Integrations & APIs

pku-yuangroup Bundle

Programmatic untargeted LC-MS feature extraction in R with the modern xcms 4.x MsExperiment/XcmsExperiment API, taking raw mzML to a feature table via CentWave peak detection, retention-time alignment, peak-density correspondence, gap-filling, CAMERA redundancy collapse, and built-in QC feature filtering. Use when converting centroided LC-MS runs into a features-by-samples matrix and deciding centWave/grouping/alignment parameters. For drift correction and QC/CV filtering execution see metabolomics/normalization-qc; for metabolite identification see metabolomics/metabolite-annotation; for the MS-DIAL GUI alternative with MS2Dec deconvolution see metabolomics/msdial-preprocessing; for downstream statistics see metabolomics/statistical-analysis.

pku-yuangroup Bundle

Detects allele-specific transcription factor or histone modification binding from heterozygous-variant ChIP-seq using WASP (reference-bias filter; mandatory upstream), RASQUAL (joint QTL + bias-corrected testing), BaalChIP (Bayesian beta-binomial with copy-number-aware overdispersion), and AlleleSeq (personalized diploid genome). Handles imprinted-locus awareness, X-inactivation artifacts, cancer copy-number imbalance, and integration with downstream caQTL / bQTL mapping. Use when identifying variants with allelic effects on TF binding, fine-mapping causal regulatory variants, validating deep-learning variant predictions, or characterizing cis-acting regulatory effects.

pku-yuangroup Bundle

Queries ClinVar for variant pathogenicity classifications, ClinGen VCEP curations, and somatic-vs-germline interpretations via REST API, weekly VCF, or bulk XML. Use when determining clinical significance, triangulating conflicting interpretations, or aggregating evidence against the ACMG/AMP framework with ClinGen SVI specifications.

pku-yuangroup Bundle

Analyzes CRISPR drug-modifier (chemogenomic) screens with drugZ (Colic et al. 2019 Genome Med), a bidirectional Z-score method that identifies synthetic-lethal sensitizing genes and resistance-conferring suppressor genes from vehicle vs drug comparisons. Covers vehicle-anchored design (not Day-0), the bidirectional Z math giving greater sensitivity to small-effect hits than MAGeCK / STARS / edgeR / RIGER on drug screens, per-gene sumZ and normZ, synth (sensitizer) vs supp (suppressor) FDR, multi-dose handling, integration with control sgRNAs, and comparison with MAGeCK MLE with dose covariate. Use when running a drug-modifier CRISPR screen, identifying sensitizing or resistance genes for a drug candidate, choosing drugZ vs MAGeCK MLE for chemogenomic analysis, troubleshooting low-effect drug screens where MAGeCK lacks sensitivity, or designing a drug-screen layout (vehicle vs drug arms).

pku-yuangroup Bundle

Identifies differential m6A methylation between conditions from MeRIP-seq paired IP/input data using exomePeak2 (GC-bias-aware differential via its bam_ip/bam_input control + bam_treated_ip/bam_treated_input treatment arms), QNB beta-binomial, MeTDiff HMM, and RADAR, plus the paired-symmetric edgeR/DESeq2-on-peak-counts route when batch/lot covariates need fixed-effect handling that exomePeak2's API does not accept. Covers paired vs unpaired vs interaction designs, batch confounding and per-lot meta-analysis, the stoichiometry-vs-expression-vs-IP-efficiency confound, and effect-size filtering against under-powered N=2 designs. Use when comparing m6A across two or more conditions, choosing between exomePeak2/QNB/RADAR/MeTDiff for a design, handling batch confounding when exomePeak2's API is too rigid, distinguishing real hyper/hypo-methylation from expression shifts, applying effect-size thresholds, or planning orthogonal stoichiometry validation (GLORI/SAC-seq/m6Anet mod_ratio).

pku-yuangroup Bundle

Segments the genome into chromatin states from combinatorial histone modification and chromatin factor ChIP-seq data. Uses ChromHMM (multivariate HMM on binarized signal, v1.27), Segway (Dynamic Bayesian Network on continuous signal), EpiSegMix (flexible-distribution HMM with duration modeling, 2024), EpiLogos (multi-biosample visualization), IDEAS (cell-type-aware joint), and full-stack ChromHMM (Vu Ernst 2022) for cross-cell-type segmentations. Handles state-count selection (15 vs 18 vs 25 states), binarization choice, OverlapEnrichment / NeighborhoodEnrichment downstream analysis, and cross-biosample integration. Use when learning chromatin states from a histone mark panel, characterizing learned states by genomic feature enrichment, or comparing chromatin landscapes across cell types.

revfactory Bundle

위기 상황 발생 시 상황파악, 메시지전략, 보도자료, Q&A, 모니터링까지 에이전트 팀이 협업하여 통합 위기소통 패키지를 한 번에 생성하는 풀 파이프라인. '위기 대응', '위기 커뮤니케이션', '보도자료 작성', '위기관리', 'crisis management', '긴급 대응', '언론 대응', '기자회견 준비', '공식 입장문', '위기 소통 전략', '사과문 작성', '리콜 대응', '데이터 유출 대응', '사건 사고 대응' 등 조직의 위기 상황 커뮤니케이션 전반에 이 스킬을 사용한다. 위기 유형이 특정되지 않아도 범용 위기 대응 프레임워크를 제공한다. 단, 실제 법률 자문, 보험 청구, 형사/민사 소송 대리, 실시간 SNS 모니터링 API 연동은 이 스킬의 범위가 아니다.

revfactory Bundle

OpenAPI 3.x spec analysis patterns, schema normalization, authentication method mapping, pagination/error pattern extraction, and GraphQL/gRPC spec interpretation guide. Use this skill for requests involving 'OpenAPI', 'Swagger', 'spec analysis', 'schema normalization', 'API authentication', 'pagination patterns', 'GraphQL schema', 'gRPC proto', etc. Enhances spec-parser's spec analysis capabilities. Note: SDK code generation and test authoring are outside the scope of this skill.

yigityildiz0 Skill

Use an already configured Firecrawl client or API for authorized web search, scraping, mapping, crawling, and structured extraction with bounded scope.

yigityildiz0 Skill

Official GSAP skill for the core API — gsap.to(), from(), fromTo(), easing, duration, stagger, defaults, gsap.matchMedia() (responsive.

yigityildiz0 Bundle

Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space. Turkish triggers: scVI veya scANVI analizi, tek hücre batch correction, CITE-seq/multiome, latent uzay.

yigityildiz0 Bundle

Create integration and end-to-end test scenarios covering workflows, API interactions, database operations, and system boundaries. Use when testing.

yigityildiz0 Skill

Writes unit and integration tests for new or changed code. Use when asked to "write tests", "add tests", "test coverage", "test this function".

yigityildiz0 Skill

Compare vendors, tools, agencies, platforms, or service providers using requirements, evidence, cost, integration, risk, support, and exit criteria. Use for vendor review, supplier comparison, tool evaluation, buy-versus-build, or procurement brief. Turkish triggers: tedarikçi değerlendirmesi, teklif ve SLA karşılaştır, güvenlik/maliyet/risk, seçim önerisi.

yigityildiz0 Bundle

Deep FastAPI expertise for async API development, dependency injection, Pydantic models, middleware, and testing. Use when building Python APIs with.

yigityildiz0 Skill

Detect ambiguous, incomplete, or contradictory requirements and specifications with structured clarification templates. Use when reviewing requirements, user stories, API specifications, or any written specification before implementation begins. Turkish triggers: gereksinim belirsiz, çelişki var mı, eksik şartları bul, netleştir.

yigityildiz0 Bundle

GraphQL API development including schema design, resolvers, N+1 prevention, subscriptions, and federation. Use when building GraphQL APIs, optimizing query.

yigityildiz0 Skill

Produce a decision-complete, repository-grounded implementation plan with scope, architecture, file-level changes, data/API impacts, tests, migration, rollout, rollback, risks, and acceptance criteria. Use before substantial changes or when the user asks for a plan; inspect the actual project and infer safe details instead of running a fixed interview. Turkish triggers: uygulama planı hazırla, dosya bazlı teknik plan, test ve geri alma adımları.

yigityildiz0 Skill

Slack workflow umbrella skill. Use when Codex should prepare Slack-native summaries, replies, updates, or channel-ready internal communication.

jiayaoqijia Bundle

Manage Grid bots (spot/contract/coin-margined) and DCA Martingale bots (Spot DCA 现货马丁 / Contract DCA 合约马丁) on OKX. Covers create, stop, amend, monitor P&L, TP/SL, margin/investment adjustment, and AI-recommended parameters. Requires API credentials. Not for regular orders (okx-cex-trade), market data (okx-cex-market), or account info (okx-cex-portfolio).

jiayaoqijia Bundle

Use this skill when the user provides a specific wallet address and wants to check its balance, token holdings, portfolio value, or DeFi positions. Typical triggers: 'check balance of 0xAbc...', 'show tokens in this address', 'what tokens does 0xAbc hold', 'portfolio value of this address', address portfolio value, multi-chain balance lookup for a given address. Supports XLayer, Solana, Ethereum, Base, BSC, Arbitrum, Polygon, and 20+ other chains. Do NOT use when the user asks about their own wallet without providing an address (e.g., 'check my wallet balance', 'show my assets', '查看我的余额') — use okx-agentic-wallet instead, which queries the logged-in wallet. Do NOT use for PnL analysis, DEX history, realized/unrealized profit — use okx-dex-market. Do NOT use for signal tracking — use okx-dex-signal. Do NOT use for meme scanning — use okx-dex-trenches. Do NOT use for programming questions about balance APIs or integration.

jiayaoqijia Bundle

Provides malware analysis and network traffic techniques for CTF challenges. Use when analyzing obfuscated scripts, malicious packages, custom crypto protocols, C2 traffic, PE/.NET binaries, RC4/AES encrypted communications, YARA rules, shellcode analysis, memory forensics for malware (Volatility malfind, process injection detection), anti-analysis techniques (VM/sandbox detection, timing evasion, API hashing, process injection, environment checks), or extracting malware configurations and indicators of compromise.

jiayaoqijia Bundle

Use when the user asks to 'buy BTC', 'sell ETH', 'place a limit order', 'place a market order', 'cancel my order', 'amend my order', 'long BTC perp', 'short ETH swap', 'open a position', 'close a position', 'set take profit', 'limit take profit', 'immediate TP', 'set stop loss', 'self-trade prevention', 'stpMode', 'auto-cancel on close', 'trailing stop', 'pending order', 'chase order', 'iceberg', 'TWAP', 'split order', 'large order', 'set leverage', 'check my orders', 'fill history', 'buy a call', 'sell a put', 'option chain', 'implied volatility', 'IV', 'Greeks', 'delta', 'gamma', 'event contract', 'buy Yes', 'buy No', 'buy Up', 'buy Down', 'prediction market', or any request to place, cancel, or amend spot, swap, futures, options, or event contract orders on OKX CEX. Covers conditional (TP/SL/trailing) algo orders. Requires API credentials. Do NOT use for market data (okx-cex-market), account balance (okx-cex-portfolio), or bots (okx-cex-bot).

jiayaoqijia Bundle

Use this skill when the user asks for: price of any asset, ticker, order book, candles, OHLCV, funding rate, open interest, OI change scanner, market screener (top movers, high-volume, newly listed), mark price, index price, recent trades, instrument list, stock tokens, metals prices (gold, XAU, XAG), commodities (oil, OIL), forex rates (EUR/USD, EURUSDT), bond instruments, non-crypto assets, or any technical indicator query (RSI, MACD, EMA, Bollinger Bands, KDJ, SuperTrend, AHR999, BTC rainbow, and 70+ more). All commands are read-only and do NOT require API credentials. Do NOT use for account balance/positions (okx-cex-portfolio), placing/cancelling orders (okx-cex-trade), or bots (okx-cex-bot). Do NOT use when the user wants to TRADE a directional view as an event contract — that is okx-cex-trade. Merely ASKING which way an asset's price is moving is a market-data question and belongs here.

jiayaoqijia Bundle

x402 Token Sentiment API

jiayaoqijia Bundle

Get real-time crypto buy/sell activity from Smart Money wallets, KOL influencer wallets, and personally followed wallets via GMGN API — alpha signals, whale tracking, meme token copy-trading ideas on Solana, BSC, Base, or Ethereum. Also query which tokens a wallet has followed (bookmarked) on GMGN. Use when user asks what smart money or KOLs are buying, wants whale alerts, on-chain alpha, copy-trade signals, or wants to check a wallet's followed tokens. (For a specific wallet address's portfolio, use gmgn-portfolio.)

jiayaoqijia Bundle

Get crypto and meme token price charts (K-line, candlestick, OHLCV), trending meme coin rankings by volume, newly launched tokens on launchpads (pump.fun, fourmeme, letsbonk, Raydium, etc.), the hot-search ranking (most-searched tokens), and search for a specific token or wallet by name, symbol, contract address, wallet address, or ENS via GMGN API on Solana, BSC, Base, or Ethereum. Use when user asks for price chart, trending tokens, what's pumping, hot coins, most searched tokens, new launches, token signals, wants to look up / find / search a specific token or wallet by name or address, or wants to discover early-stage opportunities.

jiayaoqijia Bundle

This skill should be used when the user asks about 'account balance', 'how much USDT do I have', 'my funding account', 'show my positions', 'open positions', 'position P&L', 'unrealized PnL', 'closed positions', 'position history', 'realized PnL', 'account bills', 'transaction history', 'trading fees', 'fee tier', 'account config', 'max order size', 'how much can I buy', 'withdrawable amount', 'transfer funds', 'move USDT to trading account', or 'switch position mode'. Also use for '总资产', 'full balance', 'all assets', 'total holdings', 'net worth', 'how much do I have in total', 'show all my balances', 'all account balances', 'asset overview', 'aggregated balance', 'asset snapshot', '资产快照'. Requires API credentials. Do NOT use for market prices (use okx-cex-market), placing/cancelling orders (use okx-cex-trade), or grid/DCA bots (use okx-cex-bot).

jiayaoqijia Bundle

Troubleshoot ChainGPT API errors and issues. Use when: chaingpt error, api not working, 401, 402, 403, 404, 429, insufficient credits, rate limit, streaming broken, nft stuck, chat history not working. Diagnoses the problem and provides the fix.

pku-yuangroup Bundle

Detects somatic mutations in circulating tumor DNA, treating low-VAF detection as a signal-versus-noise problem set by error suppression and molecules sampled, not by the choice of caller. Distinguishes de novo CALLING (scanning a panel for unknown variants, bounded by per-locus error and multiple testing) from tumor-informed DETECTION (tracking a pre-specified variant set, where panel integration reaches single-ppm). Covers VarDict and Mutect2 for de novo calling, UMI-aware callers, and a pysam-based known-variant VAF tracker, with matched-WBC subtraction as the mandatory defense against clonal hematopoiesis (the dominant false positive). Use when calling or tracking tumor mutations from plasma cfDNA, setting a VAF threshold, or deciding whether a low-VAF call is tumor versus CHIP.

pku-yuangroup Bundle

Assesses genetic health of populations for conservation with Ne estimation across time horizons (LDNe NeEstimator V2 option-file API + SNeP physical-linkage correction; recent trajectory via GONE/GONE2; deep history via Stairway Plot 2 / dadi / fastsimcoal2 / PSMC), F-statistics, runs of homozygosity binned by length class to date inbreeding, genetic-load decomposition (Bertorelle 2022 realized vs masked), the modern 100/1000 Ne rule (Frankham 2014), Ne/Nc 2-6 orders of magnitude in marine fish (Hauser & Carvalho 2008), tree-sequence forward simulations (SLiM 4 + pyslim + tskit), and the Sukumaran-Knowles caveat against MSC methods for management-unit definition. Use when estimating Ne by time horizon, detecting inbreeding via F_ROH, decomposing genetic load, justifying conservation thresholds, distinguishing ESU/MU/DPS, configuring NeEstimator V2, or correcting LDNe physical linkage.

pku-yuangroup Bundle

Harmonizes already-normalized per-omic matrices onto a common footing before joint integration - assembling a MultiAssayExperiment, choosing the per-omic variance-stabilizing transform, deciding per-view versus per-feature scaling, picking a cross-omic batch strategy, and triaging missing data (feature, value, or whole sample; MAR versus MNAR). Covers why a shared-latent integrator is blind to what an omic is so scaling silently decides which block dominates, why batch confounded with biology is irrecoverable and should be modeled as a covariate not scrubbed, and why stacking blocks and running one ComBat erases cross-omic signal. Use when preparing two or more omics for MOFA2, mixOmics, or SNF, deciding a transform or scaling, correcting batch across modalities, or handling missing omics per sample. For deep per-omic normalization see differential-expression, methylation-analysis, proteomics, metabolomics; for the method decision see integration-design; for fusion see mofa-integration, mixomics-analysis.

pku-yuangroup Bundle

Integrates spatial RNA with a second modality (protein, ATAC, or histone marks) on spatial CITE-seq, DBiT-seq, spatial-ATAC, or Visium CytAssist data. Use when deciding vertical (same-pixel co-profiling -> WNN/MOFA joint factors) versus diagonal (serial adjacent sections -> registration via PASTE/STalign) integration; recognizing that modalities from serial sections are DIFFERENT cells so joint same-cell methods do not apply; handling a bounded antibody/feature panel where absence is uninformative; or treating a pixel/spot as a multi-cell mixture rather than a single cell.

pku-yuangroup Bundle

Produce and interpret PCA, t-SNE, UMAP, and PHATE plots for high-dimensional omics data with rigor about which method preserves what (variance, local structure, manifold, transitions), hyperparameter sensitivity, and the well-documented limits of 2D embeddings. Covers PCA biplot/scree/loadings, t-SNE PCA initialization (Kobak-Berens 2019), UMAP n_neighbors/min_dist trade-offs, and the Chari-Pachter 2023 critique. Use when visualizing high-dimensional data — bulk PCA, single-cell embeddings, multi-omics integration projections.

lgrappag Skill

Integrate C++ code with Unreal Engine for performance

lgrappag Skill

Implement motion capture integration and real-time synchronization