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BlockRun works with Claude Code and Google Antigravity.

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。

Build production-ready Web3 applications, smart contracts, and decentralized systems. Implements DeFi protocols, NFT platforms, DAOs, and enterprise blockchain integrations.

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。

bu skill provides step-by-step procedures for identifying and remediating Amazon S3 bucket misconfigurations that expose sensitive data to unauthorized access. It covers enabling S3 Block Public Access at account and bucket levels, auditing bucket policies and ACLs, enforcing encryption, configuring access logging, and Dağıt:ing automated remediation using AWS Config and Lambda.

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。

Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to tespit etme
reentrancy, integer overflow, access control, and other vulnerability classes before Dağıt:ment to Ethereum mainnet.

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。

OSINT kişi araştırması — sosyal medya, EXIF, bcrypt crack, geolocation

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。

Siber Vatan CTF playbook — flag formats, web/reverse/forensics/blockchain/OSINT/stego/crypto recipes, and pivot heuristics tailored to the Turkish CTF circuit.

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。

ALWAYS use this skill when the user asks to schedule, automate, set up recurring tasks, create a cron job, or anything involving timed / periodic execution. Do NOT use the local system crontab — scheduled tasks are stored on the Unique AI Platform and executed by a Kubernetes CronJob, not locally. Scheduled tasks always run on the current assistant (`$UNIQUE_ASSISTANT_ID`); never ask the user which assistant to use, neither in chat nor via `unique-cli elicit ask`. This skill covers creating, listing, updating, enabling, disabling, and deleting scheduled tasks via the unique-cli schedule command.

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。

skill の棚卸し（廃止候補 / 重複統合 / owner 明記チェック）。 skill 候補キュー（knowledge/skill-candidates.md と .local.md の合計）の pending が 5 件以上、 または work-skill 数（org-* を除く）が 20 以上のときだけ実行する。「棚卸しして」でも起動。

ワーカーから「判断仰ぎます」「承認を仰ぎます」「続行可否」「スコープ拡張提案」 「想定外」「runbook 逸脱」「ブロック / ブロッカー」等の peer message を受信した際、 窓口は一次承認せず人間にエスカレーションする。発動条件は worker からの judgment-escalation / scope-expansion / blocker メッセージ受信時。 通常の進捗 / 完了報告は org-delegate Step 5 (1) / (2a) で扱う。本スキルは 「自己解釈で承認しないための register 更新を含む正準フロー」を担当する。

Team standup board (Busabase App-in-Skill) for team leads. Use when the user invokes $kelly-standup or /kelly-standup, or asks for standup, daily standup, 晨会, daily check-in, team status board, 团队日报, blockers, who's working on what, team digest, check-in streaks, missing check-in reminders, or collecting async updates from Slack/WeCom/Discord/WhatsApp/docs into one board.

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。

Music-video production skill for turning an existing MP3 into a pure-visual (no-voiceover) music video through a bundled Busabase App-in-Skill UI. Use when the user wants to build an MV from a song they upload: write a one-line concept, keep a cast of characters with reference cards, and break the song into storyboard shots where each shot has a scene description and an image + video that can be either AI-generated (image-to-image from the character cards, draft video via local LTX) or uploaded by the user. Same character/storyboard management model as kelly-drama. Song generation (creating the song itself, incl. voice-cloned singing) is a documented future capability.

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 WeChat relationship strategy App-in-Skill. Reads the operator's own local WeChat through wechat-cli-rs, discovers candidates against an explicit goal, promotes only user-selected people into Busabase, and builds relationship snapshots and next-action suggestions without sending messages or modifying WeChat.

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。

Legal casebase App-in-Skill (Busabase-backed) intake and anonymization QA desk for law-firm judgment and award documents. Use when the user invokes $kelly-legal-casebase-ingest, mentions internal case database, 智能案例库, 裁判文书入库, 脱敏, 结构化, 分类标注, 案例审核, 质量验收, or wants a Busabase-backed desk where reviewers approve, revise, or block agent-prepared case records before they become searchable knowledge assets.

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。

Legal precedent App-in-Skill (Busabase-backed) desk for internal casebase search, local court-pattern analysis, similar-case packs, citations, and approval-gated research exports. Use when the user invokes $kelly-legal-precedent-desk, mentions 类案检索, 本地裁判尺度, 内部案例库查询, 案例查阅与收藏, precedent research, similar cases, legal research pack, or wants a Busabase-backed desk where lawyers review agent-prepared precedent findings before reuse.

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。

Build, maintain, and run conformance tests for canonical App-in-Skill projects created by kelly-app-skill-creator. Use when a Kelly app skill needs contract checks, local server smoke tests, responsive browser acceptance, temporary open-source Busabase integration, environment-gated Busabase Cloud OAuth verification, lazy provisioning checks, persistence tests, AirApp parity tests, or CI coverage. Keep app creation in kelly-app-skill-creator and own only the reusable test harness, per-skill fixtures, execution gates, diagnostics, and truthful pass/fail/skip reporting.

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 and create Busabase-backed App-in-Skill packages with a canonical app project, Busabase-native setup and product onboarding, review/execution workflows, a standardized responsive UI, and AirApp-first delivery. Use when a user wants a Busabase research desk, review queue, planner, action console, operating dashboard, control panel, collaboration workspace, onboarding/readiness flow, or an existing Kelly App-based skill updated. Every generated skill contains a complete app/ project, deploys that source to Busabase AirApp by default, runs pnpm dev only when local preview is explicitly requested, follows the Kelly desktop and phone UI contract, delegates AirApp runtime, SDK, security, scaffolding, and deployment constraints to busabase-app-creator, and delegates repository-level conformance testing to kelly-app-skill-creator-tests.

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。

uv (Astral 製 高速 Python パッケージ / プロジェクトマネージャー) のリファレンス。 pyproject.toml, uv.lock, uv init / add / sync / run / lock, uv pip, uv venv, uvx / uv tool, uv python install / pin, PEP 723, tool.uv.sources, uv build / publish, uv_build, uv.toml, UV_* 環境変数, uv auth, Docker / GitHub Actions / PyTorch 連携。

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。

Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.

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。

Detect PowerShell Empire framework artifacts in Windows event logs by identifying Base64 encoded launcher patterns, default user agents, staging URL structures, stager IOCs, and known Empire module signatures in Script Block Logging events.

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。

Run a reviewer subagent against uncommitted local changes, a named branch, or a GitHub PR. Local and branch modes write a review file plus a summary to disk. PR mode posts the findings as a PENDING GitHub review for the user to inspect and submit through the UI.

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。

Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude 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。

Designs genomics experiments so technical nuisance variation (batch, lane, plate, flow cell, operator, reagent lot, processing day) is balanced against the biological variable of interest and therefore estimable rather than confounded, using constrained sample-to-batch assignment (designit, OSAT), the confounder/mediator/collider distinction, and the principle that no post-hoc correction recovers a fully confounded design. Covers detecting hidden batches with surrogate variable analysis, a decision table for downstream correction (ComBat-seq, RUVSeq, SVA) whose execution is deferred to differential-expression/batch-correction, and reproducibility metadata. Use when assigning samples to sequencing batches/lanes/plates, avoiding batch-condition confounding, deciding whether a design is salvageable by correction, choosing a correction method, or estimating the number of hidden batches. For the experimental unit, randomization, and blocking concepts see experimental-design/randomization-blocking.

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。

Build genome-browser-style multi-track figures with pyGenomeTracks (config-driven), Gviz (R), and IGV batch screenshotting. Covers BigWig coverage tracks, BED/peak overlays, gene-model rendering, Hi-C matrix tracks, BedPE link arcs, spike-in-aware normalization, and the bamCoverage --normalizeUsing trap. Use when producing publication figures of genomic loci with stacked aligned tracks (coverage, peaks, genes, interactions) for ChIP-seq, ATAC-seq, RNA-seq, Hi-C, or generic locus 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。

Estimates the minimum biological replicates (or cells/events) for a target power at a target FDR in genomics experiments using ssizeRNA, PROPER, powsimR for scRNA-seq, and pilot-data dispersion estimation from DESeq2/edgeR. Covers the biological-versus-technical replication distinction (technical replicates do not add degrees of freedom for biological inference), replicate-number-versus-sequencing-depth budgeting, scRNA-seq sample-versus-cell allocation under a pseudobulk model, and the critique that "n=3" is a publication convention rather than a power calculation. Use when budgeting a sequencing experiment, writing the sample-size justification in a grant, estimating replicates from pilot data, allocating a fixed budget between samples and depth, or planning scRNA-seq cohort size. For clinical-trial sample size see clinical-biostatistics/power-and-sample-size; for the power-given-n direction see experimental-design/power-analysis.

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。