Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability — from…
Techniques de feature engineering pour améliorer les modèles ML. Se déclenche avec "feature engineering", "features", "transformation de données", "encoding", "normalisat — from…
Feature Engineering Helper - Auto-activating skill for ML Training. Triggers on: feature engineering helper, feature engineering helper Part of the ML Training skill category.
Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines. — from product/product-misc
Auto-generate features with encodings, scaling, polynomial features, and interaction terms for ML pipelines. — from majiayu000/claude-skill-registry
Engineer features for tabular models (aggregations, encodings, interactions) that add signal without leaking.
[METHODOLOGY] Feature delivery orchestration (agent waves, review cycles max 3 rounds, commit-per-wave). Preloaded by dev-engineering-lead agent.
Discovers KrakenD features, checks edition availability (CE vs EE), and provides implementation examples
Use when building a non-trivial ChurchCore Ops feature end to end, especially when product rules, architecture, backend, frontend, tests, and validation are all involved.
Manage features.yml for tracking requirements and progress; use proactively ONLY when features.yml already exists, or invoke manually to create one; complements TodoWrite for…
Feature flag implementation, management, and cleanup. Handles flag creation, gradual rollout strategies, A/B testing wiring, stale flag detection, and safe flag removal.
Expert guide for Feature Flags & Progressive Rollout (PostHog, LaunchDarkly, GrowthBook), A/B testing orchestration, and canary releases / Panduan ahli Feature Flags, A/B testing,…
Enables controlled rollout and instant rollback by configuring feature flags for every risky change. Use when asked to feature flag configurator. Suggest when relevant.
Implement environment-safe feature flags using Custom Metadata Types for Apex, LWC, and Flow. NOT for user-level entitlements or permission sets.
Write a feature flag management guide and lifecycle playbook for a service or team — covering flag taxonomy, creation checklist, rollout strategy, monitoring requirements, cleanup…
Manage feature flag add, rollout, and removal. Use when introducing flags or cleaning old flags, or Chinese "特性开关", "feature flag", "灰度", "删 flag". Prevent eternal flags.
Automate the complete lifecycle of feature flags in Saberloop, following Epic 10 hygiene standards
機能フラグ（Feature Flag/Feature Toggle）による段階的リリースとA/Bテスト実装スキル。 リスク管理とカナリアリリースを可能にし、本番環境での安全な機能展開を実現します。
Plan feature flag rollout and cleanup. Use when a mid-level developer needs controlled release guidance.
Cargo feature flags for crates/xberg — ORT-incompatible targets (WASM, Android x86_64 emulator), type-only and tract inference companion features, WASM/Android-safe variants, PDF…
Retire stale feature flags by confirming each flag's decided final state, then collapsing every conditional to the winning branch and deleting the loser plus the now-dead code it…
Integrate feature flagging into the React component lifecycle for safe continuous delivery.
Use when introducing a feature flag system, choosing between release flags / experiment flags / operational flags / kill switches / permission flags, designing percentage…
PM-facing playbook for phased rollouts with feature flags -- taxonomy (release / experiment / ops / permission), rollout shapes, kill-switch decision tree, holdouts, flag debt…
Concevoir et implémenter un système de feature flags pour des déploiements progressifs, A/B testing, canary releases et kill switches.
Testing feature flag implementations including flag evaluation, gradual rollout verification, fallback behavior, and flag cleanup detection.
Operational discipline for feature flags as production infrastructure. Flag types, naming, targeting rules, rollout strategy, lifecycle, governance, stale flag management, and the…
Use when after drift correction in non-targeted LC-MS metabolomics workflows, when you need to decide which molecular features are sufficiently reproducible (low instrument/QC…
Use when implementing runtime feature toggles, emergency kill switches, or gradual rollout controls in Apex using Custom Metadata Types, Custom Permissions, or Hierarchical Custom…
Use when adding, retiring, or auditing feature flags. Triggers on "add a flag", "ship behind a flag", "rollout plan", "kill switch", "stale flags", "flag debt", "LaunchDarkly",…
Audit and inventory all feature flags declared in the Packmind codebase. Use when the user asks to list, audit, review, or inventory feature flags, asks which flags are active,…
Use when feature flag tests fail, flags need updating, understanding @gate pragmas, debugging channel-specific test failures, or adding new flags to React.
Ship code behind flags without accumulating flag rot, through disciplined naming, expiry, and cleanup sweeps.
Database-backed feature flag systems in the Orient. Use when implementing feature flags, debugging flag-related issues, or understanding the flag hierarchy.
Gestion de feature toggles avec LaunchDarkly, OpenFeature et implémentations custom pour le déploiement progressif et l'A/B testing.
Implements feature flags and progressive delivery — kill switches, percentage/targeted rollouts, sticky hashed bucketing, fail-safe evaluation, 1→10→50→100 ramps with…
Guides a user through DDD → BDD → TDD → Git for a single feature, staying code-agnostic and interactive.
Groepeert verspreide code per domein — twee varianten. Variant A (apps): migreert een bestaand domein (themes, emails, meetings, ...) van horizontaal verspreid over actions/,…
Conducts structured requirements workshops to produce feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation c — from…
운세 기능 전체 생성. Edge Function, 모델, 서비스, 페이지, 라우트를 한 번에 생성합니다. 운세/궁합/타로/사주 등 새 기능 추가 시 사용.
거친 기능 아이디어나 FRD 초안을 받아, EARS Acceptance Criteria·Contract(파라미터/상태전이)·Resource 체크리스트·Edge Case·Testing Strategy를 갖춘 정련된 FRD.md로 완성한다.
Start a new feature from Linear backlog. Refines backlog item, breaks into sub-tasks if needed, and starts work.
Mega-composite for end-to-end greenfield feature: idea → ADR → plan → implement → test → merge → deploy → capture.
Assemble the command registry so optional modules only load when their feature flag is enabled and the registry is accessed.
Analyze OpenShift feature gate differences between versions. Identifies new feature gates, removed gates, and default enablement changes.
React Native Feature 模块生成指南。当用户提到"创建 feature"、"新建模块"、"生成功能"、"添加功能模块"、"feature 模板"时使用此 skill。
Use when you have a feature table from LC-MS analysis (containing m/z, retention time, and intensity values) and need to identify which detected features represent the same…
Use when you have a detected LC-MS feature table (with m/z, retention time, and intensity columns) and need to identify which features are derivatives of the same parent molecule…
Use when you have a feature table from nontargeted LC-MS peak detection (containing m/z, retention time, and intensity values) and need to disambiguate whether detected features…
Use when after initial retention-time-based feature grouping (e.g., ±20 s window) when you need to separate co-eluting features that are chemically distinct.
Use when after sample alignment and isotopologue/adduct grouping are complete, when you need to associate MS2 spectral data (DDA-acquired) with the consolidated feature groups to…
Use when you have a feature list with m/z values from HRMS data and need to identify homologous PFAS series to prioritize suspect screening.
Use when after LCMS feature alignment (e.g., Eclipse output) when you have a feature table with retention times and intensity profiles across multiple injections, and you need to…
Helps non-technical Claude users instantly understand any Claude feature or capability.
Use when when you have high-resolution tandem MS/MS spectra in mzML, mzXML, or MGF format and need to cluster or search millions of spectra efficiently.
Use when after constructing MetaboSet objects from Excel-formatted LC-MS peak tables and before drift correction or quality flagging.
"מה זה שובר?" — ניתוח השפעה חובה לפני ותוך כדי הוספת תכונה חדשה או שינוי התנהגות במנהל חלוקה. יש לטעון את הסקיל הזה בכל פעם שמבקשים "תוסיף", "תעשה שיהיה אפשר", "כפתור חדש",…
Product strategist for scoring and ranking feature ideas using RICE/ICE prioritization frameworks, connecting features to business KPIs (retention, growth, revenue), and…
New feature implementation. Use for 'add feature', 'implement', 'new feature' requests
Comprehensive checklist for implementing new features in Ishkul. Ensures all aspects are covered including frontend, backend, tests, E2E tests, infrastructure, and documentation.