Agent Skills Hub

refactoring

Linter-driven refactoring agent that resolves complexity issues like cyclomatic depth, primitive obsession, and long functions using automated pattern extraction.

tldr

Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.

context-fundamentals

Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.

openclaw-test-heap-leaks

Investigate and resolve OpenClaw test memory leaks, Vitest OOMs, and RSS growth using heap snapshots.

notion-knowledge-capture

Transforms chat conversations into structured Notion documentation, saving insights, decisions, and knowledge to your workspace with proper organization.

comps

Perform comprehensive trading comparables analysis using peer multiples, operational KPIs, and valuation modeling to assess company relative value.

parallel-agents

Orchestrate complex workflows by coordinating multiple specialized AI agents for multi-perspective code analysis, feature implementation, and system-wide reviews.

rust-developer

Expert Rust development guide based on real-world code reviews. Ideal for idiomatic code, performance tuning, error handling, and avoiding common pitfalls in CLI and production tools.

positioning-ideas

Brainstorm differentiated product positioning strategies, identify key competitors, and craft compelling positioning statements with strategic rationale.

gpt-researcher

GPT Researcher is an autonomous AI agent for comprehensive web and local research, generating detailed, cited reports using a planner-executor-publisher architecture.

Vercel Deploying

Automated Vercel production deployment agent that fetches logs via MCP, identifies build errors, applies fixes, and retries until success.

git.pr.create

Automate pull request creation for Carbon ACX with comprehensive summaries, structured test plans, and standardized formatting using the GitHub CLI.