Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Generate ARRIVE 2.0 compliant animal research protocols with structured

Use blind-review-sanitizer for academic writing workflows that need structured anonymization, explicit assumptions, and clear output boundaries for double-blind submission.

Use when identifying seminal papers in a research field, mapping research lineage and intellectual heritage, discovering related work through reference tracking, or finding potential collaborators through co-citation analysis. Maps citation networks to trace research evolution, identify influential papers, and discover hidden connections in scientific literature. Supports systematic reviews, bibliometric analysis, and research planning through comprehensive citation tracking.

Check for co-authorship conflicts between authors and suggested reviewers

Simulates NIH study section peer review for grant proposals. Triggers

Assists researchers with Institutional Review Board (IRB) application tasks, including drafting informed consent documents, reviewing research protocols for compliance, generating application forms, and preparing submission checklists. Use when the user mentions IRB, Institutional Review Board, research ethics, human subjects research, protocol review, informed consent, or needs help preparing or reviewing an IRB application or submission.

Use when creating forest plots for meta-analyses, visualizing effect sizes across studies, or generating publication-ready meta-analysis figures. Produces high-quality forest plots with confidence intervals, heterogeneity metrics, and subgroup analyses.

Analyze data with `metagenomic-krona-chart` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Assist in drafting professional peer review response letters. Trigger

Analyze data with `phylogenetic-tree-styler` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Analyze data with `pseudotime-trajectory-viz` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Build complex Boolean query strings for precise PubMed/MEDLINE literature retrieval. Trigger when user needs MeSH term mapping, Boolean query construction, advanced PubMed filters, citation searching, systematic review search strategy, or clinical query optimization.

Polishes response letters by transforming defensive or harsh language.

Analyze data with `smiles-de-salter` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Analyze data with `survival-curve-risk-table` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Automated abstract screening tool for systematic literature reviews with PRISMA workflow support.

Analyze data with `toxicity-structure-alert` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Create and manage stock crypto portfolios with live AISA pricing and P&L tracking. Use when: the user wants to add holdings, inspect portfolio performance, rename portfolios, or review current profit and loss.

Extract clean article content from URLs through the AISA Tavily extract endpoint. Use when: the user already has URLs and needs readable page content for summarization, comparison, or evidence review.

Analyze any GitHub repository in AI-friendly format. Convert entire repos to single markdown documents, generate architecture diagrams with Mermaid, inspect structure trees, language breakdowns, and recent activity. Includes GitHub URL tricks, API shortcuts, and advanced search techniques. Read-only analysis — never executes code from repositories. Built for AI agents — Python stdlib only, no dependencies. Use for repository analysis, code architecture review, open source research, GitHub intelligence, repo documentation, and codebase understanding.

Security audit and quarantine system for third-party OpenClaw skills. Use when evaluating, reviewing, or installing any skill from ClawHub or external sources. Automatically triggered before any skill installation.

AI founder coaching system — daily decision journal, accountability tracking, weekly strategy reviews, and AI-era specific questions on moat, commoditization risk, and outcome-based pricing. Not generic startup advice. Use for founder productivity, decision tracking, and strategic reflection.

Multi-model consensus system — send a query to 3+ different LLMs via OpenRouter simultaneously, then a judge model evaluates all responses and produces a winner, reasoning, and synthesized best answer. Like having a board of AI advisors. Use for important decisions, code review, research verification.

AI research pipeline with automatic logging. Search via Perplexity, auto-save results to SQLite with topic and project metadata, full Langfuse tracing. Never lose a research session again. Use when conducting research, competitive analysis, or building a knowledge base.

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Expert guidance for managing Pull Requests and feature branches using Uber's arh CLI tool. Use when creating features, publishing PRs, managing stacked PRs, merging PRs, rebasing branches, running lint/tests, or navigating feature branches in Uber's web-code monorepo.

Create RFQ-ready 2D DXF (and optional SVG preview) files from a strict, validated JSON spec derived from a natural-language design prompt. Use for sheet/plate parts (waterjet/laser/router) like mounting plates, gussets, brackets, hole patterns, and slots.

Use the Netlify CLI (netlify) to create/link Netlify sites and set up CI/CD (continuous deployment) from GitHub, especially for monorepos (multiple sites in one repo like Hugo sites under sites/<domain>). Use when Avery asks to deploy a new site, connect a repo to Netlify, configure build/publish settings, set environment variables, enable deploy previews, or automate Netlify site creation.

[Experimental] Donate idle compute to fix open source issues. Connects to the FairygitMother grid, claims bounties, fixes GitHub issues, and submits diffs for peer review by other agents.

Use when building, reviewing, debugging, or optimizing NexusFIX-based C++ FIX protocol code. Covers session management, order entry, market data subscription, low-latency message parsing, and zero-allocation hot-path constraints. Also use when generating new FIX connectivity code that must follow C++23 best practices with std::expected error handling, fixed-point arithmetic, and SIMD-accelerated parsing.

Query, troubleshoot, and explain Translink SEQ GTFS static + realtime data using local translink_* commands or plugin slash commands. Use for schedule lookups, stop/route/trip joins, vehicle/trip realtime checks, alerts, schema drift review, PK/FK reasoning, and paginated filtering.

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Cleans filename clutter by removing date timestamps, hashes, UUIDs, and excessive symbols, transforming messy filenames like `report_20230101_a1b2c3d.pdf` into clean, readable ones like `Report.pdf`.

Defensive execution, background scanning, anomaly detection, and prompt-injection containment for Codex/OpenClaw workflows. Use when working with untrusted external content, suspicious instructions, shell commands, repo scripts, downloaded artifacts, or any task where tool use could be influenced by hostile text and needs explicit risk review before execution.

Collect and manage customer reviews via MoltFlow API. Sentiment scoring, testimonial extraction, and review management.

Automate WhatsApp at scale — mine leads from groups with AI, broadcast to channel followers, bulk message with ban-safe delays, schedule campaigns, auto-reply in your voice, collect reviews, and track delivery. 90+ REST endpoints, 32 MCP tools for Claude & GPT, Python SDK. No Meta Business API required. Free tier available.

Standard workflow for ACMG/AMP germline small-variant classification — collect evidence, assign criteria, detect conflicts, and produce a review-ready classification summary. Use when a user wants a structured ACMG/AMP-style interpretation workflow for a germline SNV/indel, including guided evidence intake, criteria assignment, conflict handling, and provisional classification.

Track outreach pitches and draft contextual follow-up emails. Monitors a pitch tracker (Google Sheet or local markdown), checks Gmail for replies, flags stale pitches, and drafts tiered follow-ups (Day 3, Day 7, Day 14) that reference the original pitch content. Use when you need to check on pitch follow-ups, draft follow-up emails, review outreach status, find pitches without replies, or manage an outreach pipeline. Triggers on: 'check follow-ups,' 'who hasn't replied,' 'draft follow-ups,' 'outreach status,' 'pitch tracker,' 'stale pitches,' or any request to manage pitch/outreach follow-up.

Browse categories, preview, apply, and restore OpenClaw SOUL.md personas from a curated remote catalog. Use for /soul categories, /soul list <category>, /soul show <id>, /soul apply <id>, /soul current, /soul restore, /soul refresh, and /soul search <text>.

Search specialty coffee shops in Jerusalem - ratings, amenities, opening hours, reviews, and locations from [coffee.amsterdamski.com](https://coffee.amsterdamski.com), created and curated by [Shaul Am

API Design Reviewer

Atlassian Administrator for managing and organizing Atlassian products (Jira, Confluence, Bitbucket, Trello), users, permissions, security, integrations, system configuration, and org-wide governance. Use when asked to add users to Jira, change Confluence permissions, configure access control, update admin settings, manage Atlassian groups, set up SSO, install marketplace apps, review security policies, or handle any org-wide Atlassian administration task.

Run a single experiment iteration. Edit the target file, evaluate, keep or discard.

Assembles comprehensive board and investor update decks by pulling perspectives from all C-suite roles. Use when preparing board meetings, investor updates, quarterly business reviews, or fundraising narratives. Covers structure, narrative framework, bad news delivery, and common mistakes.

Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes /cs:board, calls a board meeting, or wants structured multi-perspective executive deliberation on a strategic question.

Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments.

Analyzes sales pipeline health, revenue forecasting accuracy, and go-to-market efficiency metrics for SaaS revenue optimization. Use when analyzing sales pipeline coverage, forecasting revenue, evaluating go-to-market performance, reviewing sales metrics, assessing pipeline analysis, tracking forecast accuracy with MAPE, calculating GTM efficiency, or measuring sales efficiency and unit economics for SaaS teams.

Two-layer memory architecture for board meeting decisions. Manages raw transcripts (Layer 1) and approved decisions (Layer 2). Use when logging decisions after a board meeting, reviewing past decisions with /cs:decisions, or checking overdue action items with /cs:review. Invoked automatically by the board-meeting skill after Phase 5 founder approval.

Cross-functional organizational health check combining signals from all C-suite roles. Scores 8 dimensions on a traffic-light scale with drill-down recommendations. Use when assessing overall company health, preparing for board reviews, identifying at-risk functions, or when user mentions org health, health check, or health dashboard.