Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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For posting high-quality AI-related job listings on Xiaohongshu. Includes auto-generating geek-style recruitment cover images and detail images, and provides automated publishing scripts. Use when the user needs to post recruitment information, find Agent designers, or other AI talent.
YouTube video download — paste a YouTube video link and get a watermark-free download link in one step (supports multiple resolutions). Use when the user needs to download a YouTube video, save a YouTube video, or get a direct YouTube video link. Trigger words: YouTube video download, yt video download, YouTube video parsing, download YouTube video.
Search and download books from Z-Library and Anna's Archive. Use when user wants to find, search, download, or look up books, papers, or ebooks. Trigger phrases include "find book", "search book", "download book", "找书", "下载书籍", "搜书", "book search", "zlibrary", "anna's archive".
Hreflang and international SEO audit, validation, and generation. Detects common mistakes, validates language/region codes, and generates correct hreflang implementations. Use when user says "hreflang", "i18n SEO", "international SEO", "multi-language", "multi-region", or "language tags".
Internal link analysis AND generation. Analyzes orphan pages, link equity, anchor text. Also generates link suggestions for new content. Use when user says "internal linking", "orphan pages", "link suggestions", "where should I link", or "internal link recommendations".
Discover and install skills from Hermes, ClawHub, GitHub, and other registries. Load this skill whenever a user asks for a capability you don't already have — image generation, social media, email, calendar, finance, DevOps, search, browser automation, etc.
Audit GitHub Actions action usage across an org. Searches for a specific action (incident mode) or sweeps all workflow files for non-compliant action references (audit mode). Produces a read-only report of findings with compliance status and resolved SHAs. Does not modify any files. <example> User: We need to check if any repos are using tj-actions/changed-files Action: Trigger action-audit in incident mode for that action </example> <example> User: Can you find all unpinned actions across the org? Action: Trigger action-audit in audit mode </example>
Generate high-converting ad copy for Google Ads, Meta (Facebook/Instagram), LinkedIn, and TikTok. Creates multiple variations with A/B testing in mind. Includes headlines, descriptions, CTAs, and platform-specific formats. Use when creating ads, generating ad variations, or A/B testing ad copy.
Add, list, and remove Bolna providers for telephony, LLM, speech-to-text, and text-to-speech services such as Twilio, Plivo, Exotel, OpenAI, Anthropic, Azure, ElevenLabs, Deepgram, Sarvam, Cartesia, Polly, and others. Use when the user wants to bring their own credentials.
Budget allocation and bidding strategy review across all ad platforms. Evaluates spend distribution, bidding strategy appropriateness, scaling readiness, and identifies campaigns to kill or scale. Uses 70/20/10 rule, 3x Kill Rule, and 20% scaling rule. Use when user says budget allocation, bidding strategy, ad spend, ROAS target, media budget, or scaling.
Cross-platform creative quality audit covering ad copy, video, image, and format diversity across all platforms. Detects creative fatigue, evaluates platform-native compliance, and provides production priorities. Use when user says creative audit, ad creative, creative fatigue, ad copy, ad design, or creative review.
Free-first paid advertising audit and optimization skill, focused on the 3 platforms where 95% of advertiser spend lives: Meta, Google, TikTok. Guided onboarding (/ads start) saves context once and step-by-step OAuth walkthroughs; continuous coach (/ads next) ranks Quick Wins after each audit. ~158 weighted checks with scoring, parallel agents, industry templates, and AI creative generation.
Meta Ads deep analysis covering Facebook and Instagram advertising. Evaluates 50 checks across Pixel/CAPI health, creative diversity and fatigue, account structure, and audience targeting. Includes Advantage+ assessment. Use when user says Meta Ads, Facebook Ads, Instagram Ads, Advantage+, or Meta campaign.
Give an AG2 `Agent` the ability to run shell commands. Covers `SandboxShellTool` (client-side `subprocess` via `LocalEnvironment`, works with any provider) and the provider-native `ShellTool` (OpenAI Responses execution). Use when the user wants the Agent to execute commands, build/test code, manage files, or operate on a workspace. Always pair with sandboxing — `allowed`, `blocked`, `ignore`, or `readonly`.
Add OpenTelemetry traces to an AG2 `Agent` via `TelemetryMiddleware` (`ag2.middleware.builtin`). Emits spans for the full turn, each LLM call, each tool execution, and each human-input request, following the OpenTelemetry GenAI semantic conventions. Compatible with any OTLP backend — Jaeger, Grafana Tempo, Datadog, Honeycomb, Langfuse. Use when the user wants production-grade traces, latency analysis, token-usage attribution, or to ship telemetry into an existing observability stack.
Use when writing, recording, updating, validating, or troubleshooting Agent Host end-to-end and real-provider integration tests under src/vs/platform/agentHost/test/node/e2e and providerIntegration. Covers adding a cross-provider test, re-recording fixtures after an SDK bump, required cross-platform Azure validation, gating non-deterministic or platform-specific tests, and diagnosing replay cache misses.
Operate and extend barretlee/agent-pulse, the evidence-backed AI industry intelligence system: inspect source catalog and lifecycle, collect and normalize signals, bind evidence, cluster Events, evaluate system health, generate Scout hypotheses, export the privacy-safe public site, and verify release gates. Use when the user asks to run, configure, debug, extend, or explain Agent Pulse, its collectors, Control Room, narratives, Scout, or GitHub Pages output. Triggers on: agent-pulse, Agent Pulse, evidence-backed intelligence, source catalog, signal collection, Event clustering, source audit, Scout opportunity, public export, weekly brief, or AI industry intelligence pipeline.
PROACTIVELY use whenever the user needs data outside your training set or requires a live network call — web search, URL scraping, news, social media (any platform), market prices (crypto/stocks/FX), on-chain data, e-commerce product data, business/company data, weather, travel (flights/hotels). The provider catalog is dynamic and grows over time; if unsure whether a provider exists, call find_tools first to discover it. Not needed for conceptual, code, or local-file work.
Agile product ownership toolkit for Senior Product Owner including INVEST-compliant user story generation, sprint planning, backlog management, and velocity tracking. Use for story writing, sprint planning, stakeholder communication, and agile ceremonies
Systematically reduce the AI detection rate to below 30% and add a human feel through a three-pass review process (content, style, details). Use this skill when the user mentions "too much AI flavor", "written like AI", "reduce the AI detection rate", "make it more human", "make it more natural", "colloquial".
Build backend AI with Vercel AI SDK v5/v6. Covers v6 beta (Agent abstraction, tool approval, reranking), v4→v5 migration (breaking changes), latest models (GPT-5/5.1, Claude 4.x, Gemini 2.5), Workers startup fix, and 12 error solutions (AI_APICallError, AI_NoObjectGeneratedError, streamText silent errors). Use when: implementing AI SDK v5/v6, migrating v4→v5, troubleshooting errors, fixing Workers startup issues, or updating to latest models.
Quantitative detection and scoring of AI-ness in Chinese web fiction. Use when users want to "give the text an AI-ness score / quantify how AI-like it is", need to know "which sentence exactly the problem is in", want to check metaphor density, consecutive identical sentence patterns, sentence-length variation, paragraph distribution, repeated high-frequency emotion words, or piled-up extreme words, or want to locate the AI-ness hotspots before revising. Produces an AI-ness index (0–10) + measured results for eight metrics + a deduction location checklist.
Alicloud DNS Diagnostic Skill (Read-Only). Diagnostic tool for domain unreachable, DNS resolution failure, DNS record not taking effect, NXDOMAIN, unknownhost, and other DNS-layer issues. Automatically performs WHOIS lookup, recursive tracing, OpenAPI config verification, and nationwide probing via boce to generate diagnostic reports. Covers Alibaba Cloud DNS, GTM, PrivateZone, and third-party DNS. This skill is read-only and will NOT execute any Create, Update, Delete, or other write operations. Triggers: "DNS resolution failed", "domain unreachable", "DNS not working", "NXDOMAIN", "domain ping failed", "DNS diagnose", "quick check", "快速检查", "DNS record check", "记录解析", "DNS resolution status", "解析状态", "check A/CNAME/MX/TXT record"
Use when managing Alibaba Cloud Content Moderation (Green) via OpenAPI/SDK, including the user needs content moderation resource and policy operations, including list/create/update actions, status inspection, and troubleshooting moderation workflow failures.
Submits and tracks protein-testing experiments on the Adaptyv Bio Foundry cloud lab (wet-lab validation), and optimizes protein sequences before submission with computational tools (NetSolP, SoluProt, SolubleMPNN, ESM). Use when designing proteins that need wet-lab validation - binding/affinity screening, expression testing, thermostability, or fluorescence assays - or when submitting experiments to the Foundry API, browsing the target catalog, tracking experiment status, retrieving results, or pre-screening sequences for solubility/expression. Triggers on "Adaptyv", "Foundry API", "cloud lab", "biolayer interferometry / BLI", "wet-lab validation". Part of the AlterLab Academic Skills suite.
Accesses stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, company fundamentals, news sentiment, and 50+ technical indicators via the Alpha Vantage REST API (free API key from alphavantage.co; realtime/intraday data and full daily history need a premium key). Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Part of the AlterLab Academic Skills suite.
Integrates the Benchling R&D platform via its REST API and SDK — access the registry (DNA, proteins), inventory, ELN entries and workflows, build Benchling Apps, and query the Benchling Data Warehouse. Use when automating Benchling lab data management, syncing sample registry or inventory records, scripting ELN entries/workflows, or running SQL against the Benchling Data Warehouse. Part of the AlterLab Academic Skills suite.
Search scientific papers and retrieve structured experimental evidence extracted from full-text studies via the BGPT MCP server (`search_papers`, plus `lookup_paper` by DOI), returning 25+ fields per paper (methods, results, sample sizes, quality scores, limitations, conclusions). Use when running a literature review or evidence synthesis, or when needing experimental details (sample sizes, effect sizes, methods, quality scores) that abstracts alone do not provide. Part of the AlterLab Academic Skills suite.
Query BindingDB for measured protein-ligand binding affinities (Ki, Kd, IC50, EC50) via its keyless REST API or the full TSV download, searching by target (UniProt ID), compound (SMILES), or pathogen. Use when looking up experimental binding constants, profiling inhibitors of a protein target, doing lead optimization, polypharmacology analysis, or structure-activity relationship (SAR) studies; for curated bioactivity mining or drug-like compound library screening at scale prefer alterlab-chembl instead. Part of the AlterLab Academic Skills suite.
Access the BRENDA enzyme database via its SOAP API to retrieve kinetic parameters (Km, kcat, Ki), reaction equations, organism data, and substrate-specific enzyme information indexed by EC number. Use when looking up enzyme kinetics, turnover numbers, or substrate specificity for biochemical research and metabolic pathway analysis. Part of the AlterLab Academic Skills suite.
Query ChEMBL via the chembl_webresource_client Python client for curated bioactive molecules and drug-like compound libraries at scale — search compounds by structure or physicochemical properties, retrieve bioactivity measurements (IC50, Ki, EC50), and find inhibitors of a target. Use when screening chemical libraries, mining curated bioactivity for a protein, running SAR studies, or sourcing medicinal-chemistry data; for measured protein-ligand binding affinities (Ki/Kd/IC50) prefer alterlab-bindingdb instead. Part of the AlterLab Academic Skills suite.
Verifies that every bibliography entry exists by checking Crossref, Semantic Scholar, Europe PMC, and arXiv, with Open Library for books (no API key required), plus doi.org DOI registration; fuzzy-matches titles and authors; flags retractions recorded by Crossref (including Retraction Watch); and emits per-entry JSON verdicts in the AlterLab citation-hallucination taxonomy (PAC/IH/PH/SH/ID_INVALID; index absence is NOT_FOUND, never fabrication). A companion script scores whether a cited abstract supports a claim (SH). Accepts BibTeX, DOI/arXiv lists, or pasted references, and reports entries as unverified rather than passing anything it could not check. Use when the request mentions verifying citations, checking references, fabricated or hallucinated references, fake DOI, retraction checks, bibliography audits, reference existence checks, or whether a source supports a claim. For drafting a manuscript, prefer alterlab-paper-writer; for dead hyperlinks, prefer alterlab-link-health. Part of the AlterLab Academic Skills suite
Generates professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings — biomarker-stratified patient cohort analyses with outcomes and evidence-based treatment recommendation reports with decision algorithms, supporting GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance, output as publication-ready LaTeX/PDF. Use when building a CDS document, cohort analysis, or treatment recommendation report for drug development, clinical research, or evidence synthesis, or when GRADE grading, hazard ratios, survival/waterfall plots, or biomarker stratification are requested. Part of the AlterLab Academic Skills suite.
Query ClinicalTrials.gov via its API v2 to search trials by condition, drug, location, recruitment status, or phase and retrieve trial details by NCT ID. Use when finding interventional or observational studies, checking trial status and eligibility for patient matching, or exporting clinical trial records for research. Part of the AlterLab Academic Skills suite.
Access ClinPGx pharmacogenomics data (the successor to PharmGKB) to query gene-drug interactions, CPIC/DPWG dosing guidelines, drug labels, and pharmacogene records. Use when interpreting pharmacogenes (CYP2D6, CYP2C19, TPMT, DPYD, SLCO1B1), looking up genotype-guided drug dosing, checking PGx drug-safety associations (e.g. HLA-B*57:01 and abacavir), or supporting precision medicine and clinical pharmacogenomics decisions. For star-allele definitions/frequencies see PharmVar; for germline/somatic variant pathogenicity see alterlab-clinvar. Part of the AlterLab Academic Skills suite.
Query NCBI ClinVar via the E-utilities API or FTP for the clinical significance (pathogenicity) of human germline genetic variants, searching by gene, variant, condition, or genomic position and interpreting ACMG/AMP classifications and review-status star ratings. Use when assessing whether a variant is pathogenic, likely pathogenic, VUS, likely benign, or benign, resolving conflicting interpretations, or annotating a VCF with ClinVar clinical significance. For population allele frequencies by ancestry use alterlab-gnomad; for somatic cancer mutation frequencies use alterlab-cosmic. Part of the AlterLab Academic Skills suite.
Access the COSMIC catalogue of somatic mutations in cancer to query somatic mutations, the Cancer Gene Census, mutational signatures, and gene fusions (authentication required). Use when curating known cancer driver genes, looking up recurrent somatic mutations in a gene, or interpreting mutational signatures for cancer research and precision oncology. Not for germline pathogenicity calls (use alterlab-clinvar) or interactive cohort visualization like OncoPrints and survival from study data (use alterlab-cbioportal). Part of the AlterLab Academic Skills suite.
Scales pandas/NumPy workflows beyond memory with Dask distributed computing — parallel DataFrames, arrays, delayed task graphs, and cluster execution. Use when existing pandas/NumPy code must run on larger-than-RAM data or across clusters, for parallel file processing, distributed ML, or integration with existing pandas code. For out-of-core analytics on a single machine prefer vaex; for in-memory speed prefer polars. Part of the AlterLab Academic Skills suite.
Wraps RDKit in a high-level, pandas-friendly datamol interface with sensible defaults for everyday drug discovery — SMILES/SDF loading into DataFrames, molecule standardization, descriptors, fingerprints, Butina clustering, 3D conformer generation, scaffold analysis, and parallel batch processing, returning native rdkit.Chem.Mol objects. Use when running standard cheminformatics pipelines on molecule tables with minimal boilerplate; for low-level control, custom sanitization, or specialized algorithms prefer alterlab-rdkit. Part of the AlterLab Academic Skills suite.
Runs molecular machine learning with DeepChem — diverse featurizers, pre-built MoleculeNet benchmark datasets, and pre-trained models (ChemBERTa, GROVER) for property prediction (ADMET, toxicity, solubility) via traditional ML or graph neural networks. Use when running end-to-end molecular ML experiments that need MoleculeNet benchmarks, scaffold splitting, or ready-made models with minimal setup; for building custom PyTorch graph architectures prefer alterlab-torch-geometric, and for standalone molecule-to-feature-vector generation prefer alterlab-molfeat. Part of the AlterLab Academic Skills suite.
Runs Denario (AstroPilot-AI), a multiagent AI system for scientific research assistance that automates end-to-end research workflows from a described dataset through idea, methodology, computational results, and a publication-ready LaTeX paper. Built on AG2 + LangGraph with a cmbagent analysis backend. Use when driving the Denario pipeline (Denario.get_idea/get_method/get_results/get_paper), generating research ideas from a dataset description, auto-developing methodology, executing analysis agents, or emitting a journal-formatted (APS/AAS/JHEP/ICML/NeurIPS/PASJ) LaTeX manuscript. Part of the AlterLab Academic Skills suite.
Develops and runs genomics pipelines on the DNAnexus cloud platform using the dxpy Python SDK and dx CLI — build apps/applets, write dxapp.json, upload/download data, and execute jobs/workflows over FASTQ/BAM/VCF files. Use when building or running a DNAnexus app, applet, or workflow, writing dxapp.json, using dx-app-wizard or dx build, calling dxpy (find_data_objects, DXApplet.run, upload_local_file), or uploading/downloading sequencing data on DNAnexus. For LatchBio (Latch SDK @workflow/@task, LatchFile) use alterlab-latchbio instead; for Benchling LIMS use alterlab-benchling. Part of the AlterLab Academic Skills suite.
Access and analyze drug information from the DrugBank database — drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. Use when working with pharmaceutical data, drug discovery research, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task needing detailed drug and drug-target records from DrugBank. Part of the AlterLab Academic Skills suite.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.