Skill UI

Generates a precise, evidence-based installation plan for a project's component catalog (ECC). Instead of loading a full, noisy bundle, this skill analyzes the repository's actual code structure, dependencies, and CI/CD evidence to classify skills, rules, and commands into 'DAILY' (essential) and 'LIBRARY' (referenceable) buckets. It ensures only necessary components are active, optimizing the development environment.

Guides installation, update, and reconfiguration of ECC (Everything Claude Code) inside Claude Code, Codex, and Kimi, respecting each harness's native plugin, scope, and hook capabilities. Detects the current harness, asks only supported choices, previews, applies non-interactively, verifies, and renders a welcome message.

This guide helps users navigate and understand the complex components of the ECC (Everything Claude Code) ecosystem, including skills, commands, agents, hooks, and rules. It provides structured paths for new user onboarding, feature discovery, installation planning, and troubleshooting, ensuring answers are derived from the current repository state.

Map a described workflow to the right ECC command-GROUP with run-order and stop condition, and browse all command-group recipe families. Adds family-grouping, run-order and stop-condition guidance on top of the flat command catalog. Advisory only.

A specialized audit skill designed to identify and quantify resource leakage, excessive costs, and billing vulnerabilities within complex development tool workflows (e.g., GitHub Apps). It traces webhook events, queue processing, and model calls to pinpoint where token burn or unauthorized resource usage is occurring, ensuring cost efficiency and clean billing practices.

This skill guides the process of converting complex, repetitive, and often private operational workflows originating in the Hermes environment into safe, reusable, and public skills for the ECC workflow layer. It focuses heavily on data sanitization, requiring users to strip out all sensitive information such as absolute paths, private credentials, personal identifiers, and proprietary data before publication. Use this when an internal 'operator' routine needs to become a standardized, shareable business asset.

This guide addresses the critical difference between standard Node.js SHA3-256 and the Keccak-256 hash function required by Ethereum. Using the wrong hash function can silently corrupt calculated function selectors, event topics, storage slots, and derived addresses. It provides best practices and code examples for using dedicated libraries (like ethers, viem, web3.js) to ensure correct, Ethereum-compliant hashing in JavaScript and TypeScript environments.

This skill provides a comprehensive, read-only audit of a development workspace, including active repositories, installed plugins, connected services, and environment configurations. It analyzes existing capabilities against best practices to identify functional gaps and recommends the most valuable ECC-native skills, hooks, and workflows needed to enhance the development experience. Ideal for setup planning and architectural reviews.

Share durable context and handoffs between AI agents like Claude and Codex via the local ECC Memory Vault. Use this skill to save work state, transfer context, resume tasks, or search shared project knowledge across different agent harnesses.

This comprehensive guide helps computer vision researchers strategically position their work for the Asian Conference on Computer Vision (ACCV). It covers how to evaluate manuscript fit, restructure the narrative from general to conference-specific, optimize evidence presentation (including ablations and failure modes), and understand ACCV's regional niche compared to global flagships like CVPR or ECCV.

A comprehensive guide for managing the entire lifecycle of major academic conference submissions (e.g., CVPR). It details critical timelines, from initial scope freezing and paper drafting to supplement submission, rebuttal writing, and resubmission strategies across different venues (ICCV, ECCV). Focuses heavily on project management and coordination to prevent process failures.

This guide provides a detailed strategy for managing and releasing research artifacts (code, models, data) associated with a vision paper submitted to ECCV. It covers two critical phases: the sealed, anonymous archival submission during review, and the structured public release runway post-acceptance, ensuring reproducibility and adherence to conference policies.