1,484 件 ・ 関連度順
概要と使いどころ
Pre-ticket Fibonacci sizing for a paste-mode batch of user stories. Default mode is advisory-only (writes a Story Sizing Report). Opt-in `--auto-create` delegates ticket creation to mk:jira-issue + mk:jira-collaborate with mandatory dry-run + single batch confirmation gate. NOT for single-ticket estimation (mk:jira-estimator); NOT for sprint capacity (mk:planning-engine).
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 writing, reviewing, or refactoring Vue 3 code — components, composables, reactivity, Pinia state, Pinia Colada data-fetching, file-based routing, and forms. Targets Composition API + <script setup> + TypeScript. Auto-activates on .vue files. For deep best-practices review/recommendations or the full ordered workflow (built-in components, animations, performance pass), use mk:vue-best-practices.
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。
Turn a raw idea into ONE honest recommendation: interview one question at a time until confirmed, then give a verdict with trade-offs and a checklist. Not for options or debate.
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。
Routing skill — recommends the correct mk:jira-* leaf for any Jira task. Triggers: 'jira', 'jira ticket', ambiguous Jira intent. NOT an executor — every actual operation forks via a leaf 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。
Design and review durable REST, GraphQL, RPC, or event-facing API contracts. Use for public or shared API contracts, endpoint/schema consistency, compatibility, pagination, error semantics, and API documentation. Discovers existing consumers and conventions before recommending a style.
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 navigation assistant. Scans project state (plans, reviews, tests, git) and recommends the next step in the 7-phase pipeline. Use when asked "what should I do next?", "where am I?", "help", or at session start. NOT for domain complexity routing (see mk:scale-routing); NOT for skill discovery (descriptions handle that automatically).
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-only audit of `.claude/` structural overhead. Reports prioritized "remove X save Y tokens" recommendations against the model context window. NOT for monetary cost tracking — that's /mk:budget. NOT for transcript size monitoring — long-session continuity defers to Claude Code native compaction. NOT for runtime context decisions (what to read, when to compact) — see mk:context-engineering. Use when planning to add context capacity, diagnosing perceived slowdowns, or auditing health.
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。
Routing skill — recommends the correct mk:confluence-* leaf for any Confluence Cloud task. Triggers: 'confluence', 'wiki page', 'spec page', ambiguous Confluence intent. NOT an executor — every actual operation forks via a leaf 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。
Analyze release workflow findings and recommend follow-up actions — execute immediately or register as issues
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 a LiveAvatar integration end-to-end — assesses the user's existing stack, recommends the optimal path, and guides implementation. Use when: (1) Building a new LiveAvatar integration, (2) Adding a real-time avatar to an app or site, (3) Connecting LiveAvatar to an existing AI pipeline, (4) User mentions LiveAvatar, real-time avatar, interactive avatar, conversational avatar, or lip-sync avatar, (5) Deciding between Embed, FULL Mode, and LITE Mode, (6) Migrating from HeyGen Interactive Avatar to LiveAvatar.
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。
Analyze design trends and recommend appropriate styles, color palettes, and typography systems for your project based on current design movements. NOT for accessibility auditing or full design system creation.
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。
Learns from DAG execution history to improve future performance. Identifies successful patterns, detects anti-patterns, and provides recommendations. Activate on 'learn patterns', 'execution patterns', 'what worked', 'optimize based on history', 'pattern analysis'. NOT for failure analysis (use dag-failure-analyzer) or performance profiling (use dag-performance-profiler).
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。
Tracks iteration progress toward task completion goals. Monitors quality trends, detects plateauing, and recommends when to stop iterating. Activate on 'convergence tracking', 'iteration progress', 'quality trend', 'stop iterating', 'progress monitoring'. NOT for iteration detection (use dag-iteration-detector) or feedback synthesis (use dag-feedback-synthesizer).
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。
Strategic analyst that maps competitive landscapes, identifies white space opportunities, and provides positioning recommendations. Use when users need competitive analysis, market positioning strategy, differentiation tactics, or "how do I stand out?" guidance across any domain (portfolios, products, services). NOT for market size estimation or financial forecasting.
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。
Calls m6A peaks from MeRIP-seq / m6A-seq paired IP-vs-input data using exomePeak2 (transcript-aware, GC-bias-corrected Poisson GLM), MeTPeak (HMM over sliding windows), MACS3/MACS2 with --nomodel --broad --keep-dup all (genome-wide broad alternative), and DRACH motif enrichment via HOMER or ggseqlogo as a sanity check (NOT a filter). Covers BED12 vs narrowPeak output, exonic vs intronic peak handling, multi-tool reconciliation (intersection vs union), the m6A-vs-m6Am ambiguity at 5'UTR peaks that antibody methods cannot resolve, and orthogonal validation (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, reconciling differing peak sets across tools, validating MeRIP peaks against single-base methods, interpreting 5' peaks where m6Am contamination is possible, or recommending a consensus strategy.
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。
This skill recommends against initiating puberty blocking or gender-affirming hormone treatment in prepubertal children diagnosed with gender dysphoria or gender incongruence. Clinical triggers include a young child presenting with GD/gender incongruence and caregivers or clinicians considering hormone intervention.
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。
Recommends CGM over SMBG for type 1 diabetes patients on multiple daily injections to reduce hypoglycemia risk. Triggered by clinician questions such as "Should I use CGM or SMBG for this T1D patient on MDI?" or "Is CGM preferred for glucose monitoring in this patient?"
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。
Recommends real-time CGM with confirmatory POC-BG for insulin dosing adjustments in insulin-treated hospitalized adults at high risk of hypoglycemia when resources and training are available. Triggers include: "Should we use CGM for insulin adjustments?" or "Is CGM appropriate for this patient?
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。
Recommends using continuous glucose monitoring instead of fingerstick self-monitoring for type 1 diabetes patients on multiple daily injections to reduce hypoglycemia risk. Use when a clinician evaluates glucose monitoring options for T1D on MDIs or manages hypoglycemia-prone T1D patients.
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。
Recommends contraception when pregnancy is not desired for individuals with diabetes who could become pregnant. Triggered by discussions about pregnancy planning, contraception needs, or when pregnancy is not desired.
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。
Recommends early delivery based on individualized risk assessment rather than expectant management for pregnant patients with preexisting diabetes mellitus (PDM). Consider when evaluating delivery timing in the presence of diabetes‑related complications, suboptimal glycemia, abnormal fetal growth, or maternal comorbidities that may increase perinatal risk beyond 38 weeks gestation.
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。
Recommends discontinuation of GLP-1RA before conception rather than between start of pregnancy and end of first trimester for individuals with type 2 diabetes who are planning pregnancy. Trigger when clinician considers stopping GLP-1RA therapy in a patient with type 2 diabetes who is planning pregnancy or seeking preconception care.
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。
Recommends continuing insulin pump therapy in hospitals with pump expertise; otherwise transitioning to scheduled subcutaneous basal bolus insulin if anticipated length of stay exceeds 1–2 days before pump discontinuation. Consider this when anticipating a hospital stay >2 days, lacking pump expertise, or needing to conserve supplies.
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。
Recommends use of hybrid closed-loop pump rather than insulin pump with CGM (without algorithm) or multiple daily injections with CGM for pregnant individuals with type 1 diabetes. Triggered when deciding on insulin delivery methods for pregnant patients with type 1 diabetes.
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。