ECC

Intercepts responses to let users choose the depth and token budget before answering, with heuristic token estimation and preset depth levels.

Rates an agent's own output on five axes — accuracy, completeness, clarity, actionability, conciseness — producing a structured scorecard with evidence and improvement suggestions.

Adds a new API connector or provider to a repository by matching its existing integration pattern exactly, including layout, config, auth, error handling, tests, and wiring.

Scores competitors across nine weighted dimensions with explicit 1–5 rubrics and a tension plot, producing comparable profile cards for competitive analysis.

Prevents silent decimal mismatch bugs across EVM chains by querying token decimals at runtime, caching by chain and token address, and using safe normalization for bots, dashboards, and DeFi tools.

Provides safe, reversible database schema change patterns for PostgreSQL, MySQL, and common ORMs, with guidance on zero-downtime deployments, rollbacks, and migration tooling.

Provides deployment strategies, CI/CD pipeline patterns, Docker containerization best practices, health checks, and production readiness guidance for web applications.

Progressively refines context retrieval in multi-agent workflows to solve the subagent context problem.

Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.

Provides Spring Boot architecture patterns for building scalable REST APIs, including layered services, data access, caching, async processing, and logging.

Provides best practices for implementing authentication, authorization, input validation, CSRF protection, secrets management, rate limiting, and dependency security in Spring Boot services.

Provides architecture and implementation patterns for building modules with the tinystruct Java framework, covering dual-mode CLI/HTTP actions, JSON serialization, database persistence, MCP tools, and more.

End-to-end testing for Windows native desktop apps (WPF, WinForms, Win32/MFC, Qt) using pywinauto and Windows UI Automation.

Enforces modern, safe, and idiomatic C++ coding practices based on the C++ Core Guidelines for writing, reviewing, or refactoring C++ code.

Runs a comprehensive verification pipeline for Quarkus projects including build, static analysis, tests with coverage, security scans, native compilation, and diff review before PRs or releases.

Prevents AI-introduced regressions with sandbox-mode API testing, automated bug-check workflows, and patterns that catch blind spots where the same model writes and reviews code.

Analyze and reorganize your X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in your real voice.

Provides patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.

Provides production-ready Dart and Flutter code patterns for null safety, immutable state, async composition, widget architecture, state management, navigation, networking, and testing.

Design task-local harnesses, eval gates, and reusable skill extraction for adaptive agent workflows.