Professional beautification tool for gene expression heatmaps, automatically adds clustering trees, color annotation tracks, and intelligently optimizes label layout.

Analyze physician academic influence and collaboration networks

Use when optimizing LinkedIn profiles for doctors, physicians, nurses, healthcare professionals, or medical researchers. Crafts compelling headlines, writes professional summaries, integrates healthcare keywords, and builds personal branding for medical careers.

Train high-performance medical LLMs on consumer GPUs using parameter-efficient

Create memory aids for anatomy and pharmacology

Calculate breeding timelines and cage requirements for transgenic mouse

Full AI agent memory stack — Mem0 unified memory engine with vector search (Qdrant) and knowledge graph (Neo4j), plus SQLite for structured data. Complete setup script and tools. Give your OpenClaw agent a real brain with semantic recall, entity relationships, and structured storage.

Pinecone vector database — manage indexes, upsert vectors, query similarity search, manage namespaces, and track collections via the Pinecone API. Build semantic search, recommendation systems, and RAG pipelines with high-performance vector storage. Built for AI agents — Python stdlib only, zero dependencies. Use for vector search, semantic similarity, RAG applications, recommendation engines, and AI memory systems.

Wise (TransferWise) — international transfers, multi-currency balances, recipients, exchange rates, and statements.

AI-powered resume optimization for ATS compatibility, keyword matching, and bullet point quality — all via the Placed API. No MCP server required.

aida

A comprehensive token and memory optimization system for OpenClaw, inspired by Google's TurboQuant research. Achieves up to 99% token savings through intelligent context compression, semantic deduplic

Query Prometheus monitoring data to check server metrics, resource usage, and system health. Use when the user asks about server status, disk space, CPU/memory usage, network stats, or any metrics collected by Prometheus. Supports multiple Prometheus instances with aggregated queries, config file or environment variables, and HTTP Basic Auth.

Persistent project planning for AI agents. Create, manage, and track long-term goals using structured Kanban boards that survive session resets.

Website Audit mit 230+ Rules für SEO, Performance, Security, Technical und Content Issues. LLM-optimierte Reports mit Health Scores und Handlungsempfehlungen.

LLM fingerprint noise injector. Sends behaviorally realistic randomized queries to Anthropic, Z.ai, and any OpenAI-compatible provider on a schedule to depersonalize your usage profile and prevent behavioral fingerprinting. Available as a native OpenClaw plugin (no extra config — reuses your existing provider keys) and a standalone Python script.

A self-reflection engine that analyzes AI agent decision logs to identify reasoning flaws and suggest optimization patches, improving long-term performance and reducing hallucination.

A self-improving memory engine that uses AI to compress, reflect on, and retrieve past agent actions and decisions, enabling smarter long-term autonomy—critical for developers building persistent AI a

>

>

A high-performance Toggl Track agent skill optimized for token efficiency and reporting.

SEO optimizer and compliance checker for Chinese social media. Optimizes titles, keyword density, hashtags, and scans for advertising-law banned words (广告法违禁词).

kol-tracker

A comprehensive AI marketing partner for DTC ecommerce. Combines multiple diagnostic and optimization skills powered by Attribuly first-party data.

When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' or 'partner program.' This skill covers program design, incentive structure, and growth optimization.

Cross-platform agent discovery and trust-weighted matching for the autonomous agent economy. Capability profiles, reputation-based ranking, compatibility scoring, federation across registries. Find the right agent for any task. Part of the Agent Trust Stack.

LLM-friendly keyword research CLI for AI agents. Check search volume, CPC, keyword difficulty, and competition via DataForSEO API. Find related keywords, analyze competitor rankings. Outputs TSV by default (optimized for agent context windows). Use when doing SEO research, content planning, or competitive keyword analysis.

Analyze Xcode build logs — timing, warnings, errors, slow compiles, and build history from DerivedData.

Agent迁移包模板是一个帮助Agent跨平台迁移的工具包，保存记忆、关系、技能、风格等核心数据，实现"核心保留、环境自适应"的迁移理念。

Search historical entertainment, nightlife, and culture venues in Tel Aviv-Yafo and Haifa from [timemap.co.il](https://timemap.co.il) - a community-curated database mapping bars, cafes, clubs, cinemas

Token-safe prompt assembly with memory orchestration. Use for any agent that needs to construct LLM prompts with memory retrieval. Guarantees no API failure due to token overflow. Implements two-phase context construction, memory safety valve, and hard limits on memory injection.

Execute GUI actions — click, type, send messages. Includes detection, memory matching, component saving, execution, diff, and transition recording as one unified flow.

Visual memory system — split storage, component forgetting, state merging, transition dedup.

Track and report GUI agent task performance — automatic data collection, manual report command.

Auto-hook tools for OpenClaw: query Whisper Context before every generation, ingest after every turn. Built for Telegram agents (stable user_id/session_id).

Official Whisper Context skill for OpenClaw. Cuts context tokens via delta compression + caching, and adds long-term memory across sessions.

Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling.

Show experiment dashboard with results, active loops, and progress.

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.

Cascades strategy from boardroom to individual contributor. Detects and fixes misalignment between company goals and team execution. Covers strategy articulation, cascade mapping, orphan goal detection, silo identification, communication gap analysis, and realignment protocols. Use when teams are pulling in different directions, OKRs don't connect, departments optimize locally at company expense, or when user mentions alignment, strategy cascade, silo, conflicting OKRs, or strategy communication.

Analyzes campaign performance with multi-touch attribution, funnel conversion analysis, and ROI calculation for marketing optimization. Use when analyzing marketing campaigns, ad performance, attribution models, conversion rates, or calculating marketing ROI, ROAS, CPA, and campaign metrics across channels.

Full content production pipeline — takes a topic from blank page to published-ready piece. Use when you need to execute content: write a blog post, article, or guide end-to-end. Triggers: 'write a post about', 'draft an article', 'create content for', 'help me write', 'I need a blog post'. NOT for content strategy or calendar planning (use content-strategy). NOT for repurposing existing content (use content-repurposing). NOT for social captions only.

Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis.

Design, optimize, and communicate SaaS pricing — tier structure, value metrics, pricing pages, and price increase strategy. Use when building a pricing model from scratch, redesigning existing pricing, planning a price increase, or improving a pricing page. Trigger keywords: pricing tiers, pricing page, price increase, packaging, value metric, per seat pricing, usage-based pricing, freemium, good-better-best, pricing strategy, monetization, pricing page conversion, Van Westendorp. NOT for broader product strategy — use product-strategist for that. NOT for customer success or renewals — use customer-success-manager for expansion revenue.

When the user wants to develop social media strategy, plan content calendars, manage community engagement, or grow their social presence across platforms. Also use when the user mentions 'social media strategy,' 'social calendar,' 'community management,' 'social media plan,' 'grow followers,' 'engagement rate,' 'social media audit,' or 'which platforms should I use.' For writing individual social posts, see social-content. For analyzing social performance data, see social-media-analyzer.

Creates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs for Series A+ startups scaling internationally. Use when planning marketing strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or startup marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships for hybrid PLG/Sales-Led motions in EU/US/Canada markets.

When the user wants to design, launch, or optimize a referral or affiliate program. Use when they mention 'referral program,' 'affiliate program,' 'word of mouth,' 'refer a friend,' 'incentive program,' 'customer referrals,' 'brand ambassador,' 'partner program,' 'referral link,' or 'growth through referrals.' Covers program mechanics, incentive design, and optimization — not just the idea of referrals but the actual system.

SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.

Video intelligence and content analysis using Memories.ai LVMM. Discover videos on TikTok, YouTube, Instagram by topic or creator. Analyze video content, summarize meetings, build searchable knowledge bases across multiple videos. Use for video research, competitor content analysis, meeting notes, lecture summaries, or building video knowledge libraries.

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training.