7 runnable Monte Carlo simulation tools extracted from a viral quant article. Importance sampling, particle filters, copulas, agent-based markets, variance r...

Design data-driven product sampling campaigns including target audience selection, distribution channel optimization, sample size calculation, feedback colle...

Standardize video sampling and frame indexing so interval instructions and mask frames stay aligned with a valid key/index scheme.

Judge whether an email is important/urgent using content-based analysis rather than sender name or mailbox labels (which can be spoofed). Use when asked to triage emails, decide priority, detect phishing/social-engineering, or recommend next actions (reply/pay/login/download/c…

AutoMD-GROMACS: AI-friendly molecular dynamics automation for GROMACS with workflow, enhanced sampling, special-system simulation, advanced analysis, and pub...

Experience hip-hop / rap as data. AI agents stream harmonic separation, chroma, equations. Provenance reasoning measured.

Pure Python memory manager for preserving and retrieving multi-layered AI memories across sessions, topics, and time without external dependencies.

Fetch Amazon product reviews through the Reveyes task API, choose cost-aware sampling by user intent, reuse permanent tasks, perform evidence-grounded Voice...

Split large files, run parallel processing, and stream batch analysis. Use when sampling datasets, aggregating logs, or transforming bulk data.

Write a factory acceptance test (FAT) plan or report — test coverage matrix against spec, AQL sampling plan, pass/fail criteria, golden-sample handling, devi...

Structured logging extensions for Golang using samber/slog-**** packages — multi-handler pipelines (slog-multi), log sampling (slog-sampling), attribute form...

Display the first lines of files. Use for quickly previewing file contents, checking headers, or sampling data.

Build a cost-efficient LLM evaluation ensemble with sampling, tiebreakers, and deterministic validators. Learned from 600+ production runs judging local Olla...

Randomly shuffle lines of text input. Use for random sampling, data randomization, and selection tasks.

Plan and price a multi-city event staffing program with one consolidated quote. Use when a user is staffing a tour, roadshow, sampling or mall tour, festival...

Learn to enhance LLM performance using test-time compute with parallel sampling, sequential revision, and process reward models for better reasoning.

Deep distributed tracing workflow—instrumentation boundaries, context propagation, sampling, tail-based analysis, service maps, and using traces for latency...

Automatically records and backs up conversations with importance tagging to preserve emotional and technical context independently from OpenClaw internals.

No API key, instant access. Binance and CoinGecko use our news data. AI reads 20+ crypto media outlets in real time and ranks every article by importance. Ma...

Two-phase daily memory persistence for AI agents. v3.0: unified pack+dispatch cron, smart silence handling, memory importance tiers, cross-group correlation,...

ETH24 provides a daily digest of the top tweets on a configured topic, ranked by importance with spam filtered and brief commentary included.

A comprehensive AI agent skill that transforms your email from a source of stress into a managed system. Triages your inbox by urgency and importance, drafts...

Fetch Gmail emails from the last 24h, rank by importance, summarize into bullet points, and auto-create Google Calendar events for detected meetings.

Iris Pro — Inbox Intelligence. Reads your Gmail inbox, scores every email by urgency and sender importance, drafts full personalised replies for every acti...

Iris — Rainbow Messenger. Reads your Gmail inbox, scores every email by urgency and sender importance, drafts replies for the top 5, and produces a daily act...

Visualize Key Purchase Criteria importance and performance. Use for competitive positioning and product strategy.

Fetch Gmail emails from the last 24h, rank by importance, summarize into bullet points, and auto-create Google Calendar events for detected meetings.

Structured long-term memory for AI agents with fact curation, conflict detection, importance scoring, timeline reconstruction, and OpenClaw integration.

Cognitive memory architecture for OpenClaw agents — periodic dream cycles that consolidate daily logs into structured long-term memory with importance scorin...

Brain-like local memory plugin for OpenClaw — stores, searches, and injects memories with importance scoring, entity extraction, and automatic consolidation.

Monitor official Polymarket sources (The Oracle blog, API status) for important updates, security alerts, and breaking news. Automatic importance scoring wit...

Persistent memory engine for AI agents with semantic recall, hotness prioritization, importance weighting, time decay, and auto-compaction. Zero external dep...

Feeds OpenClaw dreamer with high-importance memories from SQL, archives dream outputs back to SQL, and prunes old dream files automatically.

Semantic memory layer for OpenClaw agents. Use when: (1) persisting agent memories with importance scoring, (2) hierarchical memory rollups (daily→weekly→mon...

Aggregate and deduplicate multiple RSS/Atom feeds, score and cluster articles by importance, and generate concise, source-attributed daily digests.

A practical memory management system for OpenClaw: importance scoring, time-decay cleanup, write triggers, hybrid retrieval, and daily maintenance workflow.

yan-watchman is a Rust-based multi-platform AI assistant message watchdog with intelligent importance scoring and adaptive monitoring frequency.

A popular science writing assistant that explains scientific concepts in everyday language, telling stories, using examples and metaphors to spark interest and emphasize importance.