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概要と使いどころ
Prepare a replication package for the sewage-house-prices project. Generates AEA-compliant README, master script, numbered script order, install script, and deposit checklist. Validates the package against 10 verification checks. This skill should be used when asked to "prepare replication", "data deposit", "create replication package", or "package for submission".
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。
Validate the replication package for the sewage-house-prices project. Runs 10 checks covering script execution, file integrity, output freshness, dependency verification, data provenance, and README completeness (AEA format). This skill should be used when asked to "audit replication", "check the package", or "verify reproducibility".
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。
Thoroughly verify all code, tables, figures, modeling decisions, and quantitative claims in an academic paper against its source R scripts and output files. Use this skill whenever you need to audit, replicate, or verify an academic research paper - including cross-checking LaTeX tables against R output, validating econometric modeling choices, ensuring sample sizes are consistent, building a verification manifest, and running automated replication tests. Trigger this skill for any mention of: paper verification, replication check, table audit, code-paper consistency, reproducing results, verifying estimates, checking coefficients, or any variant of "does the paper match the code."
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。
Replay a workflow HDF5 episode through its original Scene. Use for visual trajectory and recording verification; do not use for policy evaluation or LeRobot data.
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。
Diagnose and repair CCB ask/job/message/reply/artifact/callback lineage. Use for missing replies, incomplete artifacts, pending callbacks, retry/resubmit/ack decisions, reply delivery problems, or work-chain resume advice.
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。
Design data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "which database should I use", "SQL or NoSQL", "replication lag", "partitioning strategy", "consistency vs availability", "stream processing", "ACID transactions", "eventual consistency", "my queries are slow at scale", or "data is inconsistent across replicas". Also trigger when choosing a datastore, designing data pipelines, or debugging distributed-system consistency issues. Covers data models, batch/stream processing, and distributed consensus. For system design, see system-design. For resilience, see release-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。
Reverse-engineers any app into a recon map: screen inventory, user flows, component list, inferred data model and a feature matrix, from public pages, screenshots, app store listings, help docs and the user's own account. The first step of the Replica pack. Use when the user says "clone this app", "reverse engineer X", "how does X work", "map out X", "what screens does X have", "I want to build my own version of X", "copy this app", or pastes an app's URL or App Store link and wants to rebuild 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。
Compares an app clone against the original: a feature parity score from the feature matrix (weighted by must, should, could) with the missing list in build order, plus a screenshot layout diff that ignores colour so a rebrand does not count against you. Two standard-library Python tools. Use when the user says "how close is my clone", "compare it to the original", "what's missing", "parity check", "diff the screens", "is it ready", or after /replica-test.
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。
Rebuilds an app's design system for a clone: colour roles, type scale, spacing, radius, shadows and every component with its states, as design tokens plus component specs, with original assets instead of the target's logos, icons, illustrations or licensed fonts. Includes a WCAG contrast checker. Use when the user says "match the design", "rebuild the design system", "get the colours and fonts", "make it look like X", "design tokens for my clone", or after /replica-architect.
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。
Writes the launch for an app clone: the landing page built on the positioning angle, pricing set against the original's public pricing and its users' complaints, and the App Store and Google Play listing linted against the stores' limits and copycat rules. Use when the user says "landing page", "pricing", "how much should I charge", "App Store listing", "store screenshots", "launch plan", "Product Hunt", or after /replica-brand.
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。
Builds the backend of an app clone: auth, database migrations and access rules, payments with Stripe, email, background jobs and third-party integrations through official APIs only, plus a security checklist. Use when the user says "add login", "set up auth", "wire up the database", "add payments", "connect Stripe", "add Google Calendar", "send emails", "backend for my clone", or when /replica-build is running on fake data.
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。
Rebuilds an app screen by screen from the recon map: app shell first, then the core flow as a vertical slice, then every screen with all its states, ticking off the feature matrix as it goes. Writes every line fresh, never the original's code, assets or copy. Use when the user says "build the clone", "build screen S07", "start building", "rebuild this screen", "implement the booking page", or after /replica-design.
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。
Ships an app clone live on the user's own domain: a preflight gate (tests green, parity must-haves done, rebrand sweep clean, listing linted, legal pages up), production database and env vars, the host, DNS records for the domain and for email, Stripe live mode, OAuth redirects, monitoring, and mobile builds to TestFlight and Play. Use when the user says "deploy it", "ship it", "put it live", "connect my domain", "go to production", "publish the app", or after /replica-launch.
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。
Researches the app being cloned and reads what its real users say in public reviews (App Store, Google Play, G2, Capterra, Trustpilot, Reddit, Hacker News, its own feature-request board), then ranks what they hate, what is missing and what is unsolved, turns it into a fix plan for the clone and a positioning angle you can sell. Every quote is real, verbatim and linked. Use when the user says "what do people hate about X", "read the reviews", "how do I make mine better", "find the gap", "what features are missing", "how do I position this", "make it sellable", or after /replica-diff.
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。
Handle the replies under the user's own LinkedIn posts - draft answers to every comment, sorted by which ones are worth answering. Use when the user pastes the comments on their post, says "reply to these", "handle my comments", "someone said X on my post", or is dealing with a critic or a lead in the comments.
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。
Read and write Replicate: look up model versions and input schemas, run predictions, poll status, cancel runs. Trigger phrases: replicate, ai models.
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。
Compares Hi-C contact maps between conditions across the right scale -- differential bin-pair contacts (multiHiCcompare, diffHic), differential A/B compartments (dcHiC), differential TAD boundaries (delta insulation), and differential loops (diffloop, DiffHiChIP) -- with distance-stratified between-sample normalization, replicate-aware NB-GLM FDR, HiCRep SCC reproducibility gating, and CNV correction for cancer/aneuploid samples. Use when comparing Hi-C between treatment and control, finding differential contacts/compartments/boundaries/loops, normalizing two maps of unequal depth, choosing a replicate-aware test, gating replicates with SCC, or correcting copy-number artifacts before a tumor-vs-normal comparison.
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。
Calculates statistical power for high-dimensional genomics experiments (bulk RNA-seq, scRNA-seq, ATAC-seq, ChIP-seq, methylation, proteomics) under negative-binomial count models using RNASeqPower, PROPER, and simulation via powsimR, distinguishing per-gene from marginal (transcriptome-wide) power, the role of mean expression and dispersion, and the sequencing-depth-versus-replicate tradeoff. Covers simulation as the honest default for overdispersed counts, FDR-aware average power versus single-test power, observed/post-hoc power as an anti-pattern, and the winner's-curse / Type-S / Type-M consequences of underpowering. Use when planning replicate number for a sequencing experiment, deciding whether to add depth or samples, choosing closed-form versus simulation power, estimating power from pilot dispersions, or justifying replication in a grant. For clinical-trial power see clinical-biostatistics/power-and-sample-size; for the inverse sample-size question see experimental-design/sample-size.
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。
Draft copy-paste-ready X replies - two options per reply-worthy tweet from tracked accounts, topics, or lists (default), or ready-to-post responses to engagement opps in recent logs (from-logs)
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。
Price and volume tracker for [REPLACE: TOKEN_SYMBOL] with anomaly alerts above [REPLACE: ALERT_THRESHOLD_PCT]% movement
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。
Weekdays, heavy browser lane. Opens the member's own signed in profile, post, and notification surfaces for every platform in the channel plan, confirms that everything published since the last run is genuinely live, reads the counts attached to each post, captures every comment, mention, quote, reply, and inbound message into a queue the member answers by hand, and drafts a suggested reply for each one. Read only everywhere and totally read only on LinkedIn. It sends only where you released the channel, never replies, spends only where you released it, and never touches a credential.
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。
Viral video replication tool that supports copying popular video structures, scripts, and styles to generate similar content. Use this skill when users mention "viral replication, viral cloning, copy video, clone video, similar video" or express the desire to create content similar to a popular video.
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。
Converts a Claude Code session JSONL file into an animated GIF terminal replay. Use when creating demos or visual evidence from past sessions.
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。
Interact with V2EX (v2ex.com) — browse hot and latest topics, read topic details and replies, search posts, create topics, reply to discussions, thank posts, favorite topics/nodes, follow members, daily check-in. Use this skill whenever the user mentions V2EX, v2ex.com, wants to browse tech forum topics, read V2EX discussions, search V2EX posts, check V2EX notifications, create or reply to V2EX topics, or look up V2EX users/nodes. Also trigger when the user pastes a V2EX URL (e.g. v2ex.com/t/12345), mentions a V2EX node name, or asks about Chinese tech community discussions. Keywords: V2EX, v2ex, 论坛, 技术社区, 节点, 主题, 回复.
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。