Agent Skills Hub

context-management

Proactive context window management for AI agents via intelligent token monitoring, snapshot creation, and selective state rehydration to maintain continuity during long sessions.

springboot-tdd

Test-driven development (TDD) workflow for Spring Boot applications using JUnit 5, Mockito, MockMvc, and Testcontainers.

hegelion

Dialectical reasoning and adversarial coding agent for MCP-enabled editors, forcing LLMs to resolve internal contradictions for higher quality outputs.

network-watcher

Audit outbound network requests and detect data exfiltration patterns in OpenClaw skills to ensure secure outbound communication.

clean-comments

Streamline your codebase by automatically removing redundant or obvious comments while preserving essential architectural and logic-focused documentation.

synapse

Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.

semgrep

Run Semgrep static analysis scans on codebases using parallel subagents, multi-language detection, and Pro-enabled cross-file taint tracking.

scientific-brainstorming

Creative research ideation partner for exploring interdisciplinary connections, challenging assumptions, and generating testable scientific hypotheses.

receiving-code-review

Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.

test-design-techniques

Expert systematic test design using BVA, equivalence partitioning, decision tables, and combinatorial testing to maximize coverage and minimize redundancy.

openclaw-test-heap-leaks

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

avoid-feature-creep

A framework for software teams and AI agents to prevent feature creep, enforce scope discipline, and ship focused MVPs by applying strict validation, backlog hygiene, and clear decision-making processes.