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概要と使いどころ
Reports how local Git branches are progressing toward canonical upstream inclusion as a compact terminal table plus a browser-rendered HTML report, with branch purpose, stack dependencies, Git Machete topology, ahead/behind counts, change-request status, and next action. Use when asked for upstreaming status, local branch submission progress, which branches have change requests, or what remains before they can land.
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。
Deterministic AI development workflow orchestrator. Manages task boards (.jonggrang/jonggrang-tasks.json), runs 16-phase pipelines (BUGFIX/SMALL/MEDIUM/LARGE), installs lifecycle hooks for Claude Code and OpenCode, and coordinates five specialist roles (Lead/Developer/Reviewer/TestLead/Tester). Use when planning features, executing multi-step development workflows, or orchestrating AI coding agents. Run via npx jonggrang.
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 MindIE-SD documentation, governance, contributor workflow, commit or PR conventions, history cleanup, template changes, and version-policy updates with minimal context, fixed review steps, and deterministic output. Use this skill whenever the task touches docs/ 或文档站点内容与配置（Sphinx / Read the Docs / conf.py / index.md / 目录导航 / 首页）、中英文双语配套、治理文档、贡献流程说明、PR/MR 模板或标题正文规范、提交历史整理、版本策略与发布规则。即使用户只说「改个文档」「双语要同步」「commit message 怎么写」「PR 模板加一项」「把提交压一下」「rebase 冲突怎么理」而未提治理规范，也应触发。不负责通用工程实现与仓库默认工作流定义（后者以 AGENTS.md 为准）；Python 格式见 code-standards，Markdown 格式见 markdown-lint。
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。
Drafts a Chapter 11 Plan of Reorganization under 11 U.S.C. §§ 1121–1129 with claim classification, treatment provisions, distribution mechanics, executory contract determinations, and confirmation compliance. Use when preparing reorganization plans, restructuring debts, classifying claims, drafting Chapter 11 plans, or helping debtors emerge from bankruptcy. Trigger keywords: reorganization plan, Chapter 11, plan of reorganization, debt restructuring, cramdown, claim classification, confirmation order.
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。
Guides the agent through TRID tolerance compliance under 12 CFR § 1026.19(e)(3), comparing Closing Disclosure fees to Loan Estimate fees across zero, 10% cumulative, and unlimited tolerance categories. Use when reviewing a CD for tolerance variances, determining whether a revised LE is permitted, calculating cure amounts, or resolving post-closing tolerance violations.
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。
Drafts U.S. Customs and Border Protection binding ruling requests under 19 CFR Part 177 for tariff classification, valuation, origin, and marking determinations. Trigger when input mentions "binding ruling," "CBP ruling request," "19 CFR Part 177," "classification request," "HTSUS analysis," "transaction value," "country of origin," or "marking for import."
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。
Validates and summarizes the four required authorization forms in a personal injury matter (retainer, HIPAA release, insurance authorization, employment record release). Confirms signatures, dates, scope, and completeness to determine readiness for the investigation phase. Use when reviewing client onboarding packets, verifying authorization forms before discovery, or checking HIPAA and record-release compliance.
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。
Verifies legal citations and retrieves source material using the case.dev Legal Research API and CLI. Use when validating a citation, confirming a case exists, pulling source text, finding related authorities, extracting citations from a brief or opinion, or building a filing-ready authority check without branded citator terminology.
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。
AI compliance analysis for EU AI Act, ISO 42001, NIST AI RMF, GDPR, OECD, financial services regulations (SEC, FCA, FINRA, DORA, MiFID II), and other frameworks. Use when asked to generate a compliance checklist for an AI tool or use case, determine if a risk assessment is required, score an AI tool's risk level, identify where an AI tool or use case could run afoul of regulatory requirements, perform a gap analysis, recommend remediation steps, assess a vendor, draft an acceptable use policy, map training requirements, or review jurisdiction-specific AI rules. Triggers on phrases like "compliance checklist", "risk assessment", "risk score", "does this comply", "EU AI Act", "ISO 42001", "NIST AI RMF", "AI governance", "gap analysis", "vendor assessment", "acceptable use policy", "MNPI", "AI training requirements", or any request to evaluate an AI tool or use case for regulatory compliance or risk.
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 human-in-the-loop review points for DAG workflows. Determines what to present to the human, how to collect feedback, and how to route approve/reject/modify decisions back into the DAG. Use when adding approval gates, designing review UX, or handling human feedback in agent workflows. Activate on "human review", "approval gate", "human-in-the-loop", "human gate", "approval workflow", "user review step". NOT for executing human gates at runtime (use dag-runtime with Temporal signals), general UX design, or chatbot conversation 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。
Use for sensemaking, frame revision, anomaly handling, questioning strategy, and ambiguity diagnosis with the Data/Frame model before action is chosen. NOT for deterministic classification, settled execution planning, or situations where the frame is already stable.
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。
Apply Conway's homomorphism principle to multi-agent system design, recognizing that agent coordination structure predetermines system architecture and 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。
Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.
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 build beautiful, accessible graphical interfaces — web, desktop (Electron/Tauri), and native (iOS/macOS/Android). Use for visual hierarchy and layout, color and theming (light/dark, semantic tokens, WCAG contrast), typography systems, motion and micro-interactions, accessibility, component systems and design tokens, responsive/adaptive layout, and platform-native idioms. The GUI counterpart to beautiful-cli-design. NOT for terminal/CLI output (use beautiful-cli-design) or API/data schemas.
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。
Capture, gate, query, and render long-term project knowledge through the gated `mewkit wiki` subsystem. Use to create a wiki, propose/approve candidates (scanner-gated), hand off a skill's terminal artifact as a scanned candidate, recall context, search the FTS index, or list pages. Agents may only PROPOSE candidates; canonical pages are written only via human approve. NOT for short-lived JSON memory (see mk:memory); NOT for fetching external sources (see mk:wiki-research); NOT for HTML snapshots (see mk:wiki-render).
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。
Deterministically score comparable imported review-run lanes with root-cause metrics and uncertainty. Use only when the user explicitly asks to benchmark normalized local review runs or use the bundled synthetic fixture.
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。
Verify one approved SwiftUI feature slice against its behavioral parity contract with deterministic and conditional Apple-platform checks.
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 at the START of every task, before writing any code, running tests, debugging, reviewing, or designing. This skill determines which methodology and domain skills must be invoked. MUST be invoked before any implementation, debugging, review, testing, or specification work begins.
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。
Record Claude Code sessions with asciinema. TRIGGERS - record session, asciinema record, capture terminal, demo recording.
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 feature end to end — scout the code, plan it, build it, and keep a session file so a closed terminal doesn't lose the thread.
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 and analyzes pooled prime-editor (PE) screens for installing precise genetic variants without bystander confounding. Covers pegRNA design with PRIDICT and PRIDICT2 for predicting per-pegRNA editing efficiency, pegRNA architecture (spacer + scaffold + PBS + RTT), PE2/PE3/PE3b/PEmax variants, MOSAIC in situ saturation mutagenesis, the PRIME pooled-screen methodology (Ren 2023; ~3,699 ClinVar variant screens), chromatin context as a major locus-level determinant of PE efficiency, scaffold-incorporation and indel byproduct quantification with CRISPResso2, and the cross-modal validation strategy of PE + base-editor screens for variant function. Use when designing a pegRNA library for variant installation, choosing between BE and PE for a specific edit, predicting pegRNA efficiency before library synthesis, analyzing PE screen output, distinguishing intended-edit from scaffold-incorporation, or scaling PE screens to thousands of variants.
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。
Call copy number variants with the GATK best-practices workflows — the somatic CNV pipeline (CollectReadCounts, DenoiseReadCounts with tangent normalization, ModelSegments, CallCopyRatioSegments) and the germline GATK-gCNV pipeline (DetermineGermlineContigPloidy, GermlineCNVCaller cohort/case mode, PostprocessGermlineCNVCalls). Covers panel-of-normals construction, AnnotateIntervals/FilterIntervals, allelic-count integration, and QS-based filtering. Use when integrating CNV calling into a GATK variant pipeline, calling rare germline CNVs from an exome cohort, deciding between the somatic and germline GATK workflows, or diagnosing why tangent normalization removed a real event or why gCNV output has low precision.
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。
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.
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。
Determines if patient meets criteria for genital gender-affirming surgery affecting fertility. Triggers include patient on hormones, considering surgery.
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。