Browse 182,820 skills across 14 categories.
rj-devops-agent
Generate professional graphics, thumbnails, banners, ebook covers, social media visuals. Auto-writes optimized generatio...
rj-linear-agent
rj-meta-agent
Full social media content engine. Creates TikTok scripts, Instagram carousels/reels/captions, LinkedIn posts, X threads,...
rj-stripe-agent
RK1 NPU pool — rkllama server con RKLLM models en RK3588 NPU de los nodos TuringPi 2. Gotchas de device exclusivo, token...
Automate Rkvst tasks via Rube MCP (Composio). Always search tools first for current schemas.
Manage Reinforcement Learning (A/B testing) experiments via Drush CLI. Thompson Sampling multi-armed bandit experiments:...
Design and implement reinforcement learning environments to tune bounded circuit parameters, featuring a sophisticated r...
训练与推理数据不一致的端到端根因分析。当模块映射/值比较不足以定位问题时使用，可追踪首个可信的分歧边界，过滤融合或结构性误报，遵循生产者-消费者链，并生成包含具体假设和证据的根因报告。
通用训推一致性(prefill)的 dump 数据分析 skill。分析**已采集**的训推两侧 dump:探查 dump 结构 → 语义边界映射(不要求算子同名)→ 逐边界精确门禁比对 → 定位首差异 → ULP 量化区分舍入/逻辑级 →...
Systematic RL debugging - diagnose learning failures, common bugs, diagnosis trees
Gym/gymnasium API - custom environments, spaces, wrappers, vectorization, debugging
Rigorous RL evaluation - statistical protocols, train/test discipline, metrics, generalization
Master RL theory - MDPs, value functions, Bellman equations, value/policy iteration, TD
Reinforcement learning for ion shuttling optimization on trapped-ion quantum computers
训推一致性(prefill)采集侧:为训练/推理两侧采集可比的 prefill dump(输入对齐 PROMPTS_ONLY → 参数对齐校验(dump 前前置:校验两侧 config 超参/结构/权重,不一致输出参数不一致点并对齐)→ m...
Reinforcement Learning for Quantum Error Correction control methodology. Based on Google Quantum AI's Willow processor...
Build RL reward signals using the OpenJudge framework. Covers choosing between pointwise and pairwise reward strategies...
RL training for robot control using simulation with sim-to-real transfer
Extend RL to open-ended tasks using structured rubrics as reward anchors, enabling fine-grained evaluation of subjective...
Compute RLAIF AI-labeler alignment, pairwise win rate, harmless rate, and proxy target consistency metrics.
Build RLAIF pairwise AI-feedback labels from label-token logits, optional chain-of-thought rationales, and swapped-order...
Train and validate tiny soft-label pairwise reward models that distill RLAIF AI preference distributions with cross-entr...
Local RAG system management with RLAMA. Create semantic knowledge bases from local documents (PDF, MD, code, etc.), quer...
Understanding Reinforcement Learning from Human Feedback (RLHF) for aligning language models. Use when learning about pr...
Comprehensive guide to rlhf. Master the concepts, implementation, best practices, and real-world applications of rlhf in...
Set up and run the full RLHF pipeline (SFT, reward model training, RL from reward model) using the Tinker API. Use when...
Autonomous RLHF feedback capture - Claude self-captures mistakes and successes
Executing reinforcement learning from human feedback loops.
Use rLLM for language-agent evaluation, dataset/task management, RL/SFT post-training, CLI setup, and gateway-backed rol...
Run a Recursive Language Model-style loop for long-context tasks. Uses a persistent local Python REPL and an rlm-subcall...
Process large codebases (>100 files) using the Recursive Language Model pattern. Treats code as an external environment,...
Use RLM (Recursive Language Models) for verified code execution, calculations, data analysis, and task decomposition. Ex...
Recursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calli...
Process large codebases (>100 files) using the Recursive Language Model pattern. Orchestrates parallel sub-agents to map...
Parallel fan-out processing - spawn multiple sub-agents for chunked context processing
Recursive Language Model context management for processing documents exceeding context window limits. Enables Claude to...
Detect requests for recursive decomposition and large-scale operations that benefit from RLM processing
Implement RLM-style (Recursive Language Model) orchestration for complex tasks. This skill should be used when facing la...
Prepare source content for RLM processing by discovering files, chunking each one, and writing a unified searchable mani...
Process large contexts using RLM (Recursive Language Model) patterns - chunking, filtering, recursive sub-calls
Spawn sub-agent to process focused context and return structured result
Run the full Recursive Language Model pipeline — prep, fan out across chunks, and recursively synthesize until results f...
Show status of RLM task tree execution
Decide when to use grep/rg (literal, fast, exhaustive) vs rlmgrep (semantic, slower, cross-file reasoning), especially f...
Reinforcement Learning with Leave-One-Out estimation for policy optimization.Covers RLOOTrainer, reward function integra...
This skill should be used to audit Row-Level Security and database permissions on a Postgres backend exposed through an...
Operating Row-Level Security at RUNTIME: the two-pool service-context model (DATABASE_SERVICE_URL bypass vs the app pool...
Row Level Security patterns for database operations. Use when writing Prisma/database code, creating API routes that acc...
Consolida múltiples políticas RLS permisivas redundantes en Supabase. Usa cuando hay varias policies del mismo rol/acció...
Generate production-ready Row Level Security (RLS) policies for Supabase tables with is_super_admin() bypass, proper USI...
Optimiza políticas RLS de Supabase usando el patrón (select auth.uid()) para mejor performance. Usa cuando trabajes con...
Expert assistant for validating and creating Row Level Security (RLS) policies in the KR92 Bible Voice Supabase database...
Pure-reference catalog of row-level security for tenant isolation, Postgres-first. Covers enabling RLS (ALTER TABLE ......
Row Level Security policy templates for Supabase - multi-tenant patterns, user isolation, role-based access, and secure-...
Supabase RLS 정책 자동 검증 - 테넌트 격리, 권한 흐름, 정책 활성화 상태 확인
Turn field returns into a structured failure-analysis report — RMA triage taxonomy (NTF vs real failures), Pareto by ver...
Create reproducible bioinformatics analysis reports with R Markdown including code, results, and visualizations in HTML,...
Skill from synqing/K1.hardware
Async/await correctness in React Native with Zustand. Use when debugging race conditions, missing awaits, floating promi...
React Native authentication patterns for Expo apps. Use when implementing login flows, Google/Apple sign-in, token manag...
Ensures buttons use the unified Button component with proper state management, icon support, and glass effect integratio...
React Native 0.77+에서 제거된 Metro 로그 포워딩을 CDP WebSocket으로 대체하는 런북. console.log 출력 복구, 네트워크 요청 모니터링, InspectorProxy 타겟 디스커버리...
React Native project structure, Expo vs bare workflow detection, app.json/app.config.js patterns, asset handling, fonts,...
Native iOS features in Expo React Native apps. Use when implementing camera, push notifications, haptics, permissions, d...
Navigation in React Native — both React Navigation v7 (classical, modular) and Expo Router (file-based, Expo 49+). Stack...
Expo Router navigation patterns for React Native. Use when implementing navigation, routing, deep links, tab bars, modal...
Use this skill for any React Native New Architecture task — always, without exception. Triggers: "new architecture", "ne...
Logging, error messages, and debugging patterns for React Native. Use when adding logging, designing error messages, deb...
Performance optimization for React Native. Use when optimizing lists, preventing re-renders, memoizing components, or de...
iOS / Android platform-specific code in React Native: Platform.OS, Platform.select, .ios.tsx / .android.tsx file extensi...
Checklist for adding or changing a mobile screen or feature in the Expo app (route, feature hooks, API types, states, de...
State management and storage choice in React Native. State libs work mostly the same as web (Zustand, Jotai, Redux Toolk...
Complex multi-step operations in React Native. Use when implementing flows with multiple async steps, state machine patt...
Styling patterns for React Native with NativeWind and BrandColors. Use when working with styles, themes, colors, respons...
Testing React Native: Jest with jest-expo / react-native preset, React Testing Library Native, native module mocking, ho...
Testing patterns for React Native with Jest and React Native Testing Library. Use when writing tests, mocking Expo modul...
Quick start guide for experienced React Native developers transitioning to TV app development. Covers Fire OS, Android T...
Visual testing skill for React Native apps across iPhone models. Use when testing app appearance on iPhone 11 through 17...
Zustand state management patterns for React Native. Use when working with Zustand stores, debugging state timing issues,...
A unified interface for annotating single-cell RNA-seq data using Marker Genes, Deep Learning (CellTypist), or LLMs.
---name: rna-velocity-agent
Workflow for gene and transcript quantification from RNA-seq reads using alignment-based or alignment-free tools.
Infers directional cellular trajectories from scRNA-seq using spliced/unspliced ratios. Use when predicting cell fates,...
Use when summarizing an RNA folding landscape by counting how many structures fall into each energy band, rather than en...
Use when evaluating the free energy (kcal/mol) of an RNA secondary structure, calculating co-folding energies for two RN...
Use when predicting RNA secondary structures, calculating minimum free energy (MFE) folds, or computing partition functi...
Use when computing RNA specific heat profiles from sequence data to analyze melting behavior and thermal stability acros...
Use when performing pairwise structural alignments of RNA sequences that incorporate both sequence and structure informa...
Use when screening a small query RNA against longer target RNA sequences for inter-molecular hybridization sites, especi...
Use when visualizing RNA secondary structures from dot-bracket notation or Stockholm alignments, generating structure di...
Differential expression analysis for bulk RNA-seq and pseudo-bulk count matrices with QC, PCA, and contrast testing.
RNA-seq specific quality control including rRNA contamination detection, strandedness verification, gene body coverage,...
End-to-end RNA-seq workflow from FASTQ files to differential expression results. Covers QC, quantification (Salmon or ST...
Use when calculating thermodynamics of RNA-RNA interactions, including accessibility and binding energy predictions for...
Compute Random Network Distillation novelty bonuses from frozen deterministic target features and trainable predictor me...
Use when assessing random number generation on an authorized engagement. Covers weak PRNGs, seed prediction, VM snapshot...
Use this skill to estimate risk-adjusted net present value for biotech pipelines, clinical assets, drug programs, or pro...