them, and prepare for 3D printing using the Meshy AI API. Handles API key detection, task creation, polling, downloading, and full 3D print pipeline with slicer integration. Use when the user asks to create 3D models, convert text/images to 3D, texture models, rig or animate characters, 3D print a model, or interact with the Meshy API.
- 70/100
meshy-3d-generation
meshy-dev/meshy-3d-agent
Generate 3D models, textures, images, rig characters, and animate them using the Meshy AI API. Handles API key detection, setup, and all generation workflows via direct HTTP calls. Use when the user asks to create 3D models, convert text/images to 3D, texture models, rig or animate characters, or interact with the Meshy API.
- 100/100
meshy-3d-printing
meshy-dev/meshy-3d-agent
3D print models generated with Meshy AI, plus Creative Lab consumer products. Handles slicer detection, white model printing, multi-color printing via API, the Creative Lab pipeline (figure / lamp / keychain / fridge-magnet), and print-optimized download workflows. Use when the user mentions 3D printing, slicing, Bambu, OrcaSlicer, Prusa, Cura, Creality Print, Elegoo, Anycubic, multicolor, multi-color, 3mf, Creative Lab, or wants a figurine, keychain, fridge magnet, lamp, collectible, miniature, or physical product from a photo.
- 100/100
message-house-builder
aaron-he-zhu/aaron-marketing-skills
Use when the user asks to "build a message house", "write a PR-FAQ for our launch", or "define the launch narrative and value pillars"; derives from the positioning canvas a message house — tagline, one-liner, three value pillars, per-persona proof points (each labeled Measured / User-provided / [needs source]) — plus a working-backwards PR-FAQ narrative spine (launch-day tense, empty-chair test, five external + five internal FAQs) and per-channel message angle packs (angles, not finished copy). Not for the positioning canvas itself — use positioning-mapper; not for finished blog posts or pages — use content-writer; not for ad or email units — use each discipline creative builder; not for claim adjudication — use offer-claims-registry. 消息屋/PR-FAQ/价值支柱/发布叙事
- 100/100
message-system-architect
aaron-he-zhu/aaron-marketing-skills
Use when the user asks to "author our durable brand message hierarchy", "build the brand message house that seeds the canon", or "define the main narrative, three pillars, and tagline for the whole brand"; produces the DURABLE brand message system — main narrative, three value pillars, per-persona proof points (each labeled Measured / User-provided / ''[needs source]''), and the tagline/one-liner — that seeds the narrative-registry canon and from which every per-launch house derives. Not for a single launch''s message house or PR-FAQ — use message-house-builder; not for claim adjudication — use offer-claims-registry; not for the change-narrative arc itself — use strategic-narrative-designer. 品牌消息屋/主叙事/三支柱/标语/持久叙事 canon
- 100/100
message-test
indranilbanerjee/digital-marketing-pro
Test message variants on synthetic audiences. Use when: predicting response rates, sentiment, or objections before live tests.
- 100/100
message-test-designer
aaron-he-zhu/aaron-marketing-skills
Use when the user asks to "test our messaging before we scale it", "design a message-market-fit panel", or "run a 5-second comprehension test on our new tagline"; produces a message-test design spec — hypothesis, panel and recruit criteria, comprehension / 5-second / message-market-fit (Wynter-style) protocols, stimulus set drawn from the canon, success thresholds, and a stop/revise decision rule — for the TALE Evaluate phase so the message is validated before any paid scale. It designs the test; it never runs the experiment or adjudicates a claim. Not for running the panel or A/B experiment — use send-experiment-designer or ad-test-designer; not for analyzing the results — use performance-analyzer; not for authoring the message itself — use message-system-architect. 消息测试/理解度测试/面板设计/五秒测试/消息市场契合
- 100/100
messages
github/gh-aw
Add new safe-output message types and wire validation/rendering.
- 100/100
messages-ops
affaan-m/ECC
Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.
- 100/100
messaging
vellum-ai/vellum-assistant
Read, search, send, and manage messages across Gmail, Outlook, Telegram, and other platforms
- 100/100
messaging-ab-tester
gooseworks-ai/goose-skills
>
- 100/100
messaging-and-tone-matrix
Significant-Gravitas/skills-catalog
Build the layer above the voice guide: the positioning line, the three proof points you repeat, the claims you will never make, the language each persona gets, and where the tone sits for sales, support, marketing and social.
- 100/100
messe-verletzung-und-gv-einsatz
Klotzkette/claude-fuer-deutsches-recht
Markenverletzung auf Messen (Pitti Uomo/Berlin Fashion Week): Eilantrag §§ 935/940 ZPO, einstweilige Verfuegung, Schutzschrift, Gerichtsvollzieher-Sicherstellung, Auskunftsanspruch § 19 MarkenG, Vernichtungsanspruch § 18 MarkenG. Laedt, wenn der Nutzer 'Messe Verletzung', 'GV Sicherstellung', 'einstweilige Verfuegung Marke', 'Schutzschrift' oder 'Pitti Uomo Abmahnung' sagt.
- 100/100
messenger_read
obra/muse-skills
Work with the user's Messenger account: read call history; read and search contacts; read, search, and summarize conversations; send, react to, unsend, or edit messages; and message Marketplace listing threads.
- 100/100
meta_ads
obra/muse-skills
Create, write, or manage Meta ads and assets: ad copy, campaigns, spend, reports, audiences, catalogs, product feeds, feed refresh schedules, experiments, and policy. Always load for any request to create or write an ad, or to advertise a product or service, even when no platform is named; this includes sensitive or restricted categories. Always load for any question asking what a Meta, Facebook, or Instagram advertising policy means, allows, prohibits, or requires, including a standalone policy-definition question with no account context. Those questions must use ads_policy_tool, never browser search or memory. Load for a specifically named catalog or feed with an upload or refresh-schedule request; use Ads reads to resolve ownership before writing. Generic unnamed feeds need context. Whether an image, claim or piece of copy may be used in an ad is ALWAYS a Meta Ads task — 'can I use this in an ad', 'is it allowed', 'is this against policy', and any rights, likeness, celebrity, logo or trademark question about advertising with an image, including a follow-up about one just generated. Those are ads-policy questions, not general legal ones. An ad request uses the campaign workflow unless explicitly only an image or organic post.
- 100/100
meta-abstract-screener
aipoch/medical-research-skills
Screens research papers based on title/abstract and inclusion criteria, providing a structured Yes/No/Maybe decision. Use when you need to filter literature for meta-analysis or systematic reviews.
- 100/100
meta-ads
kostja94/marketing-skills
When the user wants to set up, optimize, or manage Meta (Facebook/Instagram) Ads. Also use when the user mentions "Meta Ads," "Facebook Ads," "Instagram Ads," "Meta Pixel," "Conversions API," "Advantage+," "lookalike audience," or "Meta retargeting." For landing pages, use landing-page-generator.
- 100/100
meta-ads-analyzer
modu-ai/cowork-plugins
|
- 100/100
meta-ads-campaign-builder
gooseworks-ai/goose-skills
>
- 80/100
meta-ads-expert
Varnan-Tech/opendirectory
Use when interacting with the Meta Ads CLI to manage accounts, campaigns, ads, and insights. Act as an Expert Media Buyer.
- 100/100
meta-ads-library
hyperfx-ai/marketing-skills
Research competitor Facebook and Instagram ads from the Meta Ads Library via the Hyper MCP — search by keyword, pull full ad creative and metadata, enrich with page contact info for lead generation, and surface structured ad-intelligence summaries in chat. Use when the user wants to scrape the Meta Ads Library, spy on competitor ads, monitor new ads in a category, build a lead list from advertisers, or surface creative trends across an industry.
- 100/100
meta-ads-manager
modu-ai/cowork-plugins
|
- 100/100
meta-analysis
yogsoth-ai/de-anthropocentric-research-engine
Cross-Study Statistical Synthesis Campaign — 5 strategies for systematic collection and methodological planning of multi-study evidence synthesis. Covers pairwise, network, cumulative meta-analysis, heterogeneity investigation, and bias detection. Stops at protocol design (no computation).
- 100/100
meta-analysis-execution
InternScience/scp
Perform meta-analysis on scientific studies to synthesize research findings and generate comprehensive reports with statistical summaries.
- 100/100
meta-analysis-methods-generator
aipoch/medical-research-skills
Generates the Methods section for a meta-analysis paper, including search strategy, screening, quality assessment, data extraction, and statistical analysis.
- 100/100
meta-analysis-synthesis
yogsoth-ai/de-anthropocentric-research-engine
Produce final meta-analysis protocol document assembling all planning outputs into PRISMA-compliant protocol
- 100/100
meta-baseline-generator
aipoch/medical-research-skills
Generates a meta-analysis baseline characteristics section (text + table) from raw data. Supports Chinese and English. Use when the user provides baseline data and wants a formatted results section.
- 100/100
meta-baujat-plot
aipoch/medical-research-skills
Generate Baujat plots for heterogeneity analysis. Identify studies that contribute most to the overall meta-analysis results and heterogeneity, helping discover potential outlier studies. Input meta-analysis data CSV, output Baujat plot PNG and contribution data CSV.
- 100/100
meta-cognition
aAAaqwq/AGI-Super-Team
Meta-cognitive framing for analyze-before-doing, ownership routing, risk gating, minimum-closure planning, and retrospective extraction in multi-agent work. Use when the user says 先分析再做 / 先别动手 / 先判断 / 先定方案, when work spans multiple agents or needs dispatch/orchestration, when CEO-style delegation or group command requires owner+deadline+closure, when abnormal sessions/cron/jobs/runs need real follow-through instead of status-only reporting, or when a task needs strategy, PRD, first-principles thinking, verification, and postmortem/retro.
- 80/100
meta-criteria-generator
aipoch/medical-research-skills
Generates scientifically sound inclusion and exclusion criteria for Meta-Analysis based on a given title or keywords. Use when user wants to design eligibility criteria for a systematic review or meta-analysis.
- 100/100
meta-description
kostja94/marketing-skills
When the user wants to optimize the meta description or meta tag description. Also use when the user mentions "meta description," "meta desc," "page description," "SEO description," "search snippet," "SERP description," "description tag," "snippet for search," "meta description length," "rewrite meta description," or "description not showing." For title tag, use title-tag. For hreflang, robots, viewport, use page-metadata.
- 100/100
meta-feasibility-analyzer
aipoch/medical-research-skills
Analyzes the feasibility of a proposed Meta-analysis topic by searching for existing Meta-analyses and Clinical Trials on PubMed/ClinicalTrials.gov. Use when you need to evaluate if a topic is viable for a new Meta-analysis.
- 100/100
meta-forest-binary-plot
aipoch/medical-research-skills
Generate meta-analysis forest plots for binary classification data. Input is a CSV file containing study names, event counts and sample sizes for experimental and control groups. Output includes forest plot PNG and data table CSV.
- 100/100
meta-forest-continuous-plot
aipoch/medical-research-skills
Generate forest plots for meta-analysis of continuous data. Input a CSV file containing study names, means, standard deviations, and sample sizes for experimental and control groups. Output forest plot PNG and data table CSV.
- 100/100
meta-forest-model-plot
aipoch/medical-research-skills
Generate forest plots for meta-analysis of survival data. Input is a CSV file containing study names, HR and 95% confidence intervals, output forest plot PNG and data table CSV. Supports both R and Python scripts.
- 100/100
meta-funnel-plot
aipoch/medical-research-skills
Generate Meta-analysis funnel plots and perform publication bias testing. Takes CSV file with Meta-analysis data as input, outputs funnel plot PNG, Egger test and Begg test results.
- 100/100
meta-manuscript-generator
aipoch/medical-research-skills
Generates a first draft of a clinical meta-analysis paper. Input the research report (including Methods and Results sections), language, and title to automatically generate a complete paper draft including Abstract, Introduction, Discussion, and other sections, with automatic PubMed retrieval of relevant references. Suitable for assisting in the writing of systematic reviews and meta-analyses.
- 100/100
meta-operations
SteelMorgan/1c-agent-based-dev-framework
Операции с объектами метаданных 1С (23 типа) — compile, info, edit, validate, remove. Используй при создании справочников, документов, регистров, перечислений и других объектов конфигурации.
- 100/100
meta-optimize
wanshuiyin/Auto-claude-code-research-in-sleep
Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says \"优化技能\", \"meta optimize\", \"improve skills\", \"分析使用记录\", or wants to optimize ARIS's own harness components based on accumulated experience.
- 100/100
Meta-Pattern Recognition
obra/superpowers-skills
Spot patterns appearing in 3+ domains to find universal principles
- 100/100
Meta-Pattern Recognition
aAAaqwq/AGI-Super-Team
Spot patterns appearing in 3+ domains to find universal principles
- 80/100
meta-picos-generator
aipoch/medical-research-skills
Generates PI(E)COS structure (Population, Intervention, Comparator, Outcomes, Study Design) from Meta-analysis or study titles. Use when the user wants to extract these elements from a title.
- 80/100
meta-prompt-engineering
lyndonkl/claude
Transforms vague or unreliable prompts into structured, constraint-aware prompts with explicit roles, task decomposition, output formats, and quality checks. Use when prompts produce inconsistent outputs, need explicit structure and constraints, require safety guardrails, involve multi-step reasoning that needs decomposition, need domain expertise encoding, or when user mentions improving prompts, prompt templates, structured prompts, prompt optimization, reliable AI outputs, or prompt patterns.
- 100/100
meta-protocol-writer
aipoch/medical-research-skills
Generates a PROSPERO-compliant Meta-analysis protocol based on Title and PICOS. Use when the user wants to write a protocol for a systematic review or meta-analysis.
- 100/100
meta-radial-plot
aipoch/medical-research-skills
Generate radial plots (Radial Plot/Galbraith Plot) for heterogeneity analysis. Visually assess heterogeneity across studies by displaying the relationship between standardized effect sizes and precision. Input: Meta-analysis data in CSV format; Output: Radial plot PNG and data CSV.
- 100/100
meta-results-forest-plot-analyzer
aipoch/medical-research-skills
Analyzes forest plots for meta-analysis, generating detailed descriptions and formatting figure legends in Chinese or English. Use when the user wants to interpret a forest plot image, describe its statistical significance (heterogeneity, p-value), and format the output with specific figure legends.
- 100/100
meta-results-funnel-plot-generator
aipoch/medical-research-skills
Generates a Meta-analysis results section description for funnel plots, including statistical tables (Egger's, Begg's, Trim & Fill) and figure legends. Supports English and Chinese outputs. Use when user provides a funnel plot image and statistics and wants a formatted report.
- 100/100
meta-results-risk-of-bias
aipoch/medical-research-skills
Generates the "Risk of Bias" results section for a meta-analysis based on assessment tables and statistics. Use when the user wants to draft the risk of bias analysis text from provided data tables.
- 100/100
meta-results-sensitivity-analysis
aipoch/medical-research-skills
Generates the "Results" section for meta-analysis sensitivity analysis based on statistical tables and titles. Use when the user wants to describe sensitivity analysis results or format sensitivity tables for a meta-analysis paper.
- 100/100
meta-rob2-plot
aipoch/medical-research-skills
Draw ROB2 risk-of-bias plots, including a Traffic Light Plot and a Summary Bar Plot. Input is a CSV file with ROB2 assessments for each study; output are two PNG plot files.
- 100/100
meta-screening-fulltext
aipoch/medical-research-skills
Screen full-text papers against inclusion/exclusion criteria, with optional PubMed metadata check using PMID. Use when the user needs to evaluate a paper for a meta-analysis.
- 100/100
meta-search-builder
aipoch/medical-research-skills
Medical literature search strategy generator. Given a user's natural-language description (e.g., meta-analysis topic, PICOS elements, research question), automatically extract medical entities (disease, intervention, population, outcomes) and generate professional search queries for seven major databases (PubMed, Cochrane, Embase, Web of Science, CNKI, Wanfang, VIP). Useful for developing search strategies for systematic reviews and meta-analyses.
- 100/100
meta-sensitivity-plot
aipoch/medical-research-skills
Generate leave-one-out sensitivity analysis plots for meta-analysis. Input is a CSV file containing meta-analysis data; outputs are a sensitivity forest plot (PNG) and a sensitivity data table (CSV) showing pooled effect estimates after excluding each study in turn.
- 100/100
meta-tags
686f6c61/alfred-dev
Auditar y corregir meta tags para SEO y redes sociales. Activar ante: SEO basico, meta description, Open Graph, Twitter Cards, titulo de pagina, etiquetas meta
- 100/100
meta-tags-optimizer
nowork-studio/NotFair
>
- 100/100
meta-title-generator
aipoch/medical-research-skills
Generates Meta-Analysis research titles based on user keywords, utilizing PubMed search results if available, or creative generation otherwise. Use when the user wants to brainstorm or generate titles for a meta-analysis, specifically starting from keywords or a topic.
- 100/100
meta-tribe-skill
Varnan-Tech/opendirectory
Analyzes video hooks and scripts using Meta's TRIBE v2 fMRI model, providing a neuro-marketing breakdown of scroll-stopping power and retention risk.
- 100/100
metaads-automation
ComposioHQ/awesome-claude-skills
"Automate Metaads tasks via Rube MCP (Composio). Always search tools first for current schemas."
- 100/100
metabase
vm0-ai/vm0-skills
Metabase API for business intelligence. Use when user mentions "Metabase",
- 100/100
metabase_ingest
Kaelio/ktx
Convert Metabase questions, models, and metrics into ktx Semantic Layer source definitions. Covers result-metadata to KSL column type mapping, FK/PK detection, near-duplicate deduplication, pre-aggregation decomposition, join-graph connectivity, and how to react to priorProvenance from earlier ingest syncs. Load when the WorkUnit contains `cards/<id>.json` files under a Metabase bundle.
- 100/100
metabolights-skill
openai/plugins
Submit compact MetaboLights requests for study discovery and study-level metabolomics metadata. Use when a user wants concise MetaboLights summaries
- 100/100
metabolomics_pathway
InternScience/scp
Metabolomics Pathway Analysis - Analyze metabolomics: compound identification, KEGG pathway mapping, enzyme links, and PubChem data. Use this skill for metabolomics tasks involving search pubchem by name kegg find kegg link kegg get. Combines 4 tools from 2 SCP server(s).
- 100/100
metabolomics-lipidomics
swaruplab/operon
Specialized lipidomics analysis for lipid identification, quantification, and pathway interpretation. Covers LC-MS lipidomics with LipidSearch, MS-DIAL, and LipidMaps annotation. Use when analyzing lipid classes, chain composition, or lipid-specific pathways.
- 100/100
metabolomics-metabolite-annotation
swaruplab/operon
Metabolite identification from m/z and retention time. Covers database matching, MS/MS spectral matching, and confidence level assignment. Use when assigning compound identities to detected features in untargeted metabolomics.
- 100/100
metabolomics-msdial-preprocessing
swaruplab/operon
MS-DIAL-based metabolomics preprocessing as alternative to XCMS. Covers peak detection, alignment, annotation, and export for downstream analysis. Use when processing MS-DIAL output files for R/Python analysis or when preferring GUI-based preprocessing.
- 100/100
metabolomics-normalization-qc
swaruplab/operon
Quality control and normalization for metabolomics data. Covers QC-based correction, batch effect removal, and data transformation methods. Use when correcting technical variation in metabolomics data before statistical analysis.
- 100/100
metabolomics-pathway-mapping
swaruplab/operon
Map metabolites to biological pathways using KEGG, Reactome, and MetaboAnalyst. Perform pathway enrichment and topology analysis. Use when interpreting metabolomics results in the context of biochemical pathways.
- 100/100
metabolomics-statistical-analysis
swaruplab/operon
Statistical analysis for metabolomics data. Covers preprocessing (log2 transformation, normalization), limma moderated testing with empirical Bayes, Welch's t-tests with BH correction, fold change estimation, and multivariate methods (PCA, PLS-DA, OPLS-DA). Use when identifying differentially abundant metabolites or building classification models.
- 100/100
metabolomics-targeted-analysis
swaruplab/operon
Targeted metabolomics analysis using MRM/SRM with standard curves. Covers absolute quantification, method validation, and quality assessment. Use when quantifying specific metabolites using calibration curves and internal standards.
- 100/100
metabolomics-workbench-database
jaechang-hits/SciAgent-Skills
Query Metabolomics Workbench REST API (4,200+ NIH studies) for metabolite ID, study discovery, RefMet standardization, m/z precursor searches, and gene/protein annotations. Quirks: compound input_item rejects `name` (use pubchem_cid/kegg_id/inchi_key/etc.); free-text → compound is a two-step refmet/match→refmet/name flow; moverz endpoint returns TSV text, not JSON. Use hmdb-database for local XML; pubchem-compound-search for general compound lookup.
- 100/100
metabolomics-xcms-preprocessing
swaruplab/operon
XCMS3 workflow for LC-MS/MS metabolomics preprocessing. Covers peak detection, retention time alignment, correspondence (grouping), and gap filling. Use when processing raw LC-MS data into a feature table for untargeted metabolomics.
- 100/100
metacognitive-monitoring
Tibsfox/gsd-skill-creator
Active supervision of the problem-solving process. Covers Schoenfeld's control layer, Ann Brown's self-regulation moves, planning-monitoring-evaluating cycle, time budgeting, strategy switching, and the "what am I doing and why?" check. Use continuously alongside any solving activity to avoid wandering, dead ends, and unproductive grinding.
- 100/100
metadata-discovery
SteelMorgan/1c-agent-based-dev-framework
Работа с метаданными (Metadata Discovery). Навык учит агента **работать с метаданными конфигурации 1С** — находить объекты (справочники, документы, регистры, обработки), понимать их структуру и связи.
- 100/100
metadata-updater
MicrosoftDocs/cloud-adoption-framework
Updates YAML frontmatter (ms.date, ms.service) after substantive content changes. Use when asked to update metadata or ms.date.
- 100/100
metagenomic-krona-chart
aipoch/medical-research-skills
Analyze data with `metagenomic-krona-chart` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
- 100/100
metagenomics-abundance
swaruplab/operon
Species abundance estimation using Bracken with Kraken2 output. Redistributes reads from higher taxonomic levels to species for more accurate estimates. Use when accurate species-level abundances are needed from Kraken2 classification output.
- 100/100
metagenomics-amr-detection
swaruplab/operon
Detect antimicrobial resistance genes using AMRFinderPlus, ResFinder, and CARD. Screen isolates and metagenomes for resistance determinants. Use when characterizing resistance profiles in clinical isolates, surveillance samples, or metagenomic data.
- 100/100
metagenomics-functional-profiling
swaruplab/operon
Profile functional potential of metagenomes using HUMAnN3 and similar tools. Use when obtaining pathway abundances, gene family counts, or functional annotations from metagenomic data.
- 100/100
metagenomics-kraken
swaruplab/operon
Taxonomic classification of metagenomic reads using Kraken2. Fast k-mer based classification against RefSeq database. Use when performing initial taxonomic classification of shotgun metagenomic reads before abundance estimation with Bracken.
- 100/100
metagenomics-metaphlan
swaruplab/operon
Marker gene-based taxonomic profiling using MetaPhlAn 4. Provides accurate species-level relative abundances using clade-specific markers. Use when accurate taxonomic profiling is needed and computational resources are limited, or for comparison with HMP/other MetaPhlAn studies.
- 100/100
metagenomics-strain-tracking
swaruplab/operon
Track bacterial strains using MASH, sourmash, fastANI, and inStrain. Compare genomes, detect contamination, and monitor strain-level variation. Use when needing sub-species resolution for outbreak tracking, transmission analysis, or within-host strain dynamics.
- 100/100
metagenomics-visualization
swaruplab/operon
Visualize metagenomic profiles using R (phyloseq, microbiome) and Python (matplotlib, seaborn). Create stacked bar plots, heatmaps, PCA plots, and diversity analyses. Use when creating publication-quality figures from MetaPhlAn, Bracken, or other taxonomic profiling output.
- 100/100
metaphor-automation
ComposioHQ/awesome-claude-skills
"Automate Metaphor tasks via Rube MCP (Composio). Always search tools first for current schemas."
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