Explore a codebase to find opportunities for architectural improvement, focusing on making the codebase more testable by deepening shallow modules. Use when user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more AI-navigable.

Implement Apollo.io webhook and event-driven integrations. Use when receiving Apollo notifications, syncing data on changes, or building event-driven pipelines from Apollo activity. Trigger with phrases like "apollo webhooks", "apollo events", "apollo notifications", "apollo webhook handler", "apollo triggers".

Deploy Apollo.io integrations to production. Use when deploying Apollo integrations, configuring production environments, or setting up deployment pipelines. Trigger with phrases like "deploy apollo", "apollo production deploy", "apollo deployment pipeline", "apollo to production".

Collect Apollo.io debug evidence for support. Use when preparing support tickets, documenting issues, or gathering diagnostic information for Apollo problems. Trigger with phrases like "apollo debug", "apollo support bundle", "collect apollo diagnostics", "apollo troubleshooting info".

When the user wants to find Slack groups, Discord servers, Reddit communities, forums, or online communities where their target audience hangs out. Also use when the user mentions "where to promote", "find communities", "community marketing", or "distribution channels".

When the user wants to set up ongoing tracking of competitor activity — pricing changes, feature launches, hiring signals, content, or public mentions. Also use when the user mentions "track competitors", "what are competitors doing", "competitor alerts", or "market watch".

When the user wants to identify, evaluate, or prioritize potential investors for a fundraising round. Also activates when the user asks "who should I pitch?", "find me investors", "build an investor list", or mentions VC/angel targeting.

When given a Python project codebase, this skill helps the agent to set up virtual environments, install dependencies, and run scripts.

Generate dynamic-object binary masks after global motion compensation, output CSR sparse format.

Systematic debugging that applies the scientific method to failures. Use when the user says "debug this", "why is this failing", "help me find the bug", "this doesn't work", "track down the issue", or is stuck on a problem and thrashing without progress.

Remove AI-generated code slop from the current branch. Use after writing code to clean up unnecessary comments, defensive checks, and inconsistent style.

Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.

Use when packaging a project that uses the Zig build system, when an element needs zig fetch/build with offline dependency caching, or when adding Zig dependencies to an existing element

Multi-agent orchestration for complex tasks. Use when tasks require parallel work, multiple agents, or sophisticated coordination. Triggers include requests for features, reviews, refactoring, testing, documentation, or any work that benefits from decomposition into parallel subtasks. This skill defines how to orchestrate work using cc-mirror tasks for persistent dependency tracking and TodoWrite for real-time session visibility.

Facilitate effective sprint retrospectives for continuous team improvement. Use when conducting team retrospectives, identifying improvements, or fostering team collaboration. Handles retrospective formats, action items, and facilitation techniques.

Analyze application logs to identify errors, performance issues, and security anomalies. Use when debugging issues, monitoring system health, or investigating incidents. Handles various log formats including Apache, Nginx, application logs, and JSON logs.

Predict ADME pharmacokinetic properties and drug-likeness of small molecules using validated cheminformatics models. Supports absorption, distribution, metabolism, excretion prediction, QED/MPO scoring, and batch library screening from SMILES input.

AllBeads development process. Use when planning features, creating documentation, tracking work with beads, or understanding the documentation system.

Comprehensive guide for creating effective landing pages using Next.js or React. This skill should be used when users request to create landing pages, marketing pages, or product pages that require the 11 essential elements for high-converting landing pages. Specifically designed for Next.js 14+ App Router with ShadCN UI components.