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概要と使いどころ
Filter alignments by flags, mapping quality, and regions using samtools view and pysam. Use when extracting specific reads, removing low-quality alignments, or subsetting to target regions.
日本語の概要は準備中です。原文の説明を表示しています。
Predicts ADMET properties using ADMETlab 3.0 (119 endpoints with uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES gold-standard endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.
日本語の概要は準備中です。原文の説明を表示しています。
Workflow for gene and transcript quantification from RNA-seq reads using alignment-based or alignment-free tools.
日本語の概要は準備中です。原文の説明を表示しています。
Identify direct miRNA-target interactions from AGO HITS-CLIP, AGO-CLEAR-CLIP (chimeric reads), HEAP (Halo-Ago2 mouse), chimeric eCLIP / miR-eCLIP (deep miRNA-target profiling), or CLASH using chimeric-read processing pipelines, seed-pairing analysis, and 3' auxiliary pairing rules. Use when distinguishing direct miRNA targets from indirect, integrating CLIP-derived target maps with TargetScan / miRDB / DIANA predictions, applying canonical 7mer-8mer seed matching with 3' UTR context, or recovering miRNA-mRNA chimeras at scale.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Workflow for Hi-C and related 3D genomics analyses including compartments, loops, TADs, differential contacts, and visualization.
日本語の概要は準備中です。原文の説明を表示しています。
Convert any public web page into clean, structured Markdown. Preserves headings, links, images, code blocks, and tables while removing ads, navigation, and clutter. Perfect for content archival, knowledge base building, and research note-taking.
日本語の概要は準備中です。原文の説明を表示しています。
Monitor conversations about any topic, brand, or keyword across Twitter, Reddit, Threads, Weibo, and community platforms simultaneously. Aggregates volume, sentiment, key voices, and emerging narratives across the global social web.
日本語の概要は準備中です。原文の説明を表示しています。
Research potential leads with verified contact information, professional backgrounds, company context, and social presence. Combines LinkedIn profiling, email verification, company enrichment, and social signals for sales-ready prospect intelligence.
日本語の概要は準備中です。原文の説明を表示しています。
Research competitor advertising strategies through Facebook Ad Library, Google SERP ads, and social media sponsored content. Covers creative analysis, messaging patterns, targeting signals, and campaign frequency for competitive marketing intelligence.
日本語の概要は準備中です。原文の説明を表示しています。
Generate free images with Agnes Image 2.1 Flash through the Agnes API, including text-to-image, image-to-image, high-density visual prompts, URL results, and local downloads. Use when the user asks for 免费图片, 免费的图片模型, free image API, Agnes image, Agnes Image 2.1 Flash, free AI image generation, image-to-image via Agnes, or wants a free image model Agent skill.
日本語の概要は準備中です。原文の説明を表示しています。
Editor role. Reads local materials, asks narrative questions, plans story arc. Outputs $DECK_DIR/deck.md as the sole content source. Use whenever the user says "outline", "plan slides", "organize materials", "structure", "table of contents", "narrative", or wants to structure content into a presentation.
日本語の概要は準備中です。原文の説明を表示しています。
Designer role. Reads deck.md, generates a single HTML presentation file with CSS design system + JS slide engine + per-slide content. Accepts visual references (URLs, screenshots, design specs) and extracts design signals to inform the isomorphic mapping. Use whenever the user says "design slides", "generate deck", "generate the deck", "build slides", "visual style", "reference this style", "like this design", "design", "generate slides", "visual style", "reference this style", or wants to turn an outline into actual slides.
日本語の概要は準備中です。原文の説明を表示しています。
Internal speech module for /codeck. Reads deck content, asks about style and duration only when missing, generates a verbatim speech transcript with stage directions. Outputs $DECK_DIR/speech.md.
日本語の概要は準備中です。原文の説明を表示しています。
Plain language applied to source code (ISO 24495-1:2023 principles). Governs the parts of code a person reads: the order units appear in, their names, comments, and error messages. Applied when writing or restructuring code, not when explaining it.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a devopsdays event has confirmed a speaker and their talk, workshop, ignite, or keynote needs to appear on the event site - covers the speaker bio page, the talk page, the headshot, and multi-speaker talks.
日本語の概要は準備中です。原文の説明を表示しています。
Structured persuasion for tech leads, PMs, and founders—not activity logs. Five scenarios (kickoff, status update, wrap-up, investor pitch, solution selling) on one 5-part framework (Hook→Context→Proposal→Evidence→Ask). AI prompts for missing materials and audience context; pre-submit checklist. Claude Code plugin; Cursor, Codex, and chat via prompts.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user needs a professional marketer's operating mindset for any marketing, growth, or client-acquisition task — finding first customers, writing an ad or landing page, designing ad creatives and visuals (how the eye works: background, scene, hero, movement), evaluating an idea, deciding whether to do X to get Y, positioning or launching a B2B or SaaS product, running cold outreach, setting up ads, or writing copy — not a tactical template.
日本語の概要は準備中です。原文の説明を表示しています。
Create and fill .agents/qa-project-context.md with the project's tech stack, test frameworks, CI/CD pipeline, environments, quality goals, risk areas, team structure, and conventions. This is the one file every other QA skill reads first, so they skip redundant discovery and give context-aware advice. Use when: "set up QA context," "configure testing," "initialize project," first use of any QA skill. Not for: bootstrapping a brand-new project's QA end-to-end — use qa-start (which calls this skill as its first step). Related: qa-start, risk-based-testing, test-strategy, qa-metrics, playwright-automation.
日本語の概要は準備中です。原文の説明を表示しています。
Goal-driven E2E testing where a browser agent (Playwright MCP / computer-use) reads a natural-language goal and explores the app via the accessibility tree to assert outcomes — no pre-written script. Covers when intent-driven beats scripted, making agent runs deterministic (pinned model, temperature 0, seeded data, bounded steps, explicit success assertion, snapshot-not-pixel), cost/latency control, the accessibility-tree-first interaction model, CI gating, and graduating a stable run into a scripted Playwright test. Use when: "agentic browser test," "goal-driven browser test," "let an agent explore the app," "natural-language E2E," "browser agent smoke test," "Playwright MCP test." Not for: Writing/maintaining deterministic scripted Playwright tests — that is playwright-automation. Testing your product's OWN LLM features — that is ai-system-testing. Related: playwright-automation, ai-system-testing, exploratory-testing, test-reliability, qa-project-context.
日本語の概要は準備中です。原文の説明を表示しています。
Test AI/LLM features that ship in your product. Covers prompt regression testing, response quality evaluation, tool-call validation, hallucination and RAG grounding checks, nondeterministic-output strategies, red-team/safety scans, eval frameworks, and agent-as-target injection (indirect injection via tool output / RAG / scan reports, self-propagating payloads, data exfiltration via an agent) plus a bundled detector for untrusted content. Use when: "test our LLM feature," "prompt regression test," "eval framework," "hallucination test," "RAG grounding," "nondeterministic output," "AI feature testing," "red-team our chatbot," "indirect prompt injection," "agent reading untrusted tool output," "production AI quality." Not for: using AI to generate your own test code — use ai-test-generation. Not for: classifying CI failures with AI — use ai-bug-triage. Not for: EU AI Act / GDPR conformity of an AI feature — use compliance-testing. Not for: canary/flag rollout of an AI feature — use testing-in-production. Related: ai-test-generation, ai-qa-review, api-testing, compliance-testing, security-testing, risk-based-testing, test-data-management.
日本語の概要は準備中です。原文の説明を表示しています。
Author and maintain MANUAL and hybrid test cases and suites in TestRail, Xray (Jira), Zephyr Scale, and Qase. Covers test-case anatomy (title, preconditions, steps, expected results, test data), suite/section organization, bulk authoring from user stories and acceptance criteria, ambiguous-step linting, CSV/API import-export payloads per tool, requirement traceability and coverage gaps, review hygiene, and when a manual case should graduate to automation. Use when: "write a test case," "manual test case," "TestRail case," "Xray test," "Zephyr Scale case," "Qase case," "import CSV into TestRail," "lint these steps," "traceability report," "should this be automated." Not for: Generating automated TEST CODE — that is ai-test-generation. Sprint-level WHAT-to-test selection — that is test-planning. Related: ai-test-generation, test-planning, exploratory-testing, qa-project-context.
日本語の概要は準備中です。原文の説明を表示しています。
Define lifecycle stages and marketing → sales / CSM handoff rules for leads captured by GTM channels during PRD v0.8 Deployment & Ops. Triggers on requests to set up lead lifecycle, define MQL/SQL criteria, build handoff process, or when user asks "what's an MQL?", "marketing to sales handoff", "lead lifecycle", "lead routing", "RevOps", "MOPS", "marketing operations". Outputs BR-MOPS-* lifecycle rules and GTM-MOPS-* handoff flow entries.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill whenever the user wants to read, create, or edit Korean Hangul Word Processor documents (.hwp or .hwpx files). Triggers include any mention of 'hwp', 'hwpx', '한글 문서', '아래한글', '한컴오피스', or uploading/attaching .hwp/.hwpx files. Also use when extracting text from Korean reports or producing Korean-formatted official documents (공문, 보고서, 계약서, 사업계획서). Do NOT use for Word .docx files (use the docx skill instead) or general Korean text without Hangul Word Processor format. ⚠️ SECURITY: if the task fills a form with personal data (주민등록번호·계좌·연락처·주소 등), LOAD THIS SKILL FIRST — before any `ls`/`cat`/`Read`/`grep` of the working dir or home — and NEVER directly cat/Read/grep a profile or 내정보 file (e.g. ~/.claw-hwp/profile.txt), even "to check it". Its SECURE FILL flow reads values in-process only; reading them yourself leaks them into context.
日本語の概要は準備中です。原文の説明を表示しています。