Core Dump Analysis skill for the ikigai project

CoreML diagnostics - model load failures, slow inference, memory issues, compression accuracy loss, compute unit problems, conversion errors.

Optimize CoreML models for iOS and macOS deployment. Covers quantization, palettization, pruning, Neural Engine targeting, compute unit selection, and performance profiling. Use when converting ML models to CoreML, optimizing model size/latency, debugging Neural Engine issues, or benchmarking on-device inference.

CoreML API reference - MLModel lifecycle, MLTensor operations, coremltools conversion, compression APIs, state management, compute device availability, performance profiling.

将文本、URL或文件内容自动转换成美观的Cornell笔记HTML格式，包含Cue Column、Notes Column和Summary三部分，并自动更新index.html索引

Gap detection and knowledge mapping techniques for comparing BRD requirements against corpus coverage. Includes SurrealQL queries for analyzing sources, entities, and topic coverage, plus prioritization frameworks for research task generation.

Enforce mature commit hygiene and documentation standards for long-lived projects. Trigger this skill automatically in ANY project before ANY commit creation, whether prompted by human, agent, or another skill; always do this, to ensure changesets are clean, tests pass, commit messages are terse and insightful, and all committed content is timeless rather than dependent on circumstantial context to cohere or be useful. Targets senior/staff engineer standards - no cruft, no debug statements, no transient language, no obvious comments. Maintains README accuracy and prevents documentation bloat.

Automatic session tracking and memory system for Claude Code. Activates when working in git repositories to track file changes, commits, and session context. Creates .cortex_log.md (session history), .cortex_status.json (current state), and .cortex_handoff.md (next steps) for session continuity across conversations. Use when needing persistent memory, session handoffs, or work history tracking.

Expert guidance for Cosmian Key Management System including key generation, certificate management, encryption operations, access policies, and KMS CLI operations. Use this when working with Cosmian KMS, cryptographic key management, or Cosmian-specific PKI operations.

Clean Architecture and Cosmic Python guidance for well-tested, layered Python systems. Use for designing Python projects with layered architecture (models, adapters, services, entrypoints), enforcing Clean Code and SOLID principles, testing strategies (unit tests, BDD, Gherkin), CI/CD setup (pytest, tox, importlinter), and architectural decision-making (ADRs). Applicable to systems requiring strict boundary enforcement, clean separation of concerns, and comprehensive test coverage.

Scans Cosmos SDK blockchains for 9 consensus-critical vulnerabilities including non-determinism, incorrect signers, ABCI panics, and rounding errors. Use when auditing Cosmos chains or CosmWasm contracts.

Cost approach valuation for specialized infrastructure (transmission towers, telecom sites, substations) using replacement cost new less depreciation (physical, functional, external). Use for specialized asset valuation when market comparables are unavailable or incomplete. Provides RCN estimation, depreciation analysis across three categories, and market approach reconciliation.

1. 코딩 테스트 문제 풀이를 제출하면, 코드를 검토합니다.

This skill automates the creation of structured learning materials for coding test (CoTe) algorithm and data structure patterns. When a user requests learning materials for a specific pattern or conce

Multi-model AI council for actionable project advice. Leverages Gemini 3 Flash and GPT-5.2 skills in parallel, then synthesizes through an Opus Judge for stage-appropriate, non-overkill recommendations. Use when seeking architectural guidance, code review synthesis, or implementation planning.

Multi-perspective analysis methodology for complex decisions. Dynamically generates relevant expert viewpoints, consults each perspective systematically, and synthesizes insights into balanced recommendations. Use when users face decisions with multiple considerations, tradeoffs, or competing values.

Overview of 7 core perspectives with variable naming system. Use when need to understand the full council structure, adapt perspective names to domains, or see the complete framework.

Multi-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.

Spawn 5 Opus subagents with randomly-generated distinct personas to debate a problem from multiple angles. Use when exploring UX decisions, architecture choices, or any decision that benefits from diverse perspectives arguing creatively.

Orchestrates multi-model LLM consensus through a three-phase deliberation protocol. Use when you need collaborative AI review, multi-model problem-solving, code review from multiple perspectives, or consensus-based decision making. Coordinates OpenAI Codex, Google Gemini, and Claude CLIs for opinion collection, peer review, and chairman synthesis.

Route code reviews to appropriate council members. Use when reviewing PRs, architecture decisions, or significant code changes that need expert perspective.

Simulate expert perspectives for code guidance, style, and debates.

This skill provides guidance for counting tokens in datasets using specific tokenizers. It should be used when tasks involve tokenizing dataset content, filtering data by domain or category, and aggregating token counts. Common triggers include requests to count tokens in HuggingFace datasets, filter datasets by specific fields, or use particular tokenizers (e.g., Qwen, DeepSeek, GPT).

Design educational courses and curriculum with learning objectives and assessments

This skill analyzes or creates course descriptions for intelligent textbooks by checking for completeness of required elements (title, audience, prerequisites, topics, Bloom's Taxonomy outcomes) and providing quality scores with improvement suggestions. Use this skill when working with course descriptions in /docs/course-description.md that need validation or creation for learning graph generation.

Explain how and when to use Chain of Verification (CoVe) in prompt design. Use when designing prompts that require factual accuracy, self checking, or reduction of hallucinations.

cover-letter-generator

Generate book cover art prompts for image generation models. Reads project content and produces optimized prompts for Kindle-dimension covers.

Advanced coverage analysis with actionable insights. Use to identify coverage gaps, suggest specific tests, track coverage trends, and highlight critical uncovered code. Essential for reaching 80%+ coverage target.

Ensure test coverage percentage is displayed in README.md for Next.js and Python projects following industry standards

Coverage thresholds and reporting. Use when analyzing and improving test coverage.

Define pragmatic, ROI-focused test coverage strategies.

Integrate coverport into Go repositories with Tekton pipelines to enable e2e test coverage collection and upload to Codecov. Use this skill when users ask to integrate coverport, add e2e coverage tracking, or set up coverage instrumentation for Go projects.

Write Go code in the style of Russ Cox, Go tech lead. Emphasizes tooling, module design, correctness, and backward compatibility. Use when designing packages, modules, or tools that others will depend on.

Expert guidance on writing in Chamath Palihapitiya's communication style across 5 formats (Annual Letters, Customer Briefs, Emails, Policy Ideas Briefs, Learn with Me Presentations). Use when helping with any writing task, document creation, editing, reviewing communications, or answering questions about how to write something. Includes 10 universal principles, format-specific playbooks, internal team email guidance, templates, decision frameworks, and quality control checklists. MODULAR ARCHITECTURE: Optimized for LLM consumption with selective context loading (core + format).

This skill should be used when working with C++ projects, CMakeLists.txt, Ninja, clang-tidy, clang-format, GoogleTest, Catch2, or Modern C++ (C++11-23) language patterns. Provides comprehensive C++ ecosystem patterns and best practices.

C++ development guidelines for modern C++17/20 projects. Use when creating C++ classes, functions, headers, or working with CMake, templates, smart pointers, RAII, memory management, STL containers, multithreading, or C++ best practices. Covers project structure, modern C++ idioms, build systems, testing with GoogleTest/Catch2, and performance considerations.

Use when creating generic and type-safe C++ libraries with templates, SFINAE, concepts, and compile-time metaprogramming.

C++ coding standards and best practices.

Expert on K1810VM86 (Intel 8086) CPU architecture for ES-1841. Provides guidance on registers, instruction decoding, memory segmentation, interrupts, bus cycles, and x86-16 behavior.

Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths consuming most CPU time for better performance and resource efficiency.

Use when symfony cqrs and handlers

CQRS (Command Query Responsibility Segregation) patterns with MediatR for .NET Clean Architecture projects. Covers commands, queries, handlers, validation, and pipeline behaviors.

This skill provides guidance for cracking 7z archive password hashes. It should be used when tasks involve extracting hashes from password-protected 7z archives, selecting appropriate cracking tools, and recovering passwords through dictionary or brute-force attacks. Applicable to password recovery, security testing, and CTF challenges involving encrypted 7z files.

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'Captures writing style/voice into AUTHOR_VOICE.md so AI can write like the user. Use when asked to match tone, write like me, replicate voice, or capture writing style for content generation.'

Generates git commit messages following conventional commit standards with collaborative attribution. Use when user requests commit message creation, drafting, or help with formatting.

Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.