Calls m6A peaks from MeRIP-seq / m6A-seq paired IP-vs-input data using exomePeak2 (transcript-aware, GC-bias-corrected Poisson GLM; Liu 2022 *NAR Genom Bioinform* 4:lqac046), MeTPeak (HMM over sliding windows; Cui 2016 *Bioinformatics* 32:i378), MACS3 / MACS2 with --nomodel --broad --keep-dup all (genome-wide broad alternative), and DRACH motif enrichment confirmation via HOMER or ggseqlogo as a sanity check (NOT a filter). Covers BED12 vs narrowPeak output formats, exonic vs intronic peak handling, multi-tool reconciliation (intersection vs union; cross-caller IDR-equivalent), the m6A-vs-m6Am ambiguity at 5'UTR peaks that antibody-based methods cannot resolve, and orthogonal-validation routes (miCLIP / GLORI / m6A-SAC-seq / m6Anet). Use when calling peaks from paired IP/input genome BAMs, choosing exomePeak2 (transcript-aware default) vs MACS3 (broad genomic) vs MeTPeak (HMM-smoothed low-coverage), confirming DRACH enrichment as a sanity check on the peak set as a whole, reconciling differing peak sets across tools, validating MeRIP peaks against orthogonal single-base methods, interpreting peaks at the 5' end where m6Am contamination is possible, or recommending a multi-tool consensus strategy.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
peacezha/HPClaw☆ 32026년 10월 11일 업데이트
Identifies differential m6A methylation between conditions from MeRIP-seq paired IP/input data using exomePeak2 with `bam_ip` + `bam_input` (control arm) and `bam_treated_ip` + `bam_treated_input` (treatment arm) for integrated GC-bias-aware differential calling (Liu 2022 *NAR Genom Bioinform* 4:lqac046), QNB beta-binomial test (Liu 2017 *BMC Bioinformatics* 18:387), MeTDiff HMM-based differential bundled with MeTPeak, RADAR (Zhang 2019 *Genome Biol* 20:294) with its `filterBins -> diffIP -> reportResult` workflow, and the defensible paired-symmetric case of edgeR / DESeq2 on featureCounts-on-peaks matrices when batch / lot covariates need explicit fixed-effect handling (exomePeak2's top-level API does NOT accept arbitrary covariates). Covers paired vs unpaired vs interaction designs, batch confounding (antibody lot, RNA prep, sequencing run) and the per-lot meta-analysis strategy when exomePeak2 is the primary caller, the stoichiometry-vs-expression-vs-IP-efficiency confound that all MeRIP differential methods inherit, normalisation choice (size factor on IP, on input, on per-sample IP/input ratio), the McIntyre 2020 reproducibility caveat, effect-size filtering as a guardrail against under-powered N=2 designs, and orthogonal-validation routes for absolute stoichiometry (GLORI / SAC-seq / m6Anet `mod_ratio`). Use when comparing m6A levels across two or more conditions, choosing between exomePeak2 / QNB / RADAR / MeTDiff for a given design, handling batch confounding when exomePeak2's API is too rigid, normalising against input properly, distinguishing real hyper- / hypo-methylation from expression-level shifts, applying effect-size thresholds, interpreting volcano plots of differential peaks, or planning a follow-up orthogonal stoichiometry validation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
peacezha/HPClaw☆ 32026년 10월 11일 업데이트
Cloudflare Pages and Workers deployment checklist for wrangler deploys, secret audits, D1 migrations, Worker-compatible SDK checks, and browser-auth verification. Use when shipping Cloudflare changes to production. NOT for general CI/CD architecture, non-Cloudflare deployments, or post-launch UX QA.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
curiositech/port-daddy☆ 32026년 10월 19일 업데이트
Operating guide for the durable Autonomous Work Loop task fleet. Use when adding work to, coordinating, or working an Autonomous Work Loop campaign, or when calling the work_loop MCP tool.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
armanisadeghi/ai-matrx☆ 32026년 10월 20일 업데이트
Generate ABP Application.Contracts layer scaffolding (interfaces, DTOs, permissions) from technical design. Enables parallel development by abp-developer and qa-engineer. Use when: (1) backend-architect needs to generate contracts, (2) preparing for parallel implementation workflow, (3) creating API contracts before implementation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
MikeCheng1208/BattleTree☆ 22026년 7월 22일 업데이트
Orchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
MMEHDI0606/ai-agent-foundation-template☆ 22026년 5월 21일 업데이트
Runs the end-of-day maintainer handoff for NemoClaw. Checks version target progress, bumps stragglers to the next patch version, generates a QA handoff summary, and cuts the release tag. Use at the end of the workday. Trigger keywords - evening, end of day, EOD, wrap up, ship it, cut tag, handoff, done for the day.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
composio-community/nemoclaw-composio☆ 22026년 4월 30일 업데이트
Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to "dogfood", "QA", "exploratory test", "find issues", "bug hunt", "test this app/site/platform", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
David-Li0406/meta-skill-evloving☆ 22026년 7월 14일 업데이트
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing inference with pipelines, generating text, training sequence models, or working with BERT, GPT, T5, ViT, and other transformer architectures. Covers model loading, tokenization, training with Trainer API, text generation strategies, and task-specific patterns for classification, NER, QA, summarization, translation, and image tasks. (plugin:scientific-packages@claude-scientific-skills)
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
David-Li0406/meta-skill-evloving☆ 22026년 7월 14일 업데이트
Test and assure quality — test plan, QA, coverage, unit test, integration test, end-to-end, performance, benchmark, regression. Applies TDD and FIRST principles for the CTO office's tester.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
DrNabeelKhan/maxim☆ 22026년 10월 16일 업데이트
Large Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Lord1Egypt/awesome-skill-forge☆ 22026년 6월 10일 업데이트
Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues only.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Lord1Egypt/awesome-skill-forge☆ 22026년 6월 10일 업데이트
Generate or materially revise a repository-local test plan, QA plan, acceptance matrix, or regression checklist on explicit request or when one concrete testability gap blocks formal DEFINE; do not trigger for ordinary implementation, test execution, TDD, review, or completion claims.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Rosetears520/aili-workflows☆ 22026년 9월 27일 업데이트
Coverage review and verification sufficiency routing. Use when test coverage, uncovered paths, coverage reports, or verification adequacy need a read-only QA review; do not use for writing tests or running browser/E2E artifacts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Rosetears520/aili-workflows☆ 22026년 9월 27일 업데이트
Build or modify production UI components, layouts, client state, responsive behavior, accessibility, or UX inside an app when that frontend surface is the primary deliverable; do not trigger for rich campaign/media pages, backend integration, every user-facing text change, delegated browser QA, or review alone.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Rosetears520/aili-workflows☆ 22026년 9월 27일 업데이트
Use when you need to visually interact with a GUI — test buttons, fill forms, verify visual layouts, fuzz web pages, automate user flows, take screenshots, or perform end-to-end QA on any application. Works on cloud VMs, Docker containers, local machines, and sandboxes. Install: pip install cua.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
openinterpreter/interpreter-cua☆ 22026년 10월 16일 업데이트
Use after completing a round of code generation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
tt-a1i/harnessed☆ 22026년 3월 29일 업데이트
Tiered web access router. TIER 1 insane-search: headless extraction plus WAF bypass via curl_cffi, yt-dlp, Jina Reader, public APIs, Playwright fallback for blocked/403/Cloudflare pages, articles, YouTube subtitles. TIER 1.5 agent-reach: platform-native readers for Chinese/social platforms: Xiaohongshu, Douyin, Weibo, Bilibili, V2EX, WeChat, plus Twitter/Reddit/LinkedIn/GitHub. TIER 2 aside-browser FIRST (user's real logged-in browser: aside exec agent, aside repl Playwright), then CloakBrowser + agent-browser as the stealth fallback: source-patched stealth Chromium (CloakBrowser) driven over CDP by the agent-browser CLI for clicks, forms, screenshots, video, cookie login, QA/dogfood, Electron apps. Triggers: browse, stealth browser, CloakBrowser, agent-browser, cloak launch, bypass bot detection, blocked site, scrape, fill form, screenshot, import cookies, play youtube, podcast transcript. NOT for simple searches (web-search), fetches (webfetch), or messaging/workspace platforms — Slack/Discord/Notion/Gmail have Tier-1 CLIs in external-communication; come here only as its fallback.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
code-yeongyu/browsing-skill☆ 22026년 7월 12일 업데이트