productivity▌

Custom Semgrep rule creation with test-driven validation and AST-guided pattern development. \n \n Guides iterative rule authoring: analyze problem, write tests first, inspect AST structure, build patterns, validate with semgrep --test , then optimize \n Prioritizes taint mode for data flow vulnerabilities (sources to sinks) over pattern matching to reduce false positives; supports switching between approaches as needed \n Enforces strict testing discipline: 100% test pass required, safe cases m

Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.

Comprehensive performance optimization guide for Framer Motion animations in React applications. Contains 42 rules across 9 categories, prioritized by impact to guide automated refactoring and code generation.

Dolt-backed issue tracker for multi-session work with dependencies and conversation compaction survival. \n \n Persists task context across conversation compaction and multiple sessions using a local Dolt database, with atomic claim-and-start workflow to prevent race conditions \n Tracks task dependencies, blockers, and discovery relationships; use bd ready to surface unblocked work and bd show <id> --long to recover full context after compaction \n Essential commands: bd create , bd ready

Adopt better-result incrementally in existing codebases without rewriting everything at once.

Comprehensive assistance with ccxt development, generated from official documentation.

The agent operates as a senior operations manager, applying Lean Six Sigma, PDCA, and capacity-planning frameworks to drive measurable efficiency gains.

Quick Ref: One command, full lifecycle. /discovery → /crank → /validation. Thin wrapper that delegates to phase orchestrators. YOU MUST EXECUTE THIS WORKFLOW. Do not just describe it. THREE-PHASE RULE + FULLY AUTONOMOUS. Read references/autonomous-execution.md — it defines the mandatory 3-phase lifecycle, autonomous execution rules, anti-patterns, and phase completion logging. Unless --interactive is set, RPI runs hands-free. Do NOT stop after Phase 2. Do NOT ask the user anything between phases

Native home screen widgets for Flutter apps on iOS and Android with cross-platform data sharing. \n \n Establishes data sharing between Dart and native platforms via App Groups (iOS) and SharedPreferences (Android), enabling widget updates from your Flutter app \n Supports simple text-based widgets and complex Flutter UI rendered as static images for native display \n Requires native setup in Xcode (Widget Extension target with Swift TimelineProvider) and Android Studio (AppWidgetProvider with X

当用户没有明确指定时间范围时，根据用户意图推断合适的 relative_time，确保返回的消息能完整覆盖用户关心的内容。用户明确指定时间时直接使用用户的值。