Results for “rch”

Guides developers through adding new RPC commands to Wave Terminal, covering interface definitions, type conventions, code generation, and implementation across server, Electron, frontend, remote, and terminal components.

Bitcoin Core JSON-RPC interface: authentication (cookie, rpcauth), wallet vs node RPCs, common verbs (getblockchaininfo, getrawtransaction, scantxoutset, importdescriptors, walletprocesspsbt, submitpackage, testmempoolaccept), error handling. USE WHEN: scripting bitcoind, integrating a service, debugging RPC errors.

Structures a Request for Comments (RFC) document for proposing significant technical changes that require cross-team input and approval, guiding authors through problem definition, proposed solution, alternatives analysis, and rollout planning.

Restructure code while preserving behavior: confirm tests are green, refactor in small steps, keep tests green, review, and commit with a gated workflow.

People leadership for scaling companies. Hiring strategy, compensation design, org structure, culture, and retention. Use when building hiring plans, designing comp frameworks, restructuring teams, managing performance, building culture, or when user mentions CHRO, HR, people strategy, talent, headcount, compensation, org design, retention, or performance management.

Build and debug Retrieval-Augmented Generation pipelines — chunking, embedding, retrieval, reranking

RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.

Manage schemas, subjects, compatibility levels, modes, and contexts in the Redpanda Schema Registry via the rpk registry CLI. Register or fetch Avro, Protobuf, and JSON schemas, set compatibility levels, change registry mode, and work with schema contexts.

RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.

Train large language models (7B-70B+) with RLHF using PPO, GRPO, DPO, and other algorithms, accelerated by Ray and vLLM for distributed multi-GPU setups.

Render videos from React/Remotion component code via inference.sh CLI. Pass TSX code, get MP4 output with configurable resolution, FPS, duration, and codec.

Fetch, cache, and revalidate data in React with SWR — stale-while-revalidate data fetching library by Vercel. Use when someone asks to "fetch data in React", "SWR", "data fetching hook", "cache API calls", "stale-while- revalidate", "auto-refresh data", or "React data fetching without Redux". Covers data fetching, caching, revalidation, mutation, pagination, and optimistic updates.

Weekly churn risk detection across active client accounts. Scans for signals like decreased engagement, missed meetings, delayed payments, and competitor mentions. Scores risk 1-10 and outputs prioritized alert list.

Merge many sources into one cited, deduplicated answer with per-claim confidence.

Runs a deeper code review with the GLM-5 model via glm-review, validates findings against the actual code, and reports only confirmed issues.

Use when building, indexing, or querying local XML record archives from NCBI Entrez databases, creating inverted indices, or managing PubMed local caches.

ROACH v1.0 — Striker-only scanner. Stalker mode disabled entirely. Tests whether Stalker adds any value or is pure drag. Only trades violent FIRST_JUMP explosions backed by 1.5x volume. Will have long stretches of silence — that patience is the edge. All hardened gates preserved. XYZ banned. Leverage 7-10x. DSL exit managed by plugin runtime via runtime.yaml.

Customer retention analysis, churn prediction, cohort analysis, win-back campaigns, and loyalty program design. Use when the user asks about churn, retention, customer lifetime value, cohort analysis, or win-back strategies.

Generate a complete Rust Model Context Protocol server project with tools, prompts, resources, and tests using the official rmcp SDK.

Use RWKV, a linear-time RNN-Transformer hybrid, for efficient long-context inference and training with constant memory usage.

Use for writing, reviewing, debugging, or testing Python terminal presentation built with Rich, including Console streams, Text and markup safety, tables, trees, panels, progress, status, Live displays, render protocols, and deterministic output capture. Do not use for CLI argument parsing, structured logging design, browser UI, or machine-readable protocol output that must remain plain.

SWR data-fetching expert guidance. Use when building React apps with client-side data fetching, caching, revalidation, mutations, optimistic UI, pagination, or infinite loading using the SWR library.

Turn churned and downgraded accounts into an early-warning system. Reads the customers who left or shrank, extracts the themes behind why, builds a warning checklist from the real causes, then reads your active book and flags which accounts look like the ones that just churned. Built for B2B retention teams, customizable to your CRM and your customer data. Trigger on "why do customers churn", "what do churned accounts have in common", "build me a churn early-warning list", "which accounts are at risk of churning", "who looks like a recent churner", or any retention post-mortem.

Provides a structured 5-phase workflow for bug bounty and SRC vulnerability hunting, including 19 attack-type playbooks, 305 structured payloads, 263 WAF bypass variants, and 2,887 real HackerOne case studies.

Install the rpk CLI on macOS, Linux, or Docker, and configure profiles, connection settings, SASL/TLS credentials, and Enterprise licenses for Redpanda clusters.

Monitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.

Run STORM phase 1 — multi-perspective research. This skill should be used when the user asks to "research a topic for an article", "find sources on X from multiple perspectives", "do storm research on X", or invokes /storm:research. Discovers personas, runs simulated Q&A per persona in parallel, and produces an information table + deduplicated sources.

Daily customer health scoring across the active book of business. Pulls usage signals from PostHog and subscription state from Stripe, scores each active customer per the brand's customer-success playbook, updates the Notion customer DB, and Slack-alerts on at-risk transitions. Runs daily on cron schedule.

Executes Python code iteratively via an MCP bridge to produce verified results for calculations, data analysis, and task decomposition.

Track technical changes with structured records, a state machine, and session handoff. Usage: /tc <init|create|update|status|resume|close|export|dashboard> [args]

Finds the open GitHub PR for the current branch and helps address review comments using the gh CLI.

Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems.

Use to plan an ACM/IEEE HRI campaign backward from the full-paper deadline through the abstract-then-paper two-step, the rebuttal, the program-committee meeting, camera-ready, and the March conference, coordinating the parallel alt.HRI, Late-Breaking Reports, video, and Student Design deadlines.

Run a structured churn-save play for an at-risk account to diagnose root cause and reverse the decision.

Read and write data to the agency CRM (Google Sheets via webhook or API)